diff --git a/.coveragerc b/.coveragerc
deleted file mode 100644
index 2a1c2d22..00000000
--- a/.coveragerc
+++ /dev/null
@@ -1,13 +0,0 @@
-[run]
-branch = True
-
-[report]
-show_missing = True
-omit =
-    google/cloud/speech/__init__.py
-    google/cloud/speech/gapic_version.py
-exclude_lines =
-    # Re-enable the standard pragma
-    pragma: NO COVER
-    # Ignore debug-only repr
-    def __repr__
diff --git a/.flake8 b/.flake8
deleted file mode 100644
index 87f6e408..00000000
--- a/.flake8
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[flake8]
-ignore = E203, E231, E266, E501, W503
-exclude =
-  # Exclude generated code.
-  **/proto/**
-  **/gapic/**
-  **/services/**
-  **/types/**
-  *_pb2.py
-
-  # Standard linting exemptions.
-  **/.nox/**
-  __pycache__,
-  .git,
-  *.pyc,
-  conf.py
diff --git a/.github/.OwlBot.lock.yaml b/.github/.OwlBot.lock.yaml
deleted file mode 100644
index a934f1e0..00000000
--- a/.github/.OwlBot.lock.yaml
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-docker:
-  image: gcr.io/cloud-devrel-public-resources/owlbot-python:latest
-  digest: sha256:4f9b3b106ad0beafc2c8a415e3f62c1a0cc23cabea115dbe841b848f581cfe99
-# created: 2023-10-09T14:06:13.397766266Z
diff --git a/.github/.OwlBot.yaml b/.github/.OwlBot.yaml
deleted file mode 100644
index 22d8511e..00000000
--- a/.github/.OwlBot.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-# Copyright 2021 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-docker:
-  image: gcr.io/cloud-devrel-public-resources/owlbot-python:latest
-
-deep-remove-regex:
-  - /owl-bot-staging
-
-deep-copy-regex:
-  - source: /google/cloud/speech/(v.*)/.*-py/(.*)
-    dest: /owl-bot-staging/$1/$2
-
-begin-after-commit-hash: 5b168da672b70ae9b5897b268b5e62f1c932a411
-
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
deleted file mode 100644
index 62aced93..00000000
--- a/.github/CODEOWNERS
+++ /dev/null
@@ -1,12 +0,0 @@
-# Code owners file.
-# This file controls who is tagged for review for any given pull request.
-#
-# For syntax help see:
-# https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners#codeowners-syntax
-# Note: This file is autogenerated. To make changes to the codeowner team, please update .repo-metadata.json.
-
-# @googleapis/yoshi-python @googleapis/cdpe-cloudai are the default owners for changes in this repo
-*     @googleapis/yoshi-python @googleapis/cdpe-cloudai
-
-# @googleapis/python-samples-reviewers @googleapis/cdpe-cloudai are the default owners for samples changes
-/samples/   @googleapis/python-samples-reviewers @googleapis/cdpe-cloudai
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
deleted file mode 100644
index 939e5341..00000000
--- a/.github/CONTRIBUTING.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# How to Contribute
-
-We'd love to accept your patches and contributions to this project. There are
-just a few small guidelines you need to follow.
-
-## Contributor License Agreement
-
-Contributions to this project must be accompanied by a Contributor License
-Agreement. You (or your employer) retain the copyright to your contribution;
-this simply gives us permission to use and redistribute your contributions as
-part of the project. Head over to <https://cla.developers.google.com/> to see
-your current agreements on file or to sign a new one.
-
-You generally only need to submit a CLA once, so if you've already submitted one
-(even if it was for a different project), you probably don't need to do it
-again.
-
-## Code reviews
-
-All submissions, including submissions by project members, require review. We
-use GitHub pull requests for this purpose. Consult
-[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
-information on using pull requests.
-
-## Community Guidelines
-
-This project follows [Google's Open Source Community
-Guidelines](https://opensource.google.com/conduct/).
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
deleted file mode 100644
index 464ed925..00000000
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-
----
-
-Thanks for stopping by to let us know something could be better!
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
-
-Please run down the following list and make sure you've tried the usual "quick fixes":
-
-  - Search the issues already opened: https://github.com/googleapis/python-speech/issues
-  - Search StackOverflow: https://stackoverflow.com/questions/tagged/google-cloud-platform+python
-
-If you are still having issues, please be sure to include as much information as possible:
-
-#### Environment details
-
-  - OS type and version:
-  - Python version: `python --version`
-  - pip version: `pip --version`
-  - `google-cloud-speech` version: `pip show google-cloud-speech`
-
-#### Steps to reproduce
-
-  1. ?
-  2. ?
-
-#### Code example
-
-```python
-# example
-```
-
-#### Stack trace
-```
-# example
-```
-
-Making sure to follow these steps will guarantee the quickest resolution possible.
-
-Thanks!
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
deleted file mode 100644
index 6365857f..00000000
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this library
-
----
-
-Thanks for stopping by to let us know something could be better!
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
-
- **Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
- **Describe the solution you'd like**
-A clear and concise description of what you want to happen.
- **Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
- **Additional context**
-Add any other context or screenshots about the feature request here.
diff --git a/.github/ISSUE_TEMPLATE/support_request.md b/.github/ISSUE_TEMPLATE/support_request.md
deleted file mode 100644
index 99586903..00000000
--- a/.github/ISSUE_TEMPLATE/support_request.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-name: Support request
-about: If you have a support contract with Google, please create an issue in the Google Cloud Support console.
-
----
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
deleted file mode 100644
index 74b4cadc..00000000
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ /dev/null
@@ -1,7 +0,0 @@
-Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:
-- [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-speech/issues/new/choose) before writing your code!  That way we can discuss the change, evaluate designs, and agree on the general idea
-- [ ] Ensure the tests and linter pass
-- [ ] Code coverage does not decrease (if any source code was changed)
-- [ ] Appropriate docs were updated (if necessary)
-
-Fixes #<issue_number_goes_here> 🦕
diff --git a/.github/auto-approve.yml b/.github/auto-approve.yml
deleted file mode 100644
index 311ebbb8..00000000
--- a/.github/auto-approve.yml
+++ /dev/null
@@ -1,3 +0,0 @@
-# https://github.com/googleapis/repo-automation-bots/tree/main/packages/auto-approve
-processes:
-  - "OwlBotTemplateChanges"
diff --git a/.github/auto-label.yaml b/.github/auto-label.yaml
deleted file mode 100644
index b2016d11..00000000
--- a/.github/auto-label.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-requestsize:
-  enabled: true
diff --git a/.github/header-checker-lint.yml b/.github/header-checker-lint.yml
deleted file mode 100644
index 6fe78aa7..00000000
--- a/.github/header-checker-lint.yml
+++ /dev/null
@@ -1,15 +0,0 @@
-{"allowedCopyrightHolders": ["Google LLC"],
- "allowedLicenses": ["Apache-2.0", "MIT", "BSD-3"],
- "ignoreFiles": ["**/requirements.txt", "**/requirements-test.txt", "**/__init__.py", "samples/**/constraints.txt", "samples/**/constraints-test.txt"],
- "sourceFileExtensions": [
- 	"ts", 
- 	"js", 
- 	"java", 
- 	"sh", 
- 	"Dockerfile", 
- 	"yaml", 
- 	"py",
- 	"html",
- 	"txt"
- ]
-}
\ No newline at end of file
diff --git a/.github/release-please.yml b/.github/release-please.yml
deleted file mode 100644
index fe749ff6..00000000
--- a/.github/release-please.yml
+++ /dev/null
@@ -1,12 +0,0 @@
-releaseType: python
-handleGHRelease: true
-manifest: true
-# NOTE: this section is generated by synthtool.languages.python
-# See https://github.com/googleapis/synthtool/blob/master/synthtool/languages/python.py
-branches:
-- branch: v1
-  handleGHRelease: true
-  releaseType: python
-- branch: v0
-  handleGHRelease: true
-  releaseType: python
diff --git a/.github/release-trigger.yml b/.github/release-trigger.yml
deleted file mode 100644
index d4ca9418..00000000
--- a/.github/release-trigger.yml
+++ /dev/null
@@ -1 +0,0 @@
-enabled: true
diff --git a/.github/snippet-bot.yml b/.github/snippet-bot.yml
deleted file mode 100644
index e69de29b..00000000
diff --git a/.github/sync-repo-settings.yaml b/.github/sync-repo-settings.yaml
deleted file mode 100644
index 37438d33..00000000
--- a/.github/sync-repo-settings.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
-# https://github.com/googleapis/repo-automation-bots/tree/main/packages/sync-repo-settings
-# Rules for main branch protection
-branchProtectionRules:
-# Identifies the protection rule pattern. Name of the branch to be protected.
-# Defaults to `main`
-- pattern: main
-  requiresCodeOwnerReviews: true
-  requiresStrictStatusChecks: true
-  requiredStatusCheckContexts:
-    - 'Kokoro'
-    - 'cla/google'
-    - 'Samples - Lint'
-    - 'Samples - Python 3.7'
-    - 'Samples - Python 3.8'
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
deleted file mode 100644
index e97d89e4..00000000
--- a/.github/workflows/docs.yml
+++ /dev/null
@@ -1,38 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-name: docs
-jobs:
-  docs:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v3
-    - name: Setup Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: "3.9"
-    - name: Install nox
-      run: |
-        python -m pip install --upgrade setuptools pip wheel
-        python -m pip install nox
-    - name: Run docs
-      run: |
-        nox -s docs
-  docfx:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v3
-    - name: Setup Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: "3.9"
-    - name: Install nox
-      run: |
-        python -m pip install --upgrade setuptools pip wheel
-        python -m pip install nox
-    - name: Run docfx
-      run: |
-        nox -s docfx
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
deleted file mode 100644
index 16d5a9e9..00000000
--- a/.github/workflows/lint.yml
+++ /dev/null
@@ -1,25 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-name: lint
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v3
-    - name: Setup Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: "3.8"
-    - name: Install nox
-      run: |
-        python -m pip install --upgrade setuptools pip wheel
-        python -m pip install nox
-    - name: Run lint
-      run: |
-        nox -s lint
-    - name: Run lint_setup_py
-      run: |
-        nox -s lint_setup_py
diff --git a/.github/workflows/unittest.yml b/.github/workflows/unittest.yml
deleted file mode 100644
index 8057a769..00000000
--- a/.github/workflows/unittest.yml
+++ /dev/null
@@ -1,57 +0,0 @@
-on:
-  pull_request:
-    branches:
-      - main
-name: unittest
-jobs:
-  unit:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python: ['3.7', '3.8', '3.9', '3.10', '3.11']
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v3
-    - name: Setup Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: ${{ matrix.python }}
-    - name: Install nox
-      run: |
-        python -m pip install --upgrade setuptools pip wheel
-        python -m pip install nox
-    - name: Run unit tests
-      env:
-        COVERAGE_FILE: .coverage-${{ matrix.python }}
-      run: |
-        nox -s unit-${{ matrix.python }}
-    - name: Upload coverage results
-      uses: actions/upload-artifact@v3
-      with:
-        name: coverage-artifacts
-        path: .coverage-${{ matrix.python }}
-
-  cover:
-    runs-on: ubuntu-latest
-    needs:
-        - unit
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v3
-    - name: Setup Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: "3.8"
-    - name: Install coverage
-      run: |
-        python -m pip install --upgrade setuptools pip wheel
-        python -m pip install coverage
-    - name: Download coverage results
-      uses: actions/download-artifact@v3
-      with:
-        name: coverage-artifacts
-        path: .coverage-results/
-    - name: Report coverage results
-      run: |
-        coverage combine .coverage-results/.coverage*
-        coverage report --show-missing --fail-under=100
diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index d083ea1d..00000000
--- a/.gitignore
+++ /dev/null
@@ -1,64 +0,0 @@
-*.py[cod]
-*.sw[op]
-
-# C extensions
-*.so
-
-# Packages
-*.egg
-*.egg-info
-dist
-build
-eggs
-.eggs
-parts
-bin
-var
-sdist
-develop-eggs
-.installed.cfg
-lib
-lib64
-__pycache__
-
-# Installer logs
-pip-log.txt
-
-# Unit test / coverage reports
-.coverage
-.nox
-.cache
-.pytest_cache
-
-
-# Mac
-.DS_Store
-
-# JetBrains
-.idea
-
-# VS Code
-.vscode
-
-# emacs
-*~
-
-# Built documentation
-docs/_build
-bigquery/docs/generated
-docs.metadata
-
-# Virtual environment
-env/
-venv/
-
-# Test logs
-coverage.xml
-*sponge_log.xml
-
-# System test environment variables.
-system_tests/local_test_setup
-
-# Make sure a generated file isn't accidentally committed.
-pylintrc
-pylintrc.test
diff --git a/.kokoro/build.sh b/.kokoro/build.sh
deleted file mode 100755
index 851852a1..00000000
--- a/.kokoro/build.sh
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-if [[ -z "${PROJECT_ROOT:-}" ]]; then
-    PROJECT_ROOT="github/python-speech"
-fi
-
-cd "${PROJECT_ROOT}"
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Debug: show build environment
-env | grep KOKORO
-
-# Setup service account credentials.
-export GOOGLE_APPLICATION_CREDENTIALS=${KOKORO_GFILE_DIR}/service-account.json
-
-# Setup project id.
-export PROJECT_ID=$(cat "${KOKORO_GFILE_DIR}/project-id.json")
-
-# Remove old nox
-python3 -m pip uninstall --yes --quiet nox-automation
-
-# Install nox
-python3 -m pip install --upgrade --quiet nox
-python3 -m nox --version
-
-# If this is a continuous build, send the test log to the FlakyBot.
-# See https://github.com/googleapis/repo-automation-bots/tree/main/packages/flakybot.
-if [[ $KOKORO_BUILD_ARTIFACTS_SUBDIR = *"continuous"* ]]; then
-  cleanup() {
-    chmod +x $KOKORO_GFILE_DIR/linux_amd64/flakybot
-    $KOKORO_GFILE_DIR/linux_amd64/flakybot
-  }
-  trap cleanup EXIT HUP
-fi
-
-# If NOX_SESSION is set, it only runs the specified session,
-# otherwise run all the sessions.
-if [[ -n "${NOX_SESSION:-}" ]]; then
-    python3 -m nox -s ${NOX_SESSION:-}
-else
-    python3 -m nox
-fi
diff --git a/.kokoro/continuous/common.cfg b/.kokoro/continuous/common.cfg
deleted file mode 100644
index f75e6ab4..00000000
--- a/.kokoro/continuous/common.cfg
+++ /dev/null
@@ -1,27 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Download resources for system tests (service account key, etc.)
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/google-cloud-python"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/build.sh"
-}
diff --git a/.kokoro/continuous/continuous.cfg b/.kokoro/continuous/continuous.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/continuous/continuous.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/continuous/prerelease-deps.cfg b/.kokoro/continuous/prerelease-deps.cfg
deleted file mode 100644
index 3595fb43..00000000
--- a/.kokoro/continuous/prerelease-deps.cfg
+++ /dev/null
@@ -1,7 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Only run this nox session.
-env_vars: {
-    key: "NOX_SESSION"
-    value: "prerelease_deps"
-}
diff --git a/.kokoro/docker/docs/Dockerfile b/.kokoro/docker/docs/Dockerfile
deleted file mode 100644
index 8e39a2cc..00000000
--- a/.kokoro/docker/docs/Dockerfile
+++ /dev/null
@@ -1,83 +0,0 @@
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from ubuntu:22.04
-
-ENV DEBIAN_FRONTEND noninteractive
-
-# Ensure local Python is preferred over distribution Python.
-ENV PATH /usr/local/bin:$PATH
-
-# Install dependencies.
-RUN apt-get update \
-  && apt-get install -y --no-install-recommends \
-    apt-transport-https \
-    build-essential \
-    ca-certificates \
-    curl \
-    dirmngr \
-    git \
-    gpg-agent \
-    graphviz \
-    libbz2-dev \
-    libdb5.3-dev \
-    libexpat1-dev \
-    libffi-dev \
-    liblzma-dev \
-    libreadline-dev \
-    libsnappy-dev \
-    libssl-dev \
-    libsqlite3-dev \
-    portaudio19-dev \
-    python3-distutils \
-    redis-server \
-    software-properties-common \
-    ssh \
-    sudo \
-    tcl \
-    tcl-dev \
-    tk \
-    tk-dev \
-    uuid-dev \
-    wget \
-    zlib1g-dev \
-  && add-apt-repository universe \
-  && apt-get update \
-  && apt-get -y install jq \
-  && apt-get clean autoclean \
-  && apt-get autoremove -y \
-  && rm -rf /var/lib/apt/lists/* \
-  && rm -f /var/cache/apt/archives/*.deb
-
-###################### Install python 3.9.13
-
-# Download python 3.9.13
-RUN wget https://www.python.org/ftp/python/3.9.13/Python-3.9.13.tgz
-
-# Extract files
-RUN tar -xvf Python-3.9.13.tgz
-
-# Install python 3.9.13
-RUN ./Python-3.9.13/configure --enable-optimizations
-RUN make altinstall
-
-###################### Install pip
-RUN wget -O /tmp/get-pip.py 'https://bootstrap.pypa.io/get-pip.py' \
-  && python3 /tmp/get-pip.py \
-  && rm /tmp/get-pip.py
-
-# Test pip
-RUN python3 -m pip
-
-CMD ["python3.8"]
diff --git a/.kokoro/docs/common.cfg b/.kokoro/docs/common.cfg
deleted file mode 100644
index e03c1aff..00000000
--- a/.kokoro/docs/common.cfg
+++ /dev/null
@@ -1,66 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-lib-docs"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/publish-docs.sh"
-}
-
-env_vars: {
-    key: "STAGING_BUCKET"
-    value: "docs-staging"
-}
-
-env_vars: {
-    key: "V2_STAGING_BUCKET"
-    # Push google cloud library docs to the Cloud RAD bucket `docs-staging-v2`
-    value: "docs-staging-v2"
-}
-
-# It will upload the docker image after successful builds.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE_UPLOAD"
-    value: "true"
-}
-
-# It will always build the docker image.
-env_vars: {
-    key: "TRAMPOLINE_DOCKERFILE"
-    value: ".kokoro/docker/docs/Dockerfile"
-}
-
-# Fetch the token needed for reporting release status to GitHub
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "yoshi-automation-github-key"
-    }
-  }
-}
-
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "docuploader_service_account"
-    }
-  }
-}
\ No newline at end of file
diff --git a/.kokoro/docs/docs-presubmit.cfg b/.kokoro/docs/docs-presubmit.cfg
deleted file mode 100644
index 509afae6..00000000
--- a/.kokoro/docs/docs-presubmit.cfg
+++ /dev/null
@@ -1,28 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "STAGING_BUCKET"
-    value: "gcloud-python-test"
-}
-
-env_vars: {
-    key: "V2_STAGING_BUCKET"
-    value: "gcloud-python-test"
-}
-
-# We only upload the image in the main `docs` build.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE_UPLOAD"
-    value: "false"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/build.sh"
-}
-
-# Only run this nox session.
-env_vars: {
-    key: "NOX_SESSION"
-    value: "docs docfx"
-}
diff --git a/.kokoro/docs/docs.cfg b/.kokoro/docs/docs.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/docs/docs.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/populate-secrets.sh b/.kokoro/populate-secrets.sh
deleted file mode 100755
index 6f397214..00000000
--- a/.kokoro/populate-secrets.sh
+++ /dev/null
@@ -1,43 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-function now { date +"%Y-%m-%d %H:%M:%S" | tr -d '\n' ;}
-function msg { println "$*" >&2 ;}
-function println { printf '%s\n' "$(now) $*" ;}
-
-
-# Populates requested secrets set in SECRET_MANAGER_KEYS from service account:
-# kokoro-trampoline@cloud-devrel-kokoro-resources.iam.gserviceaccount.com
-SECRET_LOCATION="${KOKORO_GFILE_DIR}/secret_manager"
-msg "Creating folder on disk for secrets: ${SECRET_LOCATION}"
-mkdir -p ${SECRET_LOCATION}
-for key in $(echo ${SECRET_MANAGER_KEYS} | sed "s/,/ /g")
-do
-  msg "Retrieving secret ${key}"
-  docker run --entrypoint=gcloud \
-    --volume=${KOKORO_GFILE_DIR}:${KOKORO_GFILE_DIR} \
-    gcr.io/google.com/cloudsdktool/cloud-sdk \
-    secrets versions access latest \
-    --project cloud-devrel-kokoro-resources \
-    --secret ${key} > \
-    "${SECRET_LOCATION}/${key}"
-  if [[ $? == 0 ]]; then
-    msg "Secret written to ${SECRET_LOCATION}/${key}"
-  else
-    msg "Error retrieving secret ${key}"
-  fi
-done
diff --git a/.kokoro/presubmit/common.cfg b/.kokoro/presubmit/common.cfg
deleted file mode 100644
index f75e6ab4..00000000
--- a/.kokoro/presubmit/common.cfg
+++ /dev/null
@@ -1,27 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Download resources for system tests (service account key, etc.)
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/google-cloud-python"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/build.sh"
-}
diff --git a/.kokoro/presubmit/prerelease-deps.cfg b/.kokoro/presubmit/prerelease-deps.cfg
deleted file mode 100644
index 3595fb43..00000000
--- a/.kokoro/presubmit/prerelease-deps.cfg
+++ /dev/null
@@ -1,7 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Only run this nox session.
-env_vars: {
-    key: "NOX_SESSION"
-    value: "prerelease_deps"
-}
diff --git a/.kokoro/presubmit/presubmit.cfg b/.kokoro/presubmit/presubmit.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/presubmit/presubmit.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/publish-docs.sh b/.kokoro/publish-docs.sh
deleted file mode 100755
index 9eafe0be..00000000
--- a/.kokoro/publish-docs.sh
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-export PATH="${HOME}/.local/bin:${PATH}"
-
-# Install nox
-python3 -m pip install --require-hashes -r .kokoro/requirements.txt
-python3 -m nox --version
-
-# build docs
-nox -s docs
-
-# create metadata
-python3 -m docuploader create-metadata \
-  --name=$(jq --raw-output '.name // empty' .repo-metadata.json) \
-  --version=$(python3 setup.py --version) \
-  --language=$(jq --raw-output '.language // empty' .repo-metadata.json) \
-  --distribution-name=$(python3 setup.py --name) \
-  --product-page=$(jq --raw-output '.product_documentation // empty' .repo-metadata.json) \
-  --github-repository=$(jq --raw-output '.repo // empty' .repo-metadata.json) \
-  --issue-tracker=$(jq --raw-output '.issue_tracker // empty' .repo-metadata.json)
-
-cat docs.metadata
-
-# upload docs
-python3 -m docuploader upload docs/_build/html --metadata-file docs.metadata --staging-bucket "${STAGING_BUCKET}"
-
-
-# docfx yaml files
-nox -s docfx
-
-# create metadata.
-python3 -m docuploader create-metadata \
-  --name=$(jq --raw-output '.name // empty' .repo-metadata.json) \
-  --version=$(python3 setup.py --version) \
-  --language=$(jq --raw-output '.language // empty' .repo-metadata.json) \
-  --distribution-name=$(python3 setup.py --name) \
-  --product-page=$(jq --raw-output '.product_documentation // empty' .repo-metadata.json) \
-  --github-repository=$(jq --raw-output '.repo // empty' .repo-metadata.json) \
-  --issue-tracker=$(jq --raw-output '.issue_tracker // empty' .repo-metadata.json)
-
-cat docs.metadata
-
-# upload docs
-python3 -m docuploader upload docs/_build/html/docfx_yaml --metadata-file docs.metadata --destination-prefix docfx --staging-bucket "${V2_STAGING_BUCKET}"
diff --git a/.kokoro/release.sh b/.kokoro/release.sh
deleted file mode 100755
index 67a1a5f6..00000000
--- a/.kokoro/release.sh
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-# Start the releasetool reporter
-python3 -m pip install --require-hashes -r github/python-speech/.kokoro/requirements.txt
-python3 -m releasetool publish-reporter-script > /tmp/publisher-script; source /tmp/publisher-script
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Move into the package, build the distribution and upload.
-TWINE_PASSWORD=$(cat "${KOKORO_KEYSTORE_DIR}/73713_google-cloud-pypi-token-keystore-1")
-cd github/python-speech
-python3 setup.py sdist bdist_wheel
-twine upload --username __token__ --password "${TWINE_PASSWORD}" dist/*
diff --git a/.kokoro/release/common.cfg b/.kokoro/release/common.cfg
deleted file mode 100644
index 8e5f2187..00000000
--- a/.kokoro/release/common.cfg
+++ /dev/null
@@ -1,49 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/release.sh"
-}
-
-# Fetch PyPI password
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "google-cloud-pypi-token-keystore-1"
-    }
-  }
-}
-
-# Tokens needed to report release status back to GitHub
-env_vars: {
-  key: "SECRET_MANAGER_KEYS"
-  value: "releasetool-publish-reporter-app,releasetool-publish-reporter-googleapis-installation,releasetool-publish-reporter-pem"
-}
-
-# Store the packages we uploaded to PyPI.  That way, we have a record of exactly
-# what we published, which we can use to generate SBOMs and attestations.
-action {
-  define_artifacts {
-    regex: "github/python-speech/**/*.tar.gz"
-    strip_prefix: "github/python-speech"
-  }
-}
diff --git a/.kokoro/release/release.cfg b/.kokoro/release/release.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/release/release.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/requirements.in b/.kokoro/requirements.in
deleted file mode 100644
index ec867d9f..00000000
--- a/.kokoro/requirements.in
+++ /dev/null
@@ -1,10 +0,0 @@
-gcp-docuploader
-gcp-releasetool>=1.10.5 # required for compatibility with cryptography>=39.x
-importlib-metadata
-typing-extensions
-twine
-wheel
-setuptools
-nox>=2022.11.21 # required to remove dependency on py
-charset-normalizer<3
-click<8.1.0
diff --git a/.kokoro/requirements.txt b/.kokoro/requirements.txt
deleted file mode 100644
index 16170d0c..00000000
--- a/.kokoro/requirements.txt
+++ /dev/null
@@ -1,497 +0,0 @@
-#
-# This file is autogenerated by pip-compile with Python 3.9
-# by the following command:
-#
-#    pip-compile --allow-unsafe --generate-hashes requirements.in
-#
-argcomplete==2.0.0 \
-    --hash=sha256:6372ad78c89d662035101418ae253668445b391755cfe94ea52f1b9d22425b20 \
-    --hash=sha256:cffa11ea77999bb0dd27bb25ff6dc142a6796142f68d45b1a26b11f58724561e
-    # via nox
-attrs==22.1.0 \
-    --hash=sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6 \
-    --hash=sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c
-    # via gcp-releasetool
-bleach==5.0.1 \
-    --hash=sha256:085f7f33c15bd408dd9b17a4ad77c577db66d76203e5984b1bd59baeee948b2a \
-    --hash=sha256:0d03255c47eb9bd2f26aa9bb7f2107732e7e8fe195ca2f64709fcf3b0a4a085c
-    # via readme-renderer
-cachetools==5.2.0 \
-    --hash=sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757 \
-    --hash=sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db
-    # via google-auth
-certifi==2023.7.22 \
-    --hash=sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082 \
-    --hash=sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9
-    # via requests
-cffi==1.15.1 \
-    --hash=sha256:00a9ed42e88df81ffae7a8ab6d9356b371399b91dbdf0c3cb1e84c03a13aceb5 \
-    --hash=sha256:03425bdae262c76aad70202debd780501fabeaca237cdfddc008987c0e0f59ef \
-    --hash=sha256:04ed324bda3cda42b9b695d51bb7d54b680b9719cfab04227cdd1e04e5de3104 \
-    --hash=sha256:0e2642fe3142e4cc4af0799748233ad6da94c62a8bec3a6648bf8ee68b1c7426 \
-    --hash=sha256:173379135477dc8cac4bc58f45db08ab45d228b3363adb7af79436135d028405 \
-    --hash=sha256:198caafb44239b60e252492445da556afafc7d1e3ab7a1fb3f0584ef6d742375 \
-    --hash=sha256:1e74c6b51a9ed6589199c787bf5f9875612ca4a8a0785fb2d4a84429badaf22a \
-    --hash=sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e \
-    --hash=sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc \
-    --hash=sha256:2470043b93ff09bf8fb1d46d1cb756ce6132c54826661a32d4e4d132e1977adf \
-    --hash=sha256:285d29981935eb726a4399badae8f0ffdff4f5050eaa6d0cfc3f64b857b77185 \
-    --hash=sha256:30d78fbc8ebf9c92c9b7823ee18eb92f2e6ef79b45ac84db507f52fbe3ec4497 \
-    --hash=sha256:320dab6e7cb2eacdf0e658569d2575c4dad258c0fcc794f46215e1e39f90f2c3 \
-    --hash=sha256:33ab79603146aace82c2427da5ca6e58f2b3f2fb5da893ceac0c42218a40be35 \
-    --hash=sha256:3548db281cd7d2561c9ad9984681c95f7b0e38881201e157833a2342c30d5e8c \
-    --hash=sha256:3799aecf2e17cf585d977b780ce79ff0dc9b78d799fc694221ce814c2c19db83 \
-    --hash=sha256:39d39875251ca8f612b6f33e6b1195af86d1b3e60086068be9cc053aa4376e21 \
-    --hash=sha256:3b926aa83d1edb5aa5b427b4053dc420ec295a08e40911296b9eb1b6170f6cca \
-    --hash=sha256:3bcde07039e586f91b45c88f8583ea7cf7a0770df3a1649627bf598332cb6984 \
-    --hash=sha256:3d08afd128ddaa624a48cf2b859afef385b720bb4b43df214f85616922e6a5ac \
-    --hash=sha256:3eb6971dcff08619f8d91607cfc726518b6fa2a9eba42856be181c6d0d9515fd \
-    --hash=sha256:40f4774f5a9d4f5e344f31a32b5096977b5d48560c5592e2f3d2c4374bd543ee \
-    --hash=sha256:4289fc34b2f5316fbb762d75362931e351941fa95fa18789191b33fc4cf9504a \
-    --hash=sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2 \
-    --hash=sha256:4f2c9f67e9821cad2e5f480bc8d83b8742896f1242dba247911072d4fa94c192 \
-    --hash=sha256:50a74364d85fd319352182ef59c5c790484a336f6db772c1a9231f1c3ed0cbd7 \
-    --hash=sha256:54a2db7b78338edd780e7ef7f9f6c442500fb0d41a5a4ea24fff1c929d5af585 \
-    --hash=sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f \
-    --hash=sha256:59c0b02d0a6c384d453fece7566d1c7e6b7bae4fc5874ef2ef46d56776d61c9e \
-    --hash=sha256:5d598b938678ebf3c67377cdd45e09d431369c3b1a5b331058c338e201f12b27 \
-    --hash=sha256:5df2768244d19ab7f60546d0c7c63ce1581f7af8b5de3eb3004b9b6fc8a9f84b \
-    --hash=sha256:5ef34d190326c3b1f822a5b7a45f6c4535e2f47ed06fec77d3d799c450b2651e \
-    --hash=sha256:6975a3fac6bc83c4a65c9f9fcab9e47019a11d3d2cf7f3c0d03431bf145a941e \
-    --hash=sha256:6c9a799e985904922a4d207a94eae35c78ebae90e128f0c4e521ce339396be9d \
-    --hash=sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c \
-    --hash=sha256:7473e861101c9e72452f9bf8acb984947aa1661a7704553a9f6e4baa5ba64415 \
-    --hash=sha256:8102eaf27e1e448db915d08afa8b41d6c7ca7a04b7d73af6514df10a3e74bd82 \
-    --hash=sha256:87c450779d0914f2861b8526e035c5e6da0a3199d8f1add1a665e1cbc6fc6d02 \
-    --hash=sha256:8b7ee99e510d7b66cdb6c593f21c043c248537a32e0bedf02e01e9553a172314 \
-    --hash=sha256:91fc98adde3d7881af9b59ed0294046f3806221863722ba7d8d120c575314325 \
-    --hash=sha256:94411f22c3985acaec6f83c6df553f2dbe17b698cc7f8ae751ff2237d96b9e3c \
-    --hash=sha256:98d85c6a2bef81588d9227dde12db8a7f47f639f4a17c9ae08e773aa9c697bf3 \
-    --hash=sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914 \
-    --hash=sha256:a0b71b1b8fbf2b96e41c4d990244165e2c9be83d54962a9a1d118fd8657d2045 \
-    --hash=sha256:a0f100c8912c114ff53e1202d0078b425bee3649ae34d7b070e9697f93c5d52d \
-    --hash=sha256:a591fe9e525846e4d154205572a029f653ada1a78b93697f3b5a8f1f2bc055b9 \
-    --hash=sha256:a5c84c68147988265e60416b57fc83425a78058853509c1b0629c180094904a5 \
-    --hash=sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2 \
-    --hash=sha256:a8c4917bd7ad33e8eb21e9a5bbba979b49d9a97acb3a803092cbc1133e20343c \
-    --hash=sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3 \
-    --hash=sha256:cba9d6b9a7d64d4bd46167096fc9d2f835e25d7e4c121fb2ddfc6528fb0413b2 \
-    --hash=sha256:cc4d65aeeaa04136a12677d3dd0b1c0c94dc43abac5860ab33cceb42b801c1e8 \
-    --hash=sha256:ce4bcc037df4fc5e3d184794f27bdaab018943698f4ca31630bc7f84a7b69c6d \
-    --hash=sha256:cec7d9412a9102bdc577382c3929b337320c4c4c4849f2c5cdd14d7368c5562d \
-    --hash=sha256:d400bfb9a37b1351253cb402671cea7e89bdecc294e8016a707f6d1d8ac934f9 \
-    --hash=sha256:d61f4695e6c866a23a21acab0509af1cdfd2c013cf256bbf5b6b5e2695827162 \
-    --hash=sha256:db0fbb9c62743ce59a9ff687eb5f4afbe77e5e8403d6697f7446e5f609976f76 \
-    --hash=sha256:dd86c085fae2efd48ac91dd7ccffcfc0571387fe1193d33b6394db7ef31fe2a4 \
-    --hash=sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e \
-    --hash=sha256:e229a521186c75c8ad9490854fd8bbdd9a0c9aa3a524326b55be83b54d4e0ad9 \
-    --hash=sha256:e263d77ee3dd201c3a142934a086a4450861778baaeeb45db4591ef65550b0a6 \
-    --hash=sha256:ed9cb427ba5504c1dc15ede7d516b84757c3e3d7868ccc85121d9310d27eed0b \
-    --hash=sha256:fa6693661a4c91757f4412306191b6dc88c1703f780c8234035eac011922bc01 \
-    --hash=sha256:fcd131dd944808b5bdb38e6f5b53013c5aa4f334c5cad0c72742f6eba4b73db0
-    # via cryptography
-charset-normalizer==2.1.1 \
-    --hash=sha256:5a3d016c7c547f69d6f81fb0db9449ce888b418b5b9952cc5e6e66843e9dd845 \
-    --hash=sha256:83e9a75d1911279afd89352c68b45348559d1fc0506b054b346651b5e7fee29f
-    # via
-    #   -r requirements.in
-    #   requests
-click==8.0.4 \
-    --hash=sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1 \
-    --hash=sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb
-    # via
-    #   -r requirements.in
-    #   gcp-docuploader
-    #   gcp-releasetool
-colorlog==6.7.0 \
-    --hash=sha256:0d33ca236784a1ba3ff9c532d4964126d8a2c44f1f0cb1d2b0728196f512f662 \
-    --hash=sha256:bd94bd21c1e13fac7bd3153f4bc3a7dc0eb0974b8bc2fdf1a989e474f6e582e5
-    # via
-    #   gcp-docuploader
-    #   nox
-commonmark==0.9.1 \
-    --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
-    --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
-    # via rich
-cryptography==41.0.4 \
-    --hash=sha256:004b6ccc95943f6a9ad3142cfabcc769d7ee38a3f60fb0dddbfb431f818c3a67 \
-    --hash=sha256:047c4603aeb4bbd8db2756e38f5b8bd7e94318c047cfe4efeb5d715e08b49311 \
-    --hash=sha256:0d9409894f495d465fe6fda92cb70e8323e9648af912d5b9141d616df40a87b8 \
-    --hash=sha256:23a25c09dfd0d9f28da2352503b23e086f8e78096b9fd585d1d14eca01613e13 \
-    --hash=sha256:2ed09183922d66c4ec5fdaa59b4d14e105c084dd0febd27452de8f6f74704143 \
-    --hash=sha256:35c00f637cd0b9d5b6c6bd11b6c3359194a8eba9c46d4e875a3660e3b400005f \
-    --hash=sha256:37480760ae08065437e6573d14be973112c9e6dcaf5f11d00147ee74f37a3829 \
-    --hash=sha256:3b224890962a2d7b57cf5eeb16ccaafba6083f7b811829f00476309bce2fe0fd \
-    --hash=sha256:5a0f09cefded00e648a127048119f77bc2b2ec61e736660b5789e638f43cc397 \
-    --hash=sha256:5b72205a360f3b6176485a333256b9bcd48700fc755fef51c8e7e67c4b63e3ac \
-    --hash=sha256:7e53db173370dea832190870e975a1e09c86a879b613948f09eb49324218c14d \
-    --hash=sha256:7febc3094125fc126a7f6fb1f420d0da639f3f32cb15c8ff0dc3997c4549f51a \
-    --hash=sha256:80907d3faa55dc5434a16579952ac6da800935cd98d14dbd62f6f042c7f5e839 \
-    --hash=sha256:86defa8d248c3fa029da68ce61fe735432b047e32179883bdb1e79ed9bb8195e \
-    --hash=sha256:8ac4f9ead4bbd0bc8ab2d318f97d85147167a488be0e08814a37eb2f439d5cf6 \
-    --hash=sha256:93530900d14c37a46ce3d6c9e6fd35dbe5f5601bf6b3a5c325c7bffc030344d9 \
-    --hash=sha256:9eeb77214afae972a00dee47382d2591abe77bdae166bda672fb1e24702a3860 \
-    --hash=sha256:b5f4dfe950ff0479f1f00eda09c18798d4f49b98f4e2006d644b3301682ebdca \
-    --hash=sha256:c3391bd8e6de35f6f1140e50aaeb3e2b3d6a9012536ca23ab0d9c35ec18c8a91 \
-    --hash=sha256:c880eba5175f4307129784eca96f4e70b88e57aa3f680aeba3bab0e980b0f37d \
-    --hash=sha256:cecfefa17042941f94ab54f769c8ce0fe14beff2694e9ac684176a2535bf9714 \
-    --hash=sha256:e40211b4923ba5a6dc9769eab704bdb3fbb58d56c5b336d30996c24fcf12aadb \
-    --hash=sha256:efc8ad4e6fc4f1752ebfb58aefece8b4e3c4cae940b0994d43649bdfce8d0d4f
-    # via
-    #   gcp-releasetool
-    #   secretstorage
-distlib==0.3.6 \
-    --hash=sha256:14bad2d9b04d3a36127ac97f30b12a19268f211063d8f8ee4f47108896e11b46 \
-    --hash=sha256:f35c4b692542ca110de7ef0bea44d73981caeb34ca0b9b6b2e6d7790dda8f80e
-    # via virtualenv
-docutils==0.19 \
-    --hash=sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6 \
-    --hash=sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc
-    # via readme-renderer
-filelock==3.8.0 \
-    --hash=sha256:55447caa666f2198c5b6b13a26d2084d26fa5b115c00d065664b2124680c4edc \
-    --hash=sha256:617eb4e5eedc82fc5f47b6d61e4d11cb837c56cb4544e39081099fa17ad109d4
-    # via virtualenv
-gcp-docuploader==0.6.4 \
-    --hash=sha256:01486419e24633af78fd0167db74a2763974765ee8078ca6eb6964d0ebd388af \
-    --hash=sha256:70861190c123d907b3b067da896265ead2eeb9263969d6955c9e0bb091b5ccbf
-    # via -r requirements.in
-gcp-releasetool==1.10.5 \
-    --hash=sha256:174b7b102d704b254f2a26a3eda2c684fd3543320ec239baf771542a2e58e109 \
-    --hash=sha256:e29d29927fe2ca493105a82958c6873bb2b90d503acac56be2c229e74de0eec9
-    # via -r requirements.in
-google-api-core==2.10.2 \
-    --hash=sha256:10c06f7739fe57781f87523375e8e1a3a4674bf6392cd6131a3222182b971320 \
-    --hash=sha256:34f24bd1d5f72a8c4519773d99ca6bf080a6c4e041b4e9f024fe230191dda62e
-    # via
-    #   google-cloud-core
-    #   google-cloud-storage
-google-auth==2.14.1 \
-    --hash=sha256:ccaa901f31ad5cbb562615eb8b664b3dd0bf5404a67618e642307f00613eda4d \
-    --hash=sha256:f5d8701633bebc12e0deea4df8abd8aff31c28b355360597f7f2ee60f2e4d016
-    # via
-    #   gcp-releasetool
-    #   google-api-core
-    #   google-cloud-core
-    #   google-cloud-storage
-google-cloud-core==2.3.2 \
-    --hash=sha256:8417acf6466be2fa85123441696c4badda48db314c607cf1e5d543fa8bdc22fe \
-    --hash=sha256:b9529ee7047fd8d4bf4a2182de619154240df17fbe60ead399078c1ae152af9a
-    # via google-cloud-storage
-google-cloud-storage==2.6.0 \
-    --hash=sha256:104ca28ae61243b637f2f01455cc8a05e8f15a2a18ced96cb587241cdd3820f5 \
-    --hash=sha256:4ad0415ff61abdd8bb2ae81c1f8f7ec7d91a1011613f2db87c614c550f97bfe9
-    # via gcp-docuploader
-google-crc32c==1.5.0 \
-    --hash=sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a \
-    --hash=sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876 \
-    --hash=sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c \
-    --hash=sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289 \
-    --hash=sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298 \
-    --hash=sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02 \
-    --hash=sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f \
-    --hash=sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2 \
-    --hash=sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a \
-    --hash=sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb \
-    --hash=sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210 \
-    --hash=sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5 \
-    --hash=sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee \
-    --hash=sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c \
-    --hash=sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a \
-    --hash=sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314 \
-    --hash=sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd \
-    --hash=sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65 \
-    --hash=sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37 \
-    --hash=sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4 \
-    --hash=sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13 \
-    --hash=sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894 \
-    --hash=sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31 \
-    --hash=sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e \
-    --hash=sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709 \
-    --hash=sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740 \
-    --hash=sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc \
-    --hash=sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d \
-    --hash=sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c \
-    --hash=sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c \
-    --hash=sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d \
-    --hash=sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906 \
-    --hash=sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61 \
-    --hash=sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57 \
-    --hash=sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c \
-    --hash=sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a \
-    --hash=sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438 \
-    --hash=sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946 \
-    --hash=sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7 \
-    --hash=sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96 \
-    --hash=sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091 \
-    --hash=sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae \
-    --hash=sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d \
-    --hash=sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88 \
-    --hash=sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2 \
-    --hash=sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd \
-    --hash=sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541 \
-    --hash=sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728 \
-    --hash=sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178 \
-    --hash=sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968 \
-    --hash=sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346 \
-    --hash=sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8 \
-    --hash=sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93 \
-    --hash=sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7 \
-    --hash=sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273 \
-    --hash=sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462 \
-    --hash=sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94 \
-    --hash=sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd \
-    --hash=sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e \
-    --hash=sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57 \
-    --hash=sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b \
-    --hash=sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9 \
-    --hash=sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a \
-    --hash=sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100 \
-    --hash=sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325 \
-    --hash=sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183 \
-    --hash=sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556 \
-    --hash=sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4
-    # via google-resumable-media
-google-resumable-media==2.4.0 \
-    --hash=sha256:2aa004c16d295c8f6c33b2b4788ba59d366677c0a25ae7382436cb30f776deaa \
-    --hash=sha256:8d5518502f92b9ecc84ac46779bd4f09694ecb3ba38a3e7ca737a86d15cbca1f
-    # via google-cloud-storage
-googleapis-common-protos==1.57.0 \
-    --hash=sha256:27a849d6205838fb6cc3c1c21cb9800707a661bb21c6ce7fb13e99eb1f8a0c46 \
-    --hash=sha256:a9f4a1d7f6d9809657b7f1316a1aa527f6664891531bcfcc13b6696e685f443c
-    # via google-api-core
-idna==3.4 \
-    --hash=sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4 \
-    --hash=sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2
-    # via requests
-importlib-metadata==5.0.0 \
-    --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
-    --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
-    # via
-    #   -r requirements.in
-    #   keyring
-    #   twine
-jaraco-classes==3.2.3 \
-    --hash=sha256:2353de3288bc6b82120752201c6b1c1a14b058267fa424ed5ce5984e3b922158 \
-    --hash=sha256:89559fa5c1d3c34eff6f631ad80bb21f378dbcbb35dd161fd2c6b93f5be2f98a
-    # via keyring
-jeepney==0.8.0 \
-    --hash=sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806 \
-    --hash=sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755
-    # via
-    #   keyring
-    #   secretstorage
-jinja2==3.1.2 \
-    --hash=sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852 \
-    --hash=sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61
-    # via gcp-releasetool
-keyring==23.11.0 \
-    --hash=sha256:3dd30011d555f1345dec2c262f0153f2f0ca6bca041fb1dc4588349bb4c0ac1e \
-    --hash=sha256:ad192263e2cdd5f12875dedc2da13534359a7e760e77f8d04b50968a821c2361
-    # via
-    #   gcp-releasetool
-    #   twine
-markupsafe==2.1.1 \
-    --hash=sha256:0212a68688482dc52b2d45013df70d169f542b7394fc744c02a57374a4207003 \
-    --hash=sha256:089cf3dbf0cd6c100f02945abeb18484bd1ee57a079aefd52cffd17fba910b88 \
-    --hash=sha256:10c1bfff05d95783da83491be968e8fe789263689c02724e0c691933c52994f5 \
-    --hash=sha256:33b74d289bd2f5e527beadcaa3f401e0df0a89927c1559c8566c066fa4248ab7 \
-    --hash=sha256:3799351e2336dc91ea70b034983ee71cf2f9533cdff7c14c90ea126bfd95d65a \
-    --hash=sha256:3ce11ee3f23f79dbd06fb3d63e2f6af7b12db1d46932fe7bd8afa259a5996603 \
-    --hash=sha256:421be9fbf0ffe9ffd7a378aafebbf6f4602d564d34be190fc19a193232fd12b1 \
-    --hash=sha256:43093fb83d8343aac0b1baa75516da6092f58f41200907ef92448ecab8825135 \
-    --hash=sha256:46d00d6cfecdde84d40e572d63735ef81423ad31184100411e6e3388d405e247 \
-    --hash=sha256:4a33dea2b688b3190ee12bd7cfa29d39c9ed176bda40bfa11099a3ce5d3a7ac6 \
-    --hash=sha256:4b9fe39a2ccc108a4accc2676e77da025ce383c108593d65cc909add5c3bd601 \
-    --hash=sha256:56442863ed2b06d19c37f94d999035e15ee982988920e12a5b4ba29b62ad1f77 \
-    --hash=sha256:671cd1187ed5e62818414afe79ed29da836dde67166a9fac6d435873c44fdd02 \
-    --hash=sha256:694deca8d702d5db21ec83983ce0bb4b26a578e71fbdbd4fdcd387daa90e4d5e \
-    --hash=sha256:6a074d34ee7a5ce3effbc526b7083ec9731bb3cbf921bbe1d3005d4d2bdb3a63 \
-    --hash=sha256:6d0072fea50feec76a4c418096652f2c3238eaa014b2f94aeb1d56a66b41403f \
-    --hash=sha256:6fbf47b5d3728c6aea2abb0589b5d30459e369baa772e0f37a0320185e87c980 \
-    --hash=sha256:7f91197cc9e48f989d12e4e6fbc46495c446636dfc81b9ccf50bb0ec74b91d4b \
-    --hash=sha256:86b1f75c4e7c2ac2ccdaec2b9022845dbb81880ca318bb7a0a01fbf7813e3812 \
-    --hash=sha256:8dc1c72a69aa7e082593c4a203dcf94ddb74bb5c8a731e4e1eb68d031e8498ff \
-    --hash=sha256:8e3dcf21f367459434c18e71b2a9532d96547aef8a871872a5bd69a715c15f96 \
-    --hash=sha256:8e576a51ad59e4bfaac456023a78f6b5e6e7651dcd383bcc3e18d06f9b55d6d1 \
-    --hash=sha256:96e37a3dc86e80bf81758c152fe66dbf60ed5eca3d26305edf01892257049925 \
-    --hash=sha256:97a68e6ada378df82bc9f16b800ab77cbf4b2fada0081794318520138c088e4a \
-    --hash=sha256:99a2a507ed3ac881b975a2976d59f38c19386d128e7a9a18b7df6fff1fd4c1d6 \
-    --hash=sha256:a49907dd8420c5685cfa064a1335b6754b74541bbb3706c259c02ed65b644b3e \
-    --hash=sha256:b09bf97215625a311f669476f44b8b318b075847b49316d3e28c08e41a7a573f \
-    --hash=sha256:b7bd98b796e2b6553da7225aeb61f447f80a1ca64f41d83612e6139ca5213aa4 \
-    --hash=sha256:b87db4360013327109564f0e591bd2a3b318547bcef31b468a92ee504d07ae4f \
-    --hash=sha256:bcb3ed405ed3222f9904899563d6fc492ff75cce56cba05e32eff40e6acbeaa3 \
-    --hash=sha256:d4306c36ca495956b6d568d276ac11fdd9c30a36f1b6eb928070dc5360b22e1c \
-    --hash=sha256:d5ee4f386140395a2c818d149221149c54849dfcfcb9f1debfe07a8b8bd63f9a \
-    --hash=sha256:dda30ba7e87fbbb7eab1ec9f58678558fd9a6b8b853530e176eabd064da81417 \
-    --hash=sha256:e04e26803c9c3851c931eac40c695602c6295b8d432cbe78609649ad9bd2da8a \
-    --hash=sha256:e1c0b87e09fa55a220f058d1d49d3fb8df88fbfab58558f1198e08c1e1de842a \
-    --hash=sha256:e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37 \
-    --hash=sha256:e8c843bbcda3a2f1e3c2ab25913c80a3c5376cd00c6e8c4a86a89a28c8dc5452 \
-    --hash=sha256:efc1913fd2ca4f334418481c7e595c00aad186563bbc1ec76067848c7ca0a933 \
-    --hash=sha256:f121a1420d4e173a5d96e47e9a0c0dcff965afdf1626d28de1460815f7c4ee7a \
-    --hash=sha256:fc7b548b17d238737688817ab67deebb30e8073c95749d55538ed473130ec0c7
-    # via jinja2
-more-itertools==9.0.0 \
-    --hash=sha256:250e83d7e81d0c87ca6bd942e6aeab8cc9daa6096d12c5308f3f92fa5e5c1f41 \
-    --hash=sha256:5a6257e40878ef0520b1803990e3e22303a41b5714006c32a3fd8304b26ea1ab
-    # via jaraco-classes
-nox==2022.11.21 \
-    --hash=sha256:0e41a990e290e274cb205a976c4c97ee3c5234441a8132c8c3fd9ea3c22149eb \
-    --hash=sha256:e21c31de0711d1274ca585a2c5fde36b1aa962005ba8e9322bf5eeed16dcd684
-    # via -r requirements.in
-packaging==21.3 \
-    --hash=sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb \
-    --hash=sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522
-    # via
-    #   gcp-releasetool
-    #   nox
-pkginfo==1.8.3 \
-    --hash=sha256:848865108ec99d4901b2f7e84058b6e7660aae8ae10164e015a6dcf5b242a594 \
-    --hash=sha256:a84da4318dd86f870a9447a8c98340aa06216bfc6f2b7bdc4b8766984ae1867c
-    # via twine
-platformdirs==2.5.4 \
-    --hash=sha256:1006647646d80f16130f052404c6b901e80ee4ed6bef6792e1f238a8969106f7 \
-    --hash=sha256:af0276409f9a02373d540bf8480021a048711d572745aef4b7842dad245eba10
-    # via virtualenv
-protobuf==3.20.3 \
-    --hash=sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7 \
-    --hash=sha256:28545383d61f55b57cf4df63eebd9827754fd2dc25f80c5253f9184235db242c \
-    --hash=sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2 \
-    --hash=sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b \
-    --hash=sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050 \
-    --hash=sha256:447d43819997825d4e71bf5769d869b968ce96848b6479397e29fc24c4a5dfe9 \
-    --hash=sha256:67a3598f0a2dcbc58d02dd1928544e7d88f764b47d4a286202913f0b2801c2e7 \
-    --hash=sha256:74480f79a023f90dc6e18febbf7b8bac7508420f2006fabd512013c0c238f454 \
-    --hash=sha256:819559cafa1a373b7096a482b504ae8a857c89593cf3a25af743ac9ecbd23480 \
-    --hash=sha256:899dc660cd599d7352d6f10d83c95df430a38b410c1b66b407a6b29265d66469 \
-    --hash=sha256:8c0c984a1b8fef4086329ff8dd19ac77576b384079247c770f29cc8ce3afa06c \
-    --hash=sha256:9aae4406ea63d825636cc11ffb34ad3379335803216ee3a856787bcf5ccc751e \
-    --hash=sha256:a7ca6d488aa8ff7f329d4c545b2dbad8ac31464f1d8b1c87ad1346717731e4db \
-    --hash=sha256:b6cc7ba72a8850621bfec987cb72623e703b7fe2b9127a161ce61e61558ad905 \
-    --hash=sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b \
-    --hash=sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86 \
-    --hash=sha256:d9e4432ff660d67d775c66ac42a67cf2453c27cb4d738fc22cb53b5d84c135d4 \
-    --hash=sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402 \
-    --hash=sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7 \
-    --hash=sha256:e64857f395505ebf3d2569935506ae0dfc4a15cb80dc25261176c784662cdcc4 \
-    --hash=sha256:f4bd856d702e5b0d96a00ec6b307b0f51c1982c2bf9c0052cf9019e9a544ba99 \
-    --hash=sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee
-    # via
-    #   gcp-docuploader
-    #   gcp-releasetool
-    #   google-api-core
-    #   googleapis-common-protos
-pyasn1==0.4.8 \
-    --hash=sha256:39c7e2ec30515947ff4e87fb6f456dfc6e84857d34be479c9d4a4ba4bf46aa5d \
-    --hash=sha256:aef77c9fb94a3ac588e87841208bdec464471d9871bd5050a287cc9a475cd0ba
-    # via
-    #   pyasn1-modules
-    #   rsa
-pyasn1-modules==0.2.8 \
-    --hash=sha256:905f84c712230b2c592c19470d3ca8d552de726050d1d1716282a1f6146be65e \
-    --hash=sha256:a50b808ffeb97cb3601dd25981f6b016cbb3d31fbf57a8b8a87428e6158d0c74
-    # via google-auth
-pycparser==2.21 \
-    --hash=sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9 \
-    --hash=sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206
-    # via cffi
-pygments==2.15.0 \
-    --hash=sha256:77a3299119af881904cd5ecd1ac6a66214b6e9bed1f2db16993b54adede64094 \
-    --hash=sha256:f7e36cffc4c517fbc252861b9a6e4644ca0e5abadf9a113c72d1358ad09b9500
-    # via
-    #   readme-renderer
-    #   rich
-pyjwt==2.6.0 \
-    --hash=sha256:69285c7e31fc44f68a1feb309e948e0df53259d579295e6cfe2b1792329f05fd \
-    --hash=sha256:d83c3d892a77bbb74d3e1a2cfa90afaadb60945205d1095d9221f04466f64c14
-    # via gcp-releasetool
-pyparsing==3.0.9 \
-    --hash=sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb \
-    --hash=sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc
-    # via packaging
-pyperclip==1.8.2 \
-    --hash=sha256:105254a8b04934f0bc84e9c24eb360a591aaf6535c9def5f29d92af107a9bf57
-    # via gcp-releasetool
-python-dateutil==2.8.2 \
-    --hash=sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86 \
-    --hash=sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9
-    # via gcp-releasetool
-readme-renderer==37.3 \
-    --hash=sha256:cd653186dfc73055656f090f227f5cb22a046d7f71a841dfa305f55c9a513273 \
-    --hash=sha256:f67a16caedfa71eef48a31b39708637a6f4664c4394801a7b0d6432d13907343
-    # via twine
-requests==2.31.0 \
-    --hash=sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f \
-    --hash=sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1
-    # via
-    #   gcp-releasetool
-    #   google-api-core
-    #   google-cloud-storage
-    #   requests-toolbelt
-    #   twine
-requests-toolbelt==0.10.1 \
-    --hash=sha256:18565aa58116d9951ac39baa288d3adb5b3ff975c4f25eee78555d89e8f247f7 \
-    --hash=sha256:62e09f7ff5ccbda92772a29f394a49c3ad6cb181d568b1337626b2abb628a63d
-    # via twine
-rfc3986==2.0.0 \
-    --hash=sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd \
-    --hash=sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c
-    # via twine
-rich==12.6.0 \
-    --hash=sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e \
-    --hash=sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0
-    # via twine
-rsa==4.9 \
-    --hash=sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7 \
-    --hash=sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21
-    # via google-auth
-secretstorage==3.3.3 \
-    --hash=sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77 \
-    --hash=sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99
-    # via keyring
-six==1.16.0 \
-    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
-    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
-    # via
-    #   bleach
-    #   gcp-docuploader
-    #   google-auth
-    #   python-dateutil
-twine==4.0.1 \
-    --hash=sha256:42026c18e394eac3e06693ee52010baa5313e4811d5a11050e7d48436cf41b9e \
-    --hash=sha256:96b1cf12f7ae611a4a40b6ae8e9570215daff0611828f5fe1f37a16255ab24a0
-    # via -r requirements.in
-typing-extensions==4.4.0 \
-    --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
-    --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
-    # via -r requirements.in
-urllib3==1.26.18 \
-    --hash=sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07 \
-    --hash=sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0
-    # via
-    #   requests
-    #   twine
-virtualenv==20.16.7 \
-    --hash=sha256:8691e3ff9387f743e00f6bb20f70121f5e4f596cae754531f2b3b3a1b1ac696e \
-    --hash=sha256:efd66b00386fdb7dbe4822d172303f40cd05e50e01740b19ea42425cbe653e29
-    # via nox
-webencodings==0.5.1 \
-    --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \
-    --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923
-    # via bleach
-wheel==0.38.4 \
-    --hash=sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac \
-    --hash=sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8
-    # via -r requirements.in
-zipp==3.10.0 \
-    --hash=sha256:4fcb6f278987a6605757302a6e40e896257570d11c51628968ccb2a47e80c6c1 \
-    --hash=sha256:7a7262fd930bd3e36c50b9a64897aec3fafff3dfdeec9623ae22b40e93f99bb8
-    # via importlib-metadata
-
-# The following packages are considered to be unsafe in a requirements file:
-setuptools==65.5.1 \
-    --hash=sha256:d0b9a8433464d5800cbe05094acf5c6d52a91bfac9b52bcfc4d41382be5d5d31 \
-    --hash=sha256:e197a19aa8ec9722928f2206f8de752def0e4c9fc6953527360d1c36d94ddb2f
-    # via -r requirements.in
diff --git a/.kokoro/samples/lint/common.cfg b/.kokoro/samples/lint/common.cfg
deleted file mode 100644
index 751fd177..00000000
--- a/.kokoro/samples/lint/common.cfg
+++ /dev/null
@@ -1,34 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "lint"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/lint/continuous.cfg b/.kokoro/samples/lint/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/lint/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/lint/periodic.cfg b/.kokoro/samples/lint/periodic.cfg
deleted file mode 100644
index 50fec964..00000000
--- a/.kokoro/samples/lint/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/lint/presubmit.cfg b/.kokoro/samples/lint/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/lint/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.10/common.cfg b/.kokoro/samples/python3.10/common.cfg
deleted file mode 100644
index 44c692bd..00000000
--- a/.kokoro/samples/python3.10/common.cfg
+++ /dev/null
@@ -1,40 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.10"
-}
-
-# Declare build specific Cloud project.
-env_vars: {
-    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "python-docs-samples-tests-310"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.10/continuous.cfg b/.kokoro/samples/python3.10/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.10/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.10/periodic-head.cfg b/.kokoro/samples/python3.10/periodic-head.cfg
deleted file mode 100644
index 8d1fb884..00000000
--- a/.kokoro/samples/python3.10/periodic-head.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples-against-head.sh"
-}
diff --git a/.kokoro/samples/python3.10/periodic.cfg b/.kokoro/samples/python3.10/periodic.cfg
deleted file mode 100644
index 71cd1e59..00000000
--- a/.kokoro/samples/python3.10/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
diff --git a/.kokoro/samples/python3.10/presubmit.cfg b/.kokoro/samples/python3.10/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.10/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.11/common.cfg b/.kokoro/samples/python3.11/common.cfg
deleted file mode 100644
index 628b5b5c..00000000
--- a/.kokoro/samples/python3.11/common.cfg
+++ /dev/null
@@ -1,40 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.11"
-}
-
-# Declare build specific Cloud project.
-env_vars: {
-    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "python-docs-samples-tests-311"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.11/continuous.cfg b/.kokoro/samples/python3.11/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.11/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.11/periodic-head.cfg b/.kokoro/samples/python3.11/periodic-head.cfg
deleted file mode 100644
index 8d1fb884..00000000
--- a/.kokoro/samples/python3.11/periodic-head.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples-against-head.sh"
-}
diff --git a/.kokoro/samples/python3.11/periodic.cfg b/.kokoro/samples/python3.11/periodic.cfg
deleted file mode 100644
index 71cd1e59..00000000
--- a/.kokoro/samples/python3.11/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
diff --git a/.kokoro/samples/python3.11/presubmit.cfg b/.kokoro/samples/python3.11/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.11/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/common.cfg b/.kokoro/samples/python3.7/common.cfg
deleted file mode 100644
index 28a1fd52..00000000
--- a/.kokoro/samples/python3.7/common.cfg
+++ /dev/null
@@ -1,40 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.7"
-}
-
-# Declare build specific Cloud project.
-env_vars: {
-    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "python-docs-samples-tests-py37"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/continuous.cfg b/.kokoro/samples/python3.7/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.7/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/periodic-head.cfg b/.kokoro/samples/python3.7/periodic-head.cfg
deleted file mode 100644
index 8d1fb884..00000000
--- a/.kokoro/samples/python3.7/periodic-head.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples-against-head.sh"
-}
diff --git a/.kokoro/samples/python3.7/periodic.cfg b/.kokoro/samples/python3.7/periodic.cfg
deleted file mode 100644
index 71cd1e59..00000000
--- a/.kokoro/samples/python3.7/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
diff --git a/.kokoro/samples/python3.7/presubmit.cfg b/.kokoro/samples/python3.7/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.7/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/common.cfg b/.kokoro/samples/python3.8/common.cfg
deleted file mode 100644
index 70bb8c23..00000000
--- a/.kokoro/samples/python3.8/common.cfg
+++ /dev/null
@@ -1,40 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.8"
-}
-
-# Declare build specific Cloud project.
-env_vars: {
-    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "python-docs-samples-tests-py38"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/continuous.cfg b/.kokoro/samples/python3.8/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.8/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/periodic-head.cfg b/.kokoro/samples/python3.8/periodic-head.cfg
deleted file mode 100644
index 8d1fb884..00000000
--- a/.kokoro/samples/python3.8/periodic-head.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples-against-head.sh"
-}
diff --git a/.kokoro/samples/python3.8/periodic.cfg b/.kokoro/samples/python3.8/periodic.cfg
deleted file mode 100644
index 71cd1e59..00000000
--- a/.kokoro/samples/python3.8/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
diff --git a/.kokoro/samples/python3.8/presubmit.cfg b/.kokoro/samples/python3.8/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.8/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.9/common.cfg b/.kokoro/samples/python3.9/common.cfg
deleted file mode 100644
index a768d236..00000000
--- a/.kokoro/samples/python3.9/common.cfg
+++ /dev/null
@@ -1,40 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.9"
-}
-
-# Declare build specific Cloud project.
-env_vars: {
-    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "python-docs-samples-tests-py39"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-speech/.kokoro/trampoline_v2.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.9/continuous.cfg b/.kokoro/samples/python3.9/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.9/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.9/periodic-head.cfg b/.kokoro/samples/python3.9/periodic-head.cfg
deleted file mode 100644
index 8d1fb884..00000000
--- a/.kokoro/samples/python3.9/periodic-head.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-speech/.kokoro/test-samples-against-head.sh"
-}
diff --git a/.kokoro/samples/python3.9/periodic.cfg b/.kokoro/samples/python3.9/periodic.cfg
deleted file mode 100644
index 71cd1e59..00000000
--- a/.kokoro/samples/python3.9/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
diff --git a/.kokoro/samples/python3.9/presubmit.cfg b/.kokoro/samples/python3.9/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.9/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/test-samples-against-head.sh b/.kokoro/test-samples-against-head.sh
deleted file mode 100755
index 63ac41df..00000000
--- a/.kokoro/test-samples-against-head.sh
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# A customized test runner for samples.
-#
-# For periodic builds, you can specify this file for testing against head.
-
-# `-e` enables the script to automatically fail when a command fails
-# `-o pipefail` sets the exit code to the rightmost comment to exit with a non-zero
-set -eo pipefail
-# Enables `**` to include files nested inside sub-folders
-shopt -s globstar
-
-exec .kokoro/test-samples-impl.sh
diff --git a/.kokoro/test-samples-impl.sh b/.kokoro/test-samples-impl.sh
deleted file mode 100755
index 5a0f5fab..00000000
--- a/.kokoro/test-samples-impl.sh
+++ /dev/null
@@ -1,102 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# `-e` enables the script to automatically fail when a command fails
-# `-o pipefail` sets the exit code to the rightmost comment to exit with a non-zero
-set -eo pipefail
-# Enables `**` to include files nested inside sub-folders
-shopt -s globstar
-
-# Exit early if samples don't exist
-if ! find samples -name 'requirements.txt' | grep -q .; then
-  echo "No tests run. './samples/**/requirements.txt' not found"
-  exit 0
-fi
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Debug: show build environment
-env | grep KOKORO
-
-# Install nox
-python3.9 -m pip install --upgrade --quiet nox
-
-# Use secrets acessor service account to get secrets
-if [[ -f "${KOKORO_GFILE_DIR}/secrets_viewer_service_account.json" ]]; then
-    gcloud auth activate-service-account \
-	   --key-file="${KOKORO_GFILE_DIR}/secrets_viewer_service_account.json" \
-	   --project="cloud-devrel-kokoro-resources"
-fi
-
-# This script will create 3 files:
-# - testing/test-env.sh
-# - testing/service-account.json
-# - testing/client-secrets.json
-./scripts/decrypt-secrets.sh
-
-source ./testing/test-env.sh
-export GOOGLE_APPLICATION_CREDENTIALS=$(pwd)/testing/service-account.json
-
-# For cloud-run session, we activate the service account for gcloud sdk.
-gcloud auth activate-service-account \
-       --key-file "${GOOGLE_APPLICATION_CREDENTIALS}"
-
-export GOOGLE_CLIENT_SECRETS=$(pwd)/testing/client-secrets.json
-
-echo -e "\n******************** TESTING PROJECTS ********************"
-
-# Switch to 'fail at end' to allow all tests to complete before exiting.
-set +e
-# Use RTN to return a non-zero value if the test fails.
-RTN=0
-ROOT=$(pwd)
-# Find all requirements.txt in the samples directory (may break on whitespace).
-for file in samples/**/requirements.txt; do
-    cd "$ROOT"
-    # Navigate to the project folder.
-    file=$(dirname "$file")
-    cd "$file"
-
-    echo "------------------------------------------------------------"
-    echo "- testing $file"
-    echo "------------------------------------------------------------"
-
-    # Use nox to execute the tests for the project.
-    python3.9 -m nox -s "$RUN_TESTS_SESSION"
-    EXIT=$?
-
-    # If this is a periodic build, send the test log to the FlakyBot.
-    # See https://github.com/googleapis/repo-automation-bots/tree/main/packages/flakybot.
-    if [[ $KOKORO_BUILD_ARTIFACTS_SUBDIR = *"periodic"* ]]; then
-      chmod +x $KOKORO_GFILE_DIR/linux_amd64/flakybot
-      $KOKORO_GFILE_DIR/linux_amd64/flakybot
-    fi
-
-    if [[ $EXIT -ne 0 ]]; then
-      RTN=1
-      echo -e "\n Testing failed: Nox returned a non-zero exit code. \n"
-    else
-      echo -e "\n Testing completed.\n"
-    fi
-
-done
-cd "$ROOT"
-
-# Workaround for Kokoro permissions issue: delete secrets
-rm testing/{test-env.sh,client-secrets.json,service-account.json}
-
-exit "$RTN"
diff --git a/.kokoro/test-samples.sh b/.kokoro/test-samples.sh
deleted file mode 100755
index 50b35a48..00000000
--- a/.kokoro/test-samples.sh
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# The default test runner for samples.
-#
-# For periodic builds, we rewinds the repo to the latest release, and
-# run test-samples-impl.sh.
-
-# `-e` enables the script to automatically fail when a command fails
-# `-o pipefail` sets the exit code to the rightmost comment to exit with a non-zero
-set -eo pipefail
-# Enables `**` to include files nested inside sub-folders
-shopt -s globstar
-
-# Run periodic samples tests at latest release
-if [[ $KOKORO_BUILD_ARTIFACTS_SUBDIR = *"periodic"* ]]; then
-    # preserving the test runner implementation.
-    cp .kokoro/test-samples-impl.sh "${TMPDIR}/test-samples-impl.sh"
-    echo "--- IMPORTANT IMPORTANT IMPORTANT ---"
-    echo "Now we rewind the repo back to the latest release..."
-    LATEST_RELEASE=$(git describe --abbrev=0 --tags)
-    git checkout $LATEST_RELEASE
-    echo "The current head is: "
-    echo $(git rev-parse --verify HEAD)
-    echo "--- IMPORTANT IMPORTANT IMPORTANT ---"
-    # move back the test runner implementation if there's no file.
-    if [ ! -f .kokoro/test-samples-impl.sh ]; then
-	cp "${TMPDIR}/test-samples-impl.sh" .kokoro/test-samples-impl.sh
-    fi
-fi
-
-exec .kokoro/test-samples-impl.sh
diff --git a/.kokoro/trampoline.sh b/.kokoro/trampoline.sh
deleted file mode 100755
index d85b1f26..00000000
--- a/.kokoro/trampoline.sh
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/bin/bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-# Always run the cleanup script, regardless of the success of bouncing into
-# the container.
-function cleanup() {
-    chmod +x ${KOKORO_GFILE_DIR}/trampoline_cleanup.sh
-    ${KOKORO_GFILE_DIR}/trampoline_cleanup.sh
-    echo "cleanup";
-}
-trap cleanup EXIT
-
-$(dirname $0)/populate-secrets.sh # Secret Manager secrets.
-python3 "${KOKORO_GFILE_DIR}/trampoline_v1.py"
\ No newline at end of file
diff --git a/.kokoro/trampoline_v2.sh b/.kokoro/trampoline_v2.sh
deleted file mode 100755
index 59a7cf3a..00000000
--- a/.kokoro/trampoline_v2.sh
+++ /dev/null
@@ -1,487 +0,0 @@
-#!/usr/bin/env bash
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# trampoline_v2.sh
-#
-# This script does 3 things.
-#
-# 1. Prepare the Docker image for the test
-# 2. Run the Docker with appropriate flags to run the test
-# 3. Upload the newly built Docker image
-#
-# in a way that is somewhat compatible with trampoline_v1.
-#
-# To run this script, first download few files from gcs to /dev/shm.
-# (/dev/shm is passed into the container as KOKORO_GFILE_DIR).
-#
-# gsutil cp gs://cloud-devrel-kokoro-resources/python-docs-samples/secrets_viewer_service_account.json /dev/shm
-# gsutil cp gs://cloud-devrel-kokoro-resources/python-docs-samples/automl_secrets.txt /dev/shm
-#
-# Then run the script.
-# .kokoro/trampoline_v2.sh
-#
-# These environment variables are required:
-# TRAMPOLINE_IMAGE: The docker image to use.
-# TRAMPOLINE_DOCKERFILE: The location of the Dockerfile.
-#
-# You can optionally change these environment variables:
-# TRAMPOLINE_IMAGE_UPLOAD:
-#     (true|false): Whether to upload the Docker image after the
-#                   successful builds.
-# TRAMPOLINE_BUILD_FILE: The script to run in the docker container.
-# TRAMPOLINE_WORKSPACE: The workspace path in the docker container.
-#                       Defaults to /workspace.
-# Potentially there are some repo specific envvars in .trampolinerc in
-# the project root.
-
-
-set -euo pipefail
-
-TRAMPOLINE_VERSION="2.0.5"
-
-if command -v tput >/dev/null && [[ -n "${TERM:-}" ]]; then
-  readonly IO_COLOR_RED="$(tput setaf 1)"
-  readonly IO_COLOR_GREEN="$(tput setaf 2)"
-  readonly IO_COLOR_YELLOW="$(tput setaf 3)"
-  readonly IO_COLOR_RESET="$(tput sgr0)"
-else
-  readonly IO_COLOR_RED=""
-  readonly IO_COLOR_GREEN=""
-  readonly IO_COLOR_YELLOW=""
-  readonly IO_COLOR_RESET=""
-fi
-
-function function_exists {
-    [ $(LC_ALL=C type -t $1)"" == "function" ]
-}
-
-# Logs a message using the given color. The first argument must be one
-# of the IO_COLOR_* variables defined above, such as
-# "${IO_COLOR_YELLOW}". The remaining arguments will be logged in the
-# given color. The log message will also have an RFC-3339 timestamp
-# prepended (in UTC). You can disable the color output by setting
-# TERM=vt100.
-function log_impl() {
-    local color="$1"
-    shift
-    local timestamp="$(date -u "+%Y-%m-%dT%H:%M:%SZ")"
-    echo "================================================================"
-    echo "${color}${timestamp}:" "$@" "${IO_COLOR_RESET}"
-    echo "================================================================"
-}
-
-# Logs the given message with normal coloring and a timestamp.
-function log() {
-  log_impl "${IO_COLOR_RESET}" "$@"
-}
-
-# Logs the given message in green with a timestamp.
-function log_green() {
-  log_impl "${IO_COLOR_GREEN}" "$@"
-}
-
-# Logs the given message in yellow with a timestamp.
-function log_yellow() {
-  log_impl "${IO_COLOR_YELLOW}" "$@"
-}
-
-# Logs the given message in red with a timestamp.
-function log_red() {
-  log_impl "${IO_COLOR_RED}" "$@"
-}
-
-readonly tmpdir=$(mktemp -d -t ci-XXXXXXXX)
-readonly tmphome="${tmpdir}/h"
-mkdir -p "${tmphome}"
-
-function cleanup() {
-    rm -rf "${tmpdir}"
-}
-trap cleanup EXIT
-
-RUNNING_IN_CI="${RUNNING_IN_CI:-false}"
-
-# The workspace in the container, defaults to /workspace.
-TRAMPOLINE_WORKSPACE="${TRAMPOLINE_WORKSPACE:-/workspace}"
-
-pass_down_envvars=(
-    # TRAMPOLINE_V2 variables.
-    # Tells scripts whether they are running as part of CI or not.
-    "RUNNING_IN_CI"
-    # Indicates which CI system we're in.
-    "TRAMPOLINE_CI"
-    # Indicates the version of the script.
-    "TRAMPOLINE_VERSION"
-)
-
-log_yellow "Building with Trampoline ${TRAMPOLINE_VERSION}"
-
-# Detect which CI systems we're in. If we're in any of the CI systems
-# we support, `RUNNING_IN_CI` will be true and `TRAMPOLINE_CI` will be
-# the name of the CI system. Both envvars will be passing down to the
-# container for telling which CI system we're in.
-if [[ -n "${KOKORO_BUILD_ID:-}" ]]; then
-    # descriptive env var for indicating it's on CI.
-    RUNNING_IN_CI="true"
-    TRAMPOLINE_CI="kokoro"
-    if [[ "${TRAMPOLINE_USE_LEGACY_SERVICE_ACCOUNT:-}" == "true" ]]; then
-	if [[ ! -f "${KOKORO_GFILE_DIR}/kokoro-trampoline.service-account.json" ]]; then
-	    log_red "${KOKORO_GFILE_DIR}/kokoro-trampoline.service-account.json does not exist. Did you forget to mount cloud-devrel-kokoro-resources/trampoline? Aborting."
-	    exit 1
-	fi
-	# This service account will be activated later.
-	TRAMPOLINE_SERVICE_ACCOUNT="${KOKORO_GFILE_DIR}/kokoro-trampoline.service-account.json"
-    else
-	if [[ "${TRAMPOLINE_VERBOSE:-}" == "true" ]]; then
-	    gcloud auth list
-	fi
-	log_yellow "Configuring Container Registry access"
-	gcloud auth configure-docker --quiet
-    fi
-    pass_down_envvars+=(
-	# KOKORO dynamic variables.
-	"KOKORO_BUILD_NUMBER"
-	"KOKORO_BUILD_ID"
-	"KOKORO_JOB_NAME"
-	"KOKORO_GIT_COMMIT"
-	"KOKORO_GITHUB_COMMIT"
-	"KOKORO_GITHUB_PULL_REQUEST_NUMBER"
-	"KOKORO_GITHUB_PULL_REQUEST_COMMIT"
-	# For FlakyBot
-	"KOKORO_GITHUB_COMMIT_URL"
-	"KOKORO_GITHUB_PULL_REQUEST_URL"
-    )
-elif [[ "${TRAVIS:-}" == "true" ]]; then
-    RUNNING_IN_CI="true"
-    TRAMPOLINE_CI="travis"
-    pass_down_envvars+=(
-	"TRAVIS_BRANCH"
-	"TRAVIS_BUILD_ID"
-	"TRAVIS_BUILD_NUMBER"
-	"TRAVIS_BUILD_WEB_URL"
-	"TRAVIS_COMMIT"
-	"TRAVIS_COMMIT_MESSAGE"
-	"TRAVIS_COMMIT_RANGE"
-	"TRAVIS_JOB_NAME"
-	"TRAVIS_JOB_NUMBER"
-	"TRAVIS_JOB_WEB_URL"
-	"TRAVIS_PULL_REQUEST"
-	"TRAVIS_PULL_REQUEST_BRANCH"
-	"TRAVIS_PULL_REQUEST_SHA"
-	"TRAVIS_PULL_REQUEST_SLUG"
-	"TRAVIS_REPO_SLUG"
-	"TRAVIS_SECURE_ENV_VARS"
-	"TRAVIS_TAG"
-    )
-elif [[ -n "${GITHUB_RUN_ID:-}" ]]; then
-    RUNNING_IN_CI="true"
-    TRAMPOLINE_CI="github-workflow"
-    pass_down_envvars+=(
-	"GITHUB_WORKFLOW"
-	"GITHUB_RUN_ID"
-	"GITHUB_RUN_NUMBER"
-	"GITHUB_ACTION"
-	"GITHUB_ACTIONS"
-	"GITHUB_ACTOR"
-	"GITHUB_REPOSITORY"
-	"GITHUB_EVENT_NAME"
-	"GITHUB_EVENT_PATH"
-	"GITHUB_SHA"
-	"GITHUB_REF"
-	"GITHUB_HEAD_REF"
-	"GITHUB_BASE_REF"
-    )
-elif [[ "${CIRCLECI:-}" == "true" ]]; then
-    RUNNING_IN_CI="true"
-    TRAMPOLINE_CI="circleci"
-    pass_down_envvars+=(
-	"CIRCLE_BRANCH"
-	"CIRCLE_BUILD_NUM"
-	"CIRCLE_BUILD_URL"
-	"CIRCLE_COMPARE_URL"
-	"CIRCLE_JOB"
-	"CIRCLE_NODE_INDEX"
-	"CIRCLE_NODE_TOTAL"
-	"CIRCLE_PREVIOUS_BUILD_NUM"
-	"CIRCLE_PROJECT_REPONAME"
-	"CIRCLE_PROJECT_USERNAME"
-	"CIRCLE_REPOSITORY_URL"
-	"CIRCLE_SHA1"
-	"CIRCLE_STAGE"
-	"CIRCLE_USERNAME"
-	"CIRCLE_WORKFLOW_ID"
-	"CIRCLE_WORKFLOW_JOB_ID"
-	"CIRCLE_WORKFLOW_UPSTREAM_JOB_IDS"
-	"CIRCLE_WORKFLOW_WORKSPACE_ID"
-    )
-fi
-
-# Configure the service account for pulling the docker image.
-function repo_root() {
-    local dir="$1"
-    while [[ ! -d "${dir}/.git" ]]; do
-	dir="$(dirname "$dir")"
-    done
-    echo "${dir}"
-}
-
-# Detect the project root. In CI builds, we assume the script is in
-# the git tree and traverse from there, otherwise, traverse from `pwd`
-# to find `.git` directory.
-if [[ "${RUNNING_IN_CI:-}" == "true" ]]; then
-    PROGRAM_PATH="$(realpath "$0")"
-    PROGRAM_DIR="$(dirname "${PROGRAM_PATH}")"
-    PROJECT_ROOT="$(repo_root "${PROGRAM_DIR}")"
-else
-    PROJECT_ROOT="$(repo_root $(pwd))"
-fi
-
-log_yellow "Changing to the project root: ${PROJECT_ROOT}."
-cd "${PROJECT_ROOT}"
-
-# To support relative path for `TRAMPOLINE_SERVICE_ACCOUNT`, we need
-# to use this environment variable in `PROJECT_ROOT`.
-if [[ -n "${TRAMPOLINE_SERVICE_ACCOUNT:-}" ]]; then
-
-    mkdir -p "${tmpdir}/gcloud"
-    gcloud_config_dir="${tmpdir}/gcloud"
-
-    log_yellow "Using isolated gcloud config: ${gcloud_config_dir}."
-    export CLOUDSDK_CONFIG="${gcloud_config_dir}"
-
-    log_yellow "Using ${TRAMPOLINE_SERVICE_ACCOUNT} for authentication."
-    gcloud auth activate-service-account \
-	   --key-file "${TRAMPOLINE_SERVICE_ACCOUNT}"
-    log_yellow "Configuring Container Registry access"
-    gcloud auth configure-docker --quiet
-fi
-
-required_envvars=(
-    # The basic trampoline configurations.
-    "TRAMPOLINE_IMAGE"
-    "TRAMPOLINE_BUILD_FILE"
-)
-
-if [[ -f "${PROJECT_ROOT}/.trampolinerc" ]]; then
-    source "${PROJECT_ROOT}/.trampolinerc"
-fi
-
-log_yellow "Checking environment variables."
-for e in "${required_envvars[@]}"
-do
-    if [[ -z "${!e:-}" ]]; then
-	log "Missing ${e} env var. Aborting."
-	exit 1
-    fi
-done
-
-# We want to support legacy style TRAMPOLINE_BUILD_FILE used with V1
-# script: e.g. "github/repo-name/.kokoro/run_tests.sh"
-TRAMPOLINE_BUILD_FILE="${TRAMPOLINE_BUILD_FILE#github/*/}"
-log_yellow "Using TRAMPOLINE_BUILD_FILE: ${TRAMPOLINE_BUILD_FILE}"
-
-# ignore error on docker operations and test execution
-set +e
-
-log_yellow "Preparing Docker image."
-# We only download the docker image in CI builds.
-if [[ "${RUNNING_IN_CI:-}" == "true" ]]; then
-    # Download the docker image specified by `TRAMPOLINE_IMAGE`
-
-    # We may want to add --max-concurrent-downloads flag.
-
-    log_yellow "Start pulling the Docker image: ${TRAMPOLINE_IMAGE}."
-    if docker pull "${TRAMPOLINE_IMAGE}"; then
-	log_green "Finished pulling the Docker image: ${TRAMPOLINE_IMAGE}."
-	has_image="true"
-    else
-	log_red "Failed pulling the Docker image: ${TRAMPOLINE_IMAGE}."
-	has_image="false"
-    fi
-else
-    # For local run, check if we have the image.
-    if docker images "${TRAMPOLINE_IMAGE}:latest" | grep "${TRAMPOLINE_IMAGE}"; then
-	has_image="true"
-    else
-	has_image="false"
-    fi
-fi
-
-
-# The default user for a Docker container has uid 0 (root). To avoid
-# creating root-owned files in the build directory we tell docker to
-# use the current user ID.
-user_uid="$(id -u)"
-user_gid="$(id -g)"
-user_name="$(id -un)"
-
-# To allow docker in docker, we add the user to the docker group in
-# the host os.
-docker_gid=$(cut -d: -f3 < <(getent group docker))
-
-update_cache="false"
-if [[ "${TRAMPOLINE_DOCKERFILE:-none}" != "none" ]]; then
-    # Build the Docker image from the source.
-    context_dir=$(dirname "${TRAMPOLINE_DOCKERFILE}")
-    docker_build_flags=(
-	"-f" "${TRAMPOLINE_DOCKERFILE}"
-	"-t" "${TRAMPOLINE_IMAGE}"
-	"--build-arg" "UID=${user_uid}"
-	"--build-arg" "USERNAME=${user_name}"
-    )
-    if [[ "${has_image}" == "true" ]]; then
-	docker_build_flags+=("--cache-from" "${TRAMPOLINE_IMAGE}")
-    fi
-
-    log_yellow "Start building the docker image."
-    if [[ "${TRAMPOLINE_VERBOSE:-false}" == "true" ]]; then
-	echo "docker build" "${docker_build_flags[@]}" "${context_dir}"
-    fi
-
-    # ON CI systems, we want to suppress docker build logs, only
-    # output the logs when it fails.
-    if [[ "${RUNNING_IN_CI:-}" == "true" ]]; then
-	if docker build "${docker_build_flags[@]}" "${context_dir}" \
-		  > "${tmpdir}/docker_build.log" 2>&1; then
-	    if [[ "${TRAMPOLINE_VERBOSE:-}" == "true" ]]; then
-		cat "${tmpdir}/docker_build.log"
-	    fi
-
-	    log_green "Finished building the docker image."
-	    update_cache="true"
-	else
-	    log_red "Failed to build the Docker image, aborting."
-	    log_yellow "Dumping the build logs:"
-	    cat "${tmpdir}/docker_build.log"
-	    exit 1
-	fi
-    else
-	if docker build "${docker_build_flags[@]}" "${context_dir}"; then
-	    log_green "Finished building the docker image."
-	    update_cache="true"
-	else
-	    log_red "Failed to build the Docker image, aborting."
-	    exit 1
-	fi
-    fi
-else
-    if [[ "${has_image}" != "true" ]]; then
-	log_red "We do not have ${TRAMPOLINE_IMAGE} locally, aborting."
-	exit 1
-    fi
-fi
-
-# We use an array for the flags so they are easier to document.
-docker_flags=(
-    # Remove the container after it exists.
-    "--rm"
-
-    # Use the host network.
-    "--network=host"
-
-    # Run in priviledged mode. We are not using docker for sandboxing or
-    # isolation, just for packaging our dev tools.
-    "--privileged"
-
-    # Run the docker script with the user id. Because the docker image gets to
-    # write in ${PWD} you typically want this to be your user id.
-    # To allow docker in docker, we need to use docker gid on the host.
-    "--user" "${user_uid}:${docker_gid}"
-
-    # Pass down the USER.
-    "--env" "USER=${user_name}"
-
-    # Mount the project directory inside the Docker container.
-    "--volume" "${PROJECT_ROOT}:${TRAMPOLINE_WORKSPACE}"
-    "--workdir" "${TRAMPOLINE_WORKSPACE}"
-    "--env" "PROJECT_ROOT=${TRAMPOLINE_WORKSPACE}"
-
-    # Mount the temporary home directory.
-    "--volume" "${tmphome}:/h"
-    "--env" "HOME=/h"
-
-    # Allow docker in docker.
-    "--volume" "/var/run/docker.sock:/var/run/docker.sock"
-
-    # Mount the /tmp so that docker in docker can mount the files
-    # there correctly.
-    "--volume" "/tmp:/tmp"
-    # Pass down the KOKORO_GFILE_DIR and KOKORO_KEYSTORE_DIR
-    # TODO(tmatsuo): This part is not portable.
-    "--env" "TRAMPOLINE_SECRET_DIR=/secrets"
-    "--volume" "${KOKORO_GFILE_DIR:-/dev/shm}:/secrets/gfile"
-    "--env" "KOKORO_GFILE_DIR=/secrets/gfile"
-    "--volume" "${KOKORO_KEYSTORE_DIR:-/dev/shm}:/secrets/keystore"
-    "--env" "KOKORO_KEYSTORE_DIR=/secrets/keystore"
-)
-
-# Add an option for nicer output if the build gets a tty.
-if [[ -t 0 ]]; then
-    docker_flags+=("-it")
-fi
-
-# Passing down env vars
-for e in "${pass_down_envvars[@]}"
-do
-    if [[ -n "${!e:-}" ]]; then
-	docker_flags+=("--env" "${e}=${!e}")
-    fi
-done
-
-# If arguments are given, all arguments will become the commands run
-# in the container, otherwise run TRAMPOLINE_BUILD_FILE.
-if [[ $# -ge 1 ]]; then
-    log_yellow "Running the given commands '" "${@:1}" "' in the container."
-    readonly commands=("${@:1}")
-    if [[ "${TRAMPOLINE_VERBOSE:-}" == "true" ]]; then
-	echo docker run "${docker_flags[@]}" "${TRAMPOLINE_IMAGE}" "${commands[@]}"
-    fi
-    docker run "${docker_flags[@]}" "${TRAMPOLINE_IMAGE}" "${commands[@]}"
-else
-    log_yellow "Running the tests in a Docker container."
-    docker_flags+=("--entrypoint=${TRAMPOLINE_BUILD_FILE}")
-    if [[ "${TRAMPOLINE_VERBOSE:-}" == "true" ]]; then
-	echo docker run "${docker_flags[@]}" "${TRAMPOLINE_IMAGE}"
-    fi
-    docker run "${docker_flags[@]}" "${TRAMPOLINE_IMAGE}"
-fi
-
-
-test_retval=$?
-
-if [[ ${test_retval} -eq 0 ]]; then
-    log_green "Build finished with ${test_retval}"
-else
-    log_red "Build finished with ${test_retval}"
-fi
-
-# Only upload it when the test passes.
-if [[ "${update_cache}" == "true" ]] && \
-       [[ $test_retval == 0 ]] && \
-       [[ "${TRAMPOLINE_IMAGE_UPLOAD:-false}" == "true" ]]; then
-    log_yellow "Uploading the Docker image."
-    if docker push "${TRAMPOLINE_IMAGE}"; then
-	log_green "Finished uploading the Docker image."
-    else
-	log_red "Failed uploading the Docker image."
-    fi
-    # Call trampoline_after_upload_hook if it's defined.
-    if function_exists trampoline_after_upload_hook; then
-	trampoline_after_upload_hook
-    fi
-
-fi
-
-exit "${test_retval}"
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
deleted file mode 100644
index 6a8e1695..00000000
--- a/.pre-commit-config.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# See https://pre-commit.com for more information
-# See https://pre-commit.com/hooks.html for more hooks
-repos:
--   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.0.1
-    hooks:
-    -   id: trailing-whitespace
-    -   id: end-of-file-fixer
-    -   id: check-yaml
--   repo: https://github.com/psf/black
-    rev: 23.7.0
-    hooks:
-    - id: black
--   repo: https://github.com/pycqa/flake8
-    rev: 6.1.0
-    hooks:
-    - id: flake8
diff --git a/.release-please-manifest.json b/.release-please-manifest.json
deleted file mode 100644
index 72e6fd85..00000000
--- a/.release-please-manifest.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-    ".": "2.21.1"
-}
-  
\ No newline at end of file
diff --git a/.trampolinerc b/.trampolinerc
deleted file mode 100644
index a7dfeb42..00000000
--- a/.trampolinerc
+++ /dev/null
@@ -1,61 +0,0 @@
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Add required env vars here.
-required_envvars+=(
-)
-
-# Add env vars which are passed down into the container here.
-pass_down_envvars+=(
-    "NOX_SESSION"
-    ###############
-    # Docs builds
-    ###############
-    "STAGING_BUCKET"
-    "V2_STAGING_BUCKET"
-    ##################
-    # Samples builds
-    ##################
-    "INSTALL_LIBRARY_FROM_SOURCE"
-    "RUN_TESTS_SESSION"
-    "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    # Target directories.
-    "RUN_TESTS_DIRS"
-    # The nox session to run.
-    "RUN_TESTS_SESSION"
-)
-
-# Prevent unintentional override on the default image.
-if [[ "${TRAMPOLINE_IMAGE_UPLOAD:-false}" == "true" ]] && \
-   [[ -z "${TRAMPOLINE_IMAGE:-}" ]]; then
-   echo "Please set TRAMPOLINE_IMAGE if you want to upload the Docker image."
-   exit 1
-fi
-
-# Define the default value if it makes sense.
-if [[ -z "${TRAMPOLINE_IMAGE_UPLOAD:-}" ]]; then
-    TRAMPOLINE_IMAGE_UPLOAD=""
-fi
-
-if [[ -z "${TRAMPOLINE_IMAGE:-}" ]]; then
-    TRAMPOLINE_IMAGE=""
-fi
-
-if [[ -z "${TRAMPOLINE_DOCKERFILE:-}" ]]; then
-    TRAMPOLINE_DOCKERFILE=""
-fi
-
-if [[ -z "${TRAMPOLINE_BUILD_FILE:-}" ]]; then
-    TRAMPOLINE_BUILD_FILE=""
-fi
diff --git a/CHANGELOG.md b/CHANGELOG.md
deleted file mode 100644
index 9f5063f3..00000000
--- a/CHANGELOG.md
+++ /dev/null
@@ -1,683 +0,0 @@
-# Changelog
-
-[PyPI History][1]
-
-[1]: https://pypi.org/project/google-cloud-speech/#history
-
-## [2.21.1](https://github.com/googleapis/python-speech/compare/v2.21.0...v2.21.1) (2023-10-09)
-
-
-### Documentation
-
-* Minor formatting ([7342cd5](https://github.com/googleapis/python-speech/commit/7342cd51e12ac8b39c070778ad363c09f0950f41))
-
-## [2.21.0](https://github.com/googleapis/python-speech/compare/v2.20.1...v2.21.0) (2023-07-05)
-
-
-### Features
-
-* Add `model` and `language_codes` fields in `RecognitionConfig` message + enable default `_` recognizer ([#524](https://github.com/googleapis/python-speech/issues/524)) ([65971c5](https://github.com/googleapis/python-speech/commit/65971c547587cb85e752b25a836e0a7ac41eee48))
-
-## [2.20.1](https://github.com/googleapis/python-speech/compare/v2.20.0...v2.20.1) (2023-07-04)
-
-
-### Bug Fixes
-
-* Add async context manager return types ([#522](https://github.com/googleapis/python-speech/issues/522)) ([d473ad3](https://github.com/googleapis/python-speech/commit/d473ad3c9e272b13d54014e8d3aca4871e4fd270))
-
-## [2.20.0](https://github.com/googleapis/python-speech/compare/v2.19.0...v2.20.0) (2023-05-25)
-
-
-### Features
-
-* **v2:** Add processing strategy to batch recognition requests ([#514](https://github.com/googleapis/python-speech/issues/514)) ([5bbf3a4](https://github.com/googleapis/python-speech/commit/5bbf3a4f4c758c76502ad3f0a8ce03604ef86c14))
-
-## [2.19.0](https://github.com/googleapis/python-speech/compare/v2.18.0...v2.19.0) (2023-03-27)
-
-
-### Features
-
-* Add support for BatchRecognize ([2e7ee2d](https://github.com/googleapis/python-speech/commit/2e7ee2dd8a8e3f6feb3cda08cd87e13e7567d4a5))
-
-
-### Documentation
-
-* Fix formatting of request arg in docstring ([#512](https://github.com/googleapis/python-speech/issues/512)) ([1edd640](https://github.com/googleapis/python-speech/commit/1edd640b6493f4ed499acc08b8dbd4edd108ed28))
-* Fix the resource name format in comment for CreatePhraseSetRequest ([2e7ee2d](https://github.com/googleapis/python-speech/commit/2e7ee2dd8a8e3f6feb3cda08cd87e13e7567d4a5))
-
-## [2.18.0](https://github.com/googleapis/python-speech/compare/v2.17.3...v2.18.0) (2023-02-28)
-
-
-### Features
-
-* Enable "rest" transport in Python for services supporting numeric enums ([a20d0f1](https://github.com/googleapis/python-speech/commit/a20d0f15a81e0ad9190f48cb4bc21b3580b7e1f0))
-* Voice Activity Detection - adding speech event time and speech event type ([a20d0f1](https://github.com/googleapis/python-speech/commit/a20d0f15a81e0ad9190f48cb4bc21b3580b7e1f0))
-
-## [2.17.3](https://github.com/googleapis/python-speech/compare/v2.17.2...v2.17.3) (2023-02-02)
-
-
-### Documentation
-
-* **v1:** Clarified boost usage ([#491](https://github.com/googleapis/python-speech/issues/491)) ([8a2a41a](https://github.com/googleapis/python-speech/commit/8a2a41ad40c5dd6282b4774b13b62a1af85f7f15))
-
-## [2.17.2](https://github.com/googleapis/python-speech/compare/v2.17.1...v2.17.2) (2023-01-30)
-
-
-### Documentation
-
-* Clarify boost usage in Reference ([#486](https://github.com/googleapis/python-speech/issues/486)) ([e75f4a2](https://github.com/googleapis/python-speech/commit/e75f4a26db936b6646240cdca158eb5f7b15b314))
-
-## [2.17.1](https://github.com/googleapis/python-speech/compare/v2.17.0...v2.17.1) (2023-01-23)
-
-
-### Bug Fixes
-
-* Add context manager return types ([ed80330](https://github.com/googleapis/python-speech/commit/ed80330f0d3427a17bc0c43a9b84a9f535e82d6d))
-
-
-### Documentation
-
-* Add documentation for enums ([ed80330](https://github.com/googleapis/python-speech/commit/ed80330f0d3427a17bc0c43a9b84a9f535e82d6d))
-
-## [2.17.0](https://github.com/googleapis/python-speech/compare/v2.16.2...v2.17.0) (2023-01-16)
-
-
-### Features
-
-* Add support for python 3.11 ([#478](https://github.com/googleapis/python-speech/issues/478)) ([487242f](https://github.com/googleapis/python-speech/commit/487242f3beff810c2892b1b52b3e097bf3c7339e))
-* Add typing to proto.Message based class attributes ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* Added new fields to facilitate debugging ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* **v1:** Added ABNF Grammars field in Speech Adaptation ([ca28974](https://github.com/googleapis/python-speech/commit/ca28974906ca3ad10a85978b03594aaa4b181f8d))
-* **v1p1beta1:** Added ABNF Grammars field in Speech Adaptation ([ca28974](https://github.com/googleapis/python-speech/commit/ca28974906ca3ad10a85978b03594aaa4b181f8d))
-
-
-### Bug Fixes
-
-* Add dict typing for client_options ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* **deps:** Require google-api-core &gt;=1.34.0, >=2.11.0 ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* Drop usage of pkg_resources ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* Fix timeout default values ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-
-
-### Documentation
-
-* **samples:** Code samples for Speech-to-Text V2 ([5c99f00](https://github.com/googleapis/python-speech/commit/5c99f00a1b15b92ba888e36ca334ad12be854989))
-* **samples:** Snippetgen handling of repeated enum field ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* **samples:** Snippetgen should call await on the operation coroutine before calling result ([c2a079c](https://github.com/googleapis/python-speech/commit/c2a079c29c9c53e9da6736303b63f7985b59949a))
-* **samples:** Update code samples for adaptation and VAD ([#462](https://github.com/googleapis/python-speech/issues/462)) ([f785ac7](https://github.com/googleapis/python-speech/commit/f785ac7ed11340db893f6d43368a4bde1655c5c8))
-
-## [2.16.2](https://github.com/googleapis/python-speech/compare/v2.16.1...v2.16.2) (2022-10-07)
-
-
-### Bug Fixes
-
-* **deps:** Allow protobuf 3.19.5 ([#456](https://github.com/googleapis/python-speech/issues/456)) ([01f7324](https://github.com/googleapis/python-speech/commit/01f732416cebc4ead860eea1e987afe136018f62))
-
-
-### Documentation
-
-* **samples:** Add create_recognizer code sample ([#450](https://github.com/googleapis/python-speech/issues/450)) ([4ea3edc](https://github.com/googleapis/python-speech/commit/4ea3edc7b62b1a815caa7af34383e9cd2eddf5fe))
-* **samples:** Add quickstart code sample for STT V2 ([#451](https://github.com/googleapis/python-speech/issues/451)) ([5b1ce98](https://github.com/googleapis/python-speech/commit/5b1ce983f812a63837c8f9338ed46b11e2c21ddc))
-
-## [2.16.1](https://github.com/googleapis/python-speech/compare/v2.16.0...v2.16.1) (2022-10-05)
-
-
-### Bug Fixes
-
-* Remove SpeechHelpers from STT V2 client library ([#452](https://github.com/googleapis/python-speech/issues/452)) ([acfb24f](https://github.com/googleapis/python-speech/commit/acfb24f69e25c369388675f08e41062f090b4817))
-
-## [2.16.0](https://github.com/googleapis/python-speech/compare/v2.15.1...v2.16.0) (2022-10-03)
-
-
-### Features
-
-* Added Speech-to-Text V2 API ([#447](https://github.com/googleapis/python-speech/issues/447)) ([b78cda4](https://github.com/googleapis/python-speech/commit/b78cda46f7b4cac01578832fb6d9ca07887bea52))
-
-
-### Bug Fixes
-
-* **deps:** Require protobuf >= 3.20.2 ([#446](https://github.com/googleapis/python-speech/issues/446)) ([89ceb17](https://github.com/googleapis/python-speech/commit/89ceb175e326fe63c7fa0363cd79cae05b72ed9b))
-
-## [2.15.1](https://github.com/googleapis/python-speech/compare/v2.15.0...v2.15.1) (2022-08-11)
-
-
-### Bug Fixes
-
-* **deps:** allow protobuf < 5.0.0 ([#425](https://github.com/googleapis/python-speech/issues/425)) ([1ad5df9](https://github.com/googleapis/python-speech/commit/1ad5df96cd2c5ed8ffacd23267efe2038ae17ada))
-* **deps:** require proto-plus >= 1.22.0 ([1ad5df9](https://github.com/googleapis/python-speech/commit/1ad5df96cd2c5ed8ffacd23267efe2038ae17ada))
-
-## [2.15.0](https://github.com/googleapis/python-speech/compare/v2.14.1...v2.15.0) (2022-07-14)
-
-
-### Features
-
-* add audience parameter ([068f8e8](https://github.com/googleapis/python-speech/commit/068f8e87ec08b82f957b461d397370e38faccd29))
-
-
-### Bug Fixes
-
-* **deps:** require google-api-core>=1.32.0,>=2.8.0 ([#416](https://github.com/googleapis/python-speech/issues/416)) ([87ad726](https://github.com/googleapis/python-speech/commit/87ad7260dfd6298a85c3caaa26504228c70802a4))
-* require python 3.7+ ([#414](https://github.com/googleapis/python-speech/issues/414)) ([8961725](https://github.com/googleapis/python-speech/commit/896172595815520f06b2a8260516032e2d06c79c))
-
-## [2.14.1](https://github.com/googleapis/python-speech/compare/v2.14.0...v2.14.1) (2022-06-06)
-
-
-### Bug Fixes
-
-* **deps:** require protobuf <4.0.0dev ([#400](https://github.com/googleapis/python-speech/issues/400)) ([a5d2059](https://github.com/googleapis/python-speech/commit/a5d2059d29167ba0ba3f6c07ca7336073ea87053))
-
-
-### Documentation
-
-* fix changelog header to consistent size ([#401](https://github.com/googleapis/python-speech/issues/401)) ([233539d](https://github.com/googleapis/python-speech/commit/233539d8b3ef34a236eac9a6662e19e433f427fc))
-* **samples:** resolve library deprecation warnings ([1d4569d](https://github.com/googleapis/python-speech/commit/1d4569d86b9afcc882016abcd60e96583e4efed9))
-
-## [2.14.0](https://github.com/googleapis/python-speech/compare/v2.13.1...v2.14.0) (2022-05-11)
-
-
-### Features
-
-* Add adaptation proto for v1 api ([#371](https://github.com/googleapis/python-speech/issues/371)) ([c03a6cc](https://github.com/googleapis/python-speech/commit/c03a6cc6f15a8c67a0e89c2433299601c5de73ce))
-
-
-### Documentation
-
-* Add documentation for latest models to RecognitionConfig ([#368](https://github.com/googleapis/python-speech/issues/368)) ([75b8379](https://github.com/googleapis/python-speech/commit/75b8379e97fa43f880e5e7de4404f0f8af4345f1))
-* Update client libraries for v1p1beta1 api ([#372](https://github.com/googleapis/python-speech/issues/372)) ([39b0a2c](https://github.com/googleapis/python-speech/commit/39b0a2cc2f0735cf02fc02982827f4a8c7aada0b))
-* update docstrings to use absolute links ([#355](https://github.com/googleapis/python-speech/issues/355)) ([e36910b](https://github.com/googleapis/python-speech/commit/e36910b24ab69b134338a8b64fe4c6edad350514))
-
-## [2.13.1](https://github.com/googleapis/python-speech/compare/v2.13.0...v2.13.1) (2022-03-05)
-
-
-### Bug Fixes
-
-* **deps:** require google-api-core>=1.31.5, >=2.3.2 ([#334](https://github.com/googleapis/python-speech/issues/334)) ([b35bd09](https://github.com/googleapis/python-speech/commit/b35bd0963fced72c927a4ffb1c08050b5cf590a2))
-* **deps:** require proto-plus>=1.15.0 ([b35bd09](https://github.com/googleapis/python-speech/commit/b35bd0963fced72c927a4ffb1c08050b5cf590a2))
-
-## [2.13.0](https://github.com/googleapis/python-speech/compare/v2.12.0...v2.13.0) (2022-02-26)
-
-
-### Features
-
-* add api key support ([#313](https://github.com/googleapis/python-speech/issues/313)) ([86fe8ea](https://github.com/googleapis/python-speech/commit/86fe8ea626c95b9dd98345777739013b9fd1b0f3))
-
-
-### Bug Fixes
-
-* **deps:** move libcst to extras ([#322](https://github.com/googleapis/python-speech/issues/322)) ([de6e7c1](https://github.com/googleapis/python-speech/commit/de6e7c193edeff69376ec94da26c76dbeaa24d36))
-* resolve DuplicateCredentialArgs error when using credentials_file ([#318](https://github.com/googleapis/python-speech/issues/318)) ([1348765](https://github.com/googleapis/python-speech/commit/1348765cbf8d682ba49983a3e991cb408d59171e))
-
-
-### Documentation
-
-* add generated snippets ([#321](https://github.com/googleapis/python-speech/issues/321)) ([ca99f96](https://github.com/googleapis/python-speech/commit/ca99f96d081eed4d2d1409fc5e688a243fa78ae3))
-
-## [2.12.0](https://github.com/googleapis/python-speech/compare/v2.11.1...v2.12.0) (2022-01-17)
-
-
-### Features
-
-* add hint boost in SpeechContext ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-* add result_end_time to SpeechRecognitionResult ([#291](https://github.com/googleapis/python-speech/issues/291)) ([6ac4df6](https://github.com/googleapis/python-speech/commit/6ac4df60485243aa5a99aa1b6bfdfdbd47006474))
-* add SpeechAdaptation configuration ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-* add spoken punctuation and spoken emojis ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-* add WEBM_OPUS codec ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-* add word confidence ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-* added alternative_language_codes to RecognitionConfig ([#290](https://github.com/googleapis/python-speech/issues/290)) ([3fdef1f](https://github.com/googleapis/python-speech/commit/3fdef1f6057a67c21ef738f4a2e843c8e97274b4))
-
-## [2.11.1](https://www.github.com/googleapis/python-speech/compare/v2.11.0...v2.11.1) (2021-11-01)
-
-
-### Bug Fixes
-
-* **deps:** drop packaging dependency ([43f25c0](https://www.github.com/googleapis/python-speech/commit/43f25c0612ef5b88f848b13ae42f711a4fc2d72a))
-* **deps:** require google-api-core >= 1.28.0 ([43f25c0](https://www.github.com/googleapis/python-speech/commit/43f25c0612ef5b88f848b13ae42f711a4fc2d72a))
-
-
-### Documentation
-
-* list oneofs in docstring ([43f25c0](https://www.github.com/googleapis/python-speech/commit/43f25c0612ef5b88f848b13ae42f711a4fc2d72a))
-
-## [2.11.0](https://www.github.com/googleapis/python-speech/compare/v2.10.0...v2.11.0) (2021-10-25)
-
-
-### Features
-
-* add support for python 3.10 ([#274](https://www.github.com/googleapis/python-speech/issues/274)) ([cc97a58](https://www.github.com/googleapis/python-speech/commit/cc97a580bb4e693a1c3e5170064164e0c5d8482b))
-
-## [2.10.0](https://www.github.com/googleapis/python-speech/compare/v2.9.3...v2.10.0) (2021-10-08)
-
-
-### Features
-
-* add context manager support in client ([#268](https://www.github.com/googleapis/python-speech/issues/268)) ([a5e2005](https://www.github.com/googleapis/python-speech/commit/a5e200515c621695c8c8ed76f739e0b744f32382))
-
-## [2.9.3](https://www.github.com/googleapis/python-speech/compare/v2.9.2...v2.9.3) (2021-10-04)
-
-
-### Documentation
-
-* **samples:** Remove reference to deprecated message "diarization_speaker_count" in favor of diarization_config ([#264](https://www.github.com/googleapis/python-speech/issues/264)) ([c1f7f35](https://www.github.com/googleapis/python-speech/commit/c1f7f357fe8367dafcdcb3d42e04a2619de2de62))
-
-## [2.9.2](https://www.github.com/googleapis/python-speech/compare/v2.9.1...v2.9.2) (2021-09-30)
-
-
-### Bug Fixes
-
-* improper types in pagers generation ([a0bac07](https://www.github.com/googleapis/python-speech/commit/a0bac07de9f4e89c41d34a47d9e35ec6fd7edac3))
-
-## [2.9.1](https://www.github.com/googleapis/python-speech/compare/v2.9.0...v2.9.1) (2021-09-24)
-
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-### Bug Fixes
-
-* add 'dict' annotation type to 'request' ([e75ada8](https://www.github.com/googleapis/python-speech/commit/e75ada858d00b22fbae6d0de40771239d2f71756))
-
-## [2.9.0](https://www.github.com/googleapis/python-speech/compare/v2.8.0...v2.9.0) (2021-09-20)
-
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-### Features
-
-* add output_config request field ([#252](https://www.github.com/googleapis/python-speech/issues/252)) ([b9f856e](https://www.github.com/googleapis/python-speech/commit/b9f856e93cbb926e9531639a9bb50c654ff1033e))
-
-
-### Documentation
-
-* **samples:** fixed model adaptation sample to correctly refer to custom classes ([#246](https://www.github.com/googleapis/python-speech/issues/246)) ([5fa2433](https://www.github.com/googleapis/python-speech/commit/5fa243358ec5688a40ef0d5abf3802acfa931ea7))
-
-## [2.8.0](https://www.github.com/googleapis/python-speech/compare/v2.7.0...v2.8.0) (2021-08-19)
-
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-### Features
-
-* Add transcript normalization ([#235](https://www.github.com/googleapis/python-speech/issues/235)) ([f76effc](https://www.github.com/googleapis/python-speech/commit/f76effc3c5477db858571d89c5b52078e85ff94e))
-
-
-### Documentation
-
-* **samples:** remove io dependency in transcribe samples ([#223](https://www.github.com/googleapis/python-speech/issues/223)) ([928ca3a](https://www.github.com/googleapis/python-speech/commit/928ca3aeb8f8665dedfa7663c56ee3bb464481cd))
-
-## [2.7.0](https://www.github.com/googleapis/python-speech/compare/v2.6.0...v2.7.0) (2021-08-10)
-
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-### Features
-
-* add total_billed_time response field ([#224](https://www.github.com/googleapis/python-speech/issues/224)) ([07b5203](https://www.github.com/googleapis/python-speech/commit/07b5203a15a186aab537442a4f4a4071aab3046f))
-
-## [2.6.0](https://www.github.com/googleapis/python-speech/compare/v2.5.1...v2.6.0) (2021-07-28)
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-### Features
-
-* **v1p1beta1:** add total_billed_time response field ([#219](https://www.github.com/googleapis/python-speech/issues/219)) ([e7efa67](https://www.github.com/googleapis/python-speech/commit/e7efa6790111861084ff5a98a262432c04834dec))
-
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-### Bug Fixes
-
-* enable self signed jwt for grpc ([#217](https://www.github.com/googleapis/python-speech/issues/217)) ([f43812c](https://www.github.com/googleapis/python-speech/commit/f43812ca164dd2b45ec4a73339291fa458be6be9))
-* **v1p1beta1:** custom_class_id is required field in CreateCustomClassRequest. ([e7efa67](https://www.github.com/googleapis/python-speech/commit/e7efa6790111861084ff5a98a262432c04834dec))
-* **v1p1beta1:** phrase_set_id is required field in CreatePhraseSetRequest ([e7efa67](https://www.github.com/googleapis/python-speech/commit/e7efa6790111861084ff5a98a262432c04834dec))
-
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-### Documentation
-
-* **samples:** Add Spoken Punctuation and Emojis code samples ([#155](https://www.github.com/googleapis/python-speech/issues/155)) ([cc6b234](https://www.github.com/googleapis/python-speech/commit/cc6b2341cde1fec270afd500c8c5fe2b9023b346))
-* add Samples section to CONTRIBUTING.rst ([#211](https://www.github.com/googleapis/python-speech/issues/211)) ([4b7e4c4](https://www.github.com/googleapis/python-speech/commit/4b7e4c46b57585f5db4adceca6ba5717d02ebb64))
-
-## [2.5.1](https://www.github.com/googleapis/python-speech/compare/v2.5.0...v2.5.1) (2021-07-21)
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-### Bug Fixes
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-* **deps:** pin 'google-{api,cloud}-core', 'google-auth' to allow 2.x versions ([#210](https://www.github.com/googleapis/python-speech/issues/210)) ([44d3f5b](https://www.github.com/googleapis/python-speech/commit/44d3f5b221955f196c41f9fdb74f2dbc0ea1c83d))
-
-## [2.5.0](https://www.github.com/googleapis/python-speech/compare/v2.4.1...v2.5.0) (2021-07-01)
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-### Features
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-* add always_use_jwt_access ([#191](https://www.github.com/googleapis/python-speech/issues/191)) ([0d84445](https://www.github.com/googleapis/python-speech/commit/0d8444543138f45445fc7995eccd5655376e0bfc))
-
-## [2.4.1](https://www.github.com/googleapis/python-speech/compare/v2.4.0...v2.4.1) (2021-06-21)
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-### Documentation
-
-* omit mention of Python 2.7 in 'CONTRIBUTING.rst' ([#1127](https://www.github.com/googleapis/python-speech/issues/1127)) ([#178](https://www.github.com/googleapis/python-speech/issues/178)) ([77d8d0e](https://www.github.com/googleapis/python-speech/commit/77d8d0ebc9924f965b86d3196e73170f875dd06f)), closes [#1126](https://www.github.com/googleapis/python-speech/issues/1126)
-
-## [2.4.0](https://www.github.com/googleapis/python-speech/compare/v2.3.0...v2.4.0) (2021-05-22)
-
-
-### Features
-
-* add webm opus support ([eb360ae](https://www.github.com/googleapis/python-speech/commit/eb360aefdac09648852a073ef0837dc7c7b18679))
-* support self-signed JWT flow for service accounts ([eb360ae](https://www.github.com/googleapis/python-speech/commit/eb360aefdac09648852a073ef0837dc7c7b18679))
-
-
-### Bug Fixes
-
-* add async client to %name_%version/init.py ([eb360ae](https://www.github.com/googleapis/python-speech/commit/eb360aefdac09648852a073ef0837dc7c7b18679))
-
-## [2.3.0](https://www.github.com/googleapis/python-speech/compare/v2.2.1...v2.3.0) (2021-04-08)
-
-
-### Features
-
-* Support for spoken punctuation and spoken emojis ([#143](https://www.github.com/googleapis/python-speech/issues/143)) ([b6bddbe](https://www.github.com/googleapis/python-speech/commit/b6bddbe46172debd962c3d8e566a7c410fb4f279))
-
-## [2.2.1](https://www.github.com/googleapis/python-speech/compare/v2.2.0...v2.2.1) (2021-03-31)
-
-
-### Bug Fixes
-
-* use correct retry deadline ([#134](https://www.github.com/googleapis/python-speech/issues/134)) ([07a30a1](https://www.github.com/googleapis/python-speech/commit/07a30a18ab4e38cca46af905cfd4221ce06daeb3))
-
-## [2.2.0](https://www.github.com/googleapis/python-speech/compare/v2.1.0...v2.2.0) (2021-03-19)
-
-
-### Features
-
-* adds model adaptation sample ([#121](https://www.github.com/googleapis/python-speech/issues/121)) ([24b9424](https://www.github.com/googleapis/python-speech/commit/24b94247bab22b8fad15a251bff06ec8620f0f90))
-* Support output transcript to Google Cloud Storage for LongRunningRecognize ([#128](https://www.github.com/googleapis/python-speech/issues/128)) ([5974564](https://www.github.com/googleapis/python-speech/commit/59745644b08328c883e71d53f3fcc5537644e3c7))
-
-## [2.1.0](https://www.github.com/googleapis/python-speech/compare/v2.0.1...v2.1.0) (2021-02-26)
-
-
-### Features
-
-* add common resource helpers; expose transport; remove gRPC send/recv limits ([#100](https://www.github.com/googleapis/python-speech/issues/100)) ([b4700a6](https://www.github.com/googleapis/python-speech/commit/b4700a60569cb917f176ae1f504dadac1edb6ae8))
-* add from_service_account_info factory ([3bed0b4](https://www.github.com/googleapis/python-speech/commit/3bed0b43c75be649e29475240c7f486fc9cd63dc))
-* adds new multi region sample ([#96](https://www.github.com/googleapis/python-speech/issues/96)) ([a103f09](https://www.github.com/googleapis/python-speech/commit/a103f09fe6173f3acd8402f8c2a669ea3001ac6f))
-* **v1p1beta1:** support Model Adaptation ([#104](https://www.github.com/googleapis/python-speech/issues/104)) ([3bed0b4](https://www.github.com/googleapis/python-speech/commit/3bed0b43c75be649e29475240c7f486fc9cd63dc))
-
-
-### Bug Fixes
-
-* Remove incorrect comment on enhanced models ([#95](https://www.github.com/googleapis/python-speech/issues/95)) ([8a02cee](https://www.github.com/googleapis/python-speech/commit/8a02ceeb5723b4d5075ab90bf64edefae9b81572))
-
-
-### Documentation
-
-* fix sphinx identifiers ([3bed0b4](https://www.github.com/googleapis/python-speech/commit/3bed0b43c75be649e29475240c7f486fc9cd63dc))
-* updated setup documentation to point to python-speech instead of python-docs-samples ([#89](https://www.github.com/googleapis/python-speech/issues/89)) ([722e86e](https://www.github.com/googleapis/python-speech/commit/722e86e726831f7e44dbc8f0fb620a1ccd45f116))
-
-## [2.0.1](https://www.github.com/googleapis/python-speech/compare/v2.0.0...v2.0.1) (2020-11-16)
-
-
-### Bug Fixes
-
-* deleted a line duplicating the call to the recognizer  ([#83](https://www.github.com/googleapis/python-speech/issues/83)) ([3ef6ce5](https://www.github.com/googleapis/python-speech/commit/3ef6ce5796126847acf231f67e2a2c9b52e27f5a))
-* migrated samples to speech 2.0.0 ([#78](https://www.github.com/googleapis/python-speech/issues/78)) ([47dd992](https://www.github.com/googleapis/python-speech/commit/47dd99237d79f7e7b991f6a15733c6e04b00f563))
-
-## [2.0.0](https://www.github.com/googleapis/python-speech/compare/v1.3.2...v2.0.0) (2020-09-24)
-
-
-### ⚠ BREAKING CHANGES
-
-* migrate to microgenerator (#61)
-
-### Features
-
-* Migrate to microgenerator ([#61](https://www.github.com/googleapis/python-speech/issues/61)) ([283b49d](https://www.github.com/googleapis/python-speech/commit/283b49d2cb34dcfcbd12038582ca3ed37e5ab90b)). See the [migration guide](https://github.com/googleapis/python-speech/blob/release-v2.0.0/UPGRADING.md) for details.
-
-
-### Documentation
-
-* remove example usage from READMe ([#46](https://www.github.com/googleapis/python-speech/issues/46)) ([4214630](https://www.github.com/googleapis/python-speech/commit/4214630c3318e6c9bc0a5156e20344956faf7d52))
-
-## [1.3.2](https://www.github.com/googleapis/python-speech/compare/v1.3.1...v1.3.2) (2020-02-03)
-
-
-### Bug Fixes
-
-* **speech:** increase default timeout for v1p1beta1 (via synth) ([#9999](https://www.github.com/googleapis/python-speech/issues/9999)) ([e9b4919](https://www.github.com/googleapis/python-speech/commit/e9b4919f493a9206406944093fc1c3408b5f0265))
-* **speech:** increase timeout values in client config (via synth) ([#9922](https://www.github.com/googleapis/python-speech/issues/9922)) ([8d34bea](https://www.github.com/googleapis/python-speech/commit/8d34beab73273e1b0965fe622af5434fdbac01ca))
-* **speech:** mark `Recognize` idempotent (via synth) ([#9874](https://www.github.com/googleapis/python-speech/issues/9874)) ([a69e08c](https://www.github.com/googleapis/python-speech/commit/a69e08ce0bafcd9c4f1bafe51dce6e6b4716994f))
-* **speech:** move 'speaker_tag' field from 'SpeakerDiarizationConfig' to 'WordInfo' (via synth) ([#9576](https://www.github.com/googleapis/python-speech/issues/9576)) ([2ba5ab9](https://www.github.com/googleapis/python-speech/commit/2ba5ab969e09df5cafcf67861c9d7d6cc91bd0ca))
-* **speech:** re-add unused speaker_tag; update spacing in docs templates (via synth) ([#9765](https://www.github.com/googleapis/python-speech/issues/9765)) ([e1c5a54](https://www.github.com/googleapis/python-speech/commit/e1c5a54a321f5e76f074f8be1f5b6d5aedd612c7))
-
-## 1.3.1
-
-12-06-2019 13:05 PST
-
-### Implementation Changes
-- Increase timeout values in client config (via synth). ([#9922](https://github.com/googleapis/google-cloud-python/pull/9922))
-
-## 1.3.0
-
-11-21-2019 14:03 PST
-
-
-### Implementation Changes
-- Mark `Recognize` as idempotent (via synth). ([#9874](https://github.com/googleapis/google-cloud-python/pull/9874))
-- Re-add unused `speaker_tag`; update spacing in docs templates (via synth). ([#9765](https://github.com/googleapis/google-cloud-python/pull/9765))
-- Move `speaker_tag` field from `SpeakerDiarizationConfig` to `WordInfo` (via synth). ([#9576](https://github.com/googleapis/google-cloud-python/pull/9576))
-- Remove send/recv msg size limit (via synth). ([#8969](https://github.com/googleapis/google-cloud-python/pull/8969))
-
-### New Features
-- Add speaker diarization configuration support (via synth). ([#9202](https://github.com/googleapis/google-cloud-python/pull/9202))
-- Add `SpeakerDiarizationConfig`, deprecate enable_speaker_diarization and diarization_speaker_count (via synth). ([#8795](https://github.com/googleapis/google-cloud-python/pull/8795))
-
-### Documentation
-- Add python 2 sunset banner to documentation. ([#9036](https://github.com/googleapis/google-cloud-python/pull/9036))
-- Reorder samples. ([#9313](https://github.com/googleapis/google-cloud-python/pull/9313))
-- Update docstrings (via synth). ([#9292](https://github.com/googleapis/google-cloud-python/pull/9292))
-- Fix intersphinx reference to requests. ([#9294](https://github.com/googleapis/google-cloud-python/pull/9294))
-- Add generated code samples. ([#9153](https://github.com/googleapis/google-cloud-python/pull/9153))
-- Remove CI for gh-pages, use googleapis.dev for `api_core` refs. ([#9085](https://github.com/googleapis/google-cloud-python/pull/9085))
-- Remove compatibility badges from READMEs. ([#9035](https://github.com/googleapis/google-cloud-python/pull/9035))
-- Update intersphinx mapping for requests. ([#8805](https://github.com/googleapis/google-cloud-python/pull/8805))
-
-### Internal / Testing Changes
-- Add v1p1beta1 systests for longrunning / streaming recognize. ([#9287](https://github.com/googleapis/google-cloud-python/pull/9287))
-- Add v1 systests for longrunning / streaming recognize. ([#9285](https://github.com/googleapis/google-cloud-python/pull/9285))
-- Update samples manifest (via synth). ([#9211](https://github.com/googleapis/google-cloud-python/pull/9211))
-
-## 1.2.0
-
-07-24-2019 17:35 PDT
-
-### New Features
-- Add 'client_options' support (via synth). ([#8534](https://github.com/googleapis/google-cloud-python/pull/8534))
-
-### Dependencies
-- Bump minimum version for google-api-core to 1.14.0. ([#8709](https://github.com/googleapis/google-cloud-python/pull/8709))
-- Pin black version (via synth). ([#8596](https://github.com/googleapis/google-cloud-python/pull/8596))
-
-### Documentation
-- Link to googleapis.dev documentation in READMEs. ([#8705](https://github.com/googleapis/google-cloud-python/pull/8705))
-- Add compatibility check badges to READMEs. ([#8288](https://github.com/googleapis/google-cloud-python/pull/8288))
-
-## 1.1.0
-
-06-27-2019 16:55 PDT
-
-### Implementation Changes
-- Allow kwargs to be passed to 'create_channel' (via synth). ([#8428](https://github.com/googleapis/google-cloud-python/pull/8428))
-- Remove classifier for Python 3.4 for end-of-life. ([#7535](https://github.com/googleapis/google-cloud-python/pull/7535))
-
-### New Features
-- Increase speech max received msg size to 256 MiB ([#8338](https://github.com/googleapis/google-cloud-python/pull/8338))
-- Add MP3 to Audio Encoding and add boost to Speech Context (via synth). ([#8109](https://github.com/googleapis/google-cloud-python/pull/8109))
-- Add Recognition Metadata (via synth). ([#7961](https://github.com/googleapis/google-cloud-python/pull/7961))
-
-### Documentation
-- Update to show 'google-cloud-speech' is GA. ([#8453](https://github.com/googleapis/google-cloud-python/pull/8453))
-- Tweak 'SpeechContext' docstring (via synth). ([#8223](https://github.com/googleapis/google-cloud-python/pull/8223))
-
-### Internal / Testing Changes
-- All: Add docs job to publish to googleapis.dev. ([#8464](https://github.com/googleapis/google-cloud-python/pull/8464))
-- (Re)-blacken (via synth). ([#8446](https://github.com/googleapis/google-cloud-python/pull/8446))
-- Add disclaimer to auto-generated template files (via synth).  ([#8328](https://github.com/googleapis/google-cloud-python/pull/8328))
-- Suppress checking 'cov-fail-under' in nox default session (via synth).  ([#8252](https://github.com/googleapis/google-cloud-python/pull/8252))
-- Fix coverage in 'types.py' (via synth). ([#8164](https://github.com/googleapis/google-cloud-python/pull/8164))
-- Blacken noxfile.py, setup.py (via synth). ([#8132](https://github.com/googleapis/google-cloud-python/pull/8132))
-- Add empty lines. ([#8072](https://github.com/googleapis/google-cloud-python/pull/8072))
-- Update noxfile (via synth). ([#7836](https://github.com/googleapis/google-cloud-python/pull/7836))
-- Add nox session `docs` (via synth). ([#7782](https://github.com/googleapis/google-cloud-python/pull/7782))
-
-## 1.0.0
-
-03-18-2019 08:05 PDT
-
-
-### Implementation Changes
-- Remove unused message exports. ([#7275](https://github.com/googleapis/google-cloud-python/pull/7275))
-
-### New Features
-- Promote google-cloud-speech to GA ([#7525](https://github.com/googleapis/google-cloud-python/pull/7525))
-
-### Documentation
-- Updated client library documentation URLs. ([#7307](https://github.com/googleapis/google-cloud-python/pull/7307))
-
-### Internal / Testing Changes
-- Speech: copy lintified proto files (via synth).
-- Add clarifying comment to blacken nox target. ([#7404](https://github.com/googleapis/google-cloud-python/pull/7404))
-- Copy proto files alongside protoc versions. Remove unneeded utf-8 header.
-
-## 0.36.3
-
-01-31-2019 09:57 PST
-
-
-### New Features
-- Add 'RecognitionConfig.audio_channel_count' field via synth. ([#7240](https://github.com/googleapis/google-cloud-python/pull/7240))
-
-### Documentation
-- Modify file headers. ([#7158](https://github.com/googleapis/google-cloud-python/pull/7158))
-
-### Internal / Testing Changes
-- Add protos as an artifact to library ([#7205](https://github.com/googleapis/google-cloud-python/pull/7205))
-
-## 0.36.2
-
-01-10-2019 15:36 PST
-
-### Implementation Changes
-- Protoc-generated serialization update. ([#7106](https://github.com/googleapis/google-cloud-python/pull/7106))
-
-### Documentation
-- Regenerate speech to change quote chars in docstr.
-- Pick up stub docstring fix in GAPIC generator. ([#6982](https://github.com/googleapis/google-cloud-python/pull/6982))
-
-## 0.36.1
-
-12-18-2018 09:46 PST
-
-
-### Implementation Changes
-- Import `iam.policy` from `google.api_core`. ([#6741](https://github.com/googleapis/google-cloud-python/pull/6741))
-- Pick up fixes to GAIPC generator. ([#6508](https://github.com/googleapis/google-cloud-python/pull/6508))
-- Add `result_end_time`, docstring changes via synth. ([#6462](https://github.com/googleapis/google-cloud-python/pull/6462))
-- Assorted synth fixups / cleanups ([#6400](https://github.com/googleapis/google-cloud-python/pull/6400))
-- Fix `client_info` bug, update docstrings and timeouts. ([#6421](https://github.com/googleapis/google-cloud-python/pull/6421))
-- Re-generate library using speech/synth.py ([#5979](https://github.com/googleapis/google-cloud-python/pull/5979))
-
-### Dependencies
-- Bump minimum `api_core` version for all GAPIC libs to 1.4.1. ([#6391](https://github.com/googleapis/google-cloud-python/pull/6391))
-
-### Documentation
-- Document Python 2 deprecation ([#6910](https://github.com/googleapis/google-cloud-python/pull/6910))
-- Clarify passed arguments in speech examples. ([#6857](https://github.com/googleapis/google-cloud-python/pull/6857))
-- Docs: normalize use of support level badges ([#6159](https://github.com/googleapis/google-cloud-python/pull/6159))
-- Fix client library URL. ([#6052](https://github.com/googleapis/google-cloud-python/pull/6052))
-- Prep docs for repo split. ([#6017](https://github.com/googleapis/google-cloud-python/pull/6017))
-
-### Internal / Testing Changes
-- Synth.metadata. ([#6868](https://github.com/googleapis/google-cloud-python/pull/6868))
-- Update noxfile.
-- Blacken all gen'd libs ([#6792](https://github.com/googleapis/google-cloud-python/pull/6792))
-- Omit local deps ([#6701](https://github.com/googleapis/google-cloud-python/pull/6701))
-- Run black at end of synth.py ([#6698](https://github.com/googleapis/google-cloud-python/pull/6698))
-- Run Black on Generated libraries ([#6666](https://github.com/googleapis/google-cloud-python/pull/6666))
-- Add templates for flake8, coveragerc, noxfile, and black. ([#6642](https://github.com/googleapis/google-cloud-python/pull/6642))
-- Add / fix badges for PyPI / versions. ([#6158](https://github.com/googleapis/google-cloud-python/pull/6158))
-- Use new Nox ([#6175](https://github.com/googleapis/google-cloud-python/pull/6175))
-
-## 0.36.0
-
-### New Features
-
-- Re-generate the library to pick up changes and new features in the underlying API. ([#5915](https://github.com/GoogleCloudPlatform/google-cloud-python/pull/5915))
-
-### Documentation
-
-- Fix broken links to description of 'Beta' ([#5917](https://github.com/GoogleCloudPlatform/google-cloud-python/pull/5917))
-- Replace links to '/stable/' with '/latest/'. ([#5901](https://github.com/GoogleCloudPlatform/google-cloud-python/pull/5901))
-
-## 0.35.0
-
-### Implementation Changes
-
-- Re-generated the library to pick up new API features. (#5577)
-
-### Internal / Testing Changes
-
-- Add Test runs for Python 3.7 and remove 3.4 (#5295)
-- Avoid overwriting '__module__' of messages from shared modules. (#5364)
-- Modify system tests to use prerelease versions of grpcio (#5304)
-
-## 0.34.0
-
-### Implementation Changes
-- Regenerate GAPIC to account for the removal of GoogleDataCollectionConfig and google_data_collection_opt_in  (#5235)
-
-## 0.33.0
-
-### New Features
-
-- Add Audio Logging and Recognition Metadata. (#5123)
-
-### Internal / Testing Changes
-
-- Fix bad trove classifier
-
-## 0.32.1
-
-### Dependencies
-
-- Update dependency range for api-core to include v1.0.0 releases (#4944)
-
-### Testing and internal changes
-
-- Install local dependencies when running lint (#4936)
-- Re-enable lint for tests, remove usage of pylint (#4921)
-- Normalize all setup.py files (#4909)
-
-## 0.31.1
-
-### Bugfixes
-
-- Fix speech helpers to properly pass retry and timeout args. (#4828, #4830)
-
-## 0.31.0
-
-This is the (hopefully) final release candidate before 1.0.
-
-### Breaking Changes
-
-- The deprecated Speech layer (deprecated since 0.27.0) has been removed. If you are still using  it, the [migration guide](https://cloud.google.com/speech/docs/python-client-migration) is still available.
-- The following changes are _technically_ breaking but very unlikely to affect you directly:
-  * `google.cloud.gapic.speech.v1` moved to `google.cloud.speech_v1.gapic`, in accordance with more recent clients.
-  * `google.cloud.proto.speech.v1` moved to `google.cloud.speech_v1.proto`, in accordance with more recent clients.
-
-### Dependencies
-
-  * Removed dependency on `google-gax`.
-  * Added dependency on `google-api-core`, its replacement.
-
-## 0.30.0
-
-### Documentation
-
-- Added link to "Python Development Environment Setup Guide" in
-  project README (#4187, h/t to @michaelawyu)
-
-### Dependencies
-
-- Upgrading to `google-cloud-core >= 0.28.0` and adding dependency
-  on `google-api-core` (#4221, #4280)
-- Deferring to `google-api-core` for `grpcio` and
-  `googleapis-common-protos`dependencies (#4096, #4098)
-
-PyPI: https://pypi.org/project/google-cloud-speech/0.30.0/
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
deleted file mode 100644
index 039f4368..00000000
--- a/CODE_OF_CONDUCT.md
+++ /dev/null
@@ -1,95 +0,0 @@
-<!-- # Generated by synthtool. DO NOT EDIT! !-->
-# Code of Conduct
-
-## Our Pledge
-
-In the interest of fostering an open and welcoming environment, we as
-contributors and maintainers pledge to making participation in our project and
-our community a harassment-free experience for everyone, regardless of age, body
-size, disability, ethnicity, gender identity and expression, level of
-experience, education, socio-economic status, nationality, personal appearance,
-race, religion, or sexual identity and orientation.
-
-## Our Standards
-
-Examples of behavior that contributes to creating a positive environment
-include:
-
-*   Using welcoming and inclusive language
-*   Being respectful of differing viewpoints and experiences
-*   Gracefully accepting constructive criticism
-*   Focusing on what is best for the community
-*   Showing empathy towards other community members
-
-Examples of unacceptable behavior by participants include:
-
-*   The use of sexualized language or imagery and unwelcome sexual attention or
-    advances
-*   Trolling, insulting/derogatory comments, and personal or political attacks
-*   Public or private harassment
-*   Publishing others' private information, such as a physical or electronic
-    address, without explicit permission
-*   Other conduct which could reasonably be considered inappropriate in a
-    professional setting
-
-## Our Responsibilities
-
-Project maintainers are responsible for clarifying the standards of acceptable
-behavior and are expected to take appropriate and fair corrective action in
-response to any instances of unacceptable behavior.
-
-Project maintainers have the right and responsibility to remove, edit, or reject
-comments, commits, code, wiki edits, issues, and other contributions that are
-not aligned to this Code of Conduct, or to ban temporarily or permanently any
-contributor for other behaviors that they deem inappropriate, threatening,
-offensive, or harmful.
-
-## Scope
-
-This Code of Conduct applies both within project spaces and in public spaces
-when an individual is representing the project or its community. Examples of
-representing a project or community include using an official project e-mail
-address, posting via an official social media account, or acting as an appointed
-representative at an online or offline event. Representation of a project may be
-further defined and clarified by project maintainers.
-
-This Code of Conduct also applies outside the project spaces when the Project
-Steward has a reasonable belief that an individual's behavior may have a
-negative impact on the project or its community.
-
-## Conflict Resolution
-
-We do not believe that all conflict is bad; healthy debate and disagreement
-often yield positive results. However, it is never okay to be disrespectful or
-to engage in behavior that violates the project’s code of conduct.
-
-If you see someone violating the code of conduct, you are encouraged to address
-the behavior directly with those involved. Many issues can be resolved quickly
-and easily, and this gives people more control over the outcome of their
-dispute. If you are unable to resolve the matter for any reason, or if the
-behavior is threatening or harassing, report it. We are dedicated to providing
-an environment where participants feel welcome and safe.
-
-
-Reports should be directed to *googleapis-stewards@google.com*, the
-Project Steward(s) for *Google Cloud Client Libraries*. It is the Project Steward’s duty to
-receive and address reported violations of the code of conduct. They will then
-work with a committee consisting of representatives from the Open Source
-Programs Office and the Google Open Source Strategy team. If for any reason you
-are uncomfortable reaching out to the Project Steward, please email
-opensource@google.com.
-
-We will investigate every complaint, but you may not receive a direct response.
-We will use our discretion in determining when and how to follow up on reported
-incidents, which may range from not taking action to permanent expulsion from
-the project and project-sponsored spaces. We will notify the accused of the
-report and provide them an opportunity to discuss it before any action is taken.
-The identity of the reporter will be omitted from the details of the report
-supplied to the accused. In potentially harmful situations, such as ongoing
-harassment or threats to anyone's safety, we may take action without notice.
-
-## Attribution
-
-This Code of Conduct is adapted from the Contributor Covenant, version 1.4,
-available at
-https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
\ No newline at end of file
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
deleted file mode 100644
index 62029d07..00000000
--- a/CONTRIBUTING.rst
+++ /dev/null
@@ -1,281 +0,0 @@
-.. Generated by synthtool. DO NOT EDIT!
-############
-Contributing
-############
-
-#. **Please sign one of the contributor license agreements below.**
-#. Fork the repo, develop and test your code changes, add docs.
-#. Make sure that your commit messages clearly describe the changes.
-#. Send a pull request. (Please Read: `Faster Pull Request Reviews`_)
-
-.. _Faster Pull Request Reviews: https://github.com/kubernetes/community/blob/master/contributors/guide/pull-requests.md#best-practices-for-faster-reviews
-
-.. contents:: Here are some guidelines for hacking on the Google Cloud Client libraries.
-
-***************
-Adding Features
-***************
-
-In order to add a feature:
-
-- The feature must be documented in both the API and narrative
-  documentation.
-
-- The feature must work fully on the following CPython versions:
-  3.7, 3.8, 3.9, 3.10 and 3.11 on both UNIX and Windows.
-
-- The feature must not add unnecessary dependencies (where
-  "unnecessary" is of course subjective, but new dependencies should
-  be discussed).
-
-****************************
-Using a Development Checkout
-****************************
-
-You'll have to create a development environment using a Git checkout:
-
-- While logged into your GitHub account, navigate to the
-  ``python-speech`` `repo`_ on GitHub.
-
-- Fork and clone the ``python-speech`` repository to your GitHub account by
-  clicking the "Fork" button.
-
-- Clone your fork of ``python-speech`` from your GitHub account to your local
-  computer, substituting your account username and specifying the destination
-  as ``hack-on-python-speech``.  E.g.::
-
-   $ cd ${HOME}
-   $ git clone git@github.com:USERNAME/python-speech.git hack-on-python-speech
-   $ cd hack-on-python-speech
-   # Configure remotes such that you can pull changes from the googleapis/python-speech
-   # repository into your local repository.
-   $ git remote add upstream git@github.com:googleapis/python-speech.git
-   # fetch and merge changes from upstream into main
-   $ git fetch upstream
-   $ git merge upstream/main
-
-Now your local repo is set up such that you will push changes to your GitHub
-repo, from which you can submit a pull request.
-
-To work on the codebase and run the tests, we recommend using ``nox``,
-but you can also use a ``virtualenv`` of your own creation.
-
-.. _repo: https://github.com/googleapis/python-speech
-
-Using ``nox``
-=============
-
-We use `nox <https://nox.readthedocs.io/en/latest/>`__ to instrument our tests.
-
-- To test your changes, run unit tests with ``nox``::
-    $ nox -s unit
-
-- To run a single unit test::
-
-    $ nox -s unit-3.11 -- -k <name of test>
-
-
-  .. note::
-
-    The unit tests and system tests are described in the
-    ``noxfile.py`` files in each directory.
-
-.. nox: https://pypi.org/project/nox/
-
-*****************************************
-I'm getting weird errors... Can you help?
-*****************************************
-
-If the error mentions ``Python.h`` not being found,
-install ``python-dev`` and try again.
-On Debian/Ubuntu::
-
-  $ sudo apt-get install python-dev
-
-************
-Coding Style
-************
-- We use the automatic code formatter ``black``. You can run it using
-  the nox session ``blacken``. This will eliminate many lint errors. Run via::
-
-   $ nox -s blacken
-
-- PEP8 compliance is required, with exceptions defined in the linter configuration.
-  If you have ``nox`` installed, you can test that you have not introduced
-  any non-compliant code via::
-
-   $ nox -s lint
-
-- In order to make ``nox -s lint`` run faster, you can set some environment
-  variables::
-
-   export GOOGLE_CLOUD_TESTING_REMOTE="upstream"
-   export GOOGLE_CLOUD_TESTING_BRANCH="main"
-
-  By doing this, you are specifying the location of the most up-to-date
-  version of ``python-speech``. The
-  remote name ``upstream`` should point to the official ``googleapis``
-  checkout and the branch should be the default branch on that remote (``main``).
-
-- This repository contains configuration for the
-  `pre-commit <https://pre-commit.com/>`__ tool, which automates checking
-  our linters during a commit.  If you have it installed on your ``$PATH``,
-  you can enable enforcing those checks via:
-
-.. code-block:: bash
-
-   $ pre-commit install
-   pre-commit installed at .git/hooks/pre-commit
-
-Exceptions to PEP8:
-
-- Many unit tests use a helper method, ``_call_fut`` ("FUT" is short for
-  "Function-Under-Test"), which is PEP8-incompliant, but more readable.
-  Some also use a local variable, ``MUT`` (short for "Module-Under-Test").
-
-********************
-Running System Tests
-********************
-
-- To run system tests, you can execute::
-
-   # Run all system tests
-   $ nox -s system
-
-   # Run a single system test
-   $ nox -s system-3.8 -- -k <name of test>
-
-
-  .. note::
-
-      System tests are only configured to run under Python 3.8.
-      For expediency, we do not run them in older versions of Python 3.
-
-  This alone will not run the tests. You'll need to change some local
-  auth settings and change some configuration in your project to
-  run all the tests.
-
-- System tests will be run against an actual project. You should use local credentials from gcloud when possible. See `Best practices for application authentication <https://cloud.google.com/docs/authentication/best-practices-applications#local_development_and_testing_with_the>`__. Some tests require a service account. For those tests see `Authenticating as a service account <https://cloud.google.com/docs/authentication/production>`__.
-
-*************
-Test Coverage
-*************
-
-- The codebase *must* have 100% test statement coverage after each commit.
-  You can test coverage via ``nox -s cover``.
-
-******************************************************
-Documentation Coverage and Building HTML Documentation
-******************************************************
-
-If you fix a bug, and the bug requires an API or behavior modification, all
-documentation in this package which references that API or behavior must be
-changed to reflect the bug fix, ideally in the same commit that fixes the bug
-or adds the feature.
-
-Build the docs via:
-
-   $ nox -s docs
-
-*************************
-Samples and code snippets
-*************************
-
-Code samples and snippets live in the `samples/` catalogue. Feel free to
-provide more examples, but make sure to write tests for those examples.
-Each folder containing example code requires its own `noxfile.py` script
-which automates testing. If you decide to create a new folder, you can
-base it on the `samples/snippets` folder (providing `noxfile.py` and
-the requirements files).
-
-The tests will run against a real Google Cloud Project, so you should
-configure them just like the System Tests.
-
-- To run sample tests, you can execute::
-
-   # Run all tests in a folder
-   $ cd samples/snippets
-   $ nox -s py-3.8
-
-   # Run a single sample test
-   $ cd samples/snippets
-   $ nox -s py-3.8 -- -k <name of test>
-
-********************************************
-Note About ``README`` as it pertains to PyPI
-********************************************
-
-The `description on PyPI`_ for the project comes directly from the
-``README``. Due to the reStructuredText (``rst``) parser used by
-PyPI, relative links which will work on GitHub (e.g. ``CONTRIBUTING.rst``
-instead of
-``https://github.com/googleapis/python-speech/blob/main/CONTRIBUTING.rst``)
-may cause problems creating links or rendering the description.
-
-.. _description on PyPI: https://pypi.org/project/google-cloud-speech
-
-
-*************************
-Supported Python Versions
-*************************
-
-We support:
-
--  `Python 3.7`_
--  `Python 3.8`_
--  `Python 3.9`_
--  `Python 3.10`_
--  `Python 3.11`_
-
-.. _Python 3.7: https://docs.python.org/3.7/
-.. _Python 3.8: https://docs.python.org/3.8/
-.. _Python 3.9: https://docs.python.org/3.9/
-.. _Python 3.10: https://docs.python.org/3.10/
-.. _Python 3.11: https://docs.python.org/3.11/
-
-
-Supported versions can be found in our ``noxfile.py`` `config`_.
-
-.. _config: https://github.com/googleapis/python-speech/blob/main/noxfile.py
-
-
-We also explicitly decided to support Python 3 beginning with version 3.7.
-Reasons for this include:
-
--  Encouraging use of newest versions of Python 3
--  Taking the lead of `prominent`_ open-source `projects`_
--  `Unicode literal support`_ which allows for a cleaner codebase that
-   works in both Python 2 and Python 3
-
-.. _prominent: https://docs.djangoproject.com/en/1.9/faq/install/#what-python-version-can-i-use-with-django
-.. _projects: http://flask.pocoo.org/docs/0.10/python3/
-.. _Unicode literal support: https://www.python.org/dev/peps/pep-0414/
-
-**********
-Versioning
-**********
-
-This library follows `Semantic Versioning`_.
-
-.. _Semantic Versioning: http://semver.org/
-
-Some packages are currently in major version zero (``0.y.z``), which means that
-anything may change at any time and the public API should not be considered
-stable.
-
-******************************
-Contributor License Agreements
-******************************
-
-Before we can accept your pull requests you'll need to sign a Contributor
-License Agreement (CLA):
-
-- **If you are an individual writing original source code** and **you own the
-  intellectual property**, then you'll need to sign an
-  `individual CLA <https://developers.google.com/open-source/cla/individual>`__.
-- **If you work for a company that wants to allow you to contribute your work**,
-  then you'll need to sign a
-  `corporate CLA <https://developers.google.com/open-source/cla/corporate>`__.
-
-You can sign these electronically (just scroll to the bottom). After that,
-we'll be able to accept your pull requests.
diff --git a/MANIFEST.in b/MANIFEST.in
deleted file mode 100644
index e0a66705..00000000
--- a/MANIFEST.in
+++ /dev/null
@@ -1,25 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-include README.rst LICENSE
-recursive-include google *.json *.proto py.typed
-recursive-include tests *
-global-exclude *.py[co]
-global-exclude __pycache__
-
-# Exclude scripts for samples readmegen
-prune scripts/readme-gen
diff --git a/README.rst b/README.rst
index 661a4a46..f92b8bbb 100644
--- a/README.rst
+++ b/README.rst
@@ -1,3 +1,8 @@
+:**NOTE**: **This github repository is archived. The repository contents and history have moved to** `google-cloud-python`_.
+
+.. _google-cloud-python: https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-speech
+
+
 Python Client for Cloud Speech API
 ==================================
 
diff --git a/UPGRADING.md b/UPGRADING.md
deleted file mode 100644
index 666c0e16..00000000
--- a/UPGRADING.md
+++ /dev/null
@@ -1,146 +0,0 @@
-# 2.0.0 Migration Guide
-
-The 2.0 release of the `google-cloud-speech` client is a significant upgrade based on a [next-gen code generator](https://github.com/googleapis/gapic-generator-python), and includes substantial interface changes. Existing code written for earlier versions of this library will likely require updates to use this version. This document describes the changes that have been made, and what you need to do to update your usage.
-
-If you experience issues or have questions, please file an [issue](https://github.com/googleapis/python-speech/issues).
-
-## Supported Python Versions
-
-> **WARNING**: Breaking change
-
-The 2.0.0 release requires Python 3.6+.
-
-
-## Method Calls
-
-> **WARNING**: Breaking change
-
-Methods expect request objects. We provide a script that will convert most common use cases.
-
-* Install the library with the `libcst` extra
-
-```py
-python3 -m pip install google-cloud-speech[libcst]
-```
-
-* The scripts `fixup_speech_v1_keywords.py` and `fixup_speech_v1p1beta1_keywords.py` are shipped with the library. It expects an input directory (with the code to convert) and an empty destination directory.
-
-```sh
-$ fixup_speech_v1_keywords.py --input-directory .samples/ --output-directory samples/
-```
-
-**Before:**
-```py
-from google.cloud import speech
-
-client = speech.SpeechClient()
-
-response = client.recognize(config, audio)
-```
-
-
-**After:**
-```py
-from google.cloud import speech
-
-client = speech.SpeechClient()
-
-request = speech.RecognizeRequest(request={"config": config, "audio": audio})
-response = client.list_voices(request=request)
-```
-
-### More Details
-
-In `google-cloud-speech<2.0.0`, parameters required by the API were positional parameters and optional parameters were keyword parameters.
-
-**Before:**
-```py
-    def recognize(
-        self,
-        config,
-        audio,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-```
-
-In the 2.0.0 release, all methods have a single positional parameter `request`. Method docstrings indicate whether a parameter is required or optional.
-
-Some methods have additional keyword only parameters. The available parameters depend on the [`google.api.method_signature` annotation](https://github.com/googleapis/googleapis/blob/3dbeac0d54125b123c8dfd39c774b37473c36944/google/cloud/speech/v1/cloud_speech.proto#L48) specified by the API producer.
-
-
-**After:**
-```py
-    def recognize(
-        self,
-        request: cloud_speech.RecognizeRequest = None,
-        *,
-        config: cloud_speech.RecognitionConfig = None,
-        audio: cloud_speech.RecognitionAudio = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
-        timeout: float = None,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-```
-
-> **NOTE:** The `request` parameter and flattened keyword parameters for the API are mutually exclusive.
-> Passing both will result in an error.
-
-
-Both of these calls are valid:
-
-```py
-response = client.recognize(
-    request={
-        "config": config,
-        "audio": audio,
-    }
-)
-```
-
-```py
-response = client.recognize(
-    config=config,
-    audio=audio,
-)
-```
-
-This call is invalid because it mixes `request` with a keyword argument `audio_config`. Executing this code
-will result in an error.
-
-```py
-response = client.recognize(
-    request={
-        "config": config,
-    },
-    audio=audio,
-)
-```
-
-
-
-## Enums and Types
-
-
-> **WARNING**: Breaking change
-
-The submodules `enums` and `types` have been removed.
-
-**Before:**
-```py
-
-from google.cloud import speech
-
-encoding = speech.enums.RecognitionConfig.AudioEncoding.LINEAR16
-audio = speech.types.RecognitionAudio(content=content)
-```
-
-
-**After:**
-```py
-from google.cloud import speech
-
-encoding = speech.RecognitionConfig.AudioEncoding.LINEAR16
-audio = speech.RecognitionAudio(content=content)
-```
\ No newline at end of file
diff --git a/docs/README.rst b/docs/README.rst
deleted file mode 120000
index 89a01069..00000000
--- a/docs/README.rst
+++ /dev/null
@@ -1 +0,0 @@
-../README.rst
\ No newline at end of file
diff --git a/docs/UPGRADING.md b/docs/UPGRADING.md
deleted file mode 120000
index 01097c8c..00000000
--- a/docs/UPGRADING.md
+++ /dev/null
@@ -1 +0,0 @@
-../UPGRADING.md
\ No newline at end of file
diff --git a/docs/_static/custom.css b/docs/_static/custom.css
deleted file mode 100644
index b0a29546..00000000
--- a/docs/_static/custom.css
+++ /dev/null
@@ -1,20 +0,0 @@
-div#python2-eol {
-	border-color: red;
-	border-width: medium;
-}
-
-/* Ensure minimum width for 'Parameters' / 'Returns' column */
-dl.field-list > dt {
-    min-width: 100px
-}
-
-/* Insert space between methods for readability */
-dl.method {
-	padding-top: 10px;
-	padding-bottom: 10px
-}
-
-/* Insert empty space between classes */
-dl.class {
-	padding-bottom: 50px
-}
diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html
deleted file mode 100644
index 6316a537..00000000
--- a/docs/_templates/layout.html
+++ /dev/null
@@ -1,50 +0,0 @@
-
-{% extends "!layout.html" %}
-{%- block content %}
-{%- if theme_fixed_sidebar|lower == 'true' %}
-  <div class="document">
-    {{ sidebar() }}
-    {%- block document %}
-      <div class="documentwrapper">
-      {%- if render_sidebar %}
-        <div class="bodywrapper">
-      {%- endif %}
-
-          {%- block relbar_top %}
-            {%- if theme_show_relbar_top|tobool %}
-              <div class="related top">
-                &nbsp;
-                {{- rellink_markup () }}
-              </div>
-            {%- endif %}
-          {% endblock %}
-
-          <div class="body" role="main">
-          	<div class="admonition" id="python2-eol"> 
-          	 As of January 1, 2020 this library no longer supports Python 2 on the latest released version. 
-          	 Library versions released prior to that date will continue to be available. For more information please
-          	 visit <a href="https://cloud.google.com/python/docs/python2-sunset/">Python 2 support on Google Cloud</a>.
-          	</div>
-            {% block body %} {% endblock %}
-          </div>
-
-          {%- block relbar_bottom %}
-            {%- if theme_show_relbar_bottom|tobool %}
-              <div class="related bottom">
-                &nbsp;
-                {{- rellink_markup () }}
-              </div>
-            {%- endif %}
-          {% endblock %}
-
-      {%- if render_sidebar %}
-        </div>
-      {%- endif %}
-      </div>
-    {%- endblock %}
-    <div class="clearer"></div>
-  </div>
-{%- else %}
-{{ super() }}
-{%- endif %}
-{%- endblock %}
diff --git a/docs/changelog.md b/docs/changelog.md
deleted file mode 120000
index 04c99a55..00000000
--- a/docs/changelog.md
+++ /dev/null
@@ -1 +0,0 @@
-../CHANGELOG.md
\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
deleted file mode 100644
index 9f40c757..00000000
--- a/docs/conf.py
+++ /dev/null
@@ -1,384 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# google-cloud-speech documentation build configuration file
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import sys
-import os
-import shlex
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath(".."))
-
-# For plugins that can not read conf.py.
-# See also: https://github.com/docascode/sphinx-docfx-yaml/issues/85
-sys.path.insert(0, os.path.abspath("."))
-
-__version__ = ""
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-needs_sphinx = "1.5.5"
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    "sphinx.ext.autodoc",
-    "sphinx.ext.autosummary",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.coverage",
-    "sphinx.ext.doctest",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.todo",
-    "sphinx.ext.viewcode",
-    "recommonmark",
-]
-
-# autodoc/autosummary flags
-autoclass_content = "both"
-autodoc_default_options = {"members": True}
-autosummary_generate = True
-
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-# source_suffix = ['.rst', '.md']
-source_suffix = [".rst", ".md"]
-
-# The encoding of source files.
-# source_encoding = 'utf-8-sig'
-
-# The root toctree document.
-root_doc = "index"
-
-# General information about the project.
-project = "google-cloud-speech"
-copyright = "2019, Google"
-author = "Google APIs"
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The full version, including alpha/beta/rc tags.
-release = __version__
-# The short X.Y version.
-version = ".".join(release.split(".")[0:2])
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = None
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-# today = ''
-# Else, today_fmt is used as the format for a strftime call.
-# today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = [
-    "_build",
-    "**/.nox/**/*",
-    "samples/AUTHORING_GUIDE.md",
-    "samples/CONTRIBUTING.md",
-    "samples/snippets/README.rst",
-]
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-# default_role = None
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-# add_function_parentheses = True
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-# add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-# show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# A list of ignored prefixes for module index sorting.
-# modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-# keep_warnings = False
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = True
-
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = "alabaster"
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {
-    "description": "Google Cloud Client Libraries for google-cloud-speech",
-    "github_user": "googleapis",
-    "github_repo": "python-speech",
-    "github_banner": True,
-    "font_family": "'Roboto', Georgia, sans",
-    "head_font_family": "'Roboto', Georgia, serif",
-    "code_font_family": "'Roboto Mono', 'Consolas', monospace",
-}
-
-# Add any paths that contain custom themes here, relative to this directory.
-# html_theme_path = []
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-# html_title = None
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-# html_short_title = None
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-# html_logo = None
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-# html_favicon = None
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ["_static"]
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-# html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-# html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-# html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-# html_sidebars = {}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-# html_additional_pages = {}
-
-# If false, no module index is generated.
-# html_domain_indices = True
-
-# If false, no index is generated.
-# html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-# html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-# html_show_sourcelink = True
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-# html_show_sphinx = True
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-# html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-# html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-# html_file_suffix = None
-
-# Language to be used for generating the HTML full-text search index.
-# Sphinx supports the following languages:
-#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
-#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-# html_search_language = 'en'
-
-# A dictionary with options for the search language support, empty by default.
-# Now only 'ja' uses this config value
-# html_search_options = {'type': 'default'}
-
-# The name of a javascript file (relative to the configuration directory) that
-# implements a search results scorer. If empty, the default will be used.
-# html_search_scorer = 'scorer.js'
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "google-cloud-speech-doc"
-
-# -- Options for warnings ------------------------------------------------------
-
-
-suppress_warnings = [
-    # Temporarily suppress this to avoid "more than one target found for
-    # cross-reference" warning, which are intractable for us to avoid while in
-    # a mono-repo.
-    # See https://github.com/sphinx-doc/sphinx/blob
-    # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843
-    "ref.python"
-]
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-    # The paper size ('letterpaper' or 'a4paper').
-    #'papersize': 'letterpaper',
-    # The font size ('10pt', '11pt' or '12pt').
-    #'pointsize': '10pt',
-    # Additional stuff for the LaTeX preamble.
-    #'preamble': '',
-    # Latex figure (float) alignment
-    #'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-latex_documents = [
-    (
-        root_doc,
-        "google-cloud-speech.tex",
-        "google-cloud-speech Documentation",
-        author,
-        "manual",
-    )
-]
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-# latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-# latex_use_parts = False
-
-# If true, show page references after internal links.
-# latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-# latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-# latex_appendices = []
-
-# If false, no module index is generated.
-# latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [
-    (
-        root_doc,
-        "google-cloud-speech",
-        "google-cloud-speech Documentation",
-        [author],
-        1,
-    )
-]
-
-# If true, show URL addresses after external links.
-# man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-    (
-        root_doc,
-        "google-cloud-speech",
-        "google-cloud-speech Documentation",
-        author,
-        "google-cloud-speech",
-        "google-cloud-speech Library",
-        "APIs",
-    )
-]
-
-# Documents to append as an appendix to all manuals.
-# texinfo_appendices = []
-
-# If false, no module index is generated.
-# texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-# texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-# texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "python": ("https://python.readthedocs.org/en/latest/", None),
-    "google-auth": ("https://googleapis.dev/python/google-auth/latest/", None),
-    "google.api_core": (
-        "https://googleapis.dev/python/google-api-core/latest/",
-        None,
-    ),
-    "grpc": ("https://grpc.github.io/grpc/python/", None),
-    "proto-plus": ("https://proto-plus-python.readthedocs.io/en/latest/", None),
-    "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None),
-}
-
-
-# Napoleon settings
-napoleon_google_docstring = True
-napoleon_numpy_docstring = True
-napoleon_include_private_with_doc = False
-napoleon_include_special_with_doc = True
-napoleon_use_admonition_for_examples = False
-napoleon_use_admonition_for_notes = False
-napoleon_use_admonition_for_references = False
-napoleon_use_ivar = False
-napoleon_use_param = True
-napoleon_use_rtype = True
diff --git a/docs/index.rst b/docs/index.rst
deleted file mode 100644
index dab25776..00000000
--- a/docs/index.rst
+++ /dev/null
@@ -1,53 +0,0 @@
-.. include:: README.rst
-
-.. include:: multiprocessing.rst
-
-This package includes clients for multiple versions of Cloud Speech.
-By default, you will get version ``speech_v1``.
-
-
-API Reference
--------------
-.. toctree::
-    :maxdepth: 2
-
-    speech_v1/services_
-    speech_v1/types_
-
-API Reference
--------------
-.. toctree::
-    :maxdepth: 2
-
-    speech_v1p1beta1/services_
-    speech_v1p1beta1/types_
-
-API Reference
--------------
-.. toctree::
-    :maxdepth: 2
-
-    speech_v2/services_
-    speech_v2/types_
-
-
-Migration Guide
----------------
-
-See the guide below for instructions on migrating to the latest version.
-
-.. toctree::
-    :maxdepth: 2
-
-    UPGRADING
-
-
-Changelog
----------
-
-For a list of all ``google-cloud-speech`` releases:
-
-.. toctree::
-    :maxdepth: 2
-
-    changelog
diff --git a/docs/multiprocessing.rst b/docs/multiprocessing.rst
deleted file mode 100644
index 536d17b2..00000000
--- a/docs/multiprocessing.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-.. note::
-
-   Because this client uses :mod:`grpc` library, it is safe to
-   share instances across threads. In multiprocessing scenarios, the best
-   practice is to create client instances *after* the invocation of
-   :func:`os.fork` by :class:`multiprocessing.pool.Pool` or
-   :class:`multiprocessing.Process`.
diff --git a/docs/speech_v1/adaptation.rst b/docs/speech_v1/adaptation.rst
deleted file mode 100644
index b87743e6..00000000
--- a/docs/speech_v1/adaptation.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-Adaptation
-----------------------------
-
-.. automodule:: google.cloud.speech_v1.services.adaptation
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.speech_v1.services.adaptation.pagers
-    :members:
-    :inherited-members:
diff --git a/docs/speech_v1/services_.rst b/docs/speech_v1/services_.rst
deleted file mode 100644
index 9d47b96f..00000000
--- a/docs/speech_v1/services_.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-Services for Google Cloud Speech v1 API
-=======================================
-.. toctree::
-    :maxdepth: 2
-
-    adaptation
-    speech
diff --git a/docs/speech_v1/speech.rst b/docs/speech_v1/speech.rst
deleted file mode 100644
index 53fc9d38..00000000
--- a/docs/speech_v1/speech.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Speech
-------------------------
-
-.. automodule:: google.cloud.speech_v1.services.speech
-    :members:
-    :inherited-members:
diff --git a/docs/speech_v1/types_.rst b/docs/speech_v1/types_.rst
deleted file mode 100644
index 1f28fdd0..00000000
--- a/docs/speech_v1/types_.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Types for Google Cloud Speech v1 API
-====================================
-
-.. automodule:: google.cloud.speech_v1.types
-    :members:
-    :show-inheritance:
diff --git a/docs/speech_v1p1beta1/adaptation.rst b/docs/speech_v1p1beta1/adaptation.rst
deleted file mode 100644
index 7644e3ca..00000000
--- a/docs/speech_v1p1beta1/adaptation.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-Adaptation
-----------------------------
-
-.. automodule:: google.cloud.speech_v1p1beta1.services.adaptation
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.speech_v1p1beta1.services.adaptation.pagers
-    :members:
-    :inherited-members:
diff --git a/docs/speech_v1p1beta1/services_.rst b/docs/speech_v1p1beta1/services_.rst
deleted file mode 100644
index d4982074..00000000
--- a/docs/speech_v1p1beta1/services_.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-Services for Google Cloud Speech v1p1beta1 API
-==============================================
-.. toctree::
-    :maxdepth: 2
-
-    adaptation
-    speech
diff --git a/docs/speech_v1p1beta1/speech.rst b/docs/speech_v1p1beta1/speech.rst
deleted file mode 100644
index bd3e379a..00000000
--- a/docs/speech_v1p1beta1/speech.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Speech
-------------------------
-
-.. automodule:: google.cloud.speech_v1p1beta1.services.speech
-    :members:
-    :inherited-members:
diff --git a/docs/speech_v1p1beta1/types_.rst b/docs/speech_v1p1beta1/types_.rst
deleted file mode 100644
index 96ebe607..00000000
--- a/docs/speech_v1p1beta1/types_.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Types for Google Cloud Speech v1p1beta1 API
-===========================================
-
-.. automodule:: google.cloud.speech_v1p1beta1.types
-    :members:
-    :show-inheritance:
diff --git a/docs/speech_v2/services_.rst b/docs/speech_v2/services_.rst
deleted file mode 100644
index b74a632d..00000000
--- a/docs/speech_v2/services_.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Services for Google Cloud Speech v2 API
-=======================================
-.. toctree::
-    :maxdepth: 2
-
-    speech
diff --git a/docs/speech_v2/speech.rst b/docs/speech_v2/speech.rst
deleted file mode 100644
index 54fe79f4..00000000
--- a/docs/speech_v2/speech.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-Speech
-------------------------
-
-.. automodule:: google.cloud.speech_v2.services.speech
-    :members:
-    :inherited-members:
-
-.. automodule:: google.cloud.speech_v2.services.speech.pagers
-    :members:
-    :inherited-members:
diff --git a/docs/speech_v2/types_.rst b/docs/speech_v2/types_.rst
deleted file mode 100644
index 50b05601..00000000
--- a/docs/speech_v2/types_.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Types for Google Cloud Speech v2 API
-====================================
-
-.. automodule:: google.cloud.speech_v2.types
-    :members:
-    :show-inheritance:
diff --git a/google/cloud/speech/__init__.py b/google/cloud/speech/__init__.py
deleted file mode 100644
index c95cdcdf..00000000
--- a/google/cloud/speech/__init__.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.speech import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from google.cloud.speech_v1.services.adaptation.client import AdaptationClient
-from google.cloud.speech_v1.services.adaptation.async_client import (
-    AdaptationAsyncClient,
-)
-from google.cloud.speech_v1 import SpeechClient
-from google.cloud.speech_v1.services.speech.async_client import SpeechAsyncClient
-
-from google.cloud.speech_v1.types.cloud_speech import LongRunningRecognizeMetadata
-from google.cloud.speech_v1.types.cloud_speech import LongRunningRecognizeRequest
-from google.cloud.speech_v1.types.cloud_speech import LongRunningRecognizeResponse
-from google.cloud.speech_v1.types.cloud_speech import RecognitionAudio
-from google.cloud.speech_v1.types.cloud_speech import RecognitionConfig
-from google.cloud.speech_v1.types.cloud_speech import RecognitionMetadata
-from google.cloud.speech_v1.types.cloud_speech import RecognizeRequest
-from google.cloud.speech_v1.types.cloud_speech import RecognizeResponse
-from google.cloud.speech_v1.types.cloud_speech import SpeakerDiarizationConfig
-from google.cloud.speech_v1.types.cloud_speech import SpeechAdaptationInfo
-from google.cloud.speech_v1.types.cloud_speech import SpeechContext
-from google.cloud.speech_v1.types.cloud_speech import SpeechRecognitionAlternative
-from google.cloud.speech_v1.types.cloud_speech import SpeechRecognitionResult
-from google.cloud.speech_v1.types.cloud_speech import StreamingRecognitionConfig
-from google.cloud.speech_v1.types.cloud_speech import StreamingRecognitionResult
-from google.cloud.speech_v1.types.cloud_speech import StreamingRecognizeRequest
-from google.cloud.speech_v1.types.cloud_speech import StreamingRecognizeResponse
-from google.cloud.speech_v1.types.cloud_speech import TranscriptOutputConfig
-from google.cloud.speech_v1.types.cloud_speech import WordInfo
-from google.cloud.speech_v1.types.cloud_speech_adaptation import (
-    CreateCustomClassRequest,
-)
-from google.cloud.speech_v1.types.cloud_speech_adaptation import CreatePhraseSetRequest
-from google.cloud.speech_v1.types.cloud_speech_adaptation import (
-    DeleteCustomClassRequest,
-)
-from google.cloud.speech_v1.types.cloud_speech_adaptation import DeletePhraseSetRequest
-from google.cloud.speech_v1.types.cloud_speech_adaptation import GetCustomClassRequest
-from google.cloud.speech_v1.types.cloud_speech_adaptation import GetPhraseSetRequest
-from google.cloud.speech_v1.types.cloud_speech_adaptation import (
-    ListCustomClassesRequest,
-)
-from google.cloud.speech_v1.types.cloud_speech_adaptation import (
-    ListCustomClassesResponse,
-)
-from google.cloud.speech_v1.types.cloud_speech_adaptation import ListPhraseSetRequest
-from google.cloud.speech_v1.types.cloud_speech_adaptation import ListPhraseSetResponse
-from google.cloud.speech_v1.types.cloud_speech_adaptation import (
-    UpdateCustomClassRequest,
-)
-from google.cloud.speech_v1.types.cloud_speech_adaptation import UpdatePhraseSetRequest
-from google.cloud.speech_v1.types.resource import CustomClass
-from google.cloud.speech_v1.types.resource import PhraseSet
-from google.cloud.speech_v1.types.resource import SpeechAdaptation
-
-__all__ = (
-    "AdaptationClient",
-    "AdaptationAsyncClient",
-    "SpeechClient",
-    "SpeechAsyncClient",
-    "LongRunningRecognizeMetadata",
-    "LongRunningRecognizeRequest",
-    "LongRunningRecognizeResponse",
-    "RecognitionAudio",
-    "RecognitionConfig",
-    "RecognitionMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptationInfo",
-    "SpeechContext",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "TranscriptOutputConfig",
-    "WordInfo",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetRequest",
-    "ListPhraseSetResponse",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "CustomClass",
-    "PhraseSet",
-    "SpeechAdaptation",
-)
diff --git a/google/cloud/speech/gapic_version.py b/google/cloud/speech/gapic_version.py
deleted file mode 100644
index e71611fa..00000000
--- a/google/cloud/speech/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "2.21.1"  # {x-release-please-version}
diff --git a/google/cloud/speech/py.typed b/google/cloud/speech/py.typed
deleted file mode 100644
index 02081c09..00000000
--- a/google/cloud/speech/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-speech package uses inline types.
diff --git a/google/cloud/speech_v1/__init__.py b/google/cloud/speech_v1/__init__.py
deleted file mode 100644
index 00e64f8c..00000000
--- a/google/cloud/speech_v1/__init__.py
+++ /dev/null
@@ -1,107 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.speech_v1 import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from .services.adaptation import AdaptationClient
-from .services.adaptation import AdaptationAsyncClient
-from .services.speech import SpeechClient
-from .services.speech import SpeechAsyncClient
-
-from .types.cloud_speech import LongRunningRecognizeMetadata
-from .types.cloud_speech import LongRunningRecognizeRequest
-from .types.cloud_speech import LongRunningRecognizeResponse
-from .types.cloud_speech import RecognitionAudio
-from .types.cloud_speech import RecognitionConfig
-from .types.cloud_speech import RecognitionMetadata
-from .types.cloud_speech import RecognizeRequest
-from .types.cloud_speech import RecognizeResponse
-from .types.cloud_speech import SpeakerDiarizationConfig
-from .types.cloud_speech import SpeechAdaptationInfo
-from .types.cloud_speech import SpeechContext
-from .types.cloud_speech import SpeechRecognitionAlternative
-from .types.cloud_speech import SpeechRecognitionResult
-from .types.cloud_speech import StreamingRecognitionConfig
-from .types.cloud_speech import StreamingRecognitionResult
-from .types.cloud_speech import StreamingRecognizeRequest
-from .types.cloud_speech import StreamingRecognizeResponse
-from .types.cloud_speech import TranscriptOutputConfig
-from .types.cloud_speech import WordInfo
-from .types.cloud_speech_adaptation import CreateCustomClassRequest
-from .types.cloud_speech_adaptation import CreatePhraseSetRequest
-from .types.cloud_speech_adaptation import DeleteCustomClassRequest
-from .types.cloud_speech_adaptation import DeletePhraseSetRequest
-from .types.cloud_speech_adaptation import GetCustomClassRequest
-from .types.cloud_speech_adaptation import GetPhraseSetRequest
-from .types.cloud_speech_adaptation import ListCustomClassesRequest
-from .types.cloud_speech_adaptation import ListCustomClassesResponse
-from .types.cloud_speech_adaptation import ListPhraseSetRequest
-from .types.cloud_speech_adaptation import ListPhraseSetResponse
-from .types.cloud_speech_adaptation import UpdateCustomClassRequest
-from .types.cloud_speech_adaptation import UpdatePhraseSetRequest
-from .types.resource import CustomClass
-from .types.resource import PhraseSet
-from .types.resource import SpeechAdaptation
-
-from google.cloud.speech_v1.helpers import SpeechHelpers
-
-
-class SpeechClient(SpeechHelpers, SpeechClient):
-    __doc__ = SpeechClient.__doc__
-
-
-__all__ = (
-    "AdaptationAsyncClient",
-    "SpeechAsyncClient",
-    "AdaptationClient",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "CustomClass",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetRequest",
-    "ListPhraseSetResponse",
-    "LongRunningRecognizeMetadata",
-    "LongRunningRecognizeRequest",
-    "LongRunningRecognizeResponse",
-    "PhraseSet",
-    "RecognitionAudio",
-    "RecognitionConfig",
-    "RecognitionMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptation",
-    "SpeechAdaptationInfo",
-    "SpeechClient",
-    "SpeechContext",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "TranscriptOutputConfig",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "WordInfo",
-)
diff --git a/google/cloud/speech_v1/gapic_metadata.json b/google/cloud/speech_v1/gapic_metadata.json
deleted file mode 100644
index b2de8253..00000000
--- a/google/cloud/speech_v1/gapic_metadata.json
+++ /dev/null
@@ -1,242 +0,0 @@
- {
-  "comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
-  "language": "python",
-  "libraryPackage": "google.cloud.speech_v1",
-  "protoPackage": "google.cloud.speech.v1",
-  "schema": "1.0",
-  "services": {
-    "Adaptation": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "AdaptationClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "AdaptationAsyncClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        },
-        "rest": {
-          "libraryClient": "AdaptationClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "Speech": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "SpeechAsyncClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        },
-        "rest": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        }
-      }
-    }
-  }
-}
diff --git a/google/cloud/speech_v1/gapic_version.py b/google/cloud/speech_v1/gapic_version.py
deleted file mode 100644
index e71611fa..00000000
--- a/google/cloud/speech_v1/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "2.21.1"  # {x-release-please-version}
diff --git a/google/cloud/speech_v1/helpers.py b/google/cloud/speech_v1/helpers.py
deleted file mode 100644
index 3342f36b..00000000
--- a/google/cloud/speech_v1/helpers.py
+++ /dev/null
@@ -1,105 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-
-import google.api_core.gapic_v1.method
-
-
-class SpeechHelpers(object):
-    """A set of convenience methods to make the Speech client easier to use.
-
-    This class should be considered abstract; it is used as a superclass
-    in a multiple-inheritance construction alongside the applicable GAPIC.
-    See the :class:`~google.cloud.speech_v1.SpeechClient`.
-    """
-
-    def streaming_recognize(
-        self,
-        config,
-        requests,
-        *,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=(),
-    ):
-        """Perform bi-directional speech recognition.
-
-        This method allows you to receive results while sending audio;
-        it is only available via. gRPC (not REST).
-
-        .. warning::
-
-            This method is EXPERIMENTAL. Its interface might change in the
-            future.
-
-        Example:
-          >>> from google.cloud import speech_v1
-          >>> client = speech_v1.SpeechClient()
-          >>> config = speech_v1.StreamingRecognitionConfig(
-          ...     config=speech_v1.RecognitionConfig(
-          ...         encoding=speech_v1.RecognitionConfig.AudioEncoding.FLAC,
-          ...     ),
-          ... )
-          >>> request = speech_v1.StreamingRecognizeRequest(audio_content=b'...')
-          >>> requests = [request]
-          >>> for element in client.streaming_recognize(config, requests):
-          ...     # process element
-          ...     pass
-
-        Args:
-            config (:class:`~.types.StreamingRecognitionConfig`): The
-                configuration to use for the stream.
-            requests (Iterable[:class:`~.types.StreamingRecognizeRequest`]):
-                The input objects.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will not
-                be retried.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-          Iterable[:class:`~.types.StreamingRecognizeResponse`]
-
-        Raises:
-          :exc:`ValueError` if the parameters are invalid.
-        """
-        return super(SpeechHelpers, self).streaming_recognize(
-            requests=self._streaming_request_iterable(config, requests),
-            retry=retry,
-            timeout=timeout,
-        )
-
-    def _streaming_request_iterable(self, config, requests):
-        """A generator that yields the config followed by the requests.
-
-        Args:
-            config (~.speech_v1.types.StreamingRecognitionConfig): The
-                configuration to use for the stream.
-            requests (Iterable[~.speech_v1.types.StreamingRecognizeRequest]):
-                The input objects.
-
-        Returns:
-            Iterable[~.speech_v1.types.StreamingRecognizeRequest]): The
-                correctly formatted input for
-                :meth:`~.speech_v1.SpeechClient.streaming_recognize`.
-        """
-        # yield a dictionary rather than the request object since the helper
-        # is used by both the v1 and v1p1beta1
-        yield {"streaming_config": config}
-        for request in requests:
-            yield request
diff --git a/google/cloud/speech_v1/py.typed b/google/cloud/speech_v1/py.typed
deleted file mode 100644
index 02081c09..00000000
--- a/google/cloud/speech_v1/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-speech package uses inline types.
diff --git a/google/cloud/speech_v1/services/__init__.py b/google/cloud/speech_v1/services/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/google/cloud/speech_v1/services/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/google/cloud/speech_v1/services/adaptation/__init__.py b/google/cloud/speech_v1/services/adaptation/__init__.py
deleted file mode 100644
index 2cdb5977..00000000
--- a/google/cloud/speech_v1/services/adaptation/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import AdaptationClient
-from .async_client import AdaptationAsyncClient
-
-__all__ = (
-    "AdaptationClient",
-    "AdaptationAsyncClient",
-)
diff --git a/google/cloud/speech_v1/services/adaptation/async_client.py b/google/cloud/speech_v1/services/adaptation/async_client.py
deleted file mode 100644
index 905c4307..00000000
--- a/google/cloud/speech_v1/services/adaptation/async_client.py
+++ /dev/null
@@ -1,1555 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import functools
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.cloud.speech_v1.services.adaptation import pagers
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from .transports.base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .client import AdaptationClient
-
-
-class AdaptationAsyncClient:
-    """Service that implements Google Cloud Speech Adaptation API."""
-
-    _client: AdaptationClient
-
-    DEFAULT_ENDPOINT = AdaptationClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = AdaptationClient.DEFAULT_MTLS_ENDPOINT
-
-    custom_class_path = staticmethod(AdaptationClient.custom_class_path)
-    parse_custom_class_path = staticmethod(AdaptationClient.parse_custom_class_path)
-    phrase_set_path = staticmethod(AdaptationClient.phrase_set_path)
-    parse_phrase_set_path = staticmethod(AdaptationClient.parse_phrase_set_path)
-    common_billing_account_path = staticmethod(
-        AdaptationClient.common_billing_account_path
-    )
-    parse_common_billing_account_path = staticmethod(
-        AdaptationClient.parse_common_billing_account_path
-    )
-    common_folder_path = staticmethod(AdaptationClient.common_folder_path)
-    parse_common_folder_path = staticmethod(AdaptationClient.parse_common_folder_path)
-    common_organization_path = staticmethod(AdaptationClient.common_organization_path)
-    parse_common_organization_path = staticmethod(
-        AdaptationClient.parse_common_organization_path
-    )
-    common_project_path = staticmethod(AdaptationClient.common_project_path)
-    parse_common_project_path = staticmethod(AdaptationClient.parse_common_project_path)
-    common_location_path = staticmethod(AdaptationClient.common_location_path)
-    parse_common_location_path = staticmethod(
-        AdaptationClient.parse_common_location_path
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationAsyncClient: The constructed client.
-        """
-        return AdaptationClient.from_service_account_info.__func__(AdaptationAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationAsyncClient: The constructed client.
-        """
-        return AdaptationClient.from_service_account_file.__func__(AdaptationAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return AdaptationClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> AdaptationTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            AdaptationTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    get_transport_class = functools.partial(
-        type(AdaptationClient).get_transport_class, type(AdaptationClient)
-    )
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Union[str, AdaptationTransport] = "grpc_asyncio",
-        client_options: Optional[ClientOptions] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the adaptation client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, ~.AdaptationTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (ClientOptions): Custom options for the client. It
-                won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = AdaptationClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-        )
-
-    async def create_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_create_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.CreatePhraseSetRequest(
-                    parent="parent_value",
-                    phrase_set_id="phrase_set_id_value",
-                )
-
-                # Make the request
-                response = await client.create_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.CreatePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-            parent (:class:`str`):
-                Required. The parent resource where this phrase set will
-                be created. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (:class:`google.cloud.speech_v1.types.PhraseSet`):
-                Required. The phrase set to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (:class:`str`):
-                Required. The ID to use for the
-                phrase set, which will become the final
-                component of the phrase set's resource
-                name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.CreatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if phrase_set_id is not None:
-            request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetPhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Get a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_get_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.GetPhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-            name (:class:`str`):
-                Required. The name of the phrase set to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.GetPhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListPhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetAsyncPager:
-        r"""List phrase sets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_list_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.ListPhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_set(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.ListPhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-            parent (:class:`str`):
-                Required. The parent, which owns this collection of
-                phrase set. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.services.adaptation.pagers.ListPhraseSetAsyncPager:
-                Message returned to the client by the ListPhraseSet
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListPhraseSetAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Update a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_update_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                response = await client.update_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.UpdatePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-            phrase_set (:class:`google.cloud.speech_v1.types.PhraseSet`):
-                Required. The phrase set to update.
-
-                The phrase set's ``name`` field is used to identify the
-                set to be updated. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.UpdatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeletePhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_phrase_set(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.DeletePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-            name (:class:`str`):
-                Required. The name of the phrase set to delete. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.DeletePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def create_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreateCustomClassRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[resource.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Create a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_create_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.CreateCustomClassRequest(
-                    parent="parent_value",
-                    custom_class_id="custom_class_id_value",
-                )
-
-                # Make the request
-                response = await client.create_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.CreateCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-            parent (:class:`str`):
-                Required. The parent resource where this custom class
-                will be created. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (:class:`google.cloud.speech_v1.types.CustomClass`):
-                Required. The custom class to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (:class:`str`):
-                Required. The ID to use for the
-                custom class, which will become the
-                final component of the custom class'
-                resource name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.CreateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if custom_class_id is not None:
-            request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Get a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_get_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.GetCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-            name (:class:`str`):
-                Required. The name of the custom class to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.GetCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_custom_classes(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListCustomClassesRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesAsyncPager:
-        r"""List custom classes.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_list_custom_classes():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.ListCustomClassesRequest, dict]]):
-                The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-            parent (:class:`str`):
-                Required. The parent, which owns this collection of
-                custom classes. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.services.adaptation.pagers.ListCustomClassesAsyncPager:
-                Message returned to the client by the ListCustomClasses
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_custom_classes,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListCustomClassesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdateCustomClassRequest, dict]
-        ] = None,
-        *,
-        custom_class: Optional[resource.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Update a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_update_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                response = await client.update_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.UpdateCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-            custom_class (:class:`google.cloud.speech_v1.types.CustomClass`):
-                Required. The custom class to update.
-
-                The custom class's ``name`` field is used to identify
-                the custom class to be updated. Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.UpdateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeleteCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_delete_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_custom_class(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.DeleteCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-            name (:class:`str`):
-                Required. The name of the custom class to delete.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.DeleteCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "AdaptationAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("AdaptationAsyncClient",)
diff --git a/google/cloud/speech_v1/services/adaptation/client.py b/google/cloud/speech_v1/services/adaptation/client.py
deleted file mode 100644
index 297fbf0a..00000000
--- a/google/cloud/speech_v1/services/adaptation/client.py
+++ /dev/null
@@ -1,1815 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-    cast,
-)
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport import mtls  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth.exceptions import MutualTLSChannelError  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.cloud.speech_v1.services.adaptation import pagers
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from .transports.base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import AdaptationGrpcTransport
-from .transports.grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .transports.rest import AdaptationRestTransport
-
-
-class AdaptationClientMeta(type):
-    """Metaclass for the Adaptation client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[AdaptationTransport]]
-    _transport_registry["grpc"] = AdaptationGrpcTransport
-    _transport_registry["grpc_asyncio"] = AdaptationGrpcAsyncIOTransport
-    _transport_registry["rest"] = AdaptationRestTransport
-
-    def get_transport_class(
-        cls,
-        label: Optional[str] = None,
-    ) -> Type[AdaptationTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class AdaptationClient(metaclass=AdaptationClientMeta):
-    """Service that implements Google Cloud Speech Adaptation API."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    DEFAULT_ENDPOINT = "speech.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> AdaptationTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            AdaptationTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def custom_class_path(
-        project: str,
-        location: str,
-        custom_class: str,
-    ) -> str:
-        """Returns a fully-qualified custom_class string."""
-        return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-
-    @staticmethod
-    def parse_custom_class_path(path: str) -> Dict[str, str]:
-        """Parses a custom_class path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def phrase_set_path(
-        project: str,
-        location: str,
-        phrase_set: str,
-    ) -> str:
-        """Returns a fully-qualified phrase_set string."""
-        return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-            project=project,
-            location=location,
-            phrase_set=phrase_set,
-        )
-
-    @staticmethod
-    def parse_phrase_set_path(path: str) -> Dict[str, str]:
-        """Parses a phrase_set path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(
-        billing_account: str,
-    ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(
-            billing_account=billing_account,
-        )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(
-        folder: str,
-    ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(
-            folder=folder,
-        )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str, str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(
-        organization: str,
-    ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(
-            organization=organization,
-        )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str, str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(
-        project: str,
-    ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(
-            project=project,
-        )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str, str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str, str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[client_options_lib.ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError(
-                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-            )
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError(
-                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-            )
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (
-            use_mtls_endpoint == "auto" and client_cert_source
-        ):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Optional[Union[str, AdaptationTransport]] = None,
-        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the adaptation client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, AdaptationTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
-                client. It won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        if isinstance(client_options, dict):
-            client_options = client_options_lib.from_dict(client_options)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        client_options = cast(client_options_lib.ClientOptions, client_options)
-
-        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
-            client_options
-        )
-
-        api_key_value = getattr(client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError(
-                "client_options.api_key and credentials are mutually exclusive"
-            )
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        if isinstance(transport, AdaptationTransport):
-            # transport is a AdaptationTransport instance.
-            if credentials or client_options.credentials_file or api_key_value:
-                raise ValueError(
-                    "When providing a transport instance, "
-                    "provide its credentials directly."
-                )
-            if client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = transport
-        else:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(
-                google.auth._default, "get_api_key_credentials"
-            ):
-                credentials = google.auth._default.get_api_key_credentials(
-                    api_key_value
-                )
-
-            Transport = type(self).get_transport_class(transport)
-            self._transport = Transport(
-                credentials=credentials,
-                credentials_file=client_options.credentials_file,
-                host=api_endpoint,
-                scopes=client_options.scopes,
-                client_cert_source_for_mtls=client_cert_source_func,
-                quota_project_id=client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=client_options.api_audience,
-            )
-
-    def create_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_create_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.CreatePhraseSetRequest(
-                    parent="parent_value",
-                    phrase_set_id="phrase_set_id_value",
-                )
-
-                # Make the request
-                response = client.create_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.CreatePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-            parent (str):
-                Required. The parent resource where this phrase set will
-                be created. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (google.cloud.speech_v1.types.PhraseSet):
-                Required. The phrase set to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (str):
-                Required. The ID to use for the
-                phrase set, which will become the final
-                component of the phrase set's resource
-                name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.CreatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.CreatePhraseSetRequest):
-            request = cloud_speech_adaptation.CreatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if phrase_set_id is not None:
-                request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetPhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Get a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_get_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.GetPhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-            name (str):
-                Required. The name of the phrase set to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.GetPhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.GetPhraseSetRequest):
-            request = cloud_speech_adaptation.GetPhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListPhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetPager:
-        r"""List phrase sets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_list_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.ListPhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_set(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.ListPhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-            parent (str):
-                Required. The parent, which owns this collection of
-                phrase set. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.services.adaptation.pagers.ListPhraseSetPager:
-                Message returned to the client by the ListPhraseSet
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.ListPhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.ListPhraseSetRequest):
-            request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListPhraseSetPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Update a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_update_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                response = client.update_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.UpdatePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-            phrase_set (google.cloud.speech_v1.types.PhraseSet):
-                Required. The phrase set to update.
-
-                The phrase set's ``name`` field is used to identify the
-                set to be updated. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.UpdatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.UpdatePhraseSetRequest):
-            request = cloud_speech_adaptation.UpdatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeletePhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_phrase_set(request=request)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.DeletePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-            name (str):
-                Required. The name of the phrase set to delete. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.DeletePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.DeletePhraseSetRequest):
-            request = cloud_speech_adaptation.DeletePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def create_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreateCustomClassRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[resource.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Create a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_create_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.CreateCustomClassRequest(
-                    parent="parent_value",
-                    custom_class_id="custom_class_id_value",
-                )
-
-                # Make the request
-                response = client.create_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.CreateCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-            parent (str):
-                Required. The parent resource where this custom class
-                will be created. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (google.cloud.speech_v1.types.CustomClass):
-                Required. The custom class to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (str):
-                Required. The ID to use for the
-                custom class, which will become the
-                final component of the custom class'
-                resource name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.CreateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.CreateCustomClassRequest):
-            request = cloud_speech_adaptation.CreateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if custom_class_id is not None:
-                request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Get a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_get_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.GetCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-            name (str):
-                Required. The name of the custom class to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.GetCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.GetCustomClassRequest):
-            request = cloud_speech_adaptation.GetCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_custom_classes(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListCustomClassesRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesPager:
-        r"""List custom classes.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_list_custom_classes():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.ListCustomClassesRequest, dict]):
-                The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-            parent (str):
-                Required. The parent, which owns this collection of
-                custom classes. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.services.adaptation.pagers.ListCustomClassesPager:
-                Message returned to the client by the ListCustomClasses
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.ListCustomClassesRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.ListCustomClassesRequest):
-            request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_custom_classes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListCustomClassesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdateCustomClassRequest, dict]
-        ] = None,
-        *,
-        custom_class: Optional[resource.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Update a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_update_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                response = client.update_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.UpdateCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-            custom_class (google.cloud.speech_v1.types.CustomClass):
-                Required. The custom class to update.
-
-                The custom class's ``name`` field is used to identify
-                the custom class to be updated. Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.UpdateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.UpdateCustomClassRequest):
-            request = cloud_speech_adaptation.UpdateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeleteCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_delete_custom_class():
-                # Create a client
-                client = speech_v1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_custom_class(request=request)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.DeleteCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-            name (str):
-                Required. The name of the custom class to delete.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.DeleteCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.DeleteCustomClassRequest):
-            request = cloud_speech_adaptation.DeleteCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def __enter__(self) -> "AdaptationClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("AdaptationClient",)
diff --git a/google/cloud/speech_v1/services/adaptation/pagers.py b/google/cloud/speech_v1/services/adaptation/pagers.py
deleted file mode 100644
index 5c41a816..00000000
--- a/google/cloud/speech_v1/services/adaptation/pagers.py
+++ /dev/null
@@ -1,290 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from typing import (
-    Any,
-    AsyncIterator,
-    Awaitable,
-    Callable,
-    Sequence,
-    Tuple,
-    Optional,
-    Iterator,
-)
-
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-
-
-class ListPhraseSetPager:
-    """A pager for iterating through ``list_phrase_set`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1.types.ListPhraseSetResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListPhraseSet`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1.types.ListPhraseSetResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech_adaptation.ListPhraseSetResponse],
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        response: cloud_speech_adaptation.ListPhraseSetResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1.types.ListPhraseSetRequest):
-                The initial request object.
-            response (google.cloud.speech_v1.types.ListPhraseSetResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech_adaptation.ListPhraseSetResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resource.PhraseSet]:
-        for page in self.pages:
-            yield from page.phrase_sets
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListPhraseSetAsyncPager:
-    """A pager for iterating through ``list_phrase_set`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1.types.ListPhraseSetResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListPhraseSet`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1.types.ListPhraseSetResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., Awaitable[cloud_speech_adaptation.ListPhraseSetResponse]],
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        response: cloud_speech_adaptation.ListPhraseSetResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1.types.ListPhraseSetRequest):
-                The initial request object.
-            response (google.cloud.speech_v1.types.ListPhraseSetResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(
-        self,
-    ) -> AsyncIterator[cloud_speech_adaptation.ListPhraseSetResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[resource.PhraseSet]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.phrase_sets:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1.types.ListCustomClassesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech_adaptation.ListCustomClassesResponse],
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        response: cloud_speech_adaptation.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v1.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech_adaptation.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resource.CustomClass]:
-        for page in self.pages:
-            yield from page.custom_classes
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesAsyncPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1.types.ListCustomClassesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[
-            ..., Awaitable[cloud_speech_adaptation.ListCustomClassesResponse]
-        ],
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        response: cloud_speech_adaptation.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v1.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(
-        self,
-    ) -> AsyncIterator[cloud_speech_adaptation.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[resource.CustomClass]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.custom_classes:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
diff --git a/google/cloud/speech_v1/services/adaptation/transports/__init__.py b/google/cloud/speech_v1/services/adaptation/transports/__init__.py
deleted file mode 100644
index 46dcf8d7..00000000
--- a/google/cloud/speech_v1/services/adaptation/transports/__init__.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import AdaptationTransport
-from .grpc import AdaptationGrpcTransport
-from .grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .rest import AdaptationRestTransport
-from .rest import AdaptationRestInterceptor
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[AdaptationTransport]]
-_transport_registry["grpc"] = AdaptationGrpcTransport
-_transport_registry["grpc_asyncio"] = AdaptationGrpcAsyncIOTransport
-_transport_registry["rest"] = AdaptationRestTransport
-
-__all__ = (
-    "AdaptationTransport",
-    "AdaptationGrpcTransport",
-    "AdaptationGrpcAsyncIOTransport",
-    "AdaptationRestTransport",
-    "AdaptationRestInterceptor",
-)
diff --git a/google/cloud/speech_v1/services/adaptation/transports/base.py b/google/cloud/speech_v1/services/adaptation/transports/base.py
deleted file mode 100644
index 3ad6334e..00000000
--- a/google/cloud/speech_v1/services/adaptation/transports/base.py
+++ /dev/null
@@ -1,312 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-class AdaptationTransport(abc.ABC):
-    """Abstract transport class for Adaptation."""
-
-    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
-
-    DEFAULT_HOST: str = "speech.googleapis.com"
-
-    def __init__(
-        self,
-        *,
-        host: str = DEFAULT_HOST,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-        **kwargs,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs(
-                "'credentials_file' and 'credentials' are mutually exclusive"
-            )
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
-            )
-        elif credentials is None:
-            credentials, _ = google.auth.default(
-                **scopes_kwargs, quota_project_id=quota_project_id
-            )
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(
-                    api_audience if api_audience else host
-                )
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if (
-            always_use_jwt_access
-            and isinstance(credentials, service_account.Credentials)
-            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
-        ):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_phrase_set: gapic_v1.method.wrap_method(
-                self.create_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_phrase_set: gapic_v1.method.wrap_method(
-                self.get_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_phrase_set: gapic_v1.method.wrap_method(
-                self.list_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_phrase_set: gapic_v1.method.wrap_method(
-                self.update_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_phrase_set: gapic_v1.method.wrap_method(
-                self.delete_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_custom_class: gapic_v1.method.wrap_method(
-                self.create_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_custom_class: gapic_v1.method.wrap_method(
-                self.get_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_custom_classes: gapic_v1.method.wrap_method(
-                self.list_custom_classes,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_custom_class: gapic_v1.method.wrap_method(
-                self.update_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_custom_class: gapic_v1.method.wrap_method(
-                self.delete_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-        .. warning::
-             Only call this method if the transport is NOT shared
-             with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreatePhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetPhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        Union[
-            cloud_speech_adaptation.ListPhraseSetResponse,
-            Awaitable[cloud_speech_adaptation.ListPhraseSetResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdatePhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeletePhraseSetRequest],
-        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        Union[
-            cloud_speech_adaptation.ListCustomClassesResponse,
-            Awaitable[cloud_speech_adaptation.ListCustomClassesResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeleteCustomClassRequest],
-        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[
-            operations_pb2.ListOperationsResponse,
-            Awaitable[operations_pb2.ListOperationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = ("AdaptationTransport",)
diff --git a/google/cloud/speech_v1/services/adaptation/transports/grpc.py b/google/cloud/speech_v1/services/adaptation/transports/grpc.py
deleted file mode 100644
index 6d9f2371..00000000
--- a/google/cloud/speech_v1/services/adaptation/transports/grpc.py
+++ /dev/null
@@ -1,554 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import gapic_v1
-import google.auth  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO
-
-
-class AdaptationGrpcTransport(AdaptationTransport):
-    """gRPC backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _stubs: Dict[str, Callable]
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[grpc.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            channel (Optional[grpc.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service."""
-        return self._grpc_channel
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.CreatePhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/CreatePhraseSet",
-                request_serializer=cloud_speech_adaptation.CreatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.GetPhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Get a phrase set.
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/GetPhraseSet",
-                request_serializer=cloud_speech_adaptation.GetPhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        cloud_speech_adaptation.ListPhraseSetResponse,
-    ]:
-        r"""Return a callable for the list phrase set method over gRPC.
-
-        List phrase sets.
-
-        Returns:
-            Callable[[~.ListPhraseSetRequest],
-                    ~.ListPhraseSetResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_set" not in self._stubs:
-            self._stubs["list_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/ListPhraseSet",
-                request_serializer=cloud_speech_adaptation.ListPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListPhraseSetResponse.deserialize,
-            )
-        return self._stubs["list_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.UpdatePhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Update a phrase set.
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/UpdatePhraseSet",
-                request_serializer=cloud_speech_adaptation.UpdatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeletePhraseSetRequest], empty_pb2.Empty]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Delete a phrase set.
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/DeletePhraseSet",
-                request_serializer=cloud_speech_adaptation.DeletePhraseSetRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Create a custom class.
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/CreateCustomClass",
-                request_serializer=cloud_speech_adaptation.CreateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Get a custom class.
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/GetCustomClass",
-                request_serializer=cloud_speech_adaptation.GetCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        cloud_speech_adaptation.ListCustomClassesResponse,
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        List custom classes.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    ~.ListCustomClassesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/ListCustomClasses",
-                request_serializer=cloud_speech_adaptation.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Update a custom class.
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/UpdateCustomClass",
-                request_serializer=cloud_speech_adaptation.UpdateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeleteCustomClassRequest], empty_pb2.Empty]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Delete a custom class.
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/DeleteCustomClass",
-                request_serializer=cloud_speech_adaptation.DeleteCustomClassRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = ("AdaptationGrpcTransport",)
diff --git a/google/cloud/speech_v1/services/adaptation/transports/grpc_asyncio.py b/google/cloud/speech_v1/services/adaptation/transports/grpc_asyncio.py
deleted file mode 100644
index bb598cf2..00000000
--- a/google/cloud/speech_v1/services/adaptation/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,565 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .grpc import AdaptationGrpcTransport
-
-
-class AdaptationGrpcAsyncIOTransport(AdaptationTransport):
-    """gRPC AsyncIO backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[aio.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[aio.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreatePhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/CreatePhraseSet",
-                request_serializer=cloud_speech_adaptation.CreatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetPhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Get a phrase set.
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/GetPhraseSet",
-                request_serializer=cloud_speech_adaptation.GetPhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        Awaitable[cloud_speech_adaptation.ListPhraseSetResponse],
-    ]:
-        r"""Return a callable for the list phrase set method over gRPC.
-
-        List phrase sets.
-
-        Returns:
-            Callable[[~.ListPhraseSetRequest],
-                    Awaitable[~.ListPhraseSetResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_set" not in self._stubs:
-            self._stubs["list_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/ListPhraseSet",
-                request_serializer=cloud_speech_adaptation.ListPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListPhraseSetResponse.deserialize,
-            )
-        return self._stubs["list_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdatePhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Update a phrase set.
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/UpdatePhraseSet",
-                request_serializer=cloud_speech_adaptation.UpdatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeletePhraseSetRequest], Awaitable[empty_pb2.Empty]
-    ]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Delete a phrase set.
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/DeletePhraseSet",
-                request_serializer=cloud_speech_adaptation.DeletePhraseSetRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest],
-        Awaitable[resource.CustomClass],
-    ]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Create a custom class.
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/CreateCustomClass",
-                request_serializer=cloud_speech_adaptation.CreateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], Awaitable[resource.CustomClass]
-    ]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Get a custom class.
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/GetCustomClass",
-                request_serializer=cloud_speech_adaptation.GetCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        Awaitable[cloud_speech_adaptation.ListCustomClassesResponse],
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        List custom classes.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    Awaitable[~.ListCustomClassesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/ListCustomClasses",
-                request_serializer=cloud_speech_adaptation.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest],
-        Awaitable[resource.CustomClass],
-    ]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Update a custom class.
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/UpdateCustomClass",
-                request_serializer=cloud_speech_adaptation.UpdateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeleteCustomClassRequest], Awaitable[empty_pb2.Empty]
-    ]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Delete a custom class.
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Adaptation/DeleteCustomClass",
-                request_serializer=cloud_speech_adaptation.DeleteCustomClassRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-
-__all__ = ("AdaptationGrpcAsyncIOTransport",)
diff --git a/google/cloud/speech_v1/services/adaptation/transports/rest.py b/google/cloud/speech_v1/services/adaptation/transports/rest.py
deleted file mode 100644
index d7a59060..00000000
--- a/google/cloud/speech_v1/services/adaptation/transports/rest.py
+++ /dev/null
@@ -1,1679 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-from google.auth.transport.requests import AuthorizedSession  # type: ignore
-import json  # type: ignore
-import grpc  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry as retries
-from google.api_core import rest_helpers
-from google.api_core import rest_streaming
-from google.api_core import path_template
-from google.api_core import gapic_v1
-
-from google.protobuf import json_format
-from requests import __version__ as requests_version
-import dataclasses
-import re
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
-import warnings
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.protobuf import empty_pb2  # type: ignore
-from google.longrunning import operations_pb2  # type: ignore
-
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
-    grpc_version=None,
-    rest_version=requests_version,
-)
-
-
-class AdaptationRestInterceptor:
-    """Interceptor for Adaptation.
-
-    Interceptors are used to manipulate requests, request metadata, and responses
-    in arbitrary ways.
-    Example use cases include:
-    * Logging
-    * Verifying requests according to service or custom semantics
-    * Stripping extraneous information from responses
-
-    These use cases and more can be enabled by injecting an
-    instance of a custom subclass when constructing the AdaptationRestTransport.
-
-    .. code-block:: python
-        class MyCustomAdaptationInterceptor(AdaptationRestInterceptor):
-            def pre_create_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_create_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_delete_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def pre_delete_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def pre_get_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_custom_classes(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_custom_classes(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-        transport = AdaptationRestTransport(interceptor=MyCustomAdaptationInterceptor())
-        client = AdaptationClient(transport=transport)
-
-
-    """
-
-    def pre_create_custom_class(
-        self,
-        request: cloud_speech_adaptation.CreateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.CreateCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_create_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_create_phrase_set(
-        self,
-        request: cloud_speech_adaptation.CreatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.CreatePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_create_phrase_set(
-        self, response: resource.PhraseSet
-    ) -> resource.PhraseSet:
-        """Post-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_custom_class(
-        self,
-        request: cloud_speech_adaptation.DeleteCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.DeleteCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for delete_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def pre_delete_phrase_set(
-        self,
-        request: cloud_speech_adaptation.DeletePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.DeletePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for delete_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def pre_get_custom_class(
-        self,
-        request: cloud_speech_adaptation.GetCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.GetCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_phrase_set(
-        self,
-        request: cloud_speech_adaptation.GetPhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech_adaptation.GetPhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_phrase_set(self, response: resource.PhraseSet) -> resource.PhraseSet:
-        """Post-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_custom_classes(
-        self,
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.ListCustomClassesRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_custom_classes(
-        self, response: cloud_speech_adaptation.ListCustomClassesResponse
-    ) -> cloud_speech_adaptation.ListCustomClassesResponse:
-        """Post-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_phrase_set(
-        self,
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech_adaptation.ListPhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_phrase_set(
-        self, response: cloud_speech_adaptation.ListPhraseSetResponse
-    ) -> cloud_speech_adaptation.ListPhraseSetResponse:
-        """Post-rpc interceptor for list_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_custom_class(
-        self,
-        request: cloud_speech_adaptation.UpdateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.UpdateCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_update_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_phrase_set(
-        self,
-        request: cloud_speech_adaptation.UpdatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.UpdatePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_update_phrase_set(
-        self, response: resource.PhraseSet
-    ) -> resource.PhraseSet:
-        """Post-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_operation(
-        self,
-        request: operations_pb2.GetOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_operation(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_operations(
-        self,
-        request: operations_pb2.ListOperationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_operations(
-        self, response: operations_pb2.ListOperationsResponse
-    ) -> operations_pb2.ListOperationsResponse:
-        """Post-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-
-@dataclasses.dataclass
-class AdaptationRestStub:
-    _session: AuthorizedSession
-    _host: str
-    _interceptor: AdaptationRestInterceptor
-
-
-class AdaptationRestTransport(AdaptationTransport):
-    """REST backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends JSON representations of protocol buffers over HTTP/1.1
-
-    """
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        url_scheme: str = "https",
-        interceptor: Optional[AdaptationRestInterceptor] = None,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client
-                certificate to configure mutual TLS HTTP channel. It is ignored
-                if ``channel`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you are developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-            url_scheme: the protocol scheme for the API endpoint.  Normally
-                "https", but for testing or local servers,
-                "http" can be specified.
-        """
-        # Run the base constructor
-        # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc.
-        # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the
-        # credentials object
-        maybe_url_match = re.match("^(?P<scheme>http(?:s)?://)?(?P<host>.*)$", host)
-        if maybe_url_match is None:
-            raise ValueError(
-                f"Unexpected hostname structure: {host}"
-            )  # pragma: NO COVER
-
-        url_match_items = maybe_url_match.groupdict()
-
-        host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host
-
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-        self._session = AuthorizedSession(
-            self._credentials, default_host=self.DEFAULT_HOST
-        )
-        if client_cert_source_for_mtls:
-            self._session.configure_mtls_channel(client_cert_source_for_mtls)
-        self._interceptor = interceptor or AdaptationRestInterceptor()
-        self._prep_wrapped_messages(client_info)
-
-    class _CreateCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("CreateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.CreateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the create custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.CreateCustomClassRequest):
-                    The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1/{parent=projects/*/locations/*}/customClasses",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.CreateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_custom_class(resp)
-            return resp
-
-    class _CreatePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("CreatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.CreatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the create phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.CreatePhraseSetRequest):
-                    The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1/{parent=projects/*/locations/*}/phraseSets",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.CreatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_phrase_set(resp)
-            return resp
-
-    class _DeleteCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("DeleteCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.DeleteCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ):
-            r"""Call the delete custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.DeleteCustomClassRequest):
-                    The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v1/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.DeleteCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-    class _DeletePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("DeletePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.DeletePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ):
-            r"""Call the delete phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.DeletePhraseSetRequest):
-                    The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v1/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.DeletePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-    class _GetCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("GetCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.GetCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the get custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.GetCustomClassRequest):
-                    The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.GetCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_custom_class(resp)
-            return resp
-
-    class _GetPhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("GetPhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.GetPhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the get phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.GetPhraseSetRequest):
-                    The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_phrase_set(request, metadata)
-            pb_request = cloud_speech_adaptation.GetPhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_phrase_set(resp)
-            return resp
-
-    class _ListCustomClasses(AdaptationRestStub):
-        def __hash__(self):
-            return hash("ListCustomClasses")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.ListCustomClassesRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech_adaptation.ListCustomClassesResponse:
-            r"""Call the list custom classes method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.ListCustomClassesRequest):
-                    The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech_adaptation.ListCustomClassesResponse:
-                    Message returned to the client by the
-                ``ListCustomClasses`` method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/{parent=projects/*/locations/*}/customClasses",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_custom_classes(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.ListCustomClassesRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech_adaptation.ListCustomClassesResponse()
-            pb_resp = cloud_speech_adaptation.ListCustomClassesResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_custom_classes(resp)
-            return resp
-
-    class _ListPhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("ListPhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.ListPhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech_adaptation.ListPhraseSetResponse:
-            r"""Call the list phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.ListPhraseSetRequest):
-                    The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech_adaptation.ListPhraseSetResponse:
-                    Message returned to the client by the ``ListPhraseSet``
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/{parent=projects/*/locations/*}/phraseSets",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_phrase_set(request, metadata)
-            pb_request = cloud_speech_adaptation.ListPhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech_adaptation.ListPhraseSetResponse()
-            pb_resp = cloud_speech_adaptation.ListPhraseSetResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_phrase_set(resp)
-            return resp
-
-    class _UpdateCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("UpdateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.UpdateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the update custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.UpdateCustomClassRequest):
-                    The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v1/{custom_class.name=projects/*/locations/*/customClasses/*}",
-                    "body": "custom_class",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.UpdateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_custom_class(resp)
-            return resp
-
-    class _UpdatePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("UpdatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.UpdatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the update phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.UpdatePhraseSetRequest):
-                    The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v1/{phrase_set.name=projects/*/locations/*/phraseSets/*}",
-                    "body": "phrase_set",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.UpdatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_phrase_set(resp)
-            return resp
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.CreatePhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeleteCustomClassRequest], empty_pb2.Empty]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeleteCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeletePhraseSetRequest], empty_pb2.Empty]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeletePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.GetPhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetPhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        cloud_speech_adaptation.ListCustomClassesResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListCustomClasses(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        cloud_speech_adaptation.ListPhraseSetResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListPhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.UpdatePhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_operation(self):
-        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetOperation(AdaptationRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.GetOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the get operation method over HTTP.
-
-            Args:
-                request (operations_pb2.GetOperationRequest):
-                    The request object for GetOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.Operation: Response from GetOperation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/operations/{name=**}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_operation(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.Operation()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_operation(resp)
-            return resp
-
-    @property
-    def list_operations(self):
-        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListOperations(AdaptationRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.ListOperationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.ListOperationsResponse:
-            r"""Call the list operations method over HTTP.
-
-            Args:
-                request (operations_pb2.ListOperationsRequest):
-                    The request object for ListOperations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.ListOperationsResponse: Response from ListOperations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/operations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_operations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.ListOperationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_operations(resp)
-            return resp
-
-    @property
-    def kind(self) -> str:
-        return "rest"
-
-    def close(self):
-        self._session.close()
-
-
-__all__ = ("AdaptationRestTransport",)
diff --git a/google/cloud/speech_v1/services/speech/__init__.py b/google/cloud/speech_v1/services/speech/__init__.py
deleted file mode 100644
index 400719f2..00000000
--- a/google/cloud/speech_v1/services/speech/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import SpeechClient
-from .async_client import SpeechAsyncClient
-
-__all__ = (
-    "SpeechClient",
-    "SpeechAsyncClient",
-)
diff --git a/google/cloud/speech_v1/services/speech/async_client.py b/google/cloud/speech_v1/services/speech/async_client.py
deleted file mode 100644
index 4489c247..00000000
--- a/google/cloud/speech_v1/services/speech/async_client.py
+++ /dev/null
@@ -1,761 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import functools
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    AsyncIterable,
-    Awaitable,
-    AsyncIterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .client import SpeechClient
-
-
-class SpeechAsyncClient:
-    """Service that implements Google Cloud Speech API."""
-
-    _client: SpeechClient
-
-    DEFAULT_ENDPOINT = SpeechClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = SpeechClient.DEFAULT_MTLS_ENDPOINT
-
-    custom_class_path = staticmethod(SpeechClient.custom_class_path)
-    parse_custom_class_path = staticmethod(SpeechClient.parse_custom_class_path)
-    phrase_set_path = staticmethod(SpeechClient.phrase_set_path)
-    parse_phrase_set_path = staticmethod(SpeechClient.parse_phrase_set_path)
-    common_billing_account_path = staticmethod(SpeechClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(
-        SpeechClient.parse_common_billing_account_path
-    )
-    common_folder_path = staticmethod(SpeechClient.common_folder_path)
-    parse_common_folder_path = staticmethod(SpeechClient.parse_common_folder_path)
-    common_organization_path = staticmethod(SpeechClient.common_organization_path)
-    parse_common_organization_path = staticmethod(
-        SpeechClient.parse_common_organization_path
-    )
-    common_project_path = staticmethod(SpeechClient.common_project_path)
-    parse_common_project_path = staticmethod(SpeechClient.parse_common_project_path)
-    common_location_path = staticmethod(SpeechClient.common_location_path)
-    parse_common_location_path = staticmethod(SpeechClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_info.__func__(SpeechAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_file.__func__(SpeechAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return SpeechClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    get_transport_class = functools.partial(
-        type(SpeechClient).get_transport_class, type(SpeechClient)
-    )
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Union[str, SpeechTransport] = "grpc_asyncio",
-        client_options: Optional[ClientOptions] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, ~.SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (ClientOptions): Custom options for the client. It
-                won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = SpeechClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-        )
-
-    async def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_recognize():
-                # Create a client
-                client = speech_v1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                config = speech_v1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1.RecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                response = await client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.RecognizeRequest, dict]]):
-                The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-            config (:class:`google.cloud.speech_v1.types.RecognitionConfig`):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (:class:`google.cloud.speech_v1.types.RecognitionAudio`):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.RecognizeResponse:
-                The only message returned to the client by the Recognize method. It
-                   contains the result as zero or more sequential
-                   SpeechRecognitionResult messages.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.RecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if config is not None:
-            request.config = config
-        if audio is not None:
-            request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.recognize,
-            default_retry=retries.Retry(
-                initial=0.1,
-                maximum=60.0,
-                multiplier=1.3,
-                predicate=retries.if_exception_type(
-                    core_exceptions.DeadlineExceeded,
-                    core_exceptions.ServiceUnavailable,
-                ),
-                deadline=5000.0,
-            ),
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def long_running_recognize(
-        self,
-        request: Optional[Union[cloud_speech.LongRunningRecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_long_running_recognize():
-                # Create a client
-                client = speech_v1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                config = speech_v1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1.LongRunningRecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                operation = client.long_running_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1.types.LongRunningRecognizeRequest, dict]]):
-                The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-            config (:class:`google.cloud.speech_v1.types.RecognitionConfig`):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (:class:`google.cloud.speech_v1.types.RecognitionAudio`):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v1.types.LongRunningRecognizeResponse` The only message returned to the client by the LongRunningRecognize method.
-                   It contains the result as zero or more sequential
-                   SpeechRecognitionResult messages. It is included in
-                   the result.response field of the Operation returned
-                   by the GetOperation call of the
-                   google::longrunning::Operations service.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.LongRunningRecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if config is not None:
-            request.config = config
-        if audio is not None:
-            request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.long_running_recognize,
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.LongRunningRecognizeResponse,
-            metadata_type=cloud_speech.LongRunningRecognizeMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[
-            AsyncIterator[cloud_speech.StreamingRecognizeRequest]
-        ] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Awaitable[AsyncIterable[cloud_speech.StreamingRecognizeResponse]]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            async def sample_streaming_recognize():
-                # Create a client
-                client = speech_v1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                streaming_config = speech_v1.StreamingRecognitionConfig()
-                streaming_config.config.language_code = "language_code_value"
-
-                request = speech_v1.StreamingRecognizeRequest(
-                    streaming_config=streaming_config,
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v1.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = await client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                async for response in stream:
-                    print(response)
-
-        Args:
-            requests (AsyncIterator[`google.cloud.speech_v1.types.StreamingRecognizeRequest`]):
-                The request object AsyncIterator. The top-level message sent by the client for the
-                ``StreamingRecognize`` method. Multiple
-                ``StreamingRecognizeRequest`` messages are sent. The
-                first message must contain a ``streaming_config``
-                message and must not contain ``audio_content``. All
-                subsequent messages must contain ``audio_content`` and
-                must not contain a ``streaming_config`` message.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            AsyncIterable[google.cloud.speech_v1.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio, and
-                   single_utterance is set to false, then no messages
-                   are streamed back to the client.
-
-                   Here's an example of a series of
-                   StreamingRecognizeResponses that might be returned
-                   while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.streaming_recognize,
-            default_retry=retries.Retry(
-                initial=0.1,
-                maximum=60.0,
-                multiplier=1.3,
-                predicate=retries.if_exception_type(
-                    core_exceptions.DeadlineExceeded,
-                    core_exceptions.ServiceUnavailable,
-                ),
-                deadline=5000.0,
-            ),
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "SpeechAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechAsyncClient",)
diff --git a/google/cloud/speech_v1/services/speech/client.py b/google/cloud/speech_v1/services/speech/client.py
deleted file mode 100644
index b9c59994..00000000
--- a/google/cloud/speech_v1/services/speech/client.py
+++ /dev/null
@@ -1,998 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Iterable,
-    Iterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-    cast,
-)
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport import mtls  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth.exceptions import MutualTLSChannelError  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import SpeechGrpcTransport
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .transports.rest import SpeechRestTransport
-
-
-class SpeechClientMeta(type):
-    """Metaclass for the Speech client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-    _transport_registry["grpc"] = SpeechGrpcTransport
-    _transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-    _transport_registry["rest"] = SpeechRestTransport
-
-    def get_transport_class(
-        cls,
-        label: Optional[str] = None,
-    ) -> Type[SpeechTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class SpeechClient(metaclass=SpeechClientMeta):
-    """Service that implements Google Cloud Speech API."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    DEFAULT_ENDPOINT = "speech.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def custom_class_path(
-        project: str,
-        location: str,
-        custom_class: str,
-    ) -> str:
-        """Returns a fully-qualified custom_class string."""
-        return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-
-    @staticmethod
-    def parse_custom_class_path(path: str) -> Dict[str, str]:
-        """Parses a custom_class path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def phrase_set_path(
-        project: str,
-        location: str,
-        phrase_set: str,
-    ) -> str:
-        """Returns a fully-qualified phrase_set string."""
-        return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-            project=project,
-            location=location,
-            phrase_set=phrase_set,
-        )
-
-    @staticmethod
-    def parse_phrase_set_path(path: str) -> Dict[str, str]:
-        """Parses a phrase_set path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(
-        billing_account: str,
-    ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(
-            billing_account=billing_account,
-        )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(
-        folder: str,
-    ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(
-            folder=folder,
-        )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str, str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(
-        organization: str,
-    ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(
-            organization=organization,
-        )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str, str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(
-        project: str,
-    ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(
-            project=project,
-        )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str, str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str, str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[client_options_lib.ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError(
-                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-            )
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError(
-                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-            )
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (
-            use_mtls_endpoint == "auto" and client_cert_source
-        ):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Optional[Union[str, SpeechTransport]] = None,
-        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
-                client. It won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        if isinstance(client_options, dict):
-            client_options = client_options_lib.from_dict(client_options)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        client_options = cast(client_options_lib.ClientOptions, client_options)
-
-        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
-            client_options
-        )
-
-        api_key_value = getattr(client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError(
-                "client_options.api_key and credentials are mutually exclusive"
-            )
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        if isinstance(transport, SpeechTransport):
-            # transport is a SpeechTransport instance.
-            if credentials or client_options.credentials_file or api_key_value:
-                raise ValueError(
-                    "When providing a transport instance, "
-                    "provide its credentials directly."
-                )
-            if client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = transport
-        else:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(
-                google.auth._default, "get_api_key_credentials"
-            ):
-                credentials = google.auth._default.get_api_key_credentials(
-                    api_key_value
-                )
-
-            Transport = type(self).get_transport_class(transport)
-            self._transport = Transport(
-                credentials=credentials,
-                credentials_file=client_options.credentials_file,
-                host=api_endpoint,
-                scopes=client_options.scopes,
-                client_cert_source_for_mtls=client_cert_source_func,
-                quota_project_id=client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=client_options.api_audience,
-            )
-
-    def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_recognize():
-                # Create a client
-                client = speech_v1.SpeechClient()
-
-                # Initialize request argument(s)
-                config = speech_v1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1.RecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                response = client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.RecognizeRequest, dict]):
-                The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-            config (google.cloud.speech_v1.types.RecognitionConfig):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (google.cloud.speech_v1.types.RecognitionAudio):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1.types.RecognizeResponse:
-                The only message returned to the client by the Recognize method. It
-                   contains the result as zero or more sequential
-                   SpeechRecognitionResult messages.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.RecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.RecognizeRequest):
-            request = cloud_speech.RecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if config is not None:
-                request.config = config
-            if audio is not None:
-                request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.recognize]
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def long_running_recognize(
-        self,
-        request: Optional[Union[cloud_speech.LongRunningRecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_long_running_recognize():
-                # Create a client
-                client = speech_v1.SpeechClient()
-
-                # Initialize request argument(s)
-                config = speech_v1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1.LongRunningRecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                operation = client.long_running_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1.types.LongRunningRecognizeRequest, dict]):
-                The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-            config (google.cloud.speech_v1.types.RecognitionConfig):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (google.cloud.speech_v1.types.RecognitionAudio):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v1.types.LongRunningRecognizeResponse` The only message returned to the client by the LongRunningRecognize method.
-                   It contains the result as zero or more sequential
-                   SpeechRecognitionResult messages. It is included in
-                   the result.response field of the Operation returned
-                   by the GetOperation call of the
-                   google::longrunning::Operations service.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.LongRunningRecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.LongRunningRecognizeRequest):
-            request = cloud_speech.LongRunningRecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if config is not None:
-                request.config = config
-            if audio is not None:
-                request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.long_running_recognize]
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.LongRunningRecognizeResponse,
-            metadata_type=cloud_speech.LongRunningRecognizeMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[Iterator[cloud_speech.StreamingRecognizeRequest]] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Iterable[cloud_speech.StreamingRecognizeResponse]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1
-
-            def sample_streaming_recognize():
-                # Create a client
-                client = speech_v1.SpeechClient()
-
-                # Initialize request argument(s)
-                streaming_config = speech_v1.StreamingRecognitionConfig()
-                streaming_config.config.language_code = "language_code_value"
-
-                request = speech_v1.StreamingRecognizeRequest(
-                    streaming_config=streaming_config,
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v1.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                for response in stream:
-                    print(response)
-
-        Args:
-            requests (Iterator[google.cloud.speech_v1.types.StreamingRecognizeRequest]):
-                The request object iterator. The top-level message sent by the client for the
-                ``StreamingRecognize`` method. Multiple
-                ``StreamingRecognizeRequest`` messages are sent. The
-                first message must contain a ``streaming_config``
-                message and must not contain ``audio_content``. All
-                subsequent messages must contain ``audio_content`` and
-                must not contain a ``streaming_config`` message.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            Iterable[google.cloud.speech_v1.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio, and
-                   single_utterance is set to false, then no messages
-                   are streamed back to the client.
-
-                   Here's an example of a series of
-                   StreamingRecognizeResponses that might be returned
-                   while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.streaming_recognize]
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "SpeechClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechClient",)
diff --git a/google/cloud/speech_v1/services/speech/transports/__init__.py b/google/cloud/speech_v1/services/speech/transports/__init__.py
deleted file mode 100644
index af913f1d..00000000
--- a/google/cloud/speech_v1/services/speech/transports/__init__.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import SpeechTransport
-from .grpc import SpeechGrpcTransport
-from .grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .rest import SpeechRestTransport
-from .rest import SpeechRestInterceptor
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-_transport_registry["grpc"] = SpeechGrpcTransport
-_transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-_transport_registry["rest"] = SpeechRestTransport
-
-__all__ = (
-    "SpeechTransport",
-    "SpeechGrpcTransport",
-    "SpeechGrpcAsyncIOTransport",
-    "SpeechRestTransport",
-    "SpeechRestInterceptor",
-)
diff --git a/google/cloud/speech_v1/services/speech/transports/base.py b/google/cloud/speech_v1/services/speech/transports/base.py
deleted file mode 100644
index 0be10b03..00000000
--- a/google/cloud/speech_v1/services/speech/transports/base.py
+++ /dev/null
@@ -1,237 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.speech_v1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-class SpeechTransport(abc.ABC):
-    """Abstract transport class for Speech."""
-
-    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
-
-    DEFAULT_HOST: str = "speech.googleapis.com"
-
-    def __init__(
-        self,
-        *,
-        host: str = DEFAULT_HOST,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-        **kwargs,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs(
-                "'credentials_file' and 'credentials' are mutually exclusive"
-            )
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
-            )
-        elif credentials is None:
-            credentials, _ = google.auth.default(
-                **scopes_kwargs, quota_project_id=quota_project_id
-            )
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(
-                    api_audience if api_audience else host
-                )
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if (
-            always_use_jwt_access
-            and isinstance(credentials, service_account.Credentials)
-            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
-        ):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.recognize: gapic_v1.method.wrap_method(
-                self.recognize,
-                default_retry=retries.Retry(
-                    initial=0.1,
-                    maximum=60.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.DeadlineExceeded,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=5000.0,
-                ),
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-            self.long_running_recognize: gapic_v1.method.wrap_method(
-                self.long_running_recognize,
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-            self.streaming_recognize: gapic_v1.method.wrap_method(
-                self.streaming_recognize,
-                default_retry=retries.Retry(
-                    initial=0.1,
-                    maximum=60.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.DeadlineExceeded,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=5000.0,
-                ),
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-        }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-        .. warning::
-             Only call this method if the transport is NOT shared
-             with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest],
-        Union[
-            cloud_speech.RecognizeResponse, Awaitable[cloud_speech.RecognizeResponse]
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.LongRunningRecognizeRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Union[
-            cloud_speech.StreamingRecognizeResponse,
-            Awaitable[cloud_speech.StreamingRecognizeResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[
-            operations_pb2.ListOperationsResponse,
-            Awaitable[operations_pb2.ListOperationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = ("SpeechTransport",)
diff --git a/google/cloud/speech_v1/services/speech/transports/grpc.py b/google/cloud/speech_v1/services/speech/transports/grpc.py
deleted file mode 100644
index d7cd706e..00000000
--- a/google/cloud/speech_v1/services/speech/transports/grpc.py
+++ /dev/null
@@ -1,382 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-
-
-class SpeechGrpcTransport(SpeechTransport):
-    """gRPC backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _stubs: Dict[str, Callable]
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[grpc.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            channel (Optional[grpc.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service."""
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(self.grpc_channel)
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    ~.RecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[[cloud_speech.LongRunningRecognizeRequest], operations_pb2.Operation]:
-        r"""Return a callable for the long running recognize method over gRPC.
-
-        Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        Returns:
-            Callable[[~.LongRunningRecognizeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "long_running_recognize" not in self._stubs:
-            self._stubs["long_running_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Speech/LongRunningRecognize",
-                request_serializer=cloud_speech.LongRunningRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["long_running_recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    ~.StreamingRecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v1.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = ("SpeechGrpcTransport",)
diff --git a/google/cloud/speech_v1/services/speech/transports/grpc_asyncio.py b/google/cloud/speech_v1/services/speech/transports/grpc_asyncio.py
deleted file mode 100644
index 99339b3b..00000000
--- a/google/cloud/speech_v1/services/speech/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,387 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .grpc import SpeechGrpcTransport
-
-
-class SpeechGrpcAsyncIOTransport(SpeechTransport):
-    """gRPC AsyncIO backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[aio.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[aio.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest], Awaitable[cloud_speech.RecognizeResponse]
-    ]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    Awaitable[~.RecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.LongRunningRecognizeRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the long running recognize method over gRPC.
-
-        Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        Returns:
-            Callable[[~.LongRunningRecognizeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "long_running_recognize" not in self._stubs:
-            self._stubs["long_running_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1.Speech/LongRunningRecognize",
-                request_serializer=cloud_speech.LongRunningRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["long_running_recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Awaitable[cloud_speech.StreamingRecognizeResponse],
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    Awaitable[~.StreamingRecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v1.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-
-__all__ = ("SpeechGrpcAsyncIOTransport",)
diff --git a/google/cloud/speech_v1/services/speech/transports/rest.py b/google/cloud/speech_v1/services/speech/transports/rest.py
deleted file mode 100644
index 9af99628..00000000
--- a/google/cloud/speech_v1/services/speech/transports/rest.py
+++ /dev/null
@@ -1,704 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-from google.auth.transport.requests import AuthorizedSession  # type: ignore
-import json  # type: ignore
-import grpc  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry as retries
-from google.api_core import rest_helpers
-from google.api_core import rest_streaming
-from google.api_core import path_template
-from google.api_core import gapic_v1
-
-from google.protobuf import json_format
-from google.api_core import operations_v1
-from requests import __version__ as requests_version
-import dataclasses
-import re
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
-import warnings
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-
-from google.cloud.speech_v1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
-    grpc_version=None,
-    rest_version=requests_version,
-)
-
-
-class SpeechRestInterceptor:
-    """Interceptor for Speech.
-
-    Interceptors are used to manipulate requests, request metadata, and responses
-    in arbitrary ways.
-    Example use cases include:
-    * Logging
-    * Verifying requests according to service or custom semantics
-    * Stripping extraneous information from responses
-
-    These use cases and more can be enabled by injecting an
-    instance of a custom subclass when constructing the SpeechRestTransport.
-
-    .. code-block:: python
-        class MyCustomSpeechInterceptor(SpeechRestInterceptor):
-            def pre_long_running_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_long_running_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-        transport = SpeechRestTransport(interceptor=MyCustomSpeechInterceptor())
-        client = SpeechClient(transport=transport)
-
-
-    """
-
-    def pre_long_running_recognize(
-        self,
-        request: cloud_speech.LongRunningRecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.LongRunningRecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for long_running_recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_long_running_recognize(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for long_running_recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_recognize(
-        self,
-        request: cloud_speech.RecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.RecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_recognize(
-        self, response: cloud_speech.RecognizeResponse
-    ) -> cloud_speech.RecognizeResponse:
-        """Post-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_operation(
-        self,
-        request: operations_pb2.GetOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_operation(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_operations(
-        self,
-        request: operations_pb2.ListOperationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_operations(
-        self, response: operations_pb2.ListOperationsResponse
-    ) -> operations_pb2.ListOperationsResponse:
-        """Post-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-
-@dataclasses.dataclass
-class SpeechRestStub:
-    _session: AuthorizedSession
-    _host: str
-    _interceptor: SpeechRestInterceptor
-
-
-class SpeechRestTransport(SpeechTransport):
-    """REST backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends JSON representations of protocol buffers over HTTP/1.1
-
-    """
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        url_scheme: str = "https",
-        interceptor: Optional[SpeechRestInterceptor] = None,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client
-                certificate to configure mutual TLS HTTP channel. It is ignored
-                if ``channel`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you are developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-            url_scheme: the protocol scheme for the API endpoint.  Normally
-                "https", but for testing or local servers,
-                "http" can be specified.
-        """
-        # Run the base constructor
-        # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc.
-        # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the
-        # credentials object
-        maybe_url_match = re.match("^(?P<scheme>http(?:s)?://)?(?P<host>.*)$", host)
-        if maybe_url_match is None:
-            raise ValueError(
-                f"Unexpected hostname structure: {host}"
-            )  # pragma: NO COVER
-
-        url_match_items = maybe_url_match.groupdict()
-
-        host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host
-
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-        self._session = AuthorizedSession(
-            self._credentials, default_host=self.DEFAULT_HOST
-        )
-        self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None
-        if client_cert_source_for_mtls:
-            self._session.configure_mtls_channel(client_cert_source_for_mtls)
-        self._interceptor = interceptor or SpeechRestInterceptor()
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def operations_client(self) -> operations_v1.AbstractOperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            http_options: Dict[str, List[Dict[str, str]]] = {
-                "google.longrunning.Operations.GetOperation": [
-                    {
-                        "method": "get",
-                        "uri": "/v1/operations/{name=**}",
-                    },
-                ],
-                "google.longrunning.Operations.ListOperations": [
-                    {
-                        "method": "get",
-                        "uri": "/v1/operations",
-                    },
-                ],
-            }
-
-            rest_transport = operations_v1.OperationsRestTransport(
-                host=self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                scopes=self._scopes,
-                http_options=http_options,
-                path_prefix="v1",
-            )
-
-            self._operations_client = operations_v1.AbstractOperationsClient(
-                transport=rest_transport
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    class _LongRunningRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("LongRunningRecognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.LongRunningRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the long running recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.LongRunningRecognizeRequest):
-                    The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1/speech:longrunningrecognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_long_running_recognize(
-                request, metadata
-            )
-            pb_request = cloud_speech.LongRunningRecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_long_running_recognize(resp)
-            return resp
-
-    class _Recognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("Recognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.RecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.RecognizeResponse:
-            r"""Call the recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.RecognizeRequest):
-                    The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.RecognizeResponse:
-                    The only message returned to the client by the
-                ``Recognize`` method. It contains the result as zero or
-                more sequential ``SpeechRecognitionResult`` messages.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1/speech:recognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_recognize(request, metadata)
-            pb_request = cloud_speech.RecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.RecognizeResponse()
-            pb_resp = cloud_speech.RecognizeResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_recognize(resp)
-            return resp
-
-    class _StreamingRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("StreamingRecognize")
-
-        def __call__(
-            self,
-            request: cloud_speech.StreamingRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> rest_streaming.ResponseIterator:
-            raise NotImplementedError(
-                "Method StreamingRecognize is not available over REST transport"
-            )
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[[cloud_speech.LongRunningRecognizeRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._LongRunningRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._Recognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._StreamingRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_operation(self):
-        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetOperation(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.GetOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the get operation method over HTTP.
-
-            Args:
-                request (operations_pb2.GetOperationRequest):
-                    The request object for GetOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.Operation: Response from GetOperation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/operations/{name=**}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_operation(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.Operation()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_operation(resp)
-            return resp
-
-    @property
-    def list_operations(self):
-        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListOperations(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.ListOperationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.ListOperationsResponse:
-            r"""Call the list operations method over HTTP.
-
-            Args:
-                request (operations_pb2.ListOperationsRequest):
-                    The request object for ListOperations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.ListOperationsResponse: Response from ListOperations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1/operations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_operations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.ListOperationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_operations(resp)
-            return resp
-
-    @property
-    def kind(self) -> str:
-        return "rest"
-
-    def close(self):
-        self._session.close()
-
-
-__all__ = ("SpeechRestTransport",)
diff --git a/google/cloud/speech_v1/types/__init__.py b/google/cloud/speech_v1/types/__init__.py
deleted file mode 100644
index 4c0a8880..00000000
--- a/google/cloud/speech_v1/types/__init__.py
+++ /dev/null
@@ -1,92 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .cloud_speech import (
-    LongRunningRecognizeMetadata,
-    LongRunningRecognizeRequest,
-    LongRunningRecognizeResponse,
-    RecognitionAudio,
-    RecognitionConfig,
-    RecognitionMetadata,
-    RecognizeRequest,
-    RecognizeResponse,
-    SpeakerDiarizationConfig,
-    SpeechAdaptationInfo,
-    SpeechContext,
-    SpeechRecognitionAlternative,
-    SpeechRecognitionResult,
-    StreamingRecognitionConfig,
-    StreamingRecognitionResult,
-    StreamingRecognizeRequest,
-    StreamingRecognizeResponse,
-    TranscriptOutputConfig,
-    WordInfo,
-)
-from .cloud_speech_adaptation import (
-    CreateCustomClassRequest,
-    CreatePhraseSetRequest,
-    DeleteCustomClassRequest,
-    DeletePhraseSetRequest,
-    GetCustomClassRequest,
-    GetPhraseSetRequest,
-    ListCustomClassesRequest,
-    ListCustomClassesResponse,
-    ListPhraseSetRequest,
-    ListPhraseSetResponse,
-    UpdateCustomClassRequest,
-    UpdatePhraseSetRequest,
-)
-from .resource import (
-    CustomClass,
-    PhraseSet,
-    SpeechAdaptation,
-)
-
-__all__ = (
-    "LongRunningRecognizeMetadata",
-    "LongRunningRecognizeRequest",
-    "LongRunningRecognizeResponse",
-    "RecognitionAudio",
-    "RecognitionConfig",
-    "RecognitionMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptationInfo",
-    "SpeechContext",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "TranscriptOutputConfig",
-    "WordInfo",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetRequest",
-    "ListPhraseSetResponse",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "CustomClass",
-    "PhraseSet",
-    "SpeechAdaptation",
-)
diff --git a/google/cloud/speech_v1/types/cloud_speech.py b/google/cloud/speech_v1/types/cloud_speech.py
deleted file mode 100644
index c8fdb44c..00000000
--- a/google/cloud/speech_v1/types/cloud_speech.py
+++ /dev/null
@@ -1,1524 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.speech_v1.types import resource
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from google.protobuf import wrappers_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1",
-    manifest={
-        "RecognizeRequest",
-        "LongRunningRecognizeRequest",
-        "TranscriptOutputConfig",
-        "StreamingRecognizeRequest",
-        "StreamingRecognitionConfig",
-        "RecognitionConfig",
-        "SpeakerDiarizationConfig",
-        "RecognitionMetadata",
-        "SpeechContext",
-        "RecognitionAudio",
-        "RecognizeResponse",
-        "LongRunningRecognizeResponse",
-        "LongRunningRecognizeMetadata",
-        "StreamingRecognizeResponse",
-        "StreamingRecognitionResult",
-        "SpeechRecognitionResult",
-        "SpeechRecognitionAlternative",
-        "WordInfo",
-        "SpeechAdaptationInfo",
-    },
-)
-
-
-class RecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the ``Recognize``
-    method.
-
-    Attributes:
-        config (google.cloud.speech_v1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        audio (google.cloud.speech_v1.types.RecognitionAudio):
-            Required. The audio data to be recognized.
-    """
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    audio: "RecognitionAudio" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionAudio",
-    )
-
-
-class LongRunningRecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the
-    ``LongRunningRecognize`` method.
-
-    Attributes:
-        config (google.cloud.speech_v1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        audio (google.cloud.speech_v1.types.RecognitionAudio):
-            Required. The audio data to be recognized.
-        output_config (google.cloud.speech_v1.types.TranscriptOutputConfig):
-            Optional. Specifies an optional destination
-            for the recognition results.
-    """
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    audio: "RecognitionAudio" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionAudio",
-    )
-    output_config: "TranscriptOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message="TranscriptOutputConfig",
-    )
-
-
-class TranscriptOutputConfig(proto.Message):
-    r"""Specifies an optional destination for the recognition
-    results.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        gcs_uri (str):
-            Specifies a Cloud Storage URI for the recognition results.
-            Must be specified in the format:
-            ``gs://bucket_name/object_name``, and the bucket must
-            already exist.
-
-            This field is a member of `oneof`_ ``output_type``.
-    """
-
-    gcs_uri: str = proto.Field(
-        proto.STRING,
-        number=1,
-        oneof="output_type",
-    )
-
-
-class StreamingRecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the
-    ``StreamingRecognize`` method. Multiple
-    ``StreamingRecognizeRequest`` messages are sent. The first message
-    must contain a ``streaming_config`` message and must not contain
-    ``audio_content``. All subsequent messages must contain
-    ``audio_content`` and must not contain a ``streaming_config``
-    message.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        streaming_config (google.cloud.speech_v1.types.StreamingRecognitionConfig):
-            Provides information to the recognizer that specifies how to
-            process the request. The first ``StreamingRecognizeRequest``
-            message must contain a ``streaming_config`` message.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-        audio_content (bytes):
-            The audio data to be recognized. Sequential chunks of audio
-            data are sent in sequential ``StreamingRecognizeRequest``
-            messages. The first ``StreamingRecognizeRequest`` message
-            must not contain ``audio_content`` data and all subsequent
-            ``StreamingRecognizeRequest`` messages must contain
-            ``audio_content`` data. The audio bytes must be encoded as
-            specified in ``RecognitionConfig``. Note: as with all bytes
-            fields, proto buffers use a pure binary representation (not
-            base64). See `content
-            limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-    """
-
-    streaming_config: "StreamingRecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        oneof="streaming_request",
-        message="StreamingRecognitionConfig",
-    )
-    audio_content: bytes = proto.Field(
-        proto.BYTES,
-        number=2,
-        oneof="streaming_request",
-    )
-
-
-class StreamingRecognitionConfig(proto.Message):
-    r"""Provides information to the recognizer that specifies how to
-    process the request.
-
-    Attributes:
-        config (google.cloud.speech_v1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        single_utterance (bool):
-            If ``false`` or omitted, the recognizer will perform
-            continuous recognition (continuing to wait for and process
-            audio even if the user pauses speaking) until the client
-            closes the input stream (gRPC API) or until the maximum time
-            limit has been reached. May return multiple
-            ``StreamingRecognitionResult``\ s with the ``is_final`` flag
-            set to ``true``.
-
-            If ``true``, the recognizer will detect a single spoken
-            utterance. When it detects that the user has paused or
-            stopped speaking, it will return an
-            ``END_OF_SINGLE_UTTERANCE`` event and cease recognition. It
-            will return no more than one ``StreamingRecognitionResult``
-            with the ``is_final`` flag set to ``true``.
-
-            The ``single_utterance`` field can only be used with
-            specified models, otherwise an error is thrown. The
-            ``model`` field in [``RecognitionConfig``][] must be set to:
-
-            -  ``command_and_search``
-            -  ``phone_call`` AND additional field
-               ``useEnhanced``\ =\ ``true``
-            -  The ``model`` field is left undefined. In this case the
-               API auto-selects a model based on any other parameters
-               that you set in ``RecognitionConfig``.
-        interim_results (bool):
-            If ``true``, interim results (tentative hypotheses) may be
-            returned as they become available (these interim results are
-            indicated with the ``is_final=false`` flag). If ``false`` or
-            omitted, only ``is_final=true`` result(s) are returned.
-        enable_voice_activity_events (bool):
-            If ``true``, responses with voice activity speech events
-            will be returned as they are detected.
-        voice_activity_timeout (google.cloud.speech_v1.types.StreamingRecognitionConfig.VoiceActivityTimeout):
-            If set, the server will automatically close the stream after
-            the specified duration has elapsed after the last
-            VOICE_ACTIVITY speech event has been sent. The field
-            ``voice_activity_events`` must also be set to true.
-    """
-
-    class VoiceActivityTimeout(proto.Message):
-        r"""Events that a timeout can be set on for voice activity.
-
-        Attributes:
-            speech_start_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream if no speech
-                begins.
-            speech_end_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream after speech
-                ends.
-        """
-
-        speech_start_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message=duration_pb2.Duration,
-        )
-        speech_end_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message=duration_pb2.Duration,
-        )
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    single_utterance: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    interim_results: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    enable_voice_activity_events: bool = proto.Field(
-        proto.BOOL,
-        number=5,
-    )
-    voice_activity_timeout: VoiceActivityTimeout = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=VoiceActivityTimeout,
-    )
-
-
-class RecognitionConfig(proto.Message):
-    r"""Provides information to the recognizer that specifies how to
-    process the request.
-
-    Attributes:
-        encoding (google.cloud.speech_v1.types.RecognitionConfig.AudioEncoding):
-            Encoding of audio data sent in all ``RecognitionAudio``
-            messages. This field is optional for ``FLAC`` and ``WAV``
-            audio files and required for all other audio formats. For
-            details, see
-            [AudioEncoding][google.cloud.speech.v1.RecognitionConfig.AudioEncoding].
-        sample_rate_hertz (int):
-            Sample rate in Hertz of the audio data sent in all
-            ``RecognitionAudio`` messages. Valid values are: 8000-48000.
-            16000 is optimal. For best results, set the sampling rate of
-            the audio source to 16000 Hz. If that's not possible, use
-            the native sample rate of the audio source (instead of
-            re-sampling). This field is optional for FLAC and WAV audio
-            files, but is required for all other audio formats. For
-            details, see
-            [AudioEncoding][google.cloud.speech.v1.RecognitionConfig.AudioEncoding].
-        audio_channel_count (int):
-            The number of channels in the input audio data. ONLY set
-            this for MULTI-CHANNEL recognition. Valid values for
-            LINEAR16, OGG_OPUS and FLAC are ``1``-``8``. Valid value for
-            MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only ``1``.
-            If ``0`` or omitted, defaults to one channel (mono). Note:
-            We only recognize the first channel by default. To perform
-            independent recognition on each channel set
-            ``enable_separate_recognition_per_channel`` to 'true'.
-        enable_separate_recognition_per_channel (bool):
-            This needs to be set to ``true`` explicitly and
-            ``audio_channel_count`` > 1 to get each channel recognized
-            separately. The recognition result will contain a
-            ``channel_tag`` field to state which channel that result
-            belongs to. If this is not true, we will only recognize the
-            first channel. The request is billed cumulatively for all
-            channels recognized: ``audio_channel_count`` multiplied by
-            the length of the audio.
-        language_code (str):
-            Required. The language of the supplied audio as a
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag. Example: "en-US". See `Language
-            Support <https://cloud.google.com/speech-to-text/docs/languages>`__
-            for a list of the currently supported language codes.
-        alternative_language_codes (MutableSequence[str]):
-            A list of up to 3 additional
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tags, listing possible alternative languages of the
-            supplied audio. See `Language
-            Support <https://cloud.google.com/speech-to-text/docs/languages>`__
-            for a list of the currently supported language codes. If
-            alternative languages are listed, recognition result will
-            contain recognition in the most likely language detected
-            including the main language_code. The recognition result
-            will include the language tag of the language detected in
-            the audio. Note: This feature is only supported for Voice
-            Command and Voice Search use cases and performance may vary
-            for other use cases (e.g., phone call transcription).
-        max_alternatives (int):
-            Maximum number of recognition hypotheses to be returned.
-            Specifically, the maximum number of
-            ``SpeechRecognitionAlternative`` messages within each
-            ``SpeechRecognitionResult``. The server may return fewer
-            than ``max_alternatives``. Valid values are ``0``-``30``. A
-            value of ``0`` or ``1`` will return a maximum of one. If
-            omitted, will return a maximum of one.
-        profanity_filter (bool):
-            If set to ``true``, the server will attempt to filter out
-            profanities, replacing all but the initial character in each
-            filtered word with asterisks, e.g. "f***". If set to
-            ``false`` or omitted, profanities won't be filtered out.
-        adaptation (google.cloud.speech_v1.types.SpeechAdaptation):
-            Speech adaptation configuration improves the accuracy of
-            speech recognition. For more information, see the `speech
-            adaptation <https://cloud.google.com/speech-to-text/docs/adaptation>`__
-            documentation. When speech adaptation is set it supersedes
-            the ``speech_contexts`` field.
-        speech_contexts (MutableSequence[google.cloud.speech_v1.types.SpeechContext]):
-            Array of
-            [SpeechContext][google.cloud.speech.v1.SpeechContext]. A
-            means to provide context to assist the speech recognition.
-            For more information, see `speech
-            adaptation <https://cloud.google.com/speech-to-text/docs/adaptation>`__.
-        enable_word_time_offsets (bool):
-            If ``true``, the top result includes a list of words and the
-            start and end time offsets (timestamps) for those words. If
-            ``false``, no word-level time offset information is
-            returned. The default is ``false``.
-        enable_word_confidence (bool):
-            If ``true``, the top result includes a list of words and the
-            confidence for those words. If ``false``, no word-level
-            confidence information is returned. The default is
-            ``false``.
-        enable_automatic_punctuation (bool):
-            If 'true', adds punctuation to recognition
-            result hypotheses. This feature is only
-            available in select languages. Setting this for
-            requests in other languages has no effect at
-            all. The default 'false' value does not add
-            punctuation to result hypotheses.
-        enable_spoken_punctuation (google.protobuf.wrappers_pb2.BoolValue):
-            The spoken punctuation behavior for the call If not set,
-            uses default behavior based on model of choice e.g.
-            command_and_search will enable spoken punctuation by default
-            If 'true', replaces spoken punctuation with the
-            corresponding symbols in the request. For example, "how are
-            you question mark" becomes "how are you?". See
-            https://cloud.google.com/speech-to-text/docs/spoken-punctuation
-            for support. If 'false', spoken punctuation is not replaced.
-        enable_spoken_emojis (google.protobuf.wrappers_pb2.BoolValue):
-            The spoken emoji behavior for the call
-            If not set, uses default behavior based on model
-            of choice If 'true', adds spoken emoji
-            formatting for the request. This will replace
-            spoken emojis with the corresponding Unicode
-            symbols in the final transcript. If 'false',
-            spoken emojis are not replaced.
-        diarization_config (google.cloud.speech_v1.types.SpeakerDiarizationConfig):
-            Config to enable speaker diarization and set
-            additional parameters to make diarization better
-            suited for your application. Note: When this is
-            enabled, we send all the words from the
-            beginning of the audio for the top alternative
-            in every consecutive STREAMING responses. This
-            is done in order to improve our speaker tags as
-            our models learn to identify the speakers in the
-            conversation over time. For non-streaming
-            requests, the diarization results will be
-            provided only in the top alternative of the
-            FINAL SpeechRecognitionResult.
-        metadata (google.cloud.speech_v1.types.RecognitionMetadata):
-            Metadata regarding this request.
-        model (str):
-            Which model to select for the given request. Select the
-            model best suited to your domain to get best results. If a
-            model is not explicitly specified, then we auto-select a
-            model based on the parameters in the RecognitionConfig.
-
-            .. raw:: html
-
-                <table>
-                  <tr>
-                    <td><b>Model</b></td>
-                    <td><b>Description</b></td>
-                  </tr>
-                  <tr>
-                    <td><code>latest_long</code></td>
-                    <td>Best for long form content like media or conversation.</td>
-                  </tr>
-                  <tr>
-                    <td><code>latest_short</code></td>
-                    <td>Best for short form content like commands or single shot directed
-                    speech.</td>
-                  </tr>
-                  <tr>
-                    <td><code>command_and_search</code></td>
-                    <td>Best for short queries such as voice commands or voice search.</td>
-                  </tr>
-                  <tr>
-                    <td><code>phone_call</code></td>
-                    <td>Best for audio that originated from a phone call (typically
-                    recorded at an 8khz sampling rate).</td>
-                  </tr>
-                  <tr>
-                    <td><code>video</code></td>
-                    <td>Best for audio that originated from video or includes multiple
-                        speakers. Ideally the audio is recorded at a 16khz or greater
-                        sampling rate. This is a premium model that costs more than the
-                        standard rate.</td>
-                  </tr>
-                  <tr>
-                    <td><code>default</code></td>
-                    <td>Best for audio that is not one of the specific audio models.
-                        For example, long-form audio. Ideally the audio is high-fidelity,
-                        recorded at a 16khz or greater sampling rate.</td>
-                  </tr>
-                  <tr>
-                    <td><code>medical_conversation</code></td>
-                    <td>Best for audio that originated from a conversation between a
-                        medical provider and patient.</td>
-                  </tr>
-                  <tr>
-                    <td><code>medical_dictation</code></td>
-                    <td>Best for audio that originated from dictation notes by a medical
-                        provider.</td>
-                  </tr>
-                </table>
-        use_enhanced (bool):
-            Set to true to use an enhanced model for speech recognition.
-            If ``use_enhanced`` is set to true and the ``model`` field
-            is not set, then an appropriate enhanced model is chosen if
-            an enhanced model exists for the audio.
-
-            If ``use_enhanced`` is true and an enhanced version of the
-            specified model does not exist, then the speech is
-            recognized using the standard version of the specified
-            model.
-    """
-
-    class AudioEncoding(proto.Enum):
-        r"""The encoding of the audio data sent in the request.
-
-        All encodings support only 1 channel (mono) audio, unless the
-        ``audio_channel_count`` and
-        ``enable_separate_recognition_per_channel`` fields are set.
-
-        For best results, the audio source should be captured and
-        transmitted using a lossless encoding (``FLAC`` or ``LINEAR16``).
-        The accuracy of the speech recognition can be reduced if lossy
-        codecs are used to capture or transmit audio, particularly if
-        background noise is present. Lossy codecs include ``MULAW``,
-        ``AMR``, ``AMR_WB``, ``OGG_OPUS``, ``SPEEX_WITH_HEADER_BYTE``,
-        ``MP3``, and ``WEBM_OPUS``.
-
-        The ``FLAC`` and ``WAV`` audio file formats include a header that
-        describes the included audio content. You can request recognition
-        for ``WAV`` files that contain either ``LINEAR16`` or ``MULAW``
-        encoded audio. If you send ``FLAC`` or ``WAV`` audio file format in
-        your request, you do not need to specify an ``AudioEncoding``; the
-        audio encoding format is determined from the file header. If you
-        specify an ``AudioEncoding`` when you send send ``FLAC`` or ``WAV``
-        audio, the encoding configuration must match the encoding described
-        in the audio header; otherwise the request returns an
-        [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]
-        error code.
-
-        Values:
-            ENCODING_UNSPECIFIED (0):
-                Not specified.
-            LINEAR16 (1):
-                Uncompressed 16-bit signed little-endian
-                samples (Linear PCM).
-            FLAC (2):
-                ``FLAC`` (Free Lossless Audio Codec) is the recommended
-                encoding because it is lossless--therefore recognition is
-                not compromised--and requires only about half the bandwidth
-                of ``LINEAR16``. ``FLAC`` stream encoding supports 16-bit
-                and 24-bit samples, however, not all fields in
-                ``STREAMINFO`` are supported.
-            MULAW (3):
-                8-bit samples that compand 14-bit audio
-                samples using G.711 PCMU/mu-law.
-            AMR (4):
-                Adaptive Multi-Rate Narrowband codec. ``sample_rate_hertz``
-                must be 8000.
-            AMR_WB (5):
-                Adaptive Multi-Rate Wideband codec. ``sample_rate_hertz``
-                must be 16000.
-            OGG_OPUS (6):
-                Opus encoded audio frames in Ogg container
-                (`OggOpus <https://wiki.xiph.org/OggOpus>`__).
-                ``sample_rate_hertz`` must be one of 8000, 12000, 16000,
-                24000, or 48000.
-            SPEEX_WITH_HEADER_BYTE (7):
-                Although the use of lossy encodings is not recommended, if a
-                very low bitrate encoding is required, ``OGG_OPUS`` is
-                highly preferred over Speex encoding. The
-                `Speex <https://speex.org/>`__ encoding supported by Cloud
-                Speech API has a header byte in each block, as in MIME type
-                ``audio/x-speex-with-header-byte``. It is a variant of the
-                RTP Speex encoding defined in `RFC
-                5574 <https://tools.ietf.org/html/rfc5574>`__. The stream is
-                a sequence of blocks, one block per RTP packet. Each block
-                starts with a byte containing the length of the block, in
-                bytes, followed by one or more frames of Speex data, padded
-                to an integral number of bytes (octets) as specified in RFC
-                5574. In other words, each RTP header is replaced with a
-                single byte containing the block length. Only Speex wideband
-                is supported. ``sample_rate_hertz`` must be 16000.
-            WEBM_OPUS (9):
-                Opus encoded audio frames in WebM container
-                (`OggOpus <https://wiki.xiph.org/OggOpus>`__).
-                ``sample_rate_hertz`` must be one of 8000, 12000, 16000,
-                24000, or 48000.
-        """
-        ENCODING_UNSPECIFIED = 0
-        LINEAR16 = 1
-        FLAC = 2
-        MULAW = 3
-        AMR = 4
-        AMR_WB = 5
-        OGG_OPUS = 6
-        SPEEX_WITH_HEADER_BYTE = 7
-        WEBM_OPUS = 9
-
-    encoding: AudioEncoding = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=AudioEncoding,
-    )
-    sample_rate_hertz: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    audio_channel_count: int = proto.Field(
-        proto.INT32,
-        number=7,
-    )
-    enable_separate_recognition_per_channel: bool = proto.Field(
-        proto.BOOL,
-        number=12,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    alternative_language_codes: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=18,
-    )
-    max_alternatives: int = proto.Field(
-        proto.INT32,
-        number=4,
-    )
-    profanity_filter: bool = proto.Field(
-        proto.BOOL,
-        number=5,
-    )
-    adaptation: resource.SpeechAdaptation = proto.Field(
-        proto.MESSAGE,
-        number=20,
-        message=resource.SpeechAdaptation,
-    )
-    speech_contexts: MutableSequence["SpeechContext"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=6,
-        message="SpeechContext",
-    )
-    enable_word_time_offsets: bool = proto.Field(
-        proto.BOOL,
-        number=8,
-    )
-    enable_word_confidence: bool = proto.Field(
-        proto.BOOL,
-        number=15,
-    )
-    enable_automatic_punctuation: bool = proto.Field(
-        proto.BOOL,
-        number=11,
-    )
-    enable_spoken_punctuation: wrappers_pb2.BoolValue = proto.Field(
-        proto.MESSAGE,
-        number=22,
-        message=wrappers_pb2.BoolValue,
-    )
-    enable_spoken_emojis: wrappers_pb2.BoolValue = proto.Field(
-        proto.MESSAGE,
-        number=23,
-        message=wrappers_pb2.BoolValue,
-    )
-    diarization_config: "SpeakerDiarizationConfig" = proto.Field(
-        proto.MESSAGE,
-        number=19,
-        message="SpeakerDiarizationConfig",
-    )
-    metadata: "RecognitionMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message="RecognitionMetadata",
-    )
-    model: str = proto.Field(
-        proto.STRING,
-        number=13,
-    )
-    use_enhanced: bool = proto.Field(
-        proto.BOOL,
-        number=14,
-    )
-
-
-class SpeakerDiarizationConfig(proto.Message):
-    r"""Config to enable speaker diarization.
-
-    Attributes:
-        enable_speaker_diarization (bool):
-            If 'true', enables speaker detection for each recognized
-            word in the top alternative of the recognition result using
-            a speaker_tag provided in the WordInfo.
-        min_speaker_count (int):
-            Minimum number of speakers in the
-            conversation. This range gives you more
-            flexibility by allowing the system to
-            automatically determine the correct number of
-            speakers. If not set, the default value is 2.
-        max_speaker_count (int):
-            Maximum number of speakers in the
-            conversation. This range gives you more
-            flexibility by allowing the system to
-            automatically determine the correct number of
-            speakers. If not set, the default value is 6.
-        speaker_tag (int):
-            Output only. Unused.
-    """
-
-    enable_speaker_diarization: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    min_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    max_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-    speaker_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-
-
-class RecognitionMetadata(proto.Message):
-    r"""Description of audio data to be recognized.
-
-    Attributes:
-        interaction_type (google.cloud.speech_v1.types.RecognitionMetadata.InteractionType):
-            The use case most closely describing the
-            audio content to be recognized.
-        industry_naics_code_of_audio (int):
-            The industry vertical to which this speech
-            recognition request most closely applies. This
-            is most indicative of the topics contained in
-            the audio.  Use the 6-digit NAICS code to
-            identify the industry vertical - see
-            https://www.naics.com/search/.
-        microphone_distance (google.cloud.speech_v1.types.RecognitionMetadata.MicrophoneDistance):
-            The audio type that most closely describes
-            the audio being recognized.
-        original_media_type (google.cloud.speech_v1.types.RecognitionMetadata.OriginalMediaType):
-            The original media the speech was recorded
-            on.
-        recording_device_type (google.cloud.speech_v1.types.RecognitionMetadata.RecordingDeviceType):
-            The type of device the speech was recorded
-            with.
-        recording_device_name (str):
-            The device used to make the recording.
-            Examples 'Nexus 5X' or 'Polycom SoundStation IP
-            6000' or 'POTS' or 'VoIP' or 'Cardioid
-            Microphone'.
-        original_mime_type (str):
-            Mime type of the original audio file. For example
-            ``audio/m4a``, ``audio/x-alaw-basic``, ``audio/mp3``,
-            ``audio/3gpp``. A list of possible audio mime types is
-            maintained at
-            http://www.iana.org/assignments/media-types/media-types.xhtml#audio
-        audio_topic (str):
-            Description of the content. Eg. "Recordings
-            of federal supreme court hearings from 2012".
-    """
-
-    class InteractionType(proto.Enum):
-        r"""Use case categories that the audio recognition request can be
-        described by.
-
-        Values:
-            INTERACTION_TYPE_UNSPECIFIED (0):
-                Use case is either unknown or is something
-                other than one of the other values below.
-            DISCUSSION (1):
-                Multiple people in a conversation or discussion. For example
-                in a meeting with two or more people actively participating.
-                Typically all the primary people speaking would be in the
-                same room (if not, see PHONE_CALL)
-            PRESENTATION (2):
-                One or more persons lecturing or presenting
-                to others, mostly uninterrupted.
-            PHONE_CALL (3):
-                A phone-call or video-conference in which two
-                or more people, who are not in the same room,
-                are actively participating.
-            VOICEMAIL (4):
-                A recorded message intended for another
-                person to listen to.
-            PROFESSIONALLY_PRODUCED (5):
-                Professionally produced audio (eg. TV Show,
-                Podcast).
-            VOICE_SEARCH (6):
-                Transcribe spoken questions and queries into
-                text.
-            VOICE_COMMAND (7):
-                Transcribe voice commands, such as for
-                controlling a device.
-            DICTATION (8):
-                Transcribe speech to text to create a written
-                document, such as a text-message, email or
-                report.
-        """
-        INTERACTION_TYPE_UNSPECIFIED = 0
-        DISCUSSION = 1
-        PRESENTATION = 2
-        PHONE_CALL = 3
-        VOICEMAIL = 4
-        PROFESSIONALLY_PRODUCED = 5
-        VOICE_SEARCH = 6
-        VOICE_COMMAND = 7
-        DICTATION = 8
-
-    class MicrophoneDistance(proto.Enum):
-        r"""Enumerates the types of capture settings describing an audio
-        file.
-
-        Values:
-            MICROPHONE_DISTANCE_UNSPECIFIED (0):
-                Audio type is not known.
-            NEARFIELD (1):
-                The audio was captured from a closely placed
-                microphone. Eg. phone, dictaphone, or handheld
-                microphone. Generally if there speaker is within
-                1 meter of the microphone.
-            MIDFIELD (2):
-                The speaker if within 3 meters of the
-                microphone.
-            FARFIELD (3):
-                The speaker is more than 3 meters away from
-                the microphone.
-        """
-        MICROPHONE_DISTANCE_UNSPECIFIED = 0
-        NEARFIELD = 1
-        MIDFIELD = 2
-        FARFIELD = 3
-
-    class OriginalMediaType(proto.Enum):
-        r"""The original media the speech was recorded on.
-
-        Values:
-            ORIGINAL_MEDIA_TYPE_UNSPECIFIED (0):
-                Unknown original media type.
-            AUDIO (1):
-                The speech data is an audio recording.
-            VIDEO (2):
-                The speech data originally recorded on a
-                video.
-        """
-        ORIGINAL_MEDIA_TYPE_UNSPECIFIED = 0
-        AUDIO = 1
-        VIDEO = 2
-
-    class RecordingDeviceType(proto.Enum):
-        r"""The type of device the speech was recorded with.
-
-        Values:
-            RECORDING_DEVICE_TYPE_UNSPECIFIED (0):
-                The recording device is unknown.
-            SMARTPHONE (1):
-                Speech was recorded on a smartphone.
-            PC (2):
-                Speech was recorded using a personal computer
-                or tablet.
-            PHONE_LINE (3):
-                Speech was recorded over a phone line.
-            VEHICLE (4):
-                Speech was recorded in a vehicle.
-            OTHER_OUTDOOR_DEVICE (5):
-                Speech was recorded outdoors.
-            OTHER_INDOOR_DEVICE (6):
-                Speech was recorded indoors.
-        """
-        RECORDING_DEVICE_TYPE_UNSPECIFIED = 0
-        SMARTPHONE = 1
-        PC = 2
-        PHONE_LINE = 3
-        VEHICLE = 4
-        OTHER_OUTDOOR_DEVICE = 5
-        OTHER_INDOOR_DEVICE = 6
-
-    interaction_type: InteractionType = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=InteractionType,
-    )
-    industry_naics_code_of_audio: int = proto.Field(
-        proto.UINT32,
-        number=3,
-    )
-    microphone_distance: MicrophoneDistance = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=MicrophoneDistance,
-    )
-    original_media_type: OriginalMediaType = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=OriginalMediaType,
-    )
-    recording_device_type: RecordingDeviceType = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=RecordingDeviceType,
-    )
-    recording_device_name: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    original_mime_type: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    audio_topic: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-
-
-class SpeechContext(proto.Message):
-    r"""Provides "hints" to the speech recognizer to favor specific
-    words and phrases in the results.
-
-    Attributes:
-        phrases (MutableSequence[str]):
-            A list of strings containing words and phrases "hints" so
-            that the speech recognition is more likely to recognize
-            them. This can be used to improve the accuracy for specific
-            words and phrases, for example, if specific commands are
-            typically spoken by the user. This can also be used to add
-            additional words to the vocabulary of the recognizer. See
-            `usage
-            limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-            List items can also be set to classes for groups of words
-            that represent common concepts that occur in natural
-            language. For example, rather than providing phrase hints
-            for every month of the year, using the $MONTH class improves
-            the likelihood of correctly transcribing audio that includes
-            months.
-        boost (float):
-            Hint Boost. Positive value will increase the probability
-            that a specific phrase will be recognized over other similar
-            sounding phrases. The higher the boost, the higher the
-            chance of false positive recognition as well. Negative boost
-            values would correspond to anti-biasing. Anti-biasing is not
-            enabled, so negative boost will simply be ignored. Though
-            ``boost`` can accept a wide range of positive values, most
-            use cases are best served with values between 0 and 20. We
-            recommend using a binary search approach to finding the
-            optimal value for your use case.
-    """
-
-    phrases: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=1,
-    )
-    boost: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-
-
-class RecognitionAudio(proto.Message):
-    r"""Contains audio data in the encoding specified in the
-    ``RecognitionConfig``. Either ``content`` or ``uri`` must be
-    supplied. Supplying both or neither returns
-    [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
-    See `content
-    limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        content (bytes):
-            The audio data bytes encoded as specified in
-            ``RecognitionConfig``. Note: as with all bytes fields, proto
-            buffers use a pure binary representation, whereas JSON
-            representations use base64.
-
-            This field is a member of `oneof`_ ``audio_source``.
-        uri (str):
-            URI that points to a file that contains audio data bytes as
-            specified in ``RecognitionConfig``. The file must not be
-            compressed (for example, gzip). Currently, only Google Cloud
-            Storage URIs are supported, which must be specified in the
-            following format: ``gs://bucket_name/object_name`` (other
-            URI formats return
-            [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]).
-            For more information, see `Request
-            URIs <https://cloud.google.com/storage/docs/reference-uris>`__.
-
-            This field is a member of `oneof`_ ``audio_source``.
-    """
-
-    content: bytes = proto.Field(
-        proto.BYTES,
-        number=1,
-        oneof="audio_source",
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=2,
-        oneof="audio_source",
-    )
-
-
-class RecognizeResponse(proto.Message):
-    r"""The only message returned to the client by the ``Recognize`` method.
-    It contains the result as zero or more sequential
-    ``SpeechRecognitionResult`` messages.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v1.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-        speech_adaptation_info (google.cloud.speech_v1.types.SpeechAdaptationInfo):
-            Provides information on adaptation behavior
-            in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="SpeechRecognitionResult",
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=duration_pb2.Duration,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=8,
-    )
-
-
-class LongRunningRecognizeResponse(proto.Message):
-    r"""The only message returned to the client by the
-    ``LongRunningRecognize`` method. It contains the result as zero or
-    more sequential ``SpeechRecognitionResult`` messages. It is included
-    in the ``result.response`` field of the ``Operation`` returned by
-    the ``GetOperation`` call of the ``google::longrunning::Operations``
-    service.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v1.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-        output_config (google.cloud.speech_v1.types.TranscriptOutputConfig):
-            Original output config if present in the
-            request.
-        output_error (google.rpc.status_pb2.Status):
-            If the transcript output fails this field
-            contains the relevant error.
-        speech_adaptation_info (google.cloud.speech_v1.types.SpeechAdaptationInfo):
-            Provides information on speech adaptation
-            behavior in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="SpeechRecognitionResult",
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=duration_pb2.Duration,
-    )
-    output_config: "TranscriptOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message="TranscriptOutputConfig",
-    )
-    output_error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=status_pb2.Status,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=9,
-    )
-
-
-class LongRunningRecognizeMetadata(proto.Message):
-    r"""Describes the progress of a long-running ``LongRunningRecognize``
-    call. It is included in the ``metadata`` field of the ``Operation``
-    returned by the ``GetOperation`` call of the
-    ``google::longrunning::Operations`` service.
-
-    Attributes:
-        progress_percent (int):
-            Approximate percentage of audio processed
-            thus far. Guaranteed to be 100 when the audio is
-            fully processed and the results are available.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            Time when the request was received.
-        last_update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Time of the most recent processing update.
-        uri (str):
-            Output only. The URI of the audio file being
-            transcribed. Empty if the audio was sent as byte
-            content.
-    """
-
-    progress_percent: int = proto.Field(
-        proto.INT32,
-        number=1,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=timestamp_pb2.Timestamp,
-    )
-    last_update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class StreamingRecognizeResponse(proto.Message):
-    r"""``StreamingRecognizeResponse`` is the only message returned to the
-    client by ``StreamingRecognize``. A series of zero or more
-    ``StreamingRecognizeResponse`` messages are streamed back to the
-    client. If there is no recognizable audio, and ``single_utterance``
-    is set to false, then no messages are streamed back to the client.
-
-    Here's an example of a series of ``StreamingRecognizeResponse``\ s
-    that might be returned while processing audio:
-
-    1. results { alternatives { transcript: "tube" } stability: 0.01 }
-
-    2. results { alternatives { transcript: "to be a" } stability: 0.01
-       }
-
-    3. results { alternatives { transcript: "to be" } stability: 0.9 }
-       results { alternatives { transcript: " or not to be" } stability:
-       0.01 }
-
-    4. results { alternatives { transcript: "to be or not to be"
-       confidence: 0.92 } alternatives { transcript: "to bee or not to
-       bee" } is_final: true }
-
-    5. results { alternatives { transcript: " that's" } stability: 0.01
-       }
-
-    6. results { alternatives { transcript: " that is" } stability: 0.9
-       } results { alternatives { transcript: " the question" }
-       stability: 0.01 }
-
-    7. results { alternatives { transcript: " that is the question"
-       confidence: 0.98 } alternatives { transcript: " that was the
-       question" } is_final: true }
-
-    Notes:
-
-    -  Only two of the above responses #4 and #7 contain final results;
-       they are indicated by ``is_final: true``. Concatenating these
-       together generates the full transcript: "to be or not to be that
-       is the question".
-
-    -  The others contain interim ``results``. #3 and #6 contain two
-       interim ``results``: the first portion has a high stability and
-       is less likely to change; the second portion has a low stability
-       and is very likely to change. A UI designer might choose to show
-       only high stability ``results``.
-
-    -  The specific ``stability`` and ``confidence`` values shown above
-       are only for illustrative purposes. Actual values may vary.
-
-    -  In each response, only one of these fields will be set:
-       ``error``, ``speech_event_type``, or one or more (repeated)
-       ``results``.
-
-    Attributes:
-        error (google.rpc.status_pb2.Status):
-            If set, returns a [google.rpc.Status][google.rpc.Status]
-            message that specifies the error for the operation.
-        results (MutableSequence[google.cloud.speech_v1.types.StreamingRecognitionResult]):
-            This repeated list contains zero or more results that
-            correspond to consecutive portions of the audio currently
-            being processed. It contains zero or one ``is_final=true``
-            result (the newly settled portion), followed by zero or more
-            ``is_final=false`` results (the interim results).
-        speech_event_type (google.cloud.speech_v1.types.StreamingRecognizeResponse.SpeechEventType):
-            Indicates the type of speech event.
-        speech_event_time (google.protobuf.duration_pb2.Duration):
-            Time offset between the beginning of the
-            audio and event emission.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            stream. Set only if this is the last response in
-            the stream.
-        speech_adaptation_info (google.cloud.speech_v1.types.SpeechAdaptationInfo):
-            Provides information on adaptation behavior
-            in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    class SpeechEventType(proto.Enum):
-        r"""Indicates the type of speech event.
-
-        Values:
-            SPEECH_EVENT_UNSPECIFIED (0):
-                No speech event specified.
-            END_OF_SINGLE_UTTERANCE (1):
-                This event indicates that the server has detected the end of
-                the user's speech utterance and expects no additional
-                speech. Therefore, the server will not process additional
-                audio (although it may subsequently return additional
-                results). The client should stop sending additional audio
-                data, half-close the gRPC connection, and wait for any
-                additional results until the server closes the gRPC
-                connection. This event is only sent if ``single_utterance``
-                was set to ``true``, and is not used otherwise.
-            SPEECH_ACTIVITY_BEGIN (2):
-                This event indicates that the server has detected the
-                beginning of human voice activity in the stream. This event
-                can be returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-            SPEECH_ACTIVITY_END (3):
-                This event indicates that the server has detected the end of
-                human voice activity in the stream. This event can be
-                returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-            SPEECH_ACTIVITY_TIMEOUT (4):
-                This event indicates that the user-set
-                timeout for speech activity begin or end has
-                exceeded. Upon receiving this event, the client
-                is expected to send a half close. Further audio
-                will not be processed.
-        """
-        SPEECH_EVENT_UNSPECIFIED = 0
-        END_OF_SINGLE_UTTERANCE = 1
-        SPEECH_ACTIVITY_BEGIN = 2
-        SPEECH_ACTIVITY_END = 3
-        SPEECH_ACTIVITY_TIMEOUT = 4
-
-    error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=status_pb2.Status,
-    )
-    results: MutableSequence["StreamingRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="StreamingRecognitionResult",
-    )
-    speech_event_type: SpeechEventType = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=SpeechEventType,
-    )
-    speech_event_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=duration_pb2.Duration,
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=duration_pb2.Duration,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=10,
-    )
-
-
-class StreamingRecognitionResult(proto.Message):
-    r"""A streaming speech recognition result corresponding to a
-    portion of the audio that is currently being processed.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v1.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition hypotheses (up to the
-            maximum specified in ``max_alternatives``). These
-            alternatives are ordered in terms of accuracy, with the top
-            (first) alternative being the most probable, as ranked by
-            the recognizer.
-        is_final (bool):
-            If ``false``, this ``StreamingRecognitionResult`` represents
-            an interim result that may change. If ``true``, this is the
-            final time the speech service will return this particular
-            ``StreamingRecognitionResult``, the recognizer will not
-            return any further hypotheses for this portion of the
-            transcript and corresponding audio.
-        stability (float):
-            An estimate of the likelihood that the recognizer will not
-            change its guess about this interim result. Values range
-            from 0.0 (completely unstable) to 1.0 (completely stable).
-            This field is only provided for interim results
-            (``is_final=false``). The default of 0.0 is a sentinel value
-            indicating ``stability`` was not set.
-        result_end_time (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For audio_channel_count = N, its output values
-            can range from '1' to 'N'.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    is_final: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    stability: float = proto.Field(
-        proto.FLOAT,
-        number=3,
-    )
-    result_end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-
-
-class SpeechRecognitionResult(proto.Message):
-    r"""A speech recognition result corresponding to a portion of the
-    audio.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v1.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition hypotheses (up to the
-            maximum specified in ``max_alternatives``). These
-            alternatives are ordered in terms of accuracy, with the top
-            (first) alternative being the most probable, as ranked by
-            the recognizer.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For audio_channel_count = N, its output values
-            can range from '1' to 'N'.
-        result_end_time (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    result_end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class SpeechRecognitionAlternative(proto.Message):
-    r"""Alternative hypotheses (a.k.a. n-best list).
-
-    Attributes:
-        transcript (str):
-            Transcript text representing the words that
-            the user spoke. In languages that use spaces to
-            separate words, the transcript might have a
-            leading space if it isn't the first result. You
-            can concatenate each result to obtain the full
-            transcript without using a separator.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where ``is_final=true``. This field is not guaranteed
-            to be accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        words (MutableSequence[google.cloud.speech_v1.types.WordInfo]):
-            A list of word-specific information for each recognized
-            word. Note: When ``enable_speaker_diarization`` is true, you
-            will see all the words from the beginning of the audio.
-    """
-
-    transcript: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=2,
-    )
-    words: MutableSequence["WordInfo"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="WordInfo",
-    )
-
-
-class WordInfo(proto.Message):
-    r"""Word-specific information for recognized words.
-
-    Attributes:
-        start_time (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the start of the spoken word. This field is
-            only set if ``enable_word_time_offsets=true`` and only in
-            the top hypothesis. This is an experimental feature and the
-            accuracy of the time offset can vary.
-        end_time (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the end of the spoken word. This field is
-            only set if ``enable_word_time_offsets=true`` and only in
-            the top hypothesis. This is an experimental feature and the
-            accuracy of the time offset can vary.
-        word (str):
-            The word corresponding to this set of
-            information.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where ``is_final=true``. This field is not guaranteed
-            to be accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        speaker_tag (int):
-            Output only. A distinct integer value is assigned for every
-            speaker within the audio. This field specifies which one of
-            those speakers was detected to have spoken this word. Value
-            ranges from '1' to diarization_speaker_count. speaker_tag is
-            set if enable_speaker_diarization = 'true' and only in the
-            top alternative.
-    """
-
-    start_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=duration_pb2.Duration,
-    )
-    end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=duration_pb2.Duration,
-    )
-    word: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-    speaker_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-
-
-class SpeechAdaptationInfo(proto.Message):
-    r"""Information on speech adaptation use in results
-
-    Attributes:
-        adaptation_timeout (bool):
-            Whether there was a timeout when applying
-            speech adaptation. If true, adaptation had no
-            effect in the response transcript.
-        timeout_message (str):
-            If set, returns a message specifying which
-            part of the speech adaptation request timed out.
-    """
-
-    adaptation_timeout: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    timeout_message: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v1/types/cloud_speech_adaptation.py b/google/cloud/speech_v1/types/cloud_speech_adaptation.py
deleted file mode 100644
index b93f13e6..00000000
--- a/google/cloud/speech_v1/types/cloud_speech_adaptation.py
+++ /dev/null
@@ -1,423 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.speech_v1.types import resource
-from google.protobuf import field_mask_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1",
-    manifest={
-        "CreatePhraseSetRequest",
-        "UpdatePhraseSetRequest",
-        "GetPhraseSetRequest",
-        "ListPhraseSetRequest",
-        "ListPhraseSetResponse",
-        "DeletePhraseSetRequest",
-        "CreateCustomClassRequest",
-        "UpdateCustomClassRequest",
-        "GetCustomClassRequest",
-        "ListCustomClassesRequest",
-        "ListCustomClassesResponse",
-        "DeleteCustomClassRequest",
-    },
-)
-
-
-class CreatePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``CreatePhraseSet`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent resource where this phrase set will be
-            created. Format:
-
-            ``projects/{project}/locations/{location}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        phrase_set_id (str):
-            Required. The ID to use for the phrase set,
-            which will become the final component of the
-            phrase set's resource name.
-
-            This value should restrict to letters, numbers,
-            and hyphens, with the first character a letter,
-            the last a letter or a number, and be 4-63
-            characters.
-        phrase_set (google.cloud.speech_v1.types.PhraseSet):
-            Required. The phrase set to create.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    phrase_set_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    phrase_set: resource.PhraseSet = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resource.PhraseSet,
-    )
-
-
-class UpdatePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``UpdatePhraseSet`` method.
-
-    Attributes:
-        phrase_set (google.cloud.speech_v1.types.PhraseSet):
-            Required. The phrase set to update.
-
-            The phrase set's ``name`` field is used to identify the set
-            to be updated. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated.
-    """
-
-    phrase_set: resource.PhraseSet = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=resource.PhraseSet,
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class GetPhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``GetPhraseSet`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the phrase set to retrieve. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListPhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``ListPhraseSet`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent, which owns this collection of phrase
-            set. Format:
-
-            ``projects/{project}/locations/{location}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        page_size (int):
-            The maximum number of phrase sets to return.
-            The service may return fewer than this value. If
-            unspecified, at most 50 phrase sets will be
-            returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            A page token, received from a previous ``ListPhraseSet``
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            ``ListPhraseSet`` must match the call that provided the page
-            token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListPhraseSetResponse(proto.Message):
-    r"""Message returned to the client by the ``ListPhraseSet`` method.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v1.types.PhraseSet]):
-            The phrase set.
-        next_page_token (str):
-            A token, which can be sent as ``page_token`` to retrieve the
-            next page. If this field is omitted, there are no subsequent
-            pages.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    phrase_sets: MutableSequence[resource.PhraseSet] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resource.PhraseSet,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class DeletePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``DeletePhraseSet`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the phrase set to delete. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``CreateCustomClass`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent resource where this custom class will
-            be created. Format:
-
-            ``projects/{project}/locations/{location}/customClasses``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        custom_class_id (str):
-            Required. The ID to use for the custom class,
-            which will become the final component of the
-            custom class' resource name.
-
-            This value should restrict to letters, numbers,
-            and hyphens, with the first character a letter,
-            the last a letter or a number, and be 4-63
-            characters.
-        custom_class (google.cloud.speech_v1.types.CustomClass):
-            Required. The custom class to create.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    custom_class_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    custom_class: resource.CustomClass = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resource.CustomClass,
-    )
-
-
-class UpdateCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``UpdateCustomClass`` method.
-
-    Attributes:
-        custom_class (google.cloud.speech_v1.types.CustomClass):
-            Required. The custom class to update.
-
-            The custom class's ``name`` field is used to identify the
-            custom class to be updated. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated.
-    """
-
-    custom_class: resource.CustomClass = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=resource.CustomClass,
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class GetCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``GetCustomClass`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the custom class to retrieve. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListCustomClassesRequest(proto.Message):
-    r"""Message sent by the client for the ``ListCustomClasses`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent, which owns this collection of custom
-            classes. Format:
-
-            ``projects/{project}/locations/{location}/customClasses``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        page_size (int):
-            The maximum number of custom classes to
-            return. The service may return fewer than this
-            value. If unspecified, at most 50 custom classes
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            A page token, received from a previous ``ListCustomClass``
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            ``ListCustomClass`` must match the call that provided the
-            page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListCustomClassesResponse(proto.Message):
-    r"""Message returned to the client by the ``ListCustomClasses`` method.
-
-    Attributes:
-        custom_classes (MutableSequence[google.cloud.speech_v1.types.CustomClass]):
-            The custom classes.
-        next_page_token (str):
-            A token, which can be sent as ``page_token`` to retrieve the
-            next page. If this field is omitted, there are no subsequent
-            pages.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    custom_classes: MutableSequence[resource.CustomClass] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resource.CustomClass,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class DeleteCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``DeleteCustomClass`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the custom class to delete. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v1/types/resource.py b/google/cloud/speech_v1/types/resource.py
deleted file mode 100644
index d55043a0..00000000
--- a/google/cloud/speech_v1/types/resource.py
+++ /dev/null
@@ -1,232 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1",
-    manifest={
-        "CustomClass",
-        "PhraseSet",
-        "SpeechAdaptation",
-    },
-)
-
-
-class CustomClass(proto.Message):
-    r"""A set of words or phrases that represents a common concept
-    likely to appear in your audio, for example a list of passenger
-    ship names. CustomClass items can be substituted into
-    placeholders that you set in PhraseSet phrases.
-
-    Attributes:
-        name (str):
-            The resource name of the custom class.
-        custom_class_id (str):
-            If this custom class is a resource, the custom_class_id is
-            the resource id of the CustomClass. Case sensitive.
-        items (MutableSequence[google.cloud.speech_v1.types.CustomClass.ClassItem]):
-            A collection of class items.
-    """
-
-    class ClassItem(proto.Message):
-        r"""An item of the class.
-
-        Attributes:
-            value (str):
-                The class item's value.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    custom_class_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    items: MutableSequence[ClassItem] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message=ClassItem,
-    )
-
-
-class PhraseSet(proto.Message):
-    r"""Provides "hints" to the speech recognizer to favor specific
-    words and phrases in the results.
-
-    Attributes:
-        name (str):
-            The resource name of the phrase set.
-        phrases (MutableSequence[google.cloud.speech_v1.types.PhraseSet.Phrase]):
-            A list of word and phrases.
-        boost (float):
-            Hint Boost. Positive value will increase the probability
-            that a specific phrase will be recognized over other similar
-            sounding phrases. The higher the boost, the higher the
-            chance of false positive recognition as well. Negative boost
-            values would correspond to anti-biasing. Anti-biasing is not
-            enabled, so negative boost will simply be ignored. Though
-            ``boost`` can accept a wide range of positive values, most
-            use cases are best served with values between 0 (exclusive)
-            and 20. We recommend using a binary search approach to
-            finding the optimal value for your use case as well as
-            adding phrases both with and without boost to your requests.
-    """
-
-    class Phrase(proto.Message):
-        r"""A phrases containing words and phrase "hints" so that the speech
-        recognition is more likely to recognize them. This can be used to
-        improve the accuracy for specific words and phrases, for example, if
-        specific commands are typically spoken by the user. This can also be
-        used to add additional words to the vocabulary of the recognizer.
-        See `usage
-        limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-        List items can also include pre-built or custom classes containing
-        groups of words that represent common concepts that occur in natural
-        language. For example, rather than providing a phrase hint for every
-        month of the year (e.g. "i was born in january", "i was born in
-        febuary", ...), use the pre-built ``$MONTH`` class improves the
-        likelihood of correctly transcribing audio that includes months
-        (e.g. "i was born in $month"). To refer to pre-built classes, use
-        the class' symbol prepended with ``$`` e.g. ``$MONTH``. To refer to
-        custom classes that were defined inline in the request, set the
-        class's ``custom_class_id`` to a string unique to all class
-        resources and inline classes. Then use the class' id wrapped in
-        $\ ``{...}`` e.g. "${my-months}". To refer to custom classes
-        resources, use the class' id wrapped in ``${}`` (e.g.
-        ``${my-months}``).
-
-        Speech-to-Text supports three locations: ``global``, ``us`` (US
-        North America), and ``eu`` (Europe). If you are calling the
-        ``speech.googleapis.com`` endpoint, use the ``global`` location. To
-        specify a region, use a `regional
-        endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-        with matching ``us`` or ``eu`` location value.
-
-        Attributes:
-            value (str):
-                The phrase itself.
-            boost (float):
-                Hint Boost. Overrides the boost set at the phrase set level.
-                Positive value will increase the probability that a specific
-                phrase will be recognized over other similar sounding
-                phrases. The higher the boost, the higher the chance of
-                false positive recognition as well. Negative boost will
-                simply be ignored. Though ``boost`` can accept a wide range
-                of positive values, most use cases are best served with
-                values between 0 and 20. We recommend using a binary search
-                approach to finding the optimal value for your use case as
-                well as adding phrases both with and without boost to your
-                requests.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        boost: float = proto.Field(
-            proto.FLOAT,
-            number=2,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    phrases: MutableSequence[Phrase] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message=Phrase,
-    )
-    boost: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-
-
-class SpeechAdaptation(proto.Message):
-    r"""Speech adaptation configuration.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v1.types.PhraseSet]):
-            A collection of phrase sets. To specify the hints inline,
-            leave the phrase set's ``name`` blank and fill in the rest
-            of its fields. Any phrase set can use any custom class.
-        phrase_set_references (MutableSequence[str]):
-            A collection of phrase set resource names to
-            use.
-        custom_classes (MutableSequence[google.cloud.speech_v1.types.CustomClass]):
-            A collection of custom classes. To specify the classes
-            inline, leave the class' ``name`` blank and fill in the rest
-            of its fields, giving it a unique ``custom_class_id``. Refer
-            to the inline defined class in phrase hints by its
-            ``custom_class_id``.
-        abnf_grammar (google.cloud.speech_v1.types.SpeechAdaptation.ABNFGrammar):
-            Augmented Backus-Naur form (ABNF) is a
-            standardized grammar notation comprised by a set
-            of derivation rules. See specifications:
-            https://www.w3.org/TR/speech-grammar
-    """
-
-    class ABNFGrammar(proto.Message):
-        r"""
-
-        Attributes:
-            abnf_strings (MutableSequence[str]):
-                All declarations and rules of an ABNF grammar
-                broken up into multiple strings that will end up
-                concatenated.
-        """
-
-        abnf_strings: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=1,
-        )
-
-    phrase_sets: MutableSequence["PhraseSet"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="PhraseSet",
-    )
-    phrase_set_references: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=2,
-    )
-    custom_classes: MutableSequence["CustomClass"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="CustomClass",
-    )
-    abnf_grammar: ABNFGrammar = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=ABNFGrammar,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v1p1beta1/__init__.py b/google/cloud/speech_v1p1beta1/__init__.py
deleted file mode 100644
index afb20c3f..00000000
--- a/google/cloud/speech_v1p1beta1/__init__.py
+++ /dev/null
@@ -1,109 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from .services.adaptation import AdaptationClient
-from .services.adaptation import AdaptationAsyncClient
-from .services.speech import SpeechClient
-from .services.speech import SpeechAsyncClient
-
-from .types.cloud_speech import LongRunningRecognizeMetadata
-from .types.cloud_speech import LongRunningRecognizeRequest
-from .types.cloud_speech import LongRunningRecognizeResponse
-from .types.cloud_speech import RecognitionAudio
-from .types.cloud_speech import RecognitionConfig
-from .types.cloud_speech import RecognitionMetadata
-from .types.cloud_speech import RecognizeRequest
-from .types.cloud_speech import RecognizeResponse
-from .types.cloud_speech import SpeakerDiarizationConfig
-from .types.cloud_speech import SpeechAdaptationInfo
-from .types.cloud_speech import SpeechContext
-from .types.cloud_speech import SpeechRecognitionAlternative
-from .types.cloud_speech import SpeechRecognitionResult
-from .types.cloud_speech import StreamingRecognitionConfig
-from .types.cloud_speech import StreamingRecognitionResult
-from .types.cloud_speech import StreamingRecognizeRequest
-from .types.cloud_speech import StreamingRecognizeResponse
-from .types.cloud_speech import TranscriptOutputConfig
-from .types.cloud_speech import WordInfo
-from .types.cloud_speech_adaptation import CreateCustomClassRequest
-from .types.cloud_speech_adaptation import CreatePhraseSetRequest
-from .types.cloud_speech_adaptation import DeleteCustomClassRequest
-from .types.cloud_speech_adaptation import DeletePhraseSetRequest
-from .types.cloud_speech_adaptation import GetCustomClassRequest
-from .types.cloud_speech_adaptation import GetPhraseSetRequest
-from .types.cloud_speech_adaptation import ListCustomClassesRequest
-from .types.cloud_speech_adaptation import ListCustomClassesResponse
-from .types.cloud_speech_adaptation import ListPhraseSetRequest
-from .types.cloud_speech_adaptation import ListPhraseSetResponse
-from .types.cloud_speech_adaptation import UpdateCustomClassRequest
-from .types.cloud_speech_adaptation import UpdatePhraseSetRequest
-from .types.resource import CustomClass
-from .types.resource import PhraseSet
-from .types.resource import SpeechAdaptation
-from .types.resource import TranscriptNormalization
-
-from google.cloud.speech_v1.helpers import SpeechHelpers
-
-
-class SpeechClient(SpeechHelpers, SpeechClient):
-    __doc__ = SpeechClient.__doc__
-
-
-__all__ = (
-    "AdaptationAsyncClient",
-    "SpeechAsyncClient",
-    "AdaptationClient",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "CustomClass",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetRequest",
-    "ListPhraseSetResponse",
-    "LongRunningRecognizeMetadata",
-    "LongRunningRecognizeRequest",
-    "LongRunningRecognizeResponse",
-    "PhraseSet",
-    "RecognitionAudio",
-    "RecognitionConfig",
-    "RecognitionMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptation",
-    "SpeechAdaptationInfo",
-    "SpeechClient",
-    "SpeechContext",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "TranscriptNormalization",
-    "TranscriptOutputConfig",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "WordInfo",
-)
diff --git a/google/cloud/speech_v1p1beta1/gapic_metadata.json b/google/cloud/speech_v1p1beta1/gapic_metadata.json
deleted file mode 100644
index a1a3a774..00000000
--- a/google/cloud/speech_v1p1beta1/gapic_metadata.json
+++ /dev/null
@@ -1,242 +0,0 @@
- {
-  "comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
-  "language": "python",
-  "libraryPackage": "google.cloud.speech_v1p1beta1",
-  "protoPackage": "google.cloud.speech.v1p1beta1",
-  "schema": "1.0",
-  "services": {
-    "Adaptation": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "AdaptationClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "AdaptationAsyncClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        },
-        "rest": {
-          "libraryClient": "AdaptationClient",
-          "rpcs": {
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSet": {
-              "methods": [
-                "list_phrase_set"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            }
-          }
-        }
-      }
-    },
-    "Speech": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "SpeechAsyncClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        },
-        "rest": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "LongRunningRecognize": {
-              "methods": [
-                "long_running_recognize"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            }
-          }
-        }
-      }
-    }
-  }
-}
diff --git a/google/cloud/speech_v1p1beta1/gapic_version.py b/google/cloud/speech_v1p1beta1/gapic_version.py
deleted file mode 100644
index e71611fa..00000000
--- a/google/cloud/speech_v1p1beta1/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "2.21.1"  # {x-release-please-version}
diff --git a/google/cloud/speech_v1p1beta1/py.typed b/google/cloud/speech_v1p1beta1/py.typed
deleted file mode 100644
index 02081c09..00000000
--- a/google/cloud/speech_v1p1beta1/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-speech package uses inline types.
diff --git a/google/cloud/speech_v1p1beta1/services/__init__.py b/google/cloud/speech_v1p1beta1/services/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/google/cloud/speech_v1p1beta1/services/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/__init__.py b/google/cloud/speech_v1p1beta1/services/adaptation/__init__.py
deleted file mode 100644
index 2cdb5977..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import AdaptationClient
-from .async_client import AdaptationAsyncClient
-
-__all__ = (
-    "AdaptationClient",
-    "AdaptationAsyncClient",
-)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/async_client.py b/google/cloud/speech_v1p1beta1/services/adaptation/async_client.py
deleted file mode 100644
index 5fcc7d26..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/async_client.py
+++ /dev/null
@@ -1,1555 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import functools
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.cloud.speech_v1p1beta1.services.adaptation import pagers
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from .transports.base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .client import AdaptationClient
-
-
-class AdaptationAsyncClient:
-    """Service that implements Google Cloud Speech Adaptation API."""
-
-    _client: AdaptationClient
-
-    DEFAULT_ENDPOINT = AdaptationClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = AdaptationClient.DEFAULT_MTLS_ENDPOINT
-
-    custom_class_path = staticmethod(AdaptationClient.custom_class_path)
-    parse_custom_class_path = staticmethod(AdaptationClient.parse_custom_class_path)
-    phrase_set_path = staticmethod(AdaptationClient.phrase_set_path)
-    parse_phrase_set_path = staticmethod(AdaptationClient.parse_phrase_set_path)
-    common_billing_account_path = staticmethod(
-        AdaptationClient.common_billing_account_path
-    )
-    parse_common_billing_account_path = staticmethod(
-        AdaptationClient.parse_common_billing_account_path
-    )
-    common_folder_path = staticmethod(AdaptationClient.common_folder_path)
-    parse_common_folder_path = staticmethod(AdaptationClient.parse_common_folder_path)
-    common_organization_path = staticmethod(AdaptationClient.common_organization_path)
-    parse_common_organization_path = staticmethod(
-        AdaptationClient.parse_common_organization_path
-    )
-    common_project_path = staticmethod(AdaptationClient.common_project_path)
-    parse_common_project_path = staticmethod(AdaptationClient.parse_common_project_path)
-    common_location_path = staticmethod(AdaptationClient.common_location_path)
-    parse_common_location_path = staticmethod(
-        AdaptationClient.parse_common_location_path
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationAsyncClient: The constructed client.
-        """
-        return AdaptationClient.from_service_account_info.__func__(AdaptationAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationAsyncClient: The constructed client.
-        """
-        return AdaptationClient.from_service_account_file.__func__(AdaptationAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return AdaptationClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> AdaptationTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            AdaptationTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    get_transport_class = functools.partial(
-        type(AdaptationClient).get_transport_class, type(AdaptationClient)
-    )
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Union[str, AdaptationTransport] = "grpc_asyncio",
-        client_options: Optional[ClientOptions] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the adaptation client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, ~.AdaptationTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (ClientOptions): Custom options for the client. It
-                won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = AdaptationClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-        )
-
-    async def create_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_create_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.CreatePhraseSetRequest(
-                    parent="parent_value",
-                    phrase_set_id="phrase_set_id_value",
-                )
-
-                # Make the request
-                response = await client.create_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.CreatePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-            parent (:class:`str`):
-                Required. The parent resource where this phrase set will
-                be created. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (:class:`google.cloud.speech_v1p1beta1.types.PhraseSet`):
-                Required. The phrase set to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (:class:`str`):
-                Required. The ID to use for the
-                phrase set, which will become the final
-                component of the phrase set's resource
-                name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.CreatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if phrase_set_id is not None:
-            request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetPhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Get a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_get_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.GetPhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-            name (:class:`str`):
-                Required. The name of the phrase set to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.GetPhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListPhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetAsyncPager:
-        r"""List phrase sets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_list_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.ListPhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_set(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.ListPhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-            parent (:class:`str`):
-                Required. The parent, which owns this collection of
-                phrase set. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.services.adaptation.pagers.ListPhraseSetAsyncPager:
-                Message returned to the client by the ListPhraseSet
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListPhraseSetAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Update a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_update_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                response = await client.update_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.UpdatePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-            phrase_set (:class:`google.cloud.speech_v1p1beta1.types.PhraseSet`):
-                Required. The phrase set to update.
-
-                The phrase set's ``name`` field is used to identify the
-                set to be updated. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.UpdatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeletePhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_phrase_set(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.DeletePhraseSetRequest, dict]]):
-                The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-            name (:class:`str`):
-                Required. The name of the phrase set to delete. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.DeletePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def create_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreateCustomClassRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[resource.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Create a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_create_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.CreateCustomClassRequest(
-                    parent="parent_value",
-                    custom_class_id="custom_class_id_value",
-                )
-
-                # Make the request
-                response = await client.create_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.CreateCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-            parent (:class:`str`):
-                Required. The parent resource where this custom class
-                will be created. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (:class:`google.cloud.speech_v1p1beta1.types.CustomClass`):
-                Required. The custom class to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (:class:`str`):
-                Required. The ID to use for the
-                custom class, which will become the
-                final component of the custom class'
-                resource name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.CreateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if custom_class_id is not None:
-            request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Get a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_get_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.GetCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-            name (:class:`str`):
-                Required. The name of the custom class to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.GetCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_custom_classes(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListCustomClassesRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesAsyncPager:
-        r"""List custom classes.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_list_custom_classes():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.ListCustomClassesRequest, dict]]):
-                The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-            parent (:class:`str`):
-                Required. The parent, which owns this collection of
-                custom classes. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.services.adaptation.pagers.ListCustomClassesAsyncPager:
-                Message returned to the client by the ListCustomClasses
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_custom_classes,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListCustomClassesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdateCustomClassRequest, dict]
-        ] = None,
-        *,
-        custom_class: Optional[resource.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Update a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_update_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                response = await client.update_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.UpdateCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-            custom_class (:class:`google.cloud.speech_v1p1beta1.types.CustomClass`):
-                Required. The custom class to update.
-
-                The custom class's ``name`` field is used to identify
-                the custom class to be updated. Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.UpdateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeleteCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_delete_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                await client.delete_custom_class(request=request)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.DeleteCustomClassRequest, dict]]):
-                The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-            name (:class:`str`):
-                Required. The name of the custom class to delete.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech_adaptation.DeleteCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "AdaptationAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("AdaptationAsyncClient",)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/client.py b/google/cloud/speech_v1p1beta1/services/adaptation/client.py
deleted file mode 100644
index 8d6e19f1..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/client.py
+++ /dev/null
@@ -1,1815 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-    cast,
-)
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport import mtls  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth.exceptions import MutualTLSChannelError  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.cloud.speech_v1p1beta1.services.adaptation import pagers
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from .transports.base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import AdaptationGrpcTransport
-from .transports.grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .transports.rest import AdaptationRestTransport
-
-
-class AdaptationClientMeta(type):
-    """Metaclass for the Adaptation client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[AdaptationTransport]]
-    _transport_registry["grpc"] = AdaptationGrpcTransport
-    _transport_registry["grpc_asyncio"] = AdaptationGrpcAsyncIOTransport
-    _transport_registry["rest"] = AdaptationRestTransport
-
-    def get_transport_class(
-        cls,
-        label: Optional[str] = None,
-    ) -> Type[AdaptationTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class AdaptationClient(metaclass=AdaptationClientMeta):
-    """Service that implements Google Cloud Speech Adaptation API."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    DEFAULT_ENDPOINT = "speech.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            AdaptationClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> AdaptationTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            AdaptationTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def custom_class_path(
-        project: str,
-        location: str,
-        custom_class: str,
-    ) -> str:
-        """Returns a fully-qualified custom_class string."""
-        return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-
-    @staticmethod
-    def parse_custom_class_path(path: str) -> Dict[str, str]:
-        """Parses a custom_class path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def phrase_set_path(
-        project: str,
-        location: str,
-        phrase_set: str,
-    ) -> str:
-        """Returns a fully-qualified phrase_set string."""
-        return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-            project=project,
-            location=location,
-            phrase_set=phrase_set,
-        )
-
-    @staticmethod
-    def parse_phrase_set_path(path: str) -> Dict[str, str]:
-        """Parses a phrase_set path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(
-        billing_account: str,
-    ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(
-            billing_account=billing_account,
-        )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(
-        folder: str,
-    ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(
-            folder=folder,
-        )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str, str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(
-        organization: str,
-    ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(
-            organization=organization,
-        )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str, str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(
-        project: str,
-    ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(
-            project=project,
-        )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str, str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str, str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[client_options_lib.ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError(
-                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-            )
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError(
-                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-            )
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (
-            use_mtls_endpoint == "auto" and client_cert_source
-        ):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Optional[Union[str, AdaptationTransport]] = None,
-        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the adaptation client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, AdaptationTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
-                client. It won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        if isinstance(client_options, dict):
-            client_options = client_options_lib.from_dict(client_options)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        client_options = cast(client_options_lib.ClientOptions, client_options)
-
-        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
-            client_options
-        )
-
-        api_key_value = getattr(client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError(
-                "client_options.api_key and credentials are mutually exclusive"
-            )
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        if isinstance(transport, AdaptationTransport):
-            # transport is a AdaptationTransport instance.
-            if credentials or client_options.credentials_file or api_key_value:
-                raise ValueError(
-                    "When providing a transport instance, "
-                    "provide its credentials directly."
-                )
-            if client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = transport
-        else:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(
-                google.auth._default, "get_api_key_credentials"
-            ):
-                credentials = google.auth._default.get_api_key_credentials(
-                    api_key_value
-                )
-
-            Transport = type(self).get_transport_class(transport)
-            self._transport = Transport(
-                credentials=credentials,
-                credentials_file=client_options.credentials_file,
-                host=api_endpoint,
-                scopes=client_options.scopes,
-                client_cert_source_for_mtls=client_cert_source_func,
-                quota_project_id=client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=client_options.api_audience,
-            )
-
-    def create_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_create_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.CreatePhraseSetRequest(
-                    parent="parent_value",
-                    phrase_set_id="phrase_set_id_value",
-                )
-
-                # Make the request
-                response = client.create_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.CreatePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-            parent (str):
-                Required. The parent resource where this phrase set will
-                be created. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (google.cloud.speech_v1p1beta1.types.PhraseSet):
-                Required. The phrase set to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (str):
-                Required. The ID to use for the
-                phrase set, which will become the final
-                component of the phrase set's resource
-                name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.CreatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.CreatePhraseSetRequest):
-            request = cloud_speech_adaptation.CreatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if phrase_set_id is not None:
-                request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetPhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Get a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_get_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.GetPhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-            name (str):
-                Required. The name of the phrase set to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.GetPhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.GetPhraseSetRequest):
-            request = cloud_speech_adaptation.GetPhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListPhraseSetRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetPager:
-        r"""List phrase sets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_list_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.ListPhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_set(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.ListPhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-            parent (str):
-                Required. The parent, which owns this collection of
-                phrase set. Format:
-
-                ``projects/{project}/locations/{location}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.services.adaptation.pagers.ListPhraseSetPager:
-                Message returned to the client by the ListPhraseSet
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.ListPhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.ListPhraseSetRequest):
-            request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListPhraseSetPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdatePhraseSetRequest, dict]
-        ] = None,
-        *,
-        phrase_set: Optional[resource.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.PhraseSet:
-        r"""Update a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_update_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                response = client.update_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.UpdatePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-            phrase_set (google.cloud.speech_v1p1beta1.types.PhraseSet):
-                Required. The phrase set to update.
-
-                The phrase set's ``name`` field is used to identify the
-                set to be updated. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.PhraseSet:
-                Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.UpdatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.UpdatePhraseSetRequest):
-            request = cloud_speech_adaptation.UpdatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_phrase_set(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeletePhraseSetRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a phrase set.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_phrase_set(request=request)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.DeletePhraseSetRequest, dict]):
-                The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-            name (str):
-                Required. The name of the phrase set to delete. Format:
-
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.DeletePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.DeletePhraseSetRequest):
-            request = cloud_speech_adaptation.DeletePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def create_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.CreateCustomClassRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[resource.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Create a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_create_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.CreateCustomClassRequest(
-                    parent="parent_value",
-                    custom_class_id="custom_class_id_value",
-                )
-
-                # Make the request
-                response = client.create_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.CreateCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-            parent (str):
-                Required. The parent resource where this custom class
-                will be created. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (google.cloud.speech_v1p1beta1.types.CustomClass):
-                Required. The custom class to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (str):
-                Required. The ID to use for the
-                custom class, which will become the
-                final component of the custom class'
-                resource name.
-
-                This value should restrict to letters,
-                numbers, and hyphens, with the first
-                character a letter, the last a letter or
-                a number, and be 4-63 characters.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.CreateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.CreateCustomClassRequest):
-            request = cloud_speech_adaptation.CreateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if custom_class_id is not None:
-                request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.GetCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Get a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_get_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.GetCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-            name (str):
-                Required. The name of the custom class to retrieve.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.GetCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.GetCustomClassRequest):
-            request = cloud_speech_adaptation.GetCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_custom_classes(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.ListCustomClassesRequest, dict]
-        ] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesPager:
-        r"""List custom classes.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_list_custom_classes():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.ListCustomClassesRequest, dict]):
-                The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-            parent (str):
-                Required. The parent, which owns this collection of
-                custom classes. Format:
-
-                ``projects/{project}/locations/{location}/customClasses``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.services.adaptation.pagers.ListCustomClassesPager:
-                Message returned to the client by the ListCustomClasses
-                method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.ListCustomClassesRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.ListCustomClassesRequest):
-            request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_custom_classes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListCustomClassesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.UpdateCustomClassRequest, dict]
-        ] = None,
-        *,
-        custom_class: Optional[resource.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> resource.CustomClass:
-        r"""Update a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_update_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                response = client.update_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.UpdateCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-            custom_class (google.cloud.speech_v1p1beta1.types.CustomClass):
-                Required. The custom class to update.
-
-                The custom class's ``name`` field is used to identify
-                the custom class to be updated. Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.CustomClass:
-                A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.UpdateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.UpdateCustomClassRequest):
-            request = cloud_speech_adaptation.UpdateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_custom_class(
-        self,
-        request: Optional[
-            Union[cloud_speech_adaptation.DeleteCustomClassRequest, dict]
-        ] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Delete a custom class.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_delete_custom_class():
-                # Create a client
-                client = speech_v1p1beta1.AdaptationClient()
-
-                # Initialize request argument(s)
-                request = speech_v1p1beta1.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                client.delete_custom_class(request=request)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.DeleteCustomClassRequest, dict]):
-                The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-            name (str):
-                Required. The name of the custom class to delete.
-                Format:
-
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                Speech-to-Text supports three locations: ``global``,
-                ``us`` (US North America), and ``eu`` (Europe). If you
-                are calling the ``speech.googleapis.com`` endpoint, use
-                the ``global`` location. To specify a region, use a
-                `regional
-                endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-                with matching ``us`` or ``eu`` location value.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech_adaptation.DeleteCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech_adaptation.DeleteCustomClassRequest):
-            request = cloud_speech_adaptation.DeleteCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def __enter__(self) -> "AdaptationClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("AdaptationClient",)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/pagers.py b/google/cloud/speech_v1p1beta1/services/adaptation/pagers.py
deleted file mode 100644
index 4167741e..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/pagers.py
+++ /dev/null
@@ -1,290 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from typing import (
-    Any,
-    AsyncIterator,
-    Awaitable,
-    Callable,
-    Sequence,
-    Tuple,
-    Optional,
-    Iterator,
-)
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-
-
-class ListPhraseSetPager:
-    """A pager for iterating through ``list_phrase_set`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListPhraseSet`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech_adaptation.ListPhraseSetResponse],
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        response: cloud_speech_adaptation.ListPhraseSetResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1p1beta1.types.ListPhraseSetRequest):
-                The initial request object.
-            response (google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech_adaptation.ListPhraseSetResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resource.PhraseSet]:
-        for page in self.pages:
-            yield from page.phrase_sets
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListPhraseSetAsyncPager:
-    """A pager for iterating through ``list_phrase_set`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListPhraseSet`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., Awaitable[cloud_speech_adaptation.ListPhraseSetResponse]],
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        response: cloud_speech_adaptation.ListPhraseSetResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1p1beta1.types.ListPhraseSetRequest):
-                The initial request object.
-            response (google.cloud.speech_v1p1beta1.types.ListPhraseSetResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListPhraseSetRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(
-        self,
-    ) -> AsyncIterator[cloud_speech_adaptation.ListPhraseSetResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[resource.PhraseSet]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.phrase_sets:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech_adaptation.ListCustomClassesResponse],
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        response: cloud_speech_adaptation.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1p1beta1.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech_adaptation.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[resource.CustomClass]:
-        for page in self.pages:
-            yield from page.custom_classes
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesAsyncPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[
-            ..., Awaitable[cloud_speech_adaptation.ListCustomClassesResponse]
-        ],
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        response: cloud_speech_adaptation.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v1p1beta1.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v1p1beta1.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech_adaptation.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(
-        self,
-    ) -> AsyncIterator[cloud_speech_adaptation.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[resource.CustomClass]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.custom_classes:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/transports/__init__.py b/google/cloud/speech_v1p1beta1/services/adaptation/transports/__init__.py
deleted file mode 100644
index 46dcf8d7..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/transports/__init__.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import AdaptationTransport
-from .grpc import AdaptationGrpcTransport
-from .grpc_asyncio import AdaptationGrpcAsyncIOTransport
-from .rest import AdaptationRestTransport
-from .rest import AdaptationRestInterceptor
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[AdaptationTransport]]
-_transport_registry["grpc"] = AdaptationGrpcTransport
-_transport_registry["grpc_asyncio"] = AdaptationGrpcAsyncIOTransport
-_transport_registry["rest"] = AdaptationRestTransport
-
-__all__ = (
-    "AdaptationTransport",
-    "AdaptationGrpcTransport",
-    "AdaptationGrpcAsyncIOTransport",
-    "AdaptationRestTransport",
-    "AdaptationRestInterceptor",
-)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/transports/base.py b/google/cloud/speech_v1p1beta1/services/adaptation/transports/base.py
deleted file mode 100644
index a848b34c..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/transports/base.py
+++ /dev/null
@@ -1,312 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-class AdaptationTransport(abc.ABC):
-    """Abstract transport class for Adaptation."""
-
-    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
-
-    DEFAULT_HOST: str = "speech.googleapis.com"
-
-    def __init__(
-        self,
-        *,
-        host: str = DEFAULT_HOST,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-        **kwargs,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs(
-                "'credentials_file' and 'credentials' are mutually exclusive"
-            )
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
-            )
-        elif credentials is None:
-            credentials, _ = google.auth.default(
-                **scopes_kwargs, quota_project_id=quota_project_id
-            )
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(
-                    api_audience if api_audience else host
-                )
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if (
-            always_use_jwt_access
-            and isinstance(credentials, service_account.Credentials)
-            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
-        ):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_phrase_set: gapic_v1.method.wrap_method(
-                self.create_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_phrase_set: gapic_v1.method.wrap_method(
-                self.get_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_phrase_set: gapic_v1.method.wrap_method(
-                self.list_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_phrase_set: gapic_v1.method.wrap_method(
-                self.update_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_phrase_set: gapic_v1.method.wrap_method(
-                self.delete_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_custom_class: gapic_v1.method.wrap_method(
-                self.create_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_custom_class: gapic_v1.method.wrap_method(
-                self.get_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_custom_classes: gapic_v1.method.wrap_method(
-                self.list_custom_classes,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_custom_class: gapic_v1.method.wrap_method(
-                self.update_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_custom_class: gapic_v1.method.wrap_method(
-                self.delete_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-        .. warning::
-             Only call this method if the transport is NOT shared
-             with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreatePhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetPhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        Union[
-            cloud_speech_adaptation.ListPhraseSetResponse,
-            Awaitable[cloud_speech_adaptation.ListPhraseSetResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdatePhraseSetRequest],
-        Union[resource.PhraseSet, Awaitable[resource.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeletePhraseSetRequest],
-        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        Union[
-            cloud_speech_adaptation.ListCustomClassesResponse,
-            Awaitable[cloud_speech_adaptation.ListCustomClassesResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest],
-        Union[resource.CustomClass, Awaitable[resource.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeleteCustomClassRequest],
-        Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[
-            operations_pb2.ListOperationsResponse,
-            Awaitable[operations_pb2.ListOperationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = ("AdaptationTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc.py b/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc.py
deleted file mode 100644
index 3c6d991a..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc.py
+++ /dev/null
@@ -1,554 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import gapic_v1
-import google.auth  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO
-
-
-class AdaptationGrpcTransport(AdaptationTransport):
-    """gRPC backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _stubs: Dict[str, Callable]
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[grpc.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            channel (Optional[grpc.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service."""
-        return self._grpc_channel
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.CreatePhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/CreatePhraseSet",
-                request_serializer=cloud_speech_adaptation.CreatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.GetPhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Get a phrase set.
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/GetPhraseSet",
-                request_serializer=cloud_speech_adaptation.GetPhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        cloud_speech_adaptation.ListPhraseSetResponse,
-    ]:
-        r"""Return a callable for the list phrase set method over gRPC.
-
-        List phrase sets.
-
-        Returns:
-            Callable[[~.ListPhraseSetRequest],
-                    ~.ListPhraseSetResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_set" not in self._stubs:
-            self._stubs["list_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/ListPhraseSet",
-                request_serializer=cloud_speech_adaptation.ListPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListPhraseSetResponse.deserialize,
-            )
-        return self._stubs["list_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.UpdatePhraseSetRequest], resource.PhraseSet]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Update a phrase set.
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/UpdatePhraseSet",
-                request_serializer=cloud_speech_adaptation.UpdatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeletePhraseSetRequest], empty_pb2.Empty]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Delete a phrase set.
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/DeletePhraseSet",
-                request_serializer=cloud_speech_adaptation.DeletePhraseSetRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Create a custom class.
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/CreateCustomClass",
-                request_serializer=cloud_speech_adaptation.CreateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Get a custom class.
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/GetCustomClass",
-                request_serializer=cloud_speech_adaptation.GetCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        cloud_speech_adaptation.ListCustomClassesResponse,
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        List custom classes.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    ~.ListCustomClassesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/ListCustomClasses",
-                request_serializer=cloud_speech_adaptation.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest], resource.CustomClass
-    ]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Update a custom class.
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/UpdateCustomClass",
-                request_serializer=cloud_speech_adaptation.UpdateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeleteCustomClassRequest], empty_pb2.Empty]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Delete a custom class.
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    ~.Empty]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/DeleteCustomClass",
-                request_serializer=cloud_speech_adaptation.DeleteCustomClassRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = ("AdaptationGrpcTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc_asyncio.py b/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc_asyncio.py
deleted file mode 100644
index 56a6e2db..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,565 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import empty_pb2  # type: ignore
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO
-from .grpc import AdaptationGrpcTransport
-
-
-class AdaptationGrpcAsyncIOTransport(AdaptationTransport):
-    """gRPC AsyncIO backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[aio.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[aio.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreatePhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Create a set of phrase hints. Each item in the set
-        can be a single word or a multi-word phrase. The items
-        in the PhraseSet are favored by the recognition model
-        when you send a call that includes the PhraseSet.
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/CreatePhraseSet",
-                request_serializer=cloud_speech_adaptation.CreatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetPhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Get a phrase set.
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/GetPhraseSet",
-                request_serializer=cloud_speech_adaptation.GetPhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        Awaitable[cloud_speech_adaptation.ListPhraseSetResponse],
-    ]:
-        r"""Return a callable for the list phrase set method over gRPC.
-
-        List phrase sets.
-
-        Returns:
-            Callable[[~.ListPhraseSetRequest],
-                    Awaitable[~.ListPhraseSetResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_set" not in self._stubs:
-            self._stubs["list_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/ListPhraseSet",
-                request_serializer=cloud_speech_adaptation.ListPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListPhraseSetResponse.deserialize,
-            )
-        return self._stubs["list_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdatePhraseSetRequest], Awaitable[resource.PhraseSet]
-    ]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Update a phrase set.
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/UpdatePhraseSet",
-                request_serializer=cloud_speech_adaptation.UpdatePhraseSetRequest.serialize,
-                response_deserializer=resource.PhraseSet.deserialize,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeletePhraseSetRequest], Awaitable[empty_pb2.Empty]
-    ]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Delete a phrase set.
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/DeletePhraseSet",
-                request_serializer=cloud_speech_adaptation.DeletePhraseSetRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest],
-        Awaitable[resource.CustomClass],
-    ]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Create a custom class.
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/CreateCustomClass",
-                request_serializer=cloud_speech_adaptation.CreateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], Awaitable[resource.CustomClass]
-    ]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Get a custom class.
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/GetCustomClass",
-                request_serializer=cloud_speech_adaptation.GetCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        Awaitable[cloud_speech_adaptation.ListCustomClassesResponse],
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        List custom classes.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    Awaitable[~.ListCustomClassesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/ListCustomClasses",
-                request_serializer=cloud_speech_adaptation.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech_adaptation.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest],
-        Awaitable[resource.CustomClass],
-    ]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Update a custom class.
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/UpdateCustomClass",
-                request_serializer=cloud_speech_adaptation.UpdateCustomClassRequest.serialize,
-                response_deserializer=resource.CustomClass.deserialize,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.DeleteCustomClassRequest], Awaitable[empty_pb2.Empty]
-    ]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Delete a custom class.
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    Awaitable[~.Empty]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Adaptation/DeleteCustomClass",
-                request_serializer=cloud_speech_adaptation.DeleteCustomClassRequest.serialize,
-                response_deserializer=empty_pb2.Empty.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-
-__all__ = ("AdaptationGrpcAsyncIOTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/adaptation/transports/rest.py b/google/cloud/speech_v1p1beta1/services/adaptation/transports/rest.py
deleted file mode 100644
index 62dfcec2..00000000
--- a/google/cloud/speech_v1p1beta1/services/adaptation/transports/rest.py
+++ /dev/null
@@ -1,1679 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-from google.auth.transport.requests import AuthorizedSession  # type: ignore
-import json  # type: ignore
-import grpc  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry as retries
-from google.api_core import rest_helpers
-from google.api_core import rest_streaming
-from google.api_core import path_template
-from google.api_core import gapic_v1
-
-from google.protobuf import json_format
-from requests import __version__ as requests_version
-import dataclasses
-import re
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
-import warnings
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.protobuf import empty_pb2  # type: ignore
-from google.longrunning import operations_pb2  # type: ignore
-
-from .base import AdaptationTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
-    grpc_version=None,
-    rest_version=requests_version,
-)
-
-
-class AdaptationRestInterceptor:
-    """Interceptor for Adaptation.
-
-    Interceptors are used to manipulate requests, request metadata, and responses
-    in arbitrary ways.
-    Example use cases include:
-    * Logging
-    * Verifying requests according to service or custom semantics
-    * Stripping extraneous information from responses
-
-    These use cases and more can be enabled by injecting an
-    instance of a custom subclass when constructing the AdaptationRestTransport.
-
-    .. code-block:: python
-        class MyCustomAdaptationInterceptor(AdaptationRestInterceptor):
-            def pre_create_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_create_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_delete_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def pre_delete_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def pre_get_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_custom_classes(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_custom_classes(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-        transport = AdaptationRestTransport(interceptor=MyCustomAdaptationInterceptor())
-        client = AdaptationClient(transport=transport)
-
-
-    """
-
-    def pre_create_custom_class(
-        self,
-        request: cloud_speech_adaptation.CreateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.CreateCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_create_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_create_phrase_set(
-        self,
-        request: cloud_speech_adaptation.CreatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.CreatePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_create_phrase_set(
-        self, response: resource.PhraseSet
-    ) -> resource.PhraseSet:
-        """Post-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_custom_class(
-        self,
-        request: cloud_speech_adaptation.DeleteCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.DeleteCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for delete_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def pre_delete_phrase_set(
-        self,
-        request: cloud_speech_adaptation.DeletePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.DeletePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for delete_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def pre_get_custom_class(
-        self,
-        request: cloud_speech_adaptation.GetCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.GetCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_phrase_set(
-        self,
-        request: cloud_speech_adaptation.GetPhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech_adaptation.GetPhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_phrase_set(self, response: resource.PhraseSet) -> resource.PhraseSet:
-        """Post-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_custom_classes(
-        self,
-        request: cloud_speech_adaptation.ListCustomClassesRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.ListCustomClassesRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_custom_classes(
-        self, response: cloud_speech_adaptation.ListCustomClassesResponse
-    ) -> cloud_speech_adaptation.ListCustomClassesResponse:
-        """Post-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_phrase_set(
-        self,
-        request: cloud_speech_adaptation.ListPhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech_adaptation.ListPhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_phrase_set(
-        self, response: cloud_speech_adaptation.ListPhraseSetResponse
-    ) -> cloud_speech_adaptation.ListPhraseSetResponse:
-        """Post-rpc interceptor for list_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_custom_class(
-        self,
-        request: cloud_speech_adaptation.UpdateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.UpdateCustomClassRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_update_custom_class(
-        self, response: resource.CustomClass
-    ) -> resource.CustomClass:
-        """Post-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_phrase_set(
-        self,
-        request: cloud_speech_adaptation.UpdatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[
-        cloud_speech_adaptation.UpdatePhraseSetRequest, Sequence[Tuple[str, str]]
-    ]:
-        """Pre-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_update_phrase_set(
-        self, response: resource.PhraseSet
-    ) -> resource.PhraseSet:
-        """Post-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_operation(
-        self,
-        request: operations_pb2.GetOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_get_operation(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_operations(
-        self,
-        request: operations_pb2.ListOperationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Adaptation server.
-        """
-        return request, metadata
-
-    def post_list_operations(
-        self, response: operations_pb2.ListOperationsResponse
-    ) -> operations_pb2.ListOperationsResponse:
-        """Post-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Adaptation server but before
-        it is returned to user code.
-        """
-        return response
-
-
-@dataclasses.dataclass
-class AdaptationRestStub:
-    _session: AuthorizedSession
-    _host: str
-    _interceptor: AdaptationRestInterceptor
-
-
-class AdaptationRestTransport(AdaptationTransport):
-    """REST backend transport for Adaptation.
-
-    Service that implements Google Cloud Speech Adaptation API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends JSON representations of protocol buffers over HTTP/1.1
-
-    """
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        url_scheme: str = "https",
-        interceptor: Optional[AdaptationRestInterceptor] = None,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client
-                certificate to configure mutual TLS HTTP channel. It is ignored
-                if ``channel`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you are developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-            url_scheme: the protocol scheme for the API endpoint.  Normally
-                "https", but for testing or local servers,
-                "http" can be specified.
-        """
-        # Run the base constructor
-        # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc.
-        # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the
-        # credentials object
-        maybe_url_match = re.match("^(?P<scheme>http(?:s)?://)?(?P<host>.*)$", host)
-        if maybe_url_match is None:
-            raise ValueError(
-                f"Unexpected hostname structure: {host}"
-            )  # pragma: NO COVER
-
-        url_match_items = maybe_url_match.groupdict()
-
-        host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host
-
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-        self._session = AuthorizedSession(
-            self._credentials, default_host=self.DEFAULT_HOST
-        )
-        if client_cert_source_for_mtls:
-            self._session.configure_mtls_channel(client_cert_source_for_mtls)
-        self._interceptor = interceptor or AdaptationRestInterceptor()
-        self._prep_wrapped_messages(client_info)
-
-    class _CreateCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("CreateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.CreateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the create custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.CreateCustomClassRequest):
-                    The request object. Message sent by the client for the ``CreateCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1p1beta1/{parent=projects/*/locations/*}/customClasses",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.CreateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_custom_class(resp)
-            return resp
-
-    class _CreatePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("CreatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.CreatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the create phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.CreatePhraseSetRequest):
-                    The request object. Message sent by the client for the ``CreatePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1p1beta1/{parent=projects/*/locations/*}/phraseSets",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.CreatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_phrase_set(resp)
-            return resp
-
-    class _DeleteCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("DeleteCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.DeleteCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ):
-            r"""Call the delete custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.DeleteCustomClassRequest):
-                    The request object. Message sent by the client for the ``DeleteCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v1p1beta1/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.DeleteCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-    class _DeletePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("DeletePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.DeletePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ):
-            r"""Call the delete phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.DeletePhraseSetRequest):
-                    The request object. Message sent by the client for the ``DeletePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v1p1beta1/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.DeletePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-    class _GetCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("GetCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.GetCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the get custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.GetCustomClassRequest):
-                    The request object. Message sent by the client for the ``GetCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.GetCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_custom_class(resp)
-            return resp
-
-    class _GetPhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("GetPhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.GetPhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the get phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.GetPhraseSetRequest):
-                    The request object. Message sent by the client for the ``GetPhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_phrase_set(request, metadata)
-            pb_request = cloud_speech_adaptation.GetPhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_phrase_set(resp)
-            return resp
-
-    class _ListCustomClasses(AdaptationRestStub):
-        def __hash__(self):
-            return hash("ListCustomClasses")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.ListCustomClassesRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech_adaptation.ListCustomClassesResponse:
-            r"""Call the list custom classes method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.ListCustomClassesRequest):
-                    The request object. Message sent by the client for the ``ListCustomClasses``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech_adaptation.ListCustomClassesResponse:
-                    Message returned to the client by the
-                ``ListCustomClasses`` method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/{parent=projects/*/locations/*}/customClasses",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_custom_classes(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.ListCustomClassesRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech_adaptation.ListCustomClassesResponse()
-            pb_resp = cloud_speech_adaptation.ListCustomClassesResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_custom_classes(resp)
-            return resp
-
-    class _ListPhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("ListPhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.ListPhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech_adaptation.ListPhraseSetResponse:
-            r"""Call the list phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.ListPhraseSetRequest):
-                    The request object. Message sent by the client for the ``ListPhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech_adaptation.ListPhraseSetResponse:
-                    Message returned to the client by the ``ListPhraseSet``
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/{parent=projects/*/locations/*}/phraseSets",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_phrase_set(request, metadata)
-            pb_request = cloud_speech_adaptation.ListPhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech_adaptation.ListPhraseSetResponse()
-            pb_resp = cloud_speech_adaptation.ListPhraseSetResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_phrase_set(resp)
-            return resp
-
-    class _UpdateCustomClass(AdaptationRestStub):
-        def __hash__(self):
-            return hash("UpdateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.UpdateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.CustomClass:
-            r"""Call the update custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.UpdateCustomClassRequest):
-                    The request object. Message sent by the client for the ``UpdateCustomClass``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.CustomClass:
-                    A set of words or phrases that
-                represents a common concept likely to
-                appear in your audio, for example a list
-                of passenger ship names. CustomClass
-                items can be substituted into
-                placeholders that you set in PhraseSet
-                phrases.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v1p1beta1/{custom_class.name=projects/*/locations/*/customClasses/*}",
-                    "body": "custom_class",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.UpdateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.CustomClass()
-            pb_resp = resource.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_custom_class(resp)
-            return resp
-
-    class _UpdatePhraseSet(AdaptationRestStub):
-        def __hash__(self):
-            return hash("UpdatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech_adaptation.UpdatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> resource.PhraseSet:
-            r"""Call the update phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech_adaptation.UpdatePhraseSetRequest):
-                    The request object. Message sent by the client for the ``UpdatePhraseSet``
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.resource.PhraseSet:
-                    Provides "hints" to the speech
-                recognizer to favor specific words and
-                phrases in the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v1p1beta1/{phrase_set.name=projects/*/locations/*/phraseSets/*}",
-                    "body": "phrase_set",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech_adaptation.UpdatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = resource.PhraseSet()
-            pb_resp = resource.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_phrase_set(resp)
-            return resp
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.CreateCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.CreatePhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeleteCustomClassRequest], empty_pb2.Empty]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeleteCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.DeletePhraseSetRequest], empty_pb2.Empty]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeletePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.GetCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.GetPhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetPhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListCustomClassesRequest],
-        cloud_speech_adaptation.ListCustomClassesResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListCustomClasses(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.ListPhraseSetRequest],
-        cloud_speech_adaptation.ListPhraseSetResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListPhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech_adaptation.UpdateCustomClassRequest], resource.CustomClass
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech_adaptation.UpdatePhraseSetRequest], resource.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_operation(self):
-        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetOperation(AdaptationRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.GetOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the get operation method over HTTP.
-
-            Args:
-                request (operations_pb2.GetOperationRequest):
-                    The request object for GetOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.Operation: Response from GetOperation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/operations/{name=**}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_operation(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.Operation()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_operation(resp)
-            return resp
-
-    @property
-    def list_operations(self):
-        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListOperations(AdaptationRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.ListOperationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.ListOperationsResponse:
-            r"""Call the list operations method over HTTP.
-
-            Args:
-                request (operations_pb2.ListOperationsRequest):
-                    The request object for ListOperations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.ListOperationsResponse: Response from ListOperations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/operations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_operations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.ListOperationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_operations(resp)
-            return resp
-
-    @property
-    def kind(self) -> str:
-        return "rest"
-
-    def close(self):
-        self._session.close()
-
-
-__all__ = ("AdaptationRestTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/__init__.py b/google/cloud/speech_v1p1beta1/services/speech/__init__.py
deleted file mode 100644
index 400719f2..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import SpeechClient
-from .async_client import SpeechAsyncClient
-
-__all__ = (
-    "SpeechClient",
-    "SpeechAsyncClient",
-)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/async_client.py b/google/cloud/speech_v1p1beta1/services/speech/async_client.py
deleted file mode 100644
index bef52fdb..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/async_client.py
+++ /dev/null
@@ -1,761 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import functools
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    AsyncIterable,
-    Awaitable,
-    AsyncIterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .client import SpeechClient
-
-
-class SpeechAsyncClient:
-    """Service that implements Google Cloud Speech API."""
-
-    _client: SpeechClient
-
-    DEFAULT_ENDPOINT = SpeechClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = SpeechClient.DEFAULT_MTLS_ENDPOINT
-
-    custom_class_path = staticmethod(SpeechClient.custom_class_path)
-    parse_custom_class_path = staticmethod(SpeechClient.parse_custom_class_path)
-    phrase_set_path = staticmethod(SpeechClient.phrase_set_path)
-    parse_phrase_set_path = staticmethod(SpeechClient.parse_phrase_set_path)
-    common_billing_account_path = staticmethod(SpeechClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(
-        SpeechClient.parse_common_billing_account_path
-    )
-    common_folder_path = staticmethod(SpeechClient.common_folder_path)
-    parse_common_folder_path = staticmethod(SpeechClient.parse_common_folder_path)
-    common_organization_path = staticmethod(SpeechClient.common_organization_path)
-    parse_common_organization_path = staticmethod(
-        SpeechClient.parse_common_organization_path
-    )
-    common_project_path = staticmethod(SpeechClient.common_project_path)
-    parse_common_project_path = staticmethod(SpeechClient.parse_common_project_path)
-    common_location_path = staticmethod(SpeechClient.common_location_path)
-    parse_common_location_path = staticmethod(SpeechClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_info.__func__(SpeechAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_file.__func__(SpeechAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return SpeechClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    get_transport_class = functools.partial(
-        type(SpeechClient).get_transport_class, type(SpeechClient)
-    )
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Union[str, SpeechTransport] = "grpc_asyncio",
-        client_options: Optional[ClientOptions] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, ~.SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (ClientOptions): Custom options for the client. It
-                won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = SpeechClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-        )
-
-    async def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                config = speech_v1p1beta1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1p1beta1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1p1beta1.RecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                response = await client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.RecognizeRequest, dict]]):
-                The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-            config (:class:`google.cloud.speech_v1p1beta1.types.RecognitionConfig`):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (:class:`google.cloud.speech_v1p1beta1.types.RecognitionAudio`):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.RecognizeResponse:
-                The only message returned to the client by the Recognize method. It
-                   contains the result as zero or more sequential
-                   SpeechRecognitionResult messages.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.RecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if config is not None:
-            request.config = config
-        if audio is not None:
-            request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.recognize,
-            default_retry=retries.Retry(
-                initial=0.1,
-                maximum=60.0,
-                multiplier=1.3,
-                predicate=retries.if_exception_type(
-                    core_exceptions.DeadlineExceeded,
-                    core_exceptions.ServiceUnavailable,
-                ),
-                deadline=5000.0,
-            ),
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def long_running_recognize(
-        self,
-        request: Optional[Union[cloud_speech.LongRunningRecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_long_running_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                config = speech_v1p1beta1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1p1beta1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1p1beta1.LongRunningRecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                operation = client.long_running_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v1p1beta1.types.LongRunningRecognizeRequest, dict]]):
-                The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-            config (:class:`google.cloud.speech_v1p1beta1.types.RecognitionConfig`):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (:class:`google.cloud.speech_v1p1beta1.types.RecognitionAudio`):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v1p1beta1.types.LongRunningRecognizeResponse` The only message returned to the client by the LongRunningRecognize method.
-                   It contains the result as zero or more sequential
-                   SpeechRecognitionResult messages. It is included in
-                   the result.response field of the Operation returned
-                   by the GetOperation call of the
-                   google::longrunning::Operations service.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.LongRunningRecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if config is not None:
-            request.config = config
-        if audio is not None:
-            request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.long_running_recognize,
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.LongRunningRecognizeResponse,
-            metadata_type=cloud_speech.LongRunningRecognizeMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[
-            AsyncIterator[cloud_speech.StreamingRecognizeRequest]
-        ] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Awaitable[AsyncIterable[cloud_speech.StreamingRecognizeResponse]]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            async def sample_streaming_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                streaming_config = speech_v1p1beta1.StreamingRecognitionConfig()
-                streaming_config.config.language_code = "language_code_value"
-
-                request = speech_v1p1beta1.StreamingRecognizeRequest(
-                    streaming_config=streaming_config,
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v1p1beta1.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = await client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                async for response in stream:
-                    print(response)
-
-        Args:
-            requests (AsyncIterator[`google.cloud.speech_v1p1beta1.types.StreamingRecognizeRequest`]):
-                The request object AsyncIterator. The top-level message sent by the client for the
-                ``StreamingRecognize`` method. Multiple
-                ``StreamingRecognizeRequest`` messages are sent. The
-                first message must contain a ``streaming_config``
-                message and must not contain ``audio_content``. All
-                subsequent messages must contain ``audio_content`` and
-                must not contain a ``streaming_config`` message.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            AsyncIterable[google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio, and
-                   single_utterance is set to false, then no messages
-                   are streamed back to the client.
-
-                   Here's an example of a series of
-                   StreamingRecognizeResponses that might be returned
-                   while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.streaming_recognize,
-            default_retry=retries.Retry(
-                initial=0.1,
-                maximum=60.0,
-                multiplier=1.3,
-                predicate=retries.if_exception_type(
-                    core_exceptions.DeadlineExceeded,
-                    core_exceptions.ServiceUnavailable,
-                ),
-                deadline=5000.0,
-            ),
-            default_timeout=5000.0,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "SpeechAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechAsyncClient",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/client.py b/google/cloud/speech_v1p1beta1/services/speech/client.py
deleted file mode 100644
index 410b314e..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/client.py
+++ /dev/null
@@ -1,998 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Iterable,
-    Iterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-    cast,
-)
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport import mtls  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth.exceptions import MutualTLSChannelError  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import SpeechGrpcTransport
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .transports.rest import SpeechRestTransport
-
-
-class SpeechClientMeta(type):
-    """Metaclass for the Speech client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-    _transport_registry["grpc"] = SpeechGrpcTransport
-    _transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-    _transport_registry["rest"] = SpeechRestTransport
-
-    def get_transport_class(
-        cls,
-        label: Optional[str] = None,
-    ) -> Type[SpeechTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class SpeechClient(metaclass=SpeechClientMeta):
-    """Service that implements Google Cloud Speech API."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    DEFAULT_ENDPOINT = "speech.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def custom_class_path(
-        project: str,
-        location: str,
-        custom_class: str,
-    ) -> str:
-        """Returns a fully-qualified custom_class string."""
-        return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-
-    @staticmethod
-    def parse_custom_class_path(path: str) -> Dict[str, str]:
-        """Parses a custom_class path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def phrase_set_path(
-        project: str,
-        location: str,
-        phrase_set: str,
-    ) -> str:
-        """Returns a fully-qualified phrase_set string."""
-        return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-            project=project,
-            location=location,
-            phrase_set=phrase_set,
-        )
-
-    @staticmethod
-    def parse_phrase_set_path(path: str) -> Dict[str, str]:
-        """Parses a phrase_set path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(
-        billing_account: str,
-    ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(
-            billing_account=billing_account,
-        )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(
-        folder: str,
-    ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(
-            folder=folder,
-        )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str, str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(
-        organization: str,
-    ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(
-            organization=organization,
-        )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str, str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(
-        project: str,
-    ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(
-            project=project,
-        )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str, str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str, str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[client_options_lib.ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError(
-                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-            )
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError(
-                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-            )
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (
-            use_mtls_endpoint == "auto" and client_cert_source
-        ):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Optional[Union[str, SpeechTransport]] = None,
-        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
-                client. It won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        if isinstance(client_options, dict):
-            client_options = client_options_lib.from_dict(client_options)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        client_options = cast(client_options_lib.ClientOptions, client_options)
-
-        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
-            client_options
-        )
-
-        api_key_value = getattr(client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError(
-                "client_options.api_key and credentials are mutually exclusive"
-            )
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        if isinstance(transport, SpeechTransport):
-            # transport is a SpeechTransport instance.
-            if credentials or client_options.credentials_file or api_key_value:
-                raise ValueError(
-                    "When providing a transport instance, "
-                    "provide its credentials directly."
-                )
-            if client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = transport
-        else:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(
-                google.auth._default, "get_api_key_credentials"
-            ):
-                credentials = google.auth._default.get_api_key_credentials(
-                    api_key_value
-                )
-
-            Transport = type(self).get_transport_class(transport)
-            self._transport = Transport(
-                credentials=credentials,
-                credentials_file=client_options.credentials_file,
-                host=api_endpoint,
-                scopes=client_options.scopes,
-                client_cert_source_for_mtls=client_cert_source_func,
-                quota_project_id=client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=client_options.api_audience,
-            )
-
-    def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechClient()
-
-                # Initialize request argument(s)
-                config = speech_v1p1beta1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1p1beta1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1p1beta1.RecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                response = client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.RecognizeRequest, dict]):
-                The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-            config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v1p1beta1.types.RecognizeResponse:
-                The only message returned to the client by the Recognize method. It
-                   contains the result as zero or more sequential
-                   SpeechRecognitionResult messages.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.RecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.RecognizeRequest):
-            request = cloud_speech.RecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if config is not None:
-                request.config = config
-            if audio is not None:
-                request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.recognize]
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def long_running_recognize(
-        self,
-        request: Optional[Union[cloud_speech.LongRunningRecognizeRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        audio: Optional[cloud_speech.RecognitionAudio] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_long_running_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechClient()
-
-                # Initialize request argument(s)
-                config = speech_v1p1beta1.RecognitionConfig()
-                config.language_code = "language_code_value"
-
-                audio = speech_v1p1beta1.RecognitionAudio()
-                audio.content = b'content_blob'
-
-                request = speech_v1p1beta1.LongRunningRecognizeRequest(
-                    config=config,
-                    audio=audio,
-                )
-
-                # Make the request
-                operation = client.long_running_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v1p1beta1.types.LongRunningRecognizeRequest, dict]):
-                The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-            config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
-                Required. Provides information to the
-                recognizer that specifies how to process
-                the request.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
-                Required. The audio data to be
-                recognized.
-
-                This corresponds to the ``audio`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v1p1beta1.types.LongRunningRecognizeResponse` The only message returned to the client by the LongRunningRecognize method.
-                   It contains the result as zero or more sequential
-                   SpeechRecognitionResult messages. It is included in
-                   the result.response field of the Operation returned
-                   by the GetOperation call of the
-                   google::longrunning::Operations service.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, audio])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.LongRunningRecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.LongRunningRecognizeRequest):
-            request = cloud_speech.LongRunningRecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if config is not None:
-                request.config = config
-            if audio is not None:
-                request.audio = audio
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.long_running_recognize]
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.LongRunningRecognizeResponse,
-            metadata_type=cloud_speech.LongRunningRecognizeMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[Iterator[cloud_speech.StreamingRecognizeRequest]] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Iterable[cloud_speech.StreamingRecognizeResponse]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v1p1beta1
-
-            def sample_streaming_recognize():
-                # Create a client
-                client = speech_v1p1beta1.SpeechClient()
-
-                # Initialize request argument(s)
-                streaming_config = speech_v1p1beta1.StreamingRecognitionConfig()
-                streaming_config.config.language_code = "language_code_value"
-
-                request = speech_v1p1beta1.StreamingRecognizeRequest(
-                    streaming_config=streaming_config,
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v1p1beta1.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                for response in stream:
-                    print(response)
-
-        Args:
-            requests (Iterator[google.cloud.speech_v1p1beta1.types.StreamingRecognizeRequest]):
-                The request object iterator. The top-level message sent by the client for the
-                ``StreamingRecognize`` method. Multiple
-                ``StreamingRecognizeRequest`` messages are sent. The
-                first message must contain a ``streaming_config``
-                message and must not contain ``audio_content``. All
-                subsequent messages must contain ``audio_content`` and
-                must not contain a ``streaming_config`` message.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            Iterable[google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio, and
-                   single_utterance is set to false, then no messages
-                   are streamed back to the client.
-
-                   Here's an example of a series of
-                   StreamingRecognizeResponses that might be returned
-                   while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.streaming_recognize]
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "SpeechClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechClient",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/transports/__init__.py b/google/cloud/speech_v1p1beta1/services/speech/transports/__init__.py
deleted file mode 100644
index af913f1d..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/transports/__init__.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import SpeechTransport
-from .grpc import SpeechGrpcTransport
-from .grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .rest import SpeechRestTransport
-from .rest import SpeechRestInterceptor
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-_transport_registry["grpc"] = SpeechGrpcTransport
-_transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-_transport_registry["rest"] = SpeechRestTransport
-
-__all__ = (
-    "SpeechTransport",
-    "SpeechGrpcTransport",
-    "SpeechGrpcAsyncIOTransport",
-    "SpeechRestTransport",
-    "SpeechRestInterceptor",
-)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/transports/base.py b/google/cloud/speech_v1p1beta1/services/speech/transports/base.py
deleted file mode 100644
index dcc4094d..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/transports/base.py
+++ /dev/null
@@ -1,237 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.speech_v1p1beta1 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-class SpeechTransport(abc.ABC):
-    """Abstract transport class for Speech."""
-
-    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
-
-    DEFAULT_HOST: str = "speech.googleapis.com"
-
-    def __init__(
-        self,
-        *,
-        host: str = DEFAULT_HOST,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-        **kwargs,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs(
-                "'credentials_file' and 'credentials' are mutually exclusive"
-            )
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
-            )
-        elif credentials is None:
-            credentials, _ = google.auth.default(
-                **scopes_kwargs, quota_project_id=quota_project_id
-            )
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(
-                    api_audience if api_audience else host
-                )
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if (
-            always_use_jwt_access
-            and isinstance(credentials, service_account.Credentials)
-            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
-        ):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.recognize: gapic_v1.method.wrap_method(
-                self.recognize,
-                default_retry=retries.Retry(
-                    initial=0.1,
-                    maximum=60.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.DeadlineExceeded,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=5000.0,
-                ),
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-            self.long_running_recognize: gapic_v1.method.wrap_method(
-                self.long_running_recognize,
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-            self.streaming_recognize: gapic_v1.method.wrap_method(
-                self.streaming_recognize,
-                default_retry=retries.Retry(
-                    initial=0.1,
-                    maximum=60.0,
-                    multiplier=1.3,
-                    predicate=retries.if_exception_type(
-                        core_exceptions.DeadlineExceeded,
-                        core_exceptions.ServiceUnavailable,
-                    ),
-                    deadline=5000.0,
-                ),
-                default_timeout=5000.0,
-                client_info=client_info,
-            ),
-        }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-        .. warning::
-             Only call this method if the transport is NOT shared
-             with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest],
-        Union[
-            cloud_speech.RecognizeResponse, Awaitable[cloud_speech.RecognizeResponse]
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.LongRunningRecognizeRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Union[
-            cloud_speech.StreamingRecognizeResponse,
-            Awaitable[cloud_speech.StreamingRecognizeResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[
-            operations_pb2.ListOperationsResponse,
-            Awaitable[operations_pb2.ListOperationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = ("SpeechTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/transports/grpc.py b/google/cloud/speech_v1p1beta1/services/speech/transports/grpc.py
deleted file mode 100644
index eed20305..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/transports/grpc.py
+++ /dev/null
@@ -1,382 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-
-
-class SpeechGrpcTransport(SpeechTransport):
-    """gRPC backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _stubs: Dict[str, Callable]
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[grpc.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            channel (Optional[grpc.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service."""
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(self.grpc_channel)
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    ~.RecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[[cloud_speech.LongRunningRecognizeRequest], operations_pb2.Operation]:
-        r"""Return a callable for the long running recognize method over gRPC.
-
-        Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        Returns:
-            Callable[[~.LongRunningRecognizeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "long_running_recognize" not in self._stubs:
-            self._stubs["long_running_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Speech/LongRunningRecognize",
-                request_serializer=cloud_speech.LongRunningRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["long_running_recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    ~.StreamingRecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v1p1beta1.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = ("SpeechGrpcTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/transports/grpc_asyncio.py b/google/cloud/speech_v1p1beta1/services/speech/transports/grpc_asyncio.py
deleted file mode 100644
index 97dce876..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,387 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .grpc import SpeechGrpcTransport
-
-
-class SpeechGrpcAsyncIOTransport(SpeechTransport):
-    """gRPC AsyncIO backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[aio.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[aio.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest], Awaitable[cloud_speech.RecognizeResponse]
-    ]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    Awaitable[~.RecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.LongRunningRecognizeRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the long running recognize method over gRPC.
-
-        Performs asynchronous speech recognition: receive results via
-        the google.longrunning.Operations interface. Returns either an
-        ``Operation.error`` or an ``Operation.response`` which contains
-        a ``LongRunningRecognizeResponse`` message. For more information
-        on asynchronous speech recognition, see the
-        `how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
-
-        Returns:
-            Callable[[~.LongRunningRecognizeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "long_running_recognize" not in self._stubs:
-            self._stubs["long_running_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v1p1beta1.Speech/LongRunningRecognize",
-                request_serializer=cloud_speech.LongRunningRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["long_running_recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Awaitable[cloud_speech.StreamingRecognizeResponse],
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    Awaitable[~.StreamingRecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v1p1beta1.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-
-__all__ = ("SpeechGrpcAsyncIOTransport",)
diff --git a/google/cloud/speech_v1p1beta1/services/speech/transports/rest.py b/google/cloud/speech_v1p1beta1/services/speech/transports/rest.py
deleted file mode 100644
index f0d2bc4a..00000000
--- a/google/cloud/speech_v1p1beta1/services/speech/transports/rest.py
+++ /dev/null
@@ -1,704 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-from google.auth.transport.requests import AuthorizedSession  # type: ignore
-import json  # type: ignore
-import grpc  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry as retries
-from google.api_core import rest_helpers
-from google.api_core import rest_streaming
-from google.api_core import path_template
-from google.api_core import gapic_v1
-
-from google.protobuf import json_format
-from google.api_core import operations_v1
-from requests import __version__ as requests_version
-import dataclasses
-import re
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
-import warnings
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
-    grpc_version=None,
-    rest_version=requests_version,
-)
-
-
-class SpeechRestInterceptor:
-    """Interceptor for Speech.
-
-    Interceptors are used to manipulate requests, request metadata, and responses
-    in arbitrary ways.
-    Example use cases include:
-    * Logging
-    * Verifying requests according to service or custom semantics
-    * Stripping extraneous information from responses
-
-    These use cases and more can be enabled by injecting an
-    instance of a custom subclass when constructing the SpeechRestTransport.
-
-    .. code-block:: python
-        class MyCustomSpeechInterceptor(SpeechRestInterceptor):
-            def pre_long_running_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_long_running_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-        transport = SpeechRestTransport(interceptor=MyCustomSpeechInterceptor())
-        client = SpeechClient(transport=transport)
-
-
-    """
-
-    def pre_long_running_recognize(
-        self,
-        request: cloud_speech.LongRunningRecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.LongRunningRecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for long_running_recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_long_running_recognize(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for long_running_recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_recognize(
-        self,
-        request: cloud_speech.RecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.RecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_recognize(
-        self, response: cloud_speech.RecognizeResponse
-    ) -> cloud_speech.RecognizeResponse:
-        """Post-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_operation(
-        self,
-        request: operations_pb2.GetOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_operation(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_operations(
-        self,
-        request: operations_pb2.ListOperationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_operations(
-        self, response: operations_pb2.ListOperationsResponse
-    ) -> operations_pb2.ListOperationsResponse:
-        """Post-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-
-@dataclasses.dataclass
-class SpeechRestStub:
-    _session: AuthorizedSession
-    _host: str
-    _interceptor: SpeechRestInterceptor
-
-
-class SpeechRestTransport(SpeechTransport):
-    """REST backend transport for Speech.
-
-    Service that implements Google Cloud Speech API.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends JSON representations of protocol buffers over HTTP/1.1
-
-    """
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        url_scheme: str = "https",
-        interceptor: Optional[SpeechRestInterceptor] = None,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client
-                certificate to configure mutual TLS HTTP channel. It is ignored
-                if ``channel`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you are developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-            url_scheme: the protocol scheme for the API endpoint.  Normally
-                "https", but for testing or local servers,
-                "http" can be specified.
-        """
-        # Run the base constructor
-        # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc.
-        # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the
-        # credentials object
-        maybe_url_match = re.match("^(?P<scheme>http(?:s)?://)?(?P<host>.*)$", host)
-        if maybe_url_match is None:
-            raise ValueError(
-                f"Unexpected hostname structure: {host}"
-            )  # pragma: NO COVER
-
-        url_match_items = maybe_url_match.groupdict()
-
-        host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host
-
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-        self._session = AuthorizedSession(
-            self._credentials, default_host=self.DEFAULT_HOST
-        )
-        self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None
-        if client_cert_source_for_mtls:
-            self._session.configure_mtls_channel(client_cert_source_for_mtls)
-        self._interceptor = interceptor or SpeechRestInterceptor()
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def operations_client(self) -> operations_v1.AbstractOperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            http_options: Dict[str, List[Dict[str, str]]] = {
-                "google.longrunning.Operations.GetOperation": [
-                    {
-                        "method": "get",
-                        "uri": "/v1p1beta1/operations/{name=**}",
-                    },
-                ],
-                "google.longrunning.Operations.ListOperations": [
-                    {
-                        "method": "get",
-                        "uri": "/v1p1beta1/operations",
-                    },
-                ],
-            }
-
-            rest_transport = operations_v1.OperationsRestTransport(
-                host=self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                scopes=self._scopes,
-                http_options=http_options,
-                path_prefix="v1p1beta1",
-            )
-
-            self._operations_client = operations_v1.AbstractOperationsClient(
-                transport=rest_transport
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    class _LongRunningRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("LongRunningRecognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.LongRunningRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the long running recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.LongRunningRecognizeRequest):
-                    The request object. The top-level message sent by the client for the
-                ``LongRunningRecognize`` method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1p1beta1/speech:longrunningrecognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_long_running_recognize(
-                request, metadata
-            )
-            pb_request = cloud_speech.LongRunningRecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_long_running_recognize(resp)
-            return resp
-
-    class _Recognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("Recognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.RecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.RecognizeResponse:
-            r"""Call the recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.RecognizeRequest):
-                    The request object. The top-level message sent by the client for the
-                ``Recognize`` method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.RecognizeResponse:
-                    The only message returned to the client by the
-                ``Recognize`` method. It contains the result as zero or
-                more sequential ``SpeechRecognitionResult`` messages.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v1p1beta1/speech:recognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_recognize(request, metadata)
-            pb_request = cloud_speech.RecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.RecognizeResponse()
-            pb_resp = cloud_speech.RecognizeResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_recognize(resp)
-            return resp
-
-    class _StreamingRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("StreamingRecognize")
-
-        def __call__(
-            self,
-            request: cloud_speech.StreamingRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> rest_streaming.ResponseIterator:
-            raise NotImplementedError(
-                "Method StreamingRecognize is not available over REST transport"
-            )
-
-    @property
-    def long_running_recognize(
-        self,
-    ) -> Callable[[cloud_speech.LongRunningRecognizeRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._LongRunningRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._Recognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._StreamingRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_operation(self):
-        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetOperation(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.GetOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the get operation method over HTTP.
-
-            Args:
-                request (operations_pb2.GetOperationRequest):
-                    The request object for GetOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.Operation: Response from GetOperation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/operations/{name=**}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_operation(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.Operation()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_operation(resp)
-            return resp
-
-    @property
-    def list_operations(self):
-        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListOperations(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.ListOperationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.ListOperationsResponse:
-            r"""Call the list operations method over HTTP.
-
-            Args:
-                request (operations_pb2.ListOperationsRequest):
-                    The request object for ListOperations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.ListOperationsResponse: Response from ListOperations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v1p1beta1/operations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_operations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.ListOperationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_operations(resp)
-            return resp
-
-    @property
-    def kind(self) -> str:
-        return "rest"
-
-    def close(self):
-        self._session.close()
-
-
-__all__ = ("SpeechRestTransport",)
diff --git a/google/cloud/speech_v1p1beta1/types/__init__.py b/google/cloud/speech_v1p1beta1/types/__init__.py
deleted file mode 100644
index fdbdfe98..00000000
--- a/google/cloud/speech_v1p1beta1/types/__init__.py
+++ /dev/null
@@ -1,94 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .cloud_speech import (
-    LongRunningRecognizeMetadata,
-    LongRunningRecognizeRequest,
-    LongRunningRecognizeResponse,
-    RecognitionAudio,
-    RecognitionConfig,
-    RecognitionMetadata,
-    RecognizeRequest,
-    RecognizeResponse,
-    SpeakerDiarizationConfig,
-    SpeechAdaptationInfo,
-    SpeechContext,
-    SpeechRecognitionAlternative,
-    SpeechRecognitionResult,
-    StreamingRecognitionConfig,
-    StreamingRecognitionResult,
-    StreamingRecognizeRequest,
-    StreamingRecognizeResponse,
-    TranscriptOutputConfig,
-    WordInfo,
-)
-from .cloud_speech_adaptation import (
-    CreateCustomClassRequest,
-    CreatePhraseSetRequest,
-    DeleteCustomClassRequest,
-    DeletePhraseSetRequest,
-    GetCustomClassRequest,
-    GetPhraseSetRequest,
-    ListCustomClassesRequest,
-    ListCustomClassesResponse,
-    ListPhraseSetRequest,
-    ListPhraseSetResponse,
-    UpdateCustomClassRequest,
-    UpdatePhraseSetRequest,
-)
-from .resource import (
-    CustomClass,
-    PhraseSet,
-    SpeechAdaptation,
-    TranscriptNormalization,
-)
-
-__all__ = (
-    "LongRunningRecognizeMetadata",
-    "LongRunningRecognizeRequest",
-    "LongRunningRecognizeResponse",
-    "RecognitionAudio",
-    "RecognitionConfig",
-    "RecognitionMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptationInfo",
-    "SpeechContext",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "TranscriptOutputConfig",
-    "WordInfo",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetRequest",
-    "ListPhraseSetResponse",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "CustomClass",
-    "PhraseSet",
-    "SpeechAdaptation",
-    "TranscriptNormalization",
-)
diff --git a/google/cloud/speech_v1p1beta1/types/cloud_speech.py b/google/cloud/speech_v1p1beta1/types/cloud_speech.py
deleted file mode 100644
index 282ab813..00000000
--- a/google/cloud/speech_v1p1beta1/types/cloud_speech.py
+++ /dev/null
@@ -1,1578 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import resource
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from google.protobuf import wrappers_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1p1beta1",
-    manifest={
-        "RecognizeRequest",
-        "LongRunningRecognizeRequest",
-        "TranscriptOutputConfig",
-        "StreamingRecognizeRequest",
-        "StreamingRecognitionConfig",
-        "RecognitionConfig",
-        "SpeakerDiarizationConfig",
-        "RecognitionMetadata",
-        "SpeechContext",
-        "RecognitionAudio",
-        "RecognizeResponse",
-        "LongRunningRecognizeResponse",
-        "LongRunningRecognizeMetadata",
-        "StreamingRecognizeResponse",
-        "StreamingRecognitionResult",
-        "SpeechRecognitionResult",
-        "SpeechRecognitionAlternative",
-        "WordInfo",
-        "SpeechAdaptationInfo",
-    },
-)
-
-
-class RecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the ``Recognize``
-    method.
-
-    Attributes:
-        config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
-            Required. The audio data to be recognized.
-    """
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    audio: "RecognitionAudio" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionAudio",
-    )
-
-
-class LongRunningRecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the
-    ``LongRunningRecognize`` method.
-
-    Attributes:
-        config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
-            Required. The audio data to be recognized.
-        output_config (google.cloud.speech_v1p1beta1.types.TranscriptOutputConfig):
-            Optional. Specifies an optional destination
-            for the recognition results.
-    """
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    audio: "RecognitionAudio" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionAudio",
-    )
-    output_config: "TranscriptOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message="TranscriptOutputConfig",
-    )
-
-
-class TranscriptOutputConfig(proto.Message):
-    r"""Specifies an optional destination for the recognition
-    results.
-
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        gcs_uri (str):
-            Specifies a Cloud Storage URI for the recognition results.
-            Must be specified in the format:
-            ``gs://bucket_name/object_name``, and the bucket must
-            already exist.
-
-            This field is a member of `oneof`_ ``output_type``.
-    """
-
-    gcs_uri: str = proto.Field(
-        proto.STRING,
-        number=1,
-        oneof="output_type",
-    )
-
-
-class StreamingRecognizeRequest(proto.Message):
-    r"""The top-level message sent by the client for the
-    ``StreamingRecognize`` method. Multiple
-    ``StreamingRecognizeRequest`` messages are sent. The first message
-    must contain a ``streaming_config`` message and must not contain
-    ``audio_content``. All subsequent messages must contain
-    ``audio_content`` and must not contain a ``streaming_config``
-    message.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        streaming_config (google.cloud.speech_v1p1beta1.types.StreamingRecognitionConfig):
-            Provides information to the recognizer that specifies how to
-            process the request. The first ``StreamingRecognizeRequest``
-            message must contain a ``streaming_config`` message.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-        audio_content (bytes):
-            The audio data to be recognized. Sequential chunks of audio
-            data are sent in sequential ``StreamingRecognizeRequest``
-            messages. The first ``StreamingRecognizeRequest`` message
-            must not contain ``audio_content`` data and all subsequent
-            ``StreamingRecognizeRequest`` messages must contain
-            ``audio_content`` data. The audio bytes must be encoded as
-            specified in ``RecognitionConfig``. Note: as with all bytes
-            fields, proto buffers use a pure binary representation (not
-            base64). See `content
-            limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-    """
-
-    streaming_config: "StreamingRecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        oneof="streaming_request",
-        message="StreamingRecognitionConfig",
-    )
-    audio_content: bytes = proto.Field(
-        proto.BYTES,
-        number=2,
-        oneof="streaming_request",
-    )
-
-
-class StreamingRecognitionConfig(proto.Message):
-    r"""Provides information to the recognizer that specifies how to
-    process the request.
-
-    Attributes:
-        config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
-            Required. Provides information to the
-            recognizer that specifies how to process the
-            request.
-        single_utterance (bool):
-            If ``false`` or omitted, the recognizer will perform
-            continuous recognition (continuing to wait for and process
-            audio even if the user pauses speaking) until the client
-            closes the input stream (gRPC API) or until the maximum time
-            limit has been reached. May return multiple
-            ``StreamingRecognitionResult``\ s with the ``is_final`` flag
-            set to ``true``.
-
-            If ``true``, the recognizer will detect a single spoken
-            utterance. When it detects that the user has paused or
-            stopped speaking, it will return an
-            ``END_OF_SINGLE_UTTERANCE`` event and cease recognition. It
-            will return no more than one ``StreamingRecognitionResult``
-            with the ``is_final`` flag set to ``true``.
-
-            The ``single_utterance`` field can only be used with
-            specified models, otherwise an error is thrown. The
-            ``model`` field in [``RecognitionConfig``][] must be set to:
-
-            -  ``command_and_search``
-            -  ``phone_call`` AND additional field
-               ``useEnhanced``\ =\ ``true``
-            -  The ``model`` field is left undefined. In this case the
-               API auto-selects a model based on any other parameters
-               that you set in ``RecognitionConfig``.
-        interim_results (bool):
-            If ``true``, interim results (tentative hypotheses) may be
-            returned as they become available (these interim results are
-            indicated with the ``is_final=false`` flag). If ``false`` or
-            omitted, only ``is_final=true`` result(s) are returned.
-        enable_voice_activity_events (bool):
-            If ``true``, responses with voice activity speech events
-            will be returned as they are detected.
-        voice_activity_timeout (google.cloud.speech_v1p1beta1.types.StreamingRecognitionConfig.VoiceActivityTimeout):
-            If set, the server will automatically close the stream after
-            the specified duration has elapsed after the last
-            VOICE_ACTIVITY speech event has been sent. The field
-            ``voice_activity_events`` must also be set to true.
-    """
-
-    class VoiceActivityTimeout(proto.Message):
-        r"""Events that a timeout can be set on for voice activity.
-
-        Attributes:
-            speech_start_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream if no speech
-                begins.
-            speech_end_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream after speech
-                ends.
-        """
-
-        speech_start_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message=duration_pb2.Duration,
-        )
-        speech_end_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message=duration_pb2.Duration,
-        )
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    single_utterance: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    interim_results: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    enable_voice_activity_events: bool = proto.Field(
-        proto.BOOL,
-        number=5,
-    )
-    voice_activity_timeout: VoiceActivityTimeout = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=VoiceActivityTimeout,
-    )
-
-
-class RecognitionConfig(proto.Message):
-    r"""Provides information to the recognizer that specifies how to
-    process the request.
-
-    Attributes:
-        encoding (google.cloud.speech_v1p1beta1.types.RecognitionConfig.AudioEncoding):
-            Encoding of audio data sent in all ``RecognitionAudio``
-            messages. This field is optional for ``FLAC`` and ``WAV``
-            audio files and required for all other audio formats. For
-            details, see
-            [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
-        sample_rate_hertz (int):
-            Sample rate in Hertz of the audio data sent in all
-            ``RecognitionAudio`` messages. Valid values are: 8000-48000.
-            16000 is optimal. For best results, set the sampling rate of
-            the audio source to 16000 Hz. If that's not possible, use
-            the native sample rate of the audio source (instead of
-            re-sampling). This field is optional for FLAC and WAV audio
-            files, but is required for all other audio formats. For
-            details, see
-            [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
-        audio_channel_count (int):
-            The number of channels in the input audio data. ONLY set
-            this for MULTI-CHANNEL recognition. Valid values for
-            LINEAR16, OGG_OPUS and FLAC are ``1``-``8``. Valid value for
-            MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only ``1``.
-            If ``0`` or omitted, defaults to one channel (mono). Note:
-            We only recognize the first channel by default. To perform
-            independent recognition on each channel set
-            ``enable_separate_recognition_per_channel`` to 'true'.
-        enable_separate_recognition_per_channel (bool):
-            This needs to be set to ``true`` explicitly and
-            ``audio_channel_count`` > 1 to get each channel recognized
-            separately. The recognition result will contain a
-            ``channel_tag`` field to state which channel that result
-            belongs to. If this is not true, we will only recognize the
-            first channel. The request is billed cumulatively for all
-            channels recognized: ``audio_channel_count`` multiplied by
-            the length of the audio.
-        language_code (str):
-            Required. The language of the supplied audio as a
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag. Example: "en-US". See `Language
-            Support <https://cloud.google.com/speech-to-text/docs/languages>`__
-            for a list of the currently supported language codes.
-        alternative_language_codes (MutableSequence[str]):
-            A list of up to 3 additional
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tags, listing possible alternative languages of the
-            supplied audio. See `Language
-            Support <https://cloud.google.com/speech-to-text/docs/languages>`__
-            for a list of the currently supported language codes. If
-            alternative languages are listed, recognition result will
-            contain recognition in the most likely language detected
-            including the main language_code. The recognition result
-            will include the language tag of the language detected in
-            the audio. Note: This feature is only supported for Voice
-            Command and Voice Search use cases and performance may vary
-            for other use cases (e.g., phone call transcription).
-        max_alternatives (int):
-            Maximum number of recognition hypotheses to be returned.
-            Specifically, the maximum number of
-            ``SpeechRecognitionAlternative`` messages within each
-            ``SpeechRecognitionResult``. The server may return fewer
-            than ``max_alternatives``. Valid values are ``0``-``30``. A
-            value of ``0`` or ``1`` will return a maximum of one. If
-            omitted, will return a maximum of one.
-        profanity_filter (bool):
-            If set to ``true``, the server will attempt to filter out
-            profanities, replacing all but the initial character in each
-            filtered word with asterisks, e.g. "f***". If set to
-            ``false`` or omitted, profanities won't be filtered out.
-        adaptation (google.cloud.speech_v1p1beta1.types.SpeechAdaptation):
-            Speech adaptation configuration improves the accuracy of
-            speech recognition. For more information, see the `speech
-            adaptation <https://cloud.google.com/speech-to-text/docs/adaptation>`__
-            documentation. When speech adaptation is set it supersedes
-            the ``speech_contexts`` field.
-        transcript_normalization (google.cloud.speech_v1p1beta1.types.TranscriptNormalization):
-            Use transcription normalization to
-            automatically replace parts of the transcript
-            with phrases of your choosing. For
-            StreamingRecognize, this normalization only
-            applies to stable partial transcripts (stability
-            > 0.8) and final transcripts.
-        speech_contexts (MutableSequence[google.cloud.speech_v1p1beta1.types.SpeechContext]):
-            Array of
-            [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
-            A means to provide context to assist the speech recognition.
-            For more information, see `speech
-            adaptation <https://cloud.google.com/speech-to-text/docs/adaptation>`__.
-        enable_word_time_offsets (bool):
-            If ``true``, the top result includes a list of words and the
-            start and end time offsets (timestamps) for those words. If
-            ``false``, no word-level time offset information is
-            returned. The default is ``false``.
-        enable_word_confidence (bool):
-            If ``true``, the top result includes a list of words and the
-            confidence for those words. If ``false``, no word-level
-            confidence information is returned. The default is
-            ``false``.
-        enable_automatic_punctuation (bool):
-            If 'true', adds punctuation to recognition
-            result hypotheses. This feature is only
-            available in select languages. Setting this for
-            requests in other languages has no effect at
-            all. The default 'false' value does not add
-            punctuation to result hypotheses.
-        enable_spoken_punctuation (google.protobuf.wrappers_pb2.BoolValue):
-            The spoken punctuation behavior for the call If not set,
-            uses default behavior based on model of choice e.g.
-            command_and_search will enable spoken punctuation by default
-            If 'true', replaces spoken punctuation with the
-            corresponding symbols in the request. For example, "how are
-            you question mark" becomes "how are you?". See
-            https://cloud.google.com/speech-to-text/docs/spoken-punctuation
-            for support. If 'false', spoken punctuation is not replaced.
-        enable_spoken_emojis (google.protobuf.wrappers_pb2.BoolValue):
-            The spoken emoji behavior for the call
-            If not set, uses default behavior based on model
-            of choice If 'true', adds spoken emoji
-            formatting for the request. This will replace
-            spoken emojis with the corresponding Unicode
-            symbols in the final transcript. If 'false',
-            spoken emojis are not replaced.
-        enable_speaker_diarization (bool):
-            If 'true', enables speaker detection for each recognized
-            word in the top alternative of the recognition result using
-            a speaker_tag provided in the WordInfo. Note: Use
-            diarization_config instead.
-        diarization_speaker_count (int):
-            If set, specifies the estimated number of speakers in the
-            conversation. Defaults to '2'. Ignored unless
-            enable_speaker_diarization is set to true. Note: Use
-            diarization_config instead.
-        diarization_config (google.cloud.speech_v1p1beta1.types.SpeakerDiarizationConfig):
-            Config to enable speaker diarization and set
-            additional parameters to make diarization better
-            suited for your application. Note: When this is
-            enabled, we send all the words from the
-            beginning of the audio for the top alternative
-            in every consecutive STREAMING responses. This
-            is done in order to improve our speaker tags as
-            our models learn to identify the speakers in the
-            conversation over time. For non-streaming
-            requests, the diarization results will be
-            provided only in the top alternative of the
-            FINAL SpeechRecognitionResult.
-        metadata (google.cloud.speech_v1p1beta1.types.RecognitionMetadata):
-            Metadata regarding this request.
-        model (str):
-            Which model to select for the given request. Select the
-            model best suited to your domain to get best results. If a
-            model is not explicitly specified, then we auto-select a
-            model based on the parameters in the RecognitionConfig.
-
-            .. raw:: html
-
-                <table>
-                  <tr>
-                    <td><b>Model</b></td>
-                    <td><b>Description</b></td>
-                  </tr>
-                  <tr>
-                    <td><code>latest_long</code></td>
-                    <td>Best for long form content like media or conversation.</td>
-                  </tr>
-                  <tr>
-                    <td><code>latest_short</code></td>
-                    <td>Best for short form content like commands or single shot directed
-                    speech.</td>
-                  </tr>
-                  <tr>
-                    <td><code>command_and_search</code></td>
-                    <td>Best for short queries such as voice commands or voice search.</td>
-                  </tr>
-                  <tr>
-                    <td><code>phone_call</code></td>
-                    <td>Best for audio that originated from a phone call (typically
-                    recorded at an 8khz sampling rate).</td>
-                  </tr>
-                  <tr>
-                    <td><code>video</code></td>
-                    <td>Best for audio that originated from video or includes multiple
-                        speakers. Ideally the audio is recorded at a 16khz or greater
-                        sampling rate. This is a premium model that costs more than the
-                        standard rate.</td>
-                  </tr>
-                  <tr>
-                    <td><code>default</code></td>
-                    <td>Best for audio that is not one of the specific audio models.
-                        For example, long-form audio. Ideally the audio is high-fidelity,
-                        recorded at a 16khz or greater sampling rate.</td>
-                  </tr>
-                  <tr>
-                    <td><code>medical_conversation</code></td>
-                    <td>Best for audio that originated from a conversation between a
-                        medical provider and patient.</td>
-                  </tr>
-                  <tr>
-                    <td><code>medical_dictation</code></td>
-                    <td>Best for audio that originated from dictation notes by a medical
-                        provider.</td>
-                  </tr>
-                </table>
-        use_enhanced (bool):
-            Set to true to use an enhanced model for speech recognition.
-            If ``use_enhanced`` is set to true and the ``model`` field
-            is not set, then an appropriate enhanced model is chosen if
-            an enhanced model exists for the audio.
-
-            If ``use_enhanced`` is true and an enhanced version of the
-            specified model does not exist, then the speech is
-            recognized using the standard version of the specified
-            model.
-    """
-
-    class AudioEncoding(proto.Enum):
-        r"""The encoding of the audio data sent in the request.
-
-        All encodings support only 1 channel (mono) audio, unless the
-        ``audio_channel_count`` and
-        ``enable_separate_recognition_per_channel`` fields are set.
-
-        For best results, the audio source should be captured and
-        transmitted using a lossless encoding (``FLAC`` or ``LINEAR16``).
-        The accuracy of the speech recognition can be reduced if lossy
-        codecs are used to capture or transmit audio, particularly if
-        background noise is present. Lossy codecs include ``MULAW``,
-        ``AMR``, ``AMR_WB``, ``OGG_OPUS``, ``SPEEX_WITH_HEADER_BYTE``,
-        ``MP3``, and ``WEBM_OPUS``.
-
-        The ``FLAC`` and ``WAV`` audio file formats include a header that
-        describes the included audio content. You can request recognition
-        for ``WAV`` files that contain either ``LINEAR16`` or ``MULAW``
-        encoded audio. If you send ``FLAC`` or ``WAV`` audio file format in
-        your request, you do not need to specify an ``AudioEncoding``; the
-        audio encoding format is determined from the file header. If you
-        specify an ``AudioEncoding`` when you send send ``FLAC`` or ``WAV``
-        audio, the encoding configuration must match the encoding described
-        in the audio header; otherwise the request returns an
-        [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]
-        error code.
-
-        Values:
-            ENCODING_UNSPECIFIED (0):
-                Not specified.
-            LINEAR16 (1):
-                Uncompressed 16-bit signed little-endian
-                samples (Linear PCM).
-            FLAC (2):
-                ``FLAC`` (Free Lossless Audio Codec) is the recommended
-                encoding because it is lossless--therefore recognition is
-                not compromised--and requires only about half the bandwidth
-                of ``LINEAR16``. ``FLAC`` stream encoding supports 16-bit
-                and 24-bit samples, however, not all fields in
-                ``STREAMINFO`` are supported.
-            MULAW (3):
-                8-bit samples that compand 14-bit audio
-                samples using G.711 PCMU/mu-law.
-            AMR (4):
-                Adaptive Multi-Rate Narrowband codec. ``sample_rate_hertz``
-                must be 8000.
-            AMR_WB (5):
-                Adaptive Multi-Rate Wideband codec. ``sample_rate_hertz``
-                must be 16000.
-            OGG_OPUS (6):
-                Opus encoded audio frames in Ogg container
-                (`OggOpus <https://wiki.xiph.org/OggOpus>`__).
-                ``sample_rate_hertz`` must be one of 8000, 12000, 16000,
-                24000, or 48000.
-            SPEEX_WITH_HEADER_BYTE (7):
-                Although the use of lossy encodings is not recommended, if a
-                very low bitrate encoding is required, ``OGG_OPUS`` is
-                highly preferred over Speex encoding. The
-                `Speex <https://speex.org/>`__ encoding supported by Cloud
-                Speech API has a header byte in each block, as in MIME type
-                ``audio/x-speex-with-header-byte``. It is a variant of the
-                RTP Speex encoding defined in `RFC
-                5574 <https://tools.ietf.org/html/rfc5574>`__. The stream is
-                a sequence of blocks, one block per RTP packet. Each block
-                starts with a byte containing the length of the block, in
-                bytes, followed by one or more frames of Speex data, padded
-                to an integral number of bytes (octets) as specified in RFC
-                5574. In other words, each RTP header is replaced with a
-                single byte containing the block length. Only Speex wideband
-                is supported. ``sample_rate_hertz`` must be 16000.
-            MP3 (8):
-                MP3 audio. MP3 encoding is a Beta feature and only available
-                in v1p1beta1. Support all standard MP3 bitrates (which range
-                from 32-320 kbps). When using this encoding,
-                ``sample_rate_hertz`` has to match the sample rate of the
-                file being used.
-            WEBM_OPUS (9):
-                Opus encoded audio frames in WebM container
-                (`OggOpus <https://wiki.xiph.org/OggOpus>`__).
-                ``sample_rate_hertz`` must be one of 8000, 12000, 16000,
-                24000, or 48000.
-        """
-        ENCODING_UNSPECIFIED = 0
-        LINEAR16 = 1
-        FLAC = 2
-        MULAW = 3
-        AMR = 4
-        AMR_WB = 5
-        OGG_OPUS = 6
-        SPEEX_WITH_HEADER_BYTE = 7
-        MP3 = 8
-        WEBM_OPUS = 9
-
-    encoding: AudioEncoding = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=AudioEncoding,
-    )
-    sample_rate_hertz: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    audio_channel_count: int = proto.Field(
-        proto.INT32,
-        number=7,
-    )
-    enable_separate_recognition_per_channel: bool = proto.Field(
-        proto.BOOL,
-        number=12,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    alternative_language_codes: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=18,
-    )
-    max_alternatives: int = proto.Field(
-        proto.INT32,
-        number=4,
-    )
-    profanity_filter: bool = proto.Field(
-        proto.BOOL,
-        number=5,
-    )
-    adaptation: resource.SpeechAdaptation = proto.Field(
-        proto.MESSAGE,
-        number=20,
-        message=resource.SpeechAdaptation,
-    )
-    transcript_normalization: resource.TranscriptNormalization = proto.Field(
-        proto.MESSAGE,
-        number=24,
-        message=resource.TranscriptNormalization,
-    )
-    speech_contexts: MutableSequence["SpeechContext"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=6,
-        message="SpeechContext",
-    )
-    enable_word_time_offsets: bool = proto.Field(
-        proto.BOOL,
-        number=8,
-    )
-    enable_word_confidence: bool = proto.Field(
-        proto.BOOL,
-        number=15,
-    )
-    enable_automatic_punctuation: bool = proto.Field(
-        proto.BOOL,
-        number=11,
-    )
-    enable_spoken_punctuation: wrappers_pb2.BoolValue = proto.Field(
-        proto.MESSAGE,
-        number=22,
-        message=wrappers_pb2.BoolValue,
-    )
-    enable_spoken_emojis: wrappers_pb2.BoolValue = proto.Field(
-        proto.MESSAGE,
-        number=23,
-        message=wrappers_pb2.BoolValue,
-    )
-    enable_speaker_diarization: bool = proto.Field(
-        proto.BOOL,
-        number=16,
-    )
-    diarization_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=17,
-    )
-    diarization_config: "SpeakerDiarizationConfig" = proto.Field(
-        proto.MESSAGE,
-        number=19,
-        message="SpeakerDiarizationConfig",
-    )
-    metadata: "RecognitionMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message="RecognitionMetadata",
-    )
-    model: str = proto.Field(
-        proto.STRING,
-        number=13,
-    )
-    use_enhanced: bool = proto.Field(
-        proto.BOOL,
-        number=14,
-    )
-
-
-class SpeakerDiarizationConfig(proto.Message):
-    r"""Config to enable speaker diarization.
-
-    Attributes:
-        enable_speaker_diarization (bool):
-            If 'true', enables speaker detection for each recognized
-            word in the top alternative of the recognition result using
-            a speaker_tag provided in the WordInfo.
-        min_speaker_count (int):
-            Minimum number of speakers in the
-            conversation. This range gives you more
-            flexibility by allowing the system to
-            automatically determine the correct number of
-            speakers. If not set, the default value is 2.
-        max_speaker_count (int):
-            Maximum number of speakers in the
-            conversation. This range gives you more
-            flexibility by allowing the system to
-            automatically determine the correct number of
-            speakers. If not set, the default value is 6.
-        speaker_tag (int):
-            Output only. Unused.
-    """
-
-    enable_speaker_diarization: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    min_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    max_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-    speaker_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-
-
-class RecognitionMetadata(proto.Message):
-    r"""Description of audio data to be recognized.
-
-    Attributes:
-        interaction_type (google.cloud.speech_v1p1beta1.types.RecognitionMetadata.InteractionType):
-            The use case most closely describing the
-            audio content to be recognized.
-        industry_naics_code_of_audio (int):
-            The industry vertical to which this speech
-            recognition request most closely applies. This
-            is most indicative of the topics contained in
-            the audio.  Use the 6-digit NAICS code to
-            identify the industry vertical - see
-            https://www.naics.com/search/.
-        microphone_distance (google.cloud.speech_v1p1beta1.types.RecognitionMetadata.MicrophoneDistance):
-            The audio type that most closely describes
-            the audio being recognized.
-        original_media_type (google.cloud.speech_v1p1beta1.types.RecognitionMetadata.OriginalMediaType):
-            The original media the speech was recorded
-            on.
-        recording_device_type (google.cloud.speech_v1p1beta1.types.RecognitionMetadata.RecordingDeviceType):
-            The type of device the speech was recorded
-            with.
-        recording_device_name (str):
-            The device used to make the recording.
-            Examples 'Nexus 5X' or 'Polycom SoundStation IP
-            6000' or 'POTS' or 'VoIP' or 'Cardioid
-            Microphone'.
-        original_mime_type (str):
-            Mime type of the original audio file. For example
-            ``audio/m4a``, ``audio/x-alaw-basic``, ``audio/mp3``,
-            ``audio/3gpp``. A list of possible audio mime types is
-            maintained at
-            http://www.iana.org/assignments/media-types/media-types.xhtml#audio
-        obfuscated_id (int):
-            Obfuscated (privacy-protected) ID of the
-            user, to identify number of unique users using
-            the service.
-        audio_topic (str):
-            Description of the content. Eg. "Recordings
-            of federal supreme court hearings from 2012".
-    """
-
-    class InteractionType(proto.Enum):
-        r"""Use case categories that the audio recognition request can be
-        described by.
-
-        Values:
-            INTERACTION_TYPE_UNSPECIFIED (0):
-                Use case is either unknown or is something
-                other than one of the other values below.
-            DISCUSSION (1):
-                Multiple people in a conversation or discussion. For example
-                in a meeting with two or more people actively participating.
-                Typically all the primary people speaking would be in the
-                same room (if not, see PHONE_CALL)
-            PRESENTATION (2):
-                One or more persons lecturing or presenting
-                to others, mostly uninterrupted.
-            PHONE_CALL (3):
-                A phone-call or video-conference in which two
-                or more people, who are not in the same room,
-                are actively participating.
-            VOICEMAIL (4):
-                A recorded message intended for another
-                person to listen to.
-            PROFESSIONALLY_PRODUCED (5):
-                Professionally produced audio (eg. TV Show,
-                Podcast).
-            VOICE_SEARCH (6):
-                Transcribe spoken questions and queries into
-                text.
-            VOICE_COMMAND (7):
-                Transcribe voice commands, such as for
-                controlling a device.
-            DICTATION (8):
-                Transcribe speech to text to create a written
-                document, such as a text-message, email or
-                report.
-        """
-        INTERACTION_TYPE_UNSPECIFIED = 0
-        DISCUSSION = 1
-        PRESENTATION = 2
-        PHONE_CALL = 3
-        VOICEMAIL = 4
-        PROFESSIONALLY_PRODUCED = 5
-        VOICE_SEARCH = 6
-        VOICE_COMMAND = 7
-        DICTATION = 8
-
-    class MicrophoneDistance(proto.Enum):
-        r"""Enumerates the types of capture settings describing an audio
-        file.
-
-        Values:
-            MICROPHONE_DISTANCE_UNSPECIFIED (0):
-                Audio type is not known.
-            NEARFIELD (1):
-                The audio was captured from a closely placed
-                microphone. Eg. phone, dictaphone, or handheld
-                microphone. Generally if there speaker is within
-                1 meter of the microphone.
-            MIDFIELD (2):
-                The speaker if within 3 meters of the
-                microphone.
-            FARFIELD (3):
-                The speaker is more than 3 meters away from
-                the microphone.
-        """
-        MICROPHONE_DISTANCE_UNSPECIFIED = 0
-        NEARFIELD = 1
-        MIDFIELD = 2
-        FARFIELD = 3
-
-    class OriginalMediaType(proto.Enum):
-        r"""The original media the speech was recorded on.
-
-        Values:
-            ORIGINAL_MEDIA_TYPE_UNSPECIFIED (0):
-                Unknown original media type.
-            AUDIO (1):
-                The speech data is an audio recording.
-            VIDEO (2):
-                The speech data originally recorded on a
-                video.
-        """
-        ORIGINAL_MEDIA_TYPE_UNSPECIFIED = 0
-        AUDIO = 1
-        VIDEO = 2
-
-    class RecordingDeviceType(proto.Enum):
-        r"""The type of device the speech was recorded with.
-
-        Values:
-            RECORDING_DEVICE_TYPE_UNSPECIFIED (0):
-                The recording device is unknown.
-            SMARTPHONE (1):
-                Speech was recorded on a smartphone.
-            PC (2):
-                Speech was recorded using a personal computer
-                or tablet.
-            PHONE_LINE (3):
-                Speech was recorded over a phone line.
-            VEHICLE (4):
-                Speech was recorded in a vehicle.
-            OTHER_OUTDOOR_DEVICE (5):
-                Speech was recorded outdoors.
-            OTHER_INDOOR_DEVICE (6):
-                Speech was recorded indoors.
-        """
-        RECORDING_DEVICE_TYPE_UNSPECIFIED = 0
-        SMARTPHONE = 1
-        PC = 2
-        PHONE_LINE = 3
-        VEHICLE = 4
-        OTHER_OUTDOOR_DEVICE = 5
-        OTHER_INDOOR_DEVICE = 6
-
-    interaction_type: InteractionType = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=InteractionType,
-    )
-    industry_naics_code_of_audio: int = proto.Field(
-        proto.UINT32,
-        number=3,
-    )
-    microphone_distance: MicrophoneDistance = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=MicrophoneDistance,
-    )
-    original_media_type: OriginalMediaType = proto.Field(
-        proto.ENUM,
-        number=5,
-        enum=OriginalMediaType,
-    )
-    recording_device_type: RecordingDeviceType = proto.Field(
-        proto.ENUM,
-        number=6,
-        enum=RecordingDeviceType,
-    )
-    recording_device_name: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    original_mime_type: str = proto.Field(
-        proto.STRING,
-        number=8,
-    )
-    obfuscated_id: int = proto.Field(
-        proto.INT64,
-        number=9,
-    )
-    audio_topic: str = proto.Field(
-        proto.STRING,
-        number=10,
-    )
-
-
-class SpeechContext(proto.Message):
-    r"""Provides "hints" to the speech recognizer to favor specific
-    words and phrases in the results.
-
-    Attributes:
-        phrases (MutableSequence[str]):
-            A list of strings containing words and phrases "hints" so
-            that the speech recognition is more likely to recognize
-            them. This can be used to improve the accuracy for specific
-            words and phrases, for example, if specific commands are
-            typically spoken by the user. This can also be used to add
-            additional words to the vocabulary of the recognizer. See
-            `usage
-            limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-            List items can also be set to classes for groups of words
-            that represent common concepts that occur in natural
-            language. For example, rather than providing phrase hints
-            for every month of the year, using the $MONTH class improves
-            the likelihood of correctly transcribing audio that includes
-            months.
-        boost (float):
-            Hint Boost. Positive value will increase the probability
-            that a specific phrase will be recognized over other similar
-            sounding phrases. The higher the boost, the higher the
-            chance of false positive recognition as well. Negative boost
-            values would correspond to anti-biasing. Anti-biasing is not
-            enabled, so negative boost will simply be ignored. Though
-            ``boost`` can accept a wide range of positive values, most
-            use cases are best served with values between 0 and 20. We
-            recommend using a binary search approach to finding the
-            optimal value for your use case.
-    """
-
-    phrases: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=1,
-    )
-    boost: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-
-
-class RecognitionAudio(proto.Message):
-    r"""Contains audio data in the encoding specified in the
-    ``RecognitionConfig``. Either ``content`` or ``uri`` must be
-    supplied. Supplying both or neither returns
-    [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
-    See `content
-    limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        content (bytes):
-            The audio data bytes encoded as specified in
-            ``RecognitionConfig``. Note: as with all bytes fields, proto
-            buffers use a pure binary representation, whereas JSON
-            representations use base64.
-
-            This field is a member of `oneof`_ ``audio_source``.
-        uri (str):
-            URI that points to a file that contains audio data bytes as
-            specified in ``RecognitionConfig``. The file must not be
-            compressed (for example, gzip). Currently, only Google Cloud
-            Storage URIs are supported, which must be specified in the
-            following format: ``gs://bucket_name/object_name`` (other
-            URI formats return
-            [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]).
-            For more information, see `Request
-            URIs <https://cloud.google.com/storage/docs/reference-uris>`__.
-
-            This field is a member of `oneof`_ ``audio_source``.
-    """
-
-    content: bytes = proto.Field(
-        proto.BYTES,
-        number=1,
-        oneof="audio_source",
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=2,
-        oneof="audio_source",
-    )
-
-
-class RecognizeResponse(proto.Message):
-    r"""The only message returned to the client by the ``Recognize`` method.
-    It contains the result as zero or more sequential
-    ``SpeechRecognitionResult`` messages.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v1p1beta1.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-        speech_adaptation_info (google.cloud.speech_v1p1beta1.types.SpeechAdaptationInfo):
-            Provides information on adaptation behavior
-            in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="SpeechRecognitionResult",
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=duration_pb2.Duration,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=8,
-    )
-
-
-class LongRunningRecognizeResponse(proto.Message):
-    r"""The only message returned to the client by the
-    ``LongRunningRecognize`` method. It contains the result as zero or
-    more sequential ``SpeechRecognitionResult`` messages. It is included
-    in the ``result.response`` field of the ``Operation`` returned by
-    the ``GetOperation`` call of the ``google::longrunning::Operations``
-    service.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v1p1beta1.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-        output_config (google.cloud.speech_v1p1beta1.types.TranscriptOutputConfig):
-            Original output config if present in the
-            request.
-        output_error (google.rpc.status_pb2.Status):
-            If the transcript output fails this field
-            contains the relevant error.
-        speech_adaptation_info (google.cloud.speech_v1p1beta1.types.SpeechAdaptationInfo):
-            Provides information on speech adaptation
-            behavior in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="SpeechRecognitionResult",
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=duration_pb2.Duration,
-    )
-    output_config: "TranscriptOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message="TranscriptOutputConfig",
-    )
-    output_error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=status_pb2.Status,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=9,
-    )
-
-
-class LongRunningRecognizeMetadata(proto.Message):
-    r"""Describes the progress of a long-running ``LongRunningRecognize``
-    call. It is included in the ``metadata`` field of the ``Operation``
-    returned by the ``GetOperation`` call of the
-    ``google::longrunning::Operations`` service.
-
-    Attributes:
-        progress_percent (int):
-            Approximate percentage of audio processed
-            thus far. Guaranteed to be 100 when the audio is
-            fully processed and the results are available.
-        start_time (google.protobuf.timestamp_pb2.Timestamp):
-            Time when the request was received.
-        last_update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Time of the most recent processing update.
-        uri (str):
-            Output only. The URI of the audio file being
-            transcribed. Empty if the audio was sent as byte
-            content.
-        output_config (google.cloud.speech_v1p1beta1.types.TranscriptOutputConfig):
-            Output only. A copy of the
-            TranscriptOutputConfig if it was set in the
-            request.
-    """
-
-    progress_percent: int = proto.Field(
-        proto.INT32,
-        number=1,
-    )
-    start_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=timestamp_pb2.Timestamp,
-    )
-    last_update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    output_config: "TranscriptOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message="TranscriptOutputConfig",
-    )
-
-
-class StreamingRecognizeResponse(proto.Message):
-    r"""``StreamingRecognizeResponse`` is the only message returned to the
-    client by ``StreamingRecognize``. A series of zero or more
-    ``StreamingRecognizeResponse`` messages are streamed back to the
-    client. If there is no recognizable audio, and ``single_utterance``
-    is set to false, then no messages are streamed back to the client.
-
-    Here's an example of a series of ``StreamingRecognizeResponse``\ s
-    that might be returned while processing audio:
-
-    1. results { alternatives { transcript: "tube" } stability: 0.01 }
-
-    2. results { alternatives { transcript: "to be a" } stability: 0.01
-       }
-
-    3. results { alternatives { transcript: "to be" } stability: 0.9 }
-       results { alternatives { transcript: " or not to be" } stability:
-       0.01 }
-
-    4. results { alternatives { transcript: "to be or not to be"
-       confidence: 0.92 } alternatives { transcript: "to bee or not to
-       bee" } is_final: true }
-
-    5. results { alternatives { transcript: " that's" } stability: 0.01
-       }
-
-    6. results { alternatives { transcript: " that is" } stability: 0.9
-       } results { alternatives { transcript: " the question" }
-       stability: 0.01 }
-
-    7. results { alternatives { transcript: " that is the question"
-       confidence: 0.98 } alternatives { transcript: " that was the
-       question" } is_final: true }
-
-    Notes:
-
-    -  Only two of the above responses #4 and #7 contain final results;
-       they are indicated by ``is_final: true``. Concatenating these
-       together generates the full transcript: "to be or not to be that
-       is the question".
-
-    -  The others contain interim ``results``. #3 and #6 contain two
-       interim ``results``: the first portion has a high stability and
-       is less likely to change; the second portion has a low stability
-       and is very likely to change. A UI designer might choose to show
-       only high stability ``results``.
-
-    -  The specific ``stability`` and ``confidence`` values shown above
-       are only for illustrative purposes. Actual values may vary.
-
-    -  In each response, only one of these fields will be set:
-       ``error``, ``speech_event_type``, or one or more (repeated)
-       ``results``.
-
-    Attributes:
-        error (google.rpc.status_pb2.Status):
-            If set, returns a [google.rpc.Status][google.rpc.Status]
-            message that specifies the error for the operation.
-        results (MutableSequence[google.cloud.speech_v1p1beta1.types.StreamingRecognitionResult]):
-            This repeated list contains zero or more results that
-            correspond to consecutive portions of the audio currently
-            being processed. It contains zero or one ``is_final=true``
-            result (the newly settled portion), followed by zero or more
-            ``is_final=false`` results (the interim results).
-        speech_event_type (google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse.SpeechEventType):
-            Indicates the type of speech event.
-        speech_event_time (google.protobuf.duration_pb2.Duration):
-            Time offset between the beginning of the
-            audio and event emission.
-        total_billed_time (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            stream. Set only if this is the last response in
-            the stream.
-        speech_adaptation_info (google.cloud.speech_v1p1beta1.types.SpeechAdaptationInfo):
-            Provides information on adaptation behavior
-            in response
-        request_id (int):
-            The ID associated with the request. This is a
-            unique ID specific only to the given request.
-    """
-
-    class SpeechEventType(proto.Enum):
-        r"""Indicates the type of speech event.
-
-        Values:
-            SPEECH_EVENT_UNSPECIFIED (0):
-                No speech event specified.
-            END_OF_SINGLE_UTTERANCE (1):
-                This event indicates that the server has detected the end of
-                the user's speech utterance and expects no additional
-                speech. Therefore, the server will not process additional
-                audio (although it may subsequently return additional
-                results). The client should stop sending additional audio
-                data, half-close the gRPC connection, and wait for any
-                additional results until the server closes the gRPC
-                connection. This event is only sent if ``single_utterance``
-                was set to ``true``, and is not used otherwise.
-            SPEECH_ACTIVITY_BEGIN (2):
-                This event indicates that the server has detected the
-                beginning of human voice activity in the stream. This event
-                can be returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-            SPEECH_ACTIVITY_END (3):
-                This event indicates that the server has detected the end of
-                human voice activity in the stream. This event can be
-                returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-            SPEECH_ACTIVITY_TIMEOUT (4):
-                This event indicates that the user-set
-                timeout for speech activity begin or end has
-                exceeded. Upon receiving this event, the client
-                is expected to send a half close. Further audio
-                will not be processed.
-        """
-        SPEECH_EVENT_UNSPECIFIED = 0
-        END_OF_SINGLE_UTTERANCE = 1
-        SPEECH_ACTIVITY_BEGIN = 2
-        SPEECH_ACTIVITY_END = 3
-        SPEECH_ACTIVITY_TIMEOUT = 4
-
-    error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=status_pb2.Status,
-    )
-    results: MutableSequence["StreamingRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="StreamingRecognitionResult",
-    )
-    speech_event_type: SpeechEventType = proto.Field(
-        proto.ENUM,
-        number=4,
-        enum=SpeechEventType,
-    )
-    speech_event_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=duration_pb2.Duration,
-    )
-    total_billed_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=duration_pb2.Duration,
-    )
-    speech_adaptation_info: "SpeechAdaptationInfo" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message="SpeechAdaptationInfo",
-    )
-    request_id: int = proto.Field(
-        proto.INT64,
-        number=10,
-    )
-
-
-class StreamingRecognitionResult(proto.Message):
-    r"""A streaming speech recognition result corresponding to a
-    portion of the audio that is currently being processed.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v1p1beta1.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition hypotheses (up to the
-            maximum specified in ``max_alternatives``). These
-            alternatives are ordered in terms of accuracy, with the top
-            (first) alternative being the most probable, as ranked by
-            the recognizer.
-        is_final (bool):
-            If ``false``, this ``StreamingRecognitionResult`` represents
-            an interim result that may change. If ``true``, this is the
-            final time the speech service will return this particular
-            ``StreamingRecognitionResult``, the recognizer will not
-            return any further hypotheses for this portion of the
-            transcript and corresponding audio.
-        stability (float):
-            An estimate of the likelihood that the recognizer will not
-            change its guess about this interim result. Values range
-            from 0.0 (completely unstable) to 1.0 (completely stable).
-            This field is only provided for interim results
-            (``is_final=false``). The default of 0.0 is a sentinel value
-            indicating ``stability`` was not set.
-        result_end_time (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For audio_channel_count = N, its output values
-            can range from '1' to 'N'.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    is_final: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    stability: float = proto.Field(
-        proto.FLOAT,
-        number=3,
-    )
-    result_end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-
-
-class SpeechRecognitionResult(proto.Message):
-    r"""A speech recognition result corresponding to a portion of the
-    audio.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v1p1beta1.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition hypotheses (up to the
-            maximum specified in ``max_alternatives``). These
-            alternatives are ordered in terms of accuracy, with the top
-            (first) alternative being the most probable, as ranked by
-            the recognizer.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For audio_channel_count = N, its output values
-            can range from '1' to 'N'.
-        result_end_time (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    result_end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class SpeechRecognitionAlternative(proto.Message):
-    r"""Alternative hypotheses (a.k.a. n-best list).
-
-    Attributes:
-        transcript (str):
-            Transcript text representing the words that
-            the user spoke. In languages that use spaces to
-            separate words, the transcript might have a
-            leading space if it isn't the first result. You
-            can concatenate each result to obtain the full
-            transcript without using a separator.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where ``is_final=true``. This field is not guaranteed
-            to be accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        words (MutableSequence[google.cloud.speech_v1p1beta1.types.WordInfo]):
-            A list of word-specific information for each recognized
-            word. Note: When ``enable_speaker_diarization`` is true, you
-            will see all the words from the beginning of the audio.
-    """
-
-    transcript: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=2,
-    )
-    words: MutableSequence["WordInfo"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="WordInfo",
-    )
-
-
-class WordInfo(proto.Message):
-    r"""Word-specific information for recognized words.
-
-    Attributes:
-        start_time (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the start of the spoken word. This field is
-            only set if ``enable_word_time_offsets=true`` and only in
-            the top hypothesis. This is an experimental feature and the
-            accuracy of the time offset can vary.
-        end_time (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the end of the spoken word. This field is
-            only set if ``enable_word_time_offsets=true`` and only in
-            the top hypothesis. This is an experimental feature and the
-            accuracy of the time offset can vary.
-        word (str):
-            The word corresponding to this set of
-            information.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where ``is_final=true``. This field is not guaranteed
-            to be accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        speaker_tag (int):
-            Output only. A distinct integer value is assigned for every
-            speaker within the audio. This field specifies which one of
-            those speakers was detected to have spoken this word. Value
-            ranges from '1' to diarization_speaker_count. speaker_tag is
-            set if enable_speaker_diarization = 'true' and only in the
-            top alternative.
-    """
-
-    start_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=duration_pb2.Duration,
-    )
-    end_time: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=duration_pb2.Duration,
-    )
-    word: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-    speaker_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-
-
-class SpeechAdaptationInfo(proto.Message):
-    r"""Information on speech adaptation use in results
-
-    Attributes:
-        adaptation_timeout (bool):
-            Whether there was a timeout when applying
-            speech adaptation. If true, adaptation had no
-            effect in the response transcript.
-        timeout_message (str):
-            If set, returns a message specifying which
-            part of the speech adaptation request timed out.
-    """
-
-    adaptation_timeout: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    timeout_message: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v1p1beta1/types/cloud_speech_adaptation.py b/google/cloud/speech_v1p1beta1/types/cloud_speech_adaptation.py
deleted file mode 100644
index 82a626e3..00000000
--- a/google/cloud/speech_v1p1beta1/types/cloud_speech_adaptation.py
+++ /dev/null
@@ -1,423 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.cloud.speech_v1p1beta1.types import resource
-from google.protobuf import field_mask_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1p1beta1",
-    manifest={
-        "CreatePhraseSetRequest",
-        "UpdatePhraseSetRequest",
-        "GetPhraseSetRequest",
-        "ListPhraseSetRequest",
-        "ListPhraseSetResponse",
-        "DeletePhraseSetRequest",
-        "CreateCustomClassRequest",
-        "UpdateCustomClassRequest",
-        "GetCustomClassRequest",
-        "ListCustomClassesRequest",
-        "ListCustomClassesResponse",
-        "DeleteCustomClassRequest",
-    },
-)
-
-
-class CreatePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``CreatePhraseSet`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent resource where this phrase set will be
-            created. Format:
-
-            ``projects/{project}/locations/{location}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        phrase_set_id (str):
-            Required. The ID to use for the phrase set,
-            which will become the final component of the
-            phrase set's resource name.
-
-            This value should restrict to letters, numbers,
-            and hyphens, with the first character a letter,
-            the last a letter or a number, and be 4-63
-            characters.
-        phrase_set (google.cloud.speech_v1p1beta1.types.PhraseSet):
-            Required. The phrase set to create.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    phrase_set_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    phrase_set: resource.PhraseSet = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resource.PhraseSet,
-    )
-
-
-class UpdatePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``UpdatePhraseSet`` method.
-
-    Attributes:
-        phrase_set (google.cloud.speech_v1p1beta1.types.PhraseSet):
-            Required. The phrase set to update.
-
-            The phrase set's ``name`` field is used to identify the set
-            to be updated. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated.
-    """
-
-    phrase_set: resource.PhraseSet = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=resource.PhraseSet,
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class GetPhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``GetPhraseSet`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the phrase set to retrieve. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListPhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``ListPhraseSet`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent, which owns this collection of phrase
-            set. Format:
-
-            ``projects/{project}/locations/{location}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        page_size (int):
-            The maximum number of phrase sets to return.
-            The service may return fewer than this value. If
-            unspecified, at most 50 phrase sets will be
-            returned. The maximum value is 1000; values
-            above 1000 will be coerced to 1000.
-        page_token (str):
-            A page token, received from a previous ``ListPhraseSet``
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            ``ListPhraseSet`` must match the call that provided the page
-            token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListPhraseSetResponse(proto.Message):
-    r"""Message returned to the client by the ``ListPhraseSet`` method.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v1p1beta1.types.PhraseSet]):
-            The phrase set.
-        next_page_token (str):
-            A token, which can be sent as ``page_token`` to retrieve the
-            next page. If this field is omitted, there are no subsequent
-            pages.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    phrase_sets: MutableSequence[resource.PhraseSet] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resource.PhraseSet,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class DeletePhraseSetRequest(proto.Message):
-    r"""Message sent by the client for the ``DeletePhraseSet`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the phrase set to delete. Format:
-
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class CreateCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``CreateCustomClass`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent resource where this custom class will
-            be created. Format:
-
-            ``projects/{project}/locations/{location}/customClasses``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        custom_class_id (str):
-            Required. The ID to use for the custom class,
-            which will become the final component of the
-            custom class' resource name.
-
-            This value should restrict to letters, numbers,
-            and hyphens, with the first character a letter,
-            the last a letter or a number, and be 4-63
-            characters.
-        custom_class (google.cloud.speech_v1p1beta1.types.CustomClass):
-            Required. The custom class to create.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    custom_class_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    custom_class: resource.CustomClass = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=resource.CustomClass,
-    )
-
-
-class UpdateCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``UpdateCustomClass`` method.
-
-    Attributes:
-        custom_class (google.cloud.speech_v1p1beta1.types.CustomClass):
-            Required. The custom class to update.
-
-            The custom class's ``name`` field is used to identify the
-            custom class to be updated. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated.
-    """
-
-    custom_class: resource.CustomClass = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=resource.CustomClass,
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class GetCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``GetCustomClass`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the custom class to retrieve. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class ListCustomClassesRequest(proto.Message):
-    r"""Message sent by the client for the ``ListCustomClasses`` method.
-
-    Attributes:
-        parent (str):
-            Required. The parent, which owns this collection of custom
-            classes. Format:
-
-            ``projects/{project}/locations/{location}/customClasses``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-        page_size (int):
-            The maximum number of custom classes to
-            return. The service may return fewer than this
-            value. If unspecified, at most 50 custom classes
-            will be returned. The maximum value is 1000;
-            values above 1000 will be coerced to 1000.
-        page_token (str):
-            A page token, received from a previous ``ListCustomClass``
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            ``ListCustomClass`` must match the call that provided the
-            page token.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class ListCustomClassesResponse(proto.Message):
-    r"""Message returned to the client by the ``ListCustomClasses`` method.
-
-    Attributes:
-        custom_classes (MutableSequence[google.cloud.speech_v1p1beta1.types.CustomClass]):
-            The custom classes.
-        next_page_token (str):
-            A token, which can be sent as ``page_token`` to retrieve the
-            next page. If this field is omitted, there are no subsequent
-            pages.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    custom_classes: MutableSequence[resource.CustomClass] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=resource.CustomClass,
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class DeleteCustomClassRequest(proto.Message):
-    r"""Message sent by the client for the ``DeleteCustomClass`` method.
-
-    Attributes:
-        name (str):
-            Required. The name of the custom class to delete. Format:
-
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-            Speech-to-Text supports three locations: ``global``, ``us``
-            (US North America), and ``eu`` (Europe). If you are calling
-            the ``speech.googleapis.com`` endpoint, use the ``global``
-            location. To specify a region, use a `regional
-            endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-            with matching ``us`` or ``eu`` location value.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v1p1beta1/types/resource.py b/google/cloud/speech_v1p1beta1/types/resource.py
deleted file mode 100644
index 046a4a54..00000000
--- a/google/cloud/speech_v1p1beta1/types/resource.py
+++ /dev/null
@@ -1,283 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v1p1beta1",
-    manifest={
-        "CustomClass",
-        "PhraseSet",
-        "SpeechAdaptation",
-        "TranscriptNormalization",
-    },
-)
-
-
-class CustomClass(proto.Message):
-    r"""A set of words or phrases that represents a common concept
-    likely to appear in your audio, for example a list of passenger
-    ship names. CustomClass items can be substituted into
-    placeholders that you set in PhraseSet phrases.
-
-    Attributes:
-        name (str):
-            The resource name of the custom class.
-        custom_class_id (str):
-            If this custom class is a resource, the custom_class_id is
-            the resource id of the CustomClass. Case sensitive.
-        items (MutableSequence[google.cloud.speech_v1p1beta1.types.CustomClass.ClassItem]):
-            A collection of class items.
-    """
-
-    class ClassItem(proto.Message):
-        r"""An item of the class.
-
-        Attributes:
-            value (str):
-                The class item's value.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    custom_class_id: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    items: MutableSequence[ClassItem] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message=ClassItem,
-    )
-
-
-class PhraseSet(proto.Message):
-    r"""Provides "hints" to the speech recognizer to favor specific
-    words and phrases in the results.
-
-    Attributes:
-        name (str):
-            The resource name of the phrase set.
-        phrases (MutableSequence[google.cloud.speech_v1p1beta1.types.PhraseSet.Phrase]):
-            A list of word and phrases.
-        boost (float):
-            Hint Boost. Positive value will increase the probability
-            that a specific phrase will be recognized over other similar
-            sounding phrases. The higher the boost, the higher the
-            chance of false positive recognition as well. Negative boost
-            values would correspond to anti-biasing. Anti-biasing is not
-            enabled, so negative boost will simply be ignored. Though
-            ``boost`` can accept a wide range of positive values, most
-            use cases are best served with values between 0 (exclusive)
-            and 20. We recommend using a binary search approach to
-            finding the optimal value for your use case as well as
-            adding phrases both with and without boost to your requests.
-    """
-
-    class Phrase(proto.Message):
-        r"""A phrases containing words and phrase "hints" so that the speech
-        recognition is more likely to recognize them. This can be used to
-        improve the accuracy for specific words and phrases, for example, if
-        specific commands are typically spoken by the user. This can also be
-        used to add additional words to the vocabulary of the recognizer.
-        See `usage
-        limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-        List items can also include pre-built or custom classes containing
-        groups of words that represent common concepts that occur in natural
-        language. For example, rather than providing a phrase hint for every
-        month of the year (e.g. "i was born in january", "i was born in
-        febuary", ...), use the pre-built ``$MONTH`` class improves the
-        likelihood of correctly transcribing audio that includes months
-        (e.g. "i was born in $month"). To refer to pre-built classes, use
-        the class' symbol prepended with ``$`` e.g. ``$MONTH``. To refer to
-        custom classes that were defined inline in the request, set the
-        class's ``custom_class_id`` to a string unique to all class
-        resources and inline classes. Then use the class' id wrapped in
-        $\ ``{...}`` e.g. "${my-months}". To refer to custom classes
-        resources, use the class' id wrapped in ``${}`` (e.g.
-        ``${my-months}``).
-
-        Speech-to-Text supports three locations: ``global``, ``us`` (US
-        North America), and ``eu`` (Europe). If you are calling the
-        ``speech.googleapis.com`` endpoint, use the ``global`` location. To
-        specify a region, use a `regional
-        endpoint <https://cloud.google.com/speech-to-text/docs/endpoints>`__
-        with matching ``us`` or ``eu`` location value.
-
-        Attributes:
-            value (str):
-                The phrase itself.
-            boost (float):
-                Hint Boost. Overrides the boost set at the phrase set level.
-                Positive value will increase the probability that a specific
-                phrase will be recognized over other similar sounding
-                phrases. The higher the boost, the higher the chance of
-                false positive recognition as well. Negative boost will
-                simply be ignored. Though ``boost`` can accept a wide range
-                of positive values, most use cases are best served with
-                values between 0 and 20. We recommend using a binary search
-                approach to finding the optimal value for your use case as
-                well as adding phrases both with and without boost to your
-                requests.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        boost: float = proto.Field(
-            proto.FLOAT,
-            number=2,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    phrases: MutableSequence[Phrase] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message=Phrase,
-    )
-    boost: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-
-
-class SpeechAdaptation(proto.Message):
-    r"""Speech adaptation configuration.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v1p1beta1.types.PhraseSet]):
-            A collection of phrase sets. To specify the hints inline,
-            leave the phrase set's ``name`` blank and fill in the rest
-            of its fields. Any phrase set can use any custom class.
-        phrase_set_references (MutableSequence[str]):
-            A collection of phrase set resource names to
-            use.
-        custom_classes (MutableSequence[google.cloud.speech_v1p1beta1.types.CustomClass]):
-            A collection of custom classes. To specify the classes
-            inline, leave the class' ``name`` blank and fill in the rest
-            of its fields, giving it a unique ``custom_class_id``. Refer
-            to the inline defined class in phrase hints by its
-            ``custom_class_id``.
-        abnf_grammar (google.cloud.speech_v1p1beta1.types.SpeechAdaptation.ABNFGrammar):
-            Augmented Backus-Naur form (ABNF) is a
-            standardized grammar notation comprised by a set
-            of derivation rules. See specifications:
-            https://www.w3.org/TR/speech-grammar
-    """
-
-    class ABNFGrammar(proto.Message):
-        r"""
-
-        Attributes:
-            abnf_strings (MutableSequence[str]):
-                All declarations and rules of an ABNF grammar
-                broken up into multiple strings that will end up
-                concatenated.
-        """
-
-        abnf_strings: MutableSequence[str] = proto.RepeatedField(
-            proto.STRING,
-            number=1,
-        )
-
-    phrase_sets: MutableSequence["PhraseSet"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="PhraseSet",
-    )
-    phrase_set_references: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=2,
-    )
-    custom_classes: MutableSequence["CustomClass"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="CustomClass",
-    )
-    abnf_grammar: ABNFGrammar = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=ABNFGrammar,
-    )
-
-
-class TranscriptNormalization(proto.Message):
-    r"""Transcription normalization configuration. Use transcription
-    normalization to automatically replace parts of the transcript
-    with phrases of your choosing. For StreamingRecognize, this
-    normalization only applies to stable partial transcripts
-    (stability > 0.8) and final transcripts.
-
-    Attributes:
-        entries (MutableSequence[google.cloud.speech_v1p1beta1.types.TranscriptNormalization.Entry]):
-            A list of replacement entries. We will perform replacement
-            with one entry at a time. For example, the second entry in
-            ["cat" => "dog", "mountain cat" => "mountain dog"] will
-            never be applied because we will always process the first
-            entry before it. At most 100 entries.
-    """
-
-    class Entry(proto.Message):
-        r"""A single replacement configuration.
-
-        Attributes:
-            search (str):
-                What to replace. Max length is 100
-                characters.
-            replace (str):
-                What to replace with. Max length is 100
-                characters.
-            case_sensitive (bool):
-                Whether the search is case sensitive.
-        """
-
-        search: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        replace: str = proto.Field(
-            proto.STRING,
-            number=2,
-        )
-        case_sensitive: bool = proto.Field(
-            proto.BOOL,
-            number=3,
-        )
-
-    entries: MutableSequence[Entry] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=Entry,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/speech_v2/__init__.py b/google/cloud/speech_v2/__init__.py
deleted file mode 100644
index 60999aab..00000000
--- a/google/cloud/speech_v2/__init__.py
+++ /dev/null
@@ -1,138 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from google.cloud.speech_v2 import gapic_version as package_version
-
-__version__ = package_version.__version__
-
-
-from .services.speech import SpeechClient
-from .services.speech import SpeechAsyncClient
-
-from .types.cloud_speech import AutoDetectDecodingConfig
-from .types.cloud_speech import BatchRecognizeFileMetadata
-from .types.cloud_speech import BatchRecognizeFileResult
-from .types.cloud_speech import BatchRecognizeMetadata
-from .types.cloud_speech import BatchRecognizeRequest
-from .types.cloud_speech import BatchRecognizeResponse
-from .types.cloud_speech import BatchRecognizeResults
-from .types.cloud_speech import BatchRecognizeTranscriptionMetadata
-from .types.cloud_speech import Config
-from .types.cloud_speech import CreateCustomClassRequest
-from .types.cloud_speech import CreatePhraseSetRequest
-from .types.cloud_speech import CreateRecognizerRequest
-from .types.cloud_speech import CustomClass
-from .types.cloud_speech import DeleteCustomClassRequest
-from .types.cloud_speech import DeletePhraseSetRequest
-from .types.cloud_speech import DeleteRecognizerRequest
-from .types.cloud_speech import ExplicitDecodingConfig
-from .types.cloud_speech import GcsOutputConfig
-from .types.cloud_speech import GetConfigRequest
-from .types.cloud_speech import GetCustomClassRequest
-from .types.cloud_speech import GetPhraseSetRequest
-from .types.cloud_speech import GetRecognizerRequest
-from .types.cloud_speech import InlineOutputConfig
-from .types.cloud_speech import ListCustomClassesRequest
-from .types.cloud_speech import ListCustomClassesResponse
-from .types.cloud_speech import ListPhraseSetsRequest
-from .types.cloud_speech import ListPhraseSetsResponse
-from .types.cloud_speech import ListRecognizersRequest
-from .types.cloud_speech import ListRecognizersResponse
-from .types.cloud_speech import OperationMetadata
-from .types.cloud_speech import PhraseSet
-from .types.cloud_speech import RecognitionConfig
-from .types.cloud_speech import RecognitionFeatures
-from .types.cloud_speech import RecognitionOutputConfig
-from .types.cloud_speech import RecognitionResponseMetadata
-from .types.cloud_speech import Recognizer
-from .types.cloud_speech import RecognizeRequest
-from .types.cloud_speech import RecognizeResponse
-from .types.cloud_speech import SpeakerDiarizationConfig
-from .types.cloud_speech import SpeechAdaptation
-from .types.cloud_speech import SpeechRecognitionAlternative
-from .types.cloud_speech import SpeechRecognitionResult
-from .types.cloud_speech import StreamingRecognitionConfig
-from .types.cloud_speech import StreamingRecognitionFeatures
-from .types.cloud_speech import StreamingRecognitionResult
-from .types.cloud_speech import StreamingRecognizeRequest
-from .types.cloud_speech import StreamingRecognizeResponse
-from .types.cloud_speech import UndeleteCustomClassRequest
-from .types.cloud_speech import UndeletePhraseSetRequest
-from .types.cloud_speech import UndeleteRecognizerRequest
-from .types.cloud_speech import UpdateConfigRequest
-from .types.cloud_speech import UpdateCustomClassRequest
-from .types.cloud_speech import UpdatePhraseSetRequest
-from .types.cloud_speech import UpdateRecognizerRequest
-from .types.cloud_speech import WordInfo
-
-__all__ = (
-    "SpeechAsyncClient",
-    "AutoDetectDecodingConfig",
-    "BatchRecognizeFileMetadata",
-    "BatchRecognizeFileResult",
-    "BatchRecognizeMetadata",
-    "BatchRecognizeRequest",
-    "BatchRecognizeResponse",
-    "BatchRecognizeResults",
-    "BatchRecognizeTranscriptionMetadata",
-    "Config",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "CreateRecognizerRequest",
-    "CustomClass",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "DeleteRecognizerRequest",
-    "ExplicitDecodingConfig",
-    "GcsOutputConfig",
-    "GetConfigRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "GetRecognizerRequest",
-    "InlineOutputConfig",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetsRequest",
-    "ListPhraseSetsResponse",
-    "ListRecognizersRequest",
-    "ListRecognizersResponse",
-    "OperationMetadata",
-    "PhraseSet",
-    "RecognitionConfig",
-    "RecognitionFeatures",
-    "RecognitionOutputConfig",
-    "RecognitionResponseMetadata",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "Recognizer",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptation",
-    "SpeechClient",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionFeatures",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "UndeleteCustomClassRequest",
-    "UndeletePhraseSetRequest",
-    "UndeleteRecognizerRequest",
-    "UpdateConfigRequest",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "UpdateRecognizerRequest",
-    "WordInfo",
-)
diff --git a/google/cloud/speech_v2/gapic_metadata.json b/google/cloud/speech_v2/gapic_metadata.json
deleted file mode 100644
index d835882c..00000000
--- a/google/cloud/speech_v2/gapic_metadata.json
+++ /dev/null
@@ -1,373 +0,0 @@
- {
-  "comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
-  "language": "python",
-  "libraryPackage": "google.cloud.speech_v2",
-  "protoPackage": "google.cloud.speech.v2",
-  "schema": "1.0",
-  "services": {
-    "Speech": {
-      "clients": {
-        "grpc": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "BatchRecognize": {
-              "methods": [
-                "batch_recognize"
-              ]
-            },
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "CreateRecognizer": {
-              "methods": [
-                "create_recognizer"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "DeleteRecognizer": {
-              "methods": [
-                "delete_recognizer"
-              ]
-            },
-            "GetConfig": {
-              "methods": [
-                "get_config"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "GetRecognizer": {
-              "methods": [
-                "get_recognizer"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSets": {
-              "methods": [
-                "list_phrase_sets"
-              ]
-            },
-            "ListRecognizers": {
-              "methods": [
-                "list_recognizers"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            },
-            "UndeleteCustomClass": {
-              "methods": [
-                "undelete_custom_class"
-              ]
-            },
-            "UndeletePhraseSet": {
-              "methods": [
-                "undelete_phrase_set"
-              ]
-            },
-            "UndeleteRecognizer": {
-              "methods": [
-                "undelete_recognizer"
-              ]
-            },
-            "UpdateConfig": {
-              "methods": [
-                "update_config"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            },
-            "UpdateRecognizer": {
-              "methods": [
-                "update_recognizer"
-              ]
-            }
-          }
-        },
-        "grpc-async": {
-          "libraryClient": "SpeechAsyncClient",
-          "rpcs": {
-            "BatchRecognize": {
-              "methods": [
-                "batch_recognize"
-              ]
-            },
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "CreateRecognizer": {
-              "methods": [
-                "create_recognizer"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "DeleteRecognizer": {
-              "methods": [
-                "delete_recognizer"
-              ]
-            },
-            "GetConfig": {
-              "methods": [
-                "get_config"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "GetRecognizer": {
-              "methods": [
-                "get_recognizer"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSets": {
-              "methods": [
-                "list_phrase_sets"
-              ]
-            },
-            "ListRecognizers": {
-              "methods": [
-                "list_recognizers"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            },
-            "UndeleteCustomClass": {
-              "methods": [
-                "undelete_custom_class"
-              ]
-            },
-            "UndeletePhraseSet": {
-              "methods": [
-                "undelete_phrase_set"
-              ]
-            },
-            "UndeleteRecognizer": {
-              "methods": [
-                "undelete_recognizer"
-              ]
-            },
-            "UpdateConfig": {
-              "methods": [
-                "update_config"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            },
-            "UpdateRecognizer": {
-              "methods": [
-                "update_recognizer"
-              ]
-            }
-          }
-        },
-        "rest": {
-          "libraryClient": "SpeechClient",
-          "rpcs": {
-            "BatchRecognize": {
-              "methods": [
-                "batch_recognize"
-              ]
-            },
-            "CreateCustomClass": {
-              "methods": [
-                "create_custom_class"
-              ]
-            },
-            "CreatePhraseSet": {
-              "methods": [
-                "create_phrase_set"
-              ]
-            },
-            "CreateRecognizer": {
-              "methods": [
-                "create_recognizer"
-              ]
-            },
-            "DeleteCustomClass": {
-              "methods": [
-                "delete_custom_class"
-              ]
-            },
-            "DeletePhraseSet": {
-              "methods": [
-                "delete_phrase_set"
-              ]
-            },
-            "DeleteRecognizer": {
-              "methods": [
-                "delete_recognizer"
-              ]
-            },
-            "GetConfig": {
-              "methods": [
-                "get_config"
-              ]
-            },
-            "GetCustomClass": {
-              "methods": [
-                "get_custom_class"
-              ]
-            },
-            "GetPhraseSet": {
-              "methods": [
-                "get_phrase_set"
-              ]
-            },
-            "GetRecognizer": {
-              "methods": [
-                "get_recognizer"
-              ]
-            },
-            "ListCustomClasses": {
-              "methods": [
-                "list_custom_classes"
-              ]
-            },
-            "ListPhraseSets": {
-              "methods": [
-                "list_phrase_sets"
-              ]
-            },
-            "ListRecognizers": {
-              "methods": [
-                "list_recognizers"
-              ]
-            },
-            "Recognize": {
-              "methods": [
-                "recognize"
-              ]
-            },
-            "StreamingRecognize": {
-              "methods": [
-                "streaming_recognize"
-              ]
-            },
-            "UndeleteCustomClass": {
-              "methods": [
-                "undelete_custom_class"
-              ]
-            },
-            "UndeletePhraseSet": {
-              "methods": [
-                "undelete_phrase_set"
-              ]
-            },
-            "UndeleteRecognizer": {
-              "methods": [
-                "undelete_recognizer"
-              ]
-            },
-            "UpdateConfig": {
-              "methods": [
-                "update_config"
-              ]
-            },
-            "UpdateCustomClass": {
-              "methods": [
-                "update_custom_class"
-              ]
-            },
-            "UpdatePhraseSet": {
-              "methods": [
-                "update_phrase_set"
-              ]
-            },
-            "UpdateRecognizer": {
-              "methods": [
-                "update_recognizer"
-              ]
-            }
-          }
-        }
-      }
-    }
-  }
-}
diff --git a/google/cloud/speech_v2/gapic_version.py b/google/cloud/speech_v2/gapic_version.py
deleted file mode 100644
index e71611fa..00000000
--- a/google/cloud/speech_v2/gapic_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-__version__ = "2.21.1"  # {x-release-please-version}
diff --git a/google/cloud/speech_v2/py.typed b/google/cloud/speech_v2/py.typed
deleted file mode 100644
index 02081c09..00000000
--- a/google/cloud/speech_v2/py.typed
+++ /dev/null
@@ -1,2 +0,0 @@
-# Marker file for PEP 561.
-# The google-cloud-speech package uses inline types.
diff --git a/google/cloud/speech_v2/services/__init__.py b/google/cloud/speech_v2/services/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/google/cloud/speech_v2/services/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/google/cloud/speech_v2/services/speech/__init__.py b/google/cloud/speech_v2/services/speech/__init__.py
deleted file mode 100644
index 400719f2..00000000
--- a/google/cloud/speech_v2/services/speech/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .client import SpeechClient
-from .async_client import SpeechAsyncClient
-
-__all__ = (
-    "SpeechClient",
-    "SpeechAsyncClient",
-)
diff --git a/google/cloud/speech_v2/services/speech/async_client.py b/google/cloud/speech_v2/services/speech/async_client.py
deleted file mode 100644
index a9967359..00000000
--- a/google/cloud/speech_v2/services/speech/async_client.py
+++ /dev/null
@@ -1,3530 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import functools
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    AsyncIterable,
-    Awaitable,
-    AsyncIterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
-
-from google.cloud.speech_v2 import gapic_version as package_version
-
-from google.api_core.client_options import ClientOptions
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.location import locations_pb2  # type: ignore
-from google.cloud.speech_v2.services.speech import pagers
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .client import SpeechClient
-
-
-class SpeechAsyncClient:
-    """Enables speech transcription and resource management."""
-
-    _client: SpeechClient
-
-    DEFAULT_ENDPOINT = SpeechClient.DEFAULT_ENDPOINT
-    DEFAULT_MTLS_ENDPOINT = SpeechClient.DEFAULT_MTLS_ENDPOINT
-
-    config_path = staticmethod(SpeechClient.config_path)
-    parse_config_path = staticmethod(SpeechClient.parse_config_path)
-    crypto_key_path = staticmethod(SpeechClient.crypto_key_path)
-    parse_crypto_key_path = staticmethod(SpeechClient.parse_crypto_key_path)
-    crypto_key_version_path = staticmethod(SpeechClient.crypto_key_version_path)
-    parse_crypto_key_version_path = staticmethod(
-        SpeechClient.parse_crypto_key_version_path
-    )
-    custom_class_path = staticmethod(SpeechClient.custom_class_path)
-    parse_custom_class_path = staticmethod(SpeechClient.parse_custom_class_path)
-    phrase_set_path = staticmethod(SpeechClient.phrase_set_path)
-    parse_phrase_set_path = staticmethod(SpeechClient.parse_phrase_set_path)
-    recognizer_path = staticmethod(SpeechClient.recognizer_path)
-    parse_recognizer_path = staticmethod(SpeechClient.parse_recognizer_path)
-    common_billing_account_path = staticmethod(SpeechClient.common_billing_account_path)
-    parse_common_billing_account_path = staticmethod(
-        SpeechClient.parse_common_billing_account_path
-    )
-    common_folder_path = staticmethod(SpeechClient.common_folder_path)
-    parse_common_folder_path = staticmethod(SpeechClient.parse_common_folder_path)
-    common_organization_path = staticmethod(SpeechClient.common_organization_path)
-    parse_common_organization_path = staticmethod(
-        SpeechClient.parse_common_organization_path
-    )
-    common_project_path = staticmethod(SpeechClient.common_project_path)
-    parse_common_project_path = staticmethod(SpeechClient.parse_common_project_path)
-    common_location_path = staticmethod(SpeechClient.common_location_path)
-    parse_common_location_path = staticmethod(SpeechClient.parse_common_location_path)
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_info.__func__(SpeechAsyncClient, info, *args, **kwargs)  # type: ignore
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechAsyncClient: The constructed client.
-        """
-        return SpeechClient.from_service_account_file.__func__(SpeechAsyncClient, filename, *args, **kwargs)  # type: ignore
-
-    from_service_account_json = from_service_account_file
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        return SpeechClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client instance.
-        """
-        return self._client.transport
-
-    get_transport_class = functools.partial(
-        type(SpeechClient).get_transport_class, type(SpeechClient)
-    )
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Union[str, SpeechTransport] = "grpc_asyncio",
-        client_options: Optional[ClientOptions] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, ~.SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (ClientOptions): Custom options for the client. It
-                won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        self._client = SpeechClient(
-            credentials=credentials,
-            transport=transport,
-            client_options=client_options,
-            client_info=client_info,
-        )
-
-    async def create_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.CreateRecognizerRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        recognizer: Optional[cloud_speech.Recognizer] = None,
-        recognizer_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Creates a [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_create_recognizer():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreateRecognizerRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.CreateRecognizerRequest, dict]]):
-                The request object. Request message for the
-                [CreateRecognizer][google.cloud.speech.v2.Speech.CreateRecognizer]
-                method.
-            parent (:class:`str`):
-                Required. The project and location where this Recognizer
-                will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            recognizer (:class:`google.cloud.speech_v2.types.Recognizer`):
-                Required. The Recognizer to create.
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            recognizer_id (:class:`str`):
-                The ID to use for the Recognizer, which will become the
-                final component of the Recognizer's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``recognizer_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, recognizer, recognizer_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.CreateRecognizerRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if recognizer is not None:
-            request.recognizer = recognizer
-        if recognizer_id is not None:
-            request.recognizer_id = recognizer_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_recognizer,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_recognizers(
-        self,
-        request: Optional[Union[cloud_speech.ListRecognizersRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListRecognizersAsyncPager:
-        r"""Lists Recognizers.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_list_recognizers():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListRecognizersRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_recognizers(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.ListRecognizersRequest, dict]]):
-                The request object. Request message for the
-                [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                method.
-            parent (:class:`str`):
-                Required. The project and location of Recognizers to
-                list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListRecognizersAsyncPager:
-                Response message for the
-                   [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.ListRecognizersRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_recognizers,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListRecognizersAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.GetRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Recognizer:
-        r"""Returns the requested
-        [Recognizer][google.cloud.speech.v2.Recognizer]. Fails with
-        [NOT_FOUND][google.rpc.Code.NOT_FOUND] if the requested
-        Recognizer doesn't exist.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_get_recognizer():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_recognizer(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.GetRecognizerRequest, dict]]):
-                The request object. Request message for the
-                [GetRecognizer][google.cloud.speech.v2.Speech.GetRecognizer]
-                method.
-            name (:class:`str`):
-                Required. The name of the Recognizer to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Recognizer:
-                A Recognizer message. Stores
-                recognition configuration and metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.GetRecognizerRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_recognizer,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.UpdateRecognizerRequest, dict]] = None,
-        *,
-        recognizer: Optional[cloud_speech.Recognizer] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Updates the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_update_recognizer():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateRecognizerRequest(
-                )
-
-                # Make the request
-                operation = client.update_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UpdateRecognizerRequest, dict]]):
-                The request object. Request message for the
-                [UpdateRecognizer][google.cloud.speech.v2.Speech.UpdateRecognizer]
-                method.
-            recognizer (:class:`google.cloud.speech_v2.types.Recognizer`):
-                Required. The Recognizer to update.
-
-                The Recognizer's ``name`` field is used to identify the
-                Recognizer to update. Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to update. If empty, all non-default
-                valued fields are considered for update. Use ``*`` to
-                update the entire Recognizer resource.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UpdateRecognizerRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if recognizer is not None:
-            request.recognizer = recognizer
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_recognizer,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer.name", request.recognizer.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.DeleteRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Deletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_delete_recognizer():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeleteRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.DeleteRecognizerRequest, dict]]):
-                The request object. Request message for the
-                [DeleteRecognizer][google.cloud.speech.v2.Speech.DeleteRecognizer]
-                method.
-            name (:class:`str`):
-                Required. The name of the Recognizer to delete. Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.DeleteRecognizerRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_recognizer,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def undelete_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.UndeleteRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Undeletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_undelete_recognizer():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeleteRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UndeleteRecognizerRequest, dict]]):
-                The request object. Request message for the
-                [UndeleteRecognizer][google.cloud.speech.v2.Speech.UndeleteRecognizer]
-                method.
-            name (:class:`str`):
-                Required. The name of the Recognizer to undelete.
-                Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UndeleteRecognizerRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.undelete_recognizer,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        recognizer: Optional[str] = None,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        config_mask: Optional[field_mask_pb2.FieldMask] = None,
-        content: Optional[bytes] = None,
-        uri: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous Speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_recognize():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.RecognizeRequest(
-                    content=b'content_blob',
-                    recognizer="recognizer_value",
-                )
-
-                # Make the request
-                response = await client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.RecognizeRequest, dict]]):
-                The request object. Request message for the
-                [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                method. Either ``content`` or ``uri`` must be supplied.
-                Supplying both or neither returns
-                [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
-                See `content
-                limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-            recognizer (:class:`str`):
-                Required. The name of the Recognizer to use during
-                recognition. The expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-                The {recognizer} segment may be set to ``_`` to use an
-                empty implicit Recognizer.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config (:class:`google.cloud.speech_v2.types.RecognitionConfig`):
-                Features and audio metadata to use for the Automatic
-                Speech Recognition. This field in combination with the
-                [config_mask][google.cloud.speech.v2.RecognizeRequest.config_mask]
-                field can be used to override parts of the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the Recognizer resource.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields in
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                that override the values in the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the recognizer during this recognition request. If no
-                mask is provided, all non-default valued fields in
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                override the values in the recognizer for this
-                recognition request. If a mask is provided, only the
-                fields listed in the mask override the config in the
-                recognizer for this recognition request. If a wildcard
-                (``*``) is provided,
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                completely overrides and replaces the config in the
-                recognizer for this recognition request.
-
-                This corresponds to the ``config_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            content (:class:`bytes`):
-                The audio data bytes encoded as specified in
-                [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-                As with all bytes fields, proto buffers use a pure
-                binary representation, whereas JSON representations use
-                base64.
-
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            uri (:class:`str`):
-                URI that points to a file that contains audio data bytes
-                as specified in
-                [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-                The file must not be compressed (for example, gzip).
-                Currently, only Google Cloud Storage URIs are supported,
-                which must be specified in the following format:
-                ``gs://bucket_name/object_name`` (other URI formats
-                return
-                [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]).
-                For more information, see `Request
-                URIs <https://cloud.google.com/storage/docs/reference-uris>`__.
-
-                This corresponds to the ``uri`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.RecognizeResponse:
-                Response message for the
-                   [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                   method.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, config, config_mask, content, uri])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.RecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if recognizer is not None:
-            request.recognizer = recognizer
-        if config is not None:
-            request.config = config
-        if config_mask is not None:
-            request.config_mask = config_mask
-        if content is not None:
-            request.content = content
-        if uri is not None:
-            request.uri = uri
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.recognize,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer", request.recognizer),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[
-            AsyncIterator[cloud_speech.StreamingRecognizeRequest]
-        ] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Awaitable[AsyncIterable[cloud_speech.StreamingRecognizeResponse]]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_streaming_recognize():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.StreamingRecognizeRequest(
-                    recognizer="recognizer_value",
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v2.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = await client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                async for response in stream:
-                    print(response)
-
-        Args:
-            requests (AsyncIterator[`google.cloud.speech_v2.types.StreamingRecognizeRequest`]):
-                The request object AsyncIterator. Request message for the
-                [StreamingRecognize][google.cloud.speech.v2.Speech.StreamingRecognize]
-                method. Multiple
-                [StreamingRecognizeRequest][google.cloud.speech.v2.StreamingRecognizeRequest]
-                messages are sent in one call.
-
-                If the [Recognizer][google.cloud.speech.v2.Recognizer]
-                referenced by
-                [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-                contains a fully specified request configuration then
-                the stream may only contain messages with only
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio]
-                set.
-
-                Otherwise the first message must contain a
-                [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-                and a
-                [streaming_config][google.cloud.speech.v2.StreamingRecognizeRequest.streaming_config]
-                message that together fully specify the request
-                configuration and must not contain
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio].
-                All subsequent messages must only have
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio]
-                set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            AsyncIterable[google.cloud.speech_v2.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio then
-                   no messages are streamed back to the client.
-
-                   Here are some examples of StreamingRecognizeResponses
-                   that might be returned while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.streaming_recognize,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def batch_recognize(
-        self,
-        request: Optional[Union[cloud_speech.BatchRecognizeRequest, dict]] = None,
-        *,
-        recognizer: Optional[str] = None,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        config_mask: Optional[field_mask_pb2.FieldMask] = None,
-        files: Optional[
-            MutableSequence[cloud_speech.BatchRecognizeFileMetadata]
-        ] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Performs batch asynchronous speech recognition: send
-        a request with N audio files and receive a long running
-        operation that can be polled to see when the
-        transcriptions are finished.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_batch_recognize():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.BatchRecognizeRequest(
-                    recognizer="recognizer_value",
-                )
-
-                # Make the request
-                operation = client.batch_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.BatchRecognizeRequest, dict]]):
-                The request object. Request message for the
-                [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-                method.
-            recognizer (:class:`str`):
-                Required. The name of the Recognizer to use during
-                recognition. The expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-                The {recognizer} segment may be set to ``_`` to use an
-                empty implicit Recognizer.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config (:class:`google.cloud.speech_v2.types.RecognitionConfig`):
-                Features and audio metadata to use for the Automatic
-                Speech Recognition. This field in combination with the
-                [config_mask][google.cloud.speech.v2.BatchRecognizeRequest.config_mask]
-                field can be used to override parts of the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the Recognizer resource.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields in
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                that override the values in the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the recognizer during this recognition request. If no
-                mask is provided, all given fields in
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                override the values in the recognizer for this
-                recognition request. If a mask is provided, only the
-                fields listed in the mask override the config in the
-                recognizer for this recognition request. If a wildcard
-                (``*``) is provided,
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                completely overrides and replaces the config in the
-                recognizer for this recognition request.
-
-                This corresponds to the ``config_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            files (:class:`MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]`):
-                Audio files with file metadata for
-                ASR. The maximum number of files allowed
-                to be specified is 5.
-
-                This corresponds to the ``files`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.BatchRecognizeResponse` Response message for
-                   [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-                   that is packaged into a longrunning
-                   [Operation][google.longrunning.Operation].
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, config, config_mask, files])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.BatchRecognizeRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if recognizer is not None:
-            request.recognizer = recognizer
-        if config is not None:
-            request.config = config
-        if config_mask is not None:
-            request.config_mask = config_mask
-        if files:
-            request.files.extend(files)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.batch_recognize,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer", request.recognizer),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.BatchRecognizeResponse,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_config(
-        self,
-        request: Optional[Union[cloud_speech.GetConfigRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Config:
-        r"""Returns the requested [Config][google.cloud.speech.v2.Config].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_get_config():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetConfigRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_config(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.GetConfigRequest, dict]]):
-                The request object. Request message for the
-                [GetConfig][google.cloud.speech.v2.Speech.GetConfig]
-                method.
-            name (:class:`str`):
-                Required. The name of the config to retrieve. There is
-                exactly one config resource per project per location.
-                The expected format is
-                ``projects/{project}/locations/{location}/config``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Config:
-                Message representing the config for the Speech-to-Text API. This includes an
-                   optional [KMS
-                   key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys)
-                   with which incoming data will be encrypted.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.GetConfigRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_config,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_config(
-        self,
-        request: Optional[Union[cloud_speech.UpdateConfigRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.Config] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Config:
-        r"""Updates the [Config][google.cloud.speech.v2.Config].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_update_config():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateConfigRequest(
-                )
-
-                # Make the request
-                response = await client.update_config(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UpdateConfigRequest, dict]]):
-                The request object. Request message for the
-                [UpdateConfig][google.cloud.speech.v2.Speech.UpdateConfig]
-                method.
-            config (:class:`google.cloud.speech_v2.types.Config`):
-                Required. The config to update.
-
-                The config's ``name`` field is used to identify the
-                config to be updated. The expected format is
-                ``projects/{project}/locations/{location}/config``.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Config:
-                Message representing the config for the Speech-to-Text API. This includes an
-                   optional [KMS
-                   key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys)
-                   with which incoming data will be encrypted.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UpdateConfigRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if config is not None:
-            request.config = config
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_config,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("config.name", request.config.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.CreateCustomClassRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[cloud_speech.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Creates a [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_create_custom_class():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreateCustomClassRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.CreateCustomClassRequest, dict]]):
-                The request object. Request message for the
-                [CreateCustomClass][google.cloud.speech.v2.Speech.CreateCustomClass]
-                method.
-            parent (:class:`str`):
-                Required. The project and location where this
-                CustomClass will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (:class:`google.cloud.speech_v2.types.CustomClass`):
-                Required. The CustomClass to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (:class:`str`):
-                The ID to use for the CustomClass, which will become the
-                final component of the CustomClass's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.CreateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if custom_class_id is not None:
-            request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_custom_classes(
-        self,
-        request: Optional[Union[cloud_speech.ListCustomClassesRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesAsyncPager:
-        r"""Lists CustomClasses.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_list_custom_classes():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.ListCustomClassesRequest, dict]]):
-                The request object. Request message for the
-                [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                method.
-            parent (:class:`str`):
-                Required. The project and location of CustomClass
-                resources to list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListCustomClassesAsyncPager:
-                Response message for the
-                   [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.ListCustomClassesRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_custom_classes,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListCustomClassesAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.GetCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.CustomClass:
-        r"""Returns the requested
-        [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_get_custom_class():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.GetCustomClassRequest, dict]]):
-                The request object. Request message for the
-                [GetCustomClass][google.cloud.speech.v2.Speech.GetCustomClass]
-                method.
-            name (:class:`str`):
-                Required. The name of the CustomClass to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.CustomClass:
-                CustomClass for biasing in speech
-                recognition. Used to define a set of
-                words or phrases that represents a
-                common concept or theme likely to appear
-                in your audio, for example a list of
-                passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.GetCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.UpdateCustomClassRequest, dict]] = None,
-        *,
-        custom_class: Optional[cloud_speech.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Updates the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_update_custom_class():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                operation = client.update_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UpdateCustomClassRequest, dict]]):
-                The request object. Request message for the
-                [UpdateCustomClass][google.cloud.speech.v2.Speech.UpdateCustomClass]
-                method.
-            custom_class (:class:`google.cloud.speech_v2.types.CustomClass`):
-                Required. The CustomClass to update.
-
-                The CustomClass's ``name`` field is used to identify the
-                CustomClass to update. Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to be updated. If
-                empty, all fields are considered for
-                update.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UpdateCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if custom_class is not None:
-            request.custom_class = custom_class
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.DeleteCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Deletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_delete_custom_class():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.DeleteCustomClassRequest, dict]]):
-                The request object. Request message for the
-                [DeleteCustomClass][google.cloud.speech.v2.Speech.DeleteCustomClass]
-                method.
-            name (:class:`str`):
-                Required. The name of the CustomClass to delete. Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.DeleteCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def undelete_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.UndeleteCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Undeletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_undelete_custom_class():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UndeleteCustomClassRequest, dict]]):
-                The request object. Request message for the
-                [UndeleteCustomClass][google.cloud.speech.v2.Speech.UndeleteCustomClass]
-                method.
-            name (:class:`str`):
-                Required. The name of the CustomClass to undelete.
-                Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UndeleteCustomClassRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.undelete_custom_class,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def create_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.CreatePhraseSetRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[cloud_speech.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Creates a [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_create_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreatePhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.CreatePhraseSetRequest, dict]]):
-                The request object. Request message for the
-                [CreatePhraseSet][google.cloud.speech.v2.Speech.CreatePhraseSet]
-                method.
-            parent (:class:`str`):
-                Required. The project and location where this PhraseSet
-                will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (:class:`google.cloud.speech_v2.types.PhraseSet`):
-                Required. The PhraseSet to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (:class:`str`):
-                The ID to use for the PhraseSet, which will become the
-                final component of the PhraseSet's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.CreatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if phrase_set_id is not None:
-            request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.create_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_phrase_sets(
-        self,
-        request: Optional[Union[cloud_speech.ListPhraseSetsRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetsAsyncPager:
-        r"""Lists PhraseSets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_list_phrase_sets():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListPhraseSetsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_sets(request=request)
-
-                # Handle the response
-                async for response in page_result:
-                    print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.ListPhraseSetsRequest, dict]]):
-                The request object. Request message for the
-                [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                method.
-            parent (:class:`str`):
-                Required. The project and location of PhraseSet
-                resources to list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListPhraseSetsAsyncPager:
-                Response message for the
-                   [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.ListPhraseSetsRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if parent is not None:
-            request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.list_phrase_sets,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__aiter__` convenience method.
-        response = pagers.ListPhraseSetsAsyncPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.GetPhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.PhraseSet:
-        r"""Returns the requested
-        [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_get_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = await client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.GetPhraseSetRequest, dict]]):
-                The request object. Request message for the
-                [GetPhraseSet][google.cloud.speech.v2.Speech.GetPhraseSet]
-                method.
-            name (:class:`str`):
-                Required. The name of the PhraseSet to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.PhraseSet:
-                PhraseSet for biasing in speech
-                recognition. A PhraseSet is used to
-                provide "hints" to the speech recognizer
-                to favor specific words and phrases in
-                the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.GetPhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.get_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def update_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.UpdatePhraseSetRequest, dict]] = None,
-        *,
-        phrase_set: Optional[cloud_speech.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Updates the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_update_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                operation = client.update_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UpdatePhraseSetRequest, dict]]):
-                The request object. Request message for the
-                [UpdatePhraseSet][google.cloud.speech.v2.Speech.UpdatePhraseSet]
-                method.
-            phrase_set (:class:`google.cloud.speech_v2.types.PhraseSet`):
-                Required. The PhraseSet to update.
-
-                The PhraseSet's ``name`` field is used to identify the
-                PhraseSet to update. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
-                The list of fields to update. If empty, all non-default
-                valued fields are considered for update. Use ``*`` to
-                update the entire PhraseSet resource.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UpdatePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if phrase_set is not None:
-            request.phrase_set = phrase_set
-        if update_mask is not None:
-            request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.update_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.DeletePhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Deletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.DeletePhraseSetRequest, dict]]):
-                The request object. Request message for the
-                [DeletePhraseSet][google.cloud.speech.v2.Speech.DeletePhraseSet]
-                method.
-            name (:class:`str`):
-                Required. The name of the PhraseSet to delete. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.DeletePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.delete_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def undelete_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.UndeletePhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation_async.AsyncOperation:
-        r"""Undeletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            async def sample_undelete_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechAsyncClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = (await operation).result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Optional[Union[google.cloud.speech_v2.types.UndeletePhraseSetRequest, dict]]):
-                The request object. Request message for the
-                [UndeletePhraseSet][google.cloud.speech.v2.Speech.UndeletePhraseSet]
-                method.
-            name (:class:`str`):
-                Required. The name of the PhraseSet to undelete. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation_async.AsyncOperation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        request = cloud_speech.UndeletePhraseSetRequest(request)
-
-        # If we have keyword arguments corresponding to fields on the
-        # request, apply these.
-        if name is not None:
-            request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method_async.wrap_method(
-            self._client._transport.undelete_phrase_set,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation_async.from_gapic(
-            response,
-            self._client._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.delete_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.cancel_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    async def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.get_location,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._client._transport.list_locations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = await rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    async def __aenter__(self) -> "SpeechAsyncClient":
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.transport.close()
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechAsyncClient",)
diff --git a/google/cloud/speech_v2/services/speech/client.py b/google/cloud/speech_v2/services/speech/client.py
deleted file mode 100644
index 0697c100..00000000
--- a/google/cloud/speech_v2/services/speech/client.py
+++ /dev/null
@@ -1,3870 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-import os
-import re
-from typing import (
-    Dict,
-    Mapping,
-    MutableMapping,
-    MutableSequence,
-    Optional,
-    Iterable,
-    Iterator,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-    cast,
-)
-
-from google.cloud.speech_v2 import gapic_version as package_version
-
-from google.api_core import client_options as client_options_lib
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport import mtls  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth.exceptions import MutualTLSChannelError  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-from google.api_core import operation  # type: ignore
-from google.api_core import operation_async  # type: ignore
-from google.cloud.location import locations_pb2  # type: ignore
-from google.cloud.speech_v2.services.speech import pagers
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .transports.grpc import SpeechGrpcTransport
-from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .transports.rest import SpeechRestTransport
-
-
-class SpeechClientMeta(type):
-    """Metaclass for the Speech client.
-
-    This provides class-level methods for building and retrieving
-    support objects (e.g. transport) without polluting the client instance
-    objects.
-    """
-
-    _transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-    _transport_registry["grpc"] = SpeechGrpcTransport
-    _transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-    _transport_registry["rest"] = SpeechRestTransport
-
-    def get_transport_class(
-        cls,
-        label: Optional[str] = None,
-    ) -> Type[SpeechTransport]:
-        """Returns an appropriate transport class.
-
-        Args:
-            label: The name of the desired transport. If none is
-                provided, then the first transport in the registry is used.
-
-        Returns:
-            The transport class to use.
-        """
-        # If a specific transport is requested, return that one.
-        if label:
-            return cls._transport_registry[label]
-
-        # No transport is requested; return the default (that is, the first one
-        # in the dictionary).
-        return next(iter(cls._transport_registry.values()))
-
-
-class SpeechClient(metaclass=SpeechClientMeta):
-    """Enables speech transcription and resource management."""
-
-    @staticmethod
-    def _get_default_mtls_endpoint(api_endpoint):
-        """Converts api endpoint to mTLS endpoint.
-
-        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
-        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
-        Args:
-            api_endpoint (Optional[str]): the api endpoint to convert.
-        Returns:
-            str: converted mTLS api endpoint.
-        """
-        if not api_endpoint:
-            return api_endpoint
-
-        mtls_endpoint_re = re.compile(
-            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
-        )
-
-        m = mtls_endpoint_re.match(api_endpoint)
-        name, mtls, sandbox, googledomain = m.groups()
-        if mtls or not googledomain:
-            return api_endpoint
-
-        if sandbox:
-            return api_endpoint.replace(
-                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
-            )
-
-        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
-
-    DEFAULT_ENDPOINT = "speech.googleapis.com"
-    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
-        DEFAULT_ENDPOINT
-    )
-
-    @classmethod
-    def from_service_account_info(cls, info: dict, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            info.
-
-        Args:
-            info (dict): The service account private key info.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_info(info)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    @classmethod
-    def from_service_account_file(cls, filename: str, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-            file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            SpeechClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    @property
-    def transport(self) -> SpeechTransport:
-        """Returns the transport used by the client instance.
-
-        Returns:
-            SpeechTransport: The transport used by the client
-                instance.
-        """
-        return self._transport
-
-    @staticmethod
-    def config_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified config string."""
-        return "projects/{project}/locations/{location}/config".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_config_path(path: str) -> Dict[str, str]:
-        """Parses a config path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/config$", path
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def crypto_key_path(
-        project: str,
-        location: str,
-        key_ring: str,
-        crypto_key: str,
-    ) -> str:
-        """Returns a fully-qualified crypto_key string."""
-        return "projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}".format(
-            project=project,
-            location=location,
-            key_ring=key_ring,
-            crypto_key=crypto_key,
-        )
-
-    @staticmethod
-    def parse_crypto_key_path(path: str) -> Dict[str, str]:
-        """Parses a crypto_key path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/keyRings/(?P<key_ring>.+?)/cryptoKeys/(?P<crypto_key>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def crypto_key_version_path(
-        project: str,
-        location: str,
-        key_ring: str,
-        crypto_key: str,
-        crypto_key_version: str,
-    ) -> str:
-        """Returns a fully-qualified crypto_key_version string."""
-        return "projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}".format(
-            project=project,
-            location=location,
-            key_ring=key_ring,
-            crypto_key=crypto_key,
-            crypto_key_version=crypto_key_version,
-        )
-
-    @staticmethod
-    def parse_crypto_key_version_path(path: str) -> Dict[str, str]:
-        """Parses a crypto_key_version path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/keyRings/(?P<key_ring>.+?)/cryptoKeys/(?P<crypto_key>.+?)/cryptoKeyVersions/(?P<crypto_key_version>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def custom_class_path(
-        project: str,
-        location: str,
-        custom_class: str,
-    ) -> str:
-        """Returns a fully-qualified custom_class string."""
-        return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-
-    @staticmethod
-    def parse_custom_class_path(path: str) -> Dict[str, str]:
-        """Parses a custom_class path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def phrase_set_path(
-        project: str,
-        location: str,
-        phrase_set: str,
-    ) -> str:
-        """Returns a fully-qualified phrase_set string."""
-        return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-            project=project,
-            location=location,
-            phrase_set=phrase_set,
-        )
-
-    @staticmethod
-    def parse_phrase_set_path(path: str) -> Dict[str, str]:
-        """Parses a phrase_set path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def recognizer_path(
-        project: str,
-        location: str,
-        recognizer: str,
-    ) -> str:
-        """Returns a fully-qualified recognizer string."""
-        return (
-            "projects/{project}/locations/{location}/recognizers/{recognizer}".format(
-                project=project,
-                location=location,
-                recognizer=recognizer,
-            )
-        )
-
-    @staticmethod
-    def parse_recognizer_path(path: str) -> Dict[str, str]:
-        """Parses a recognizer path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/recognizers/(?P<recognizer>.+?)$",
-            path,
-        )
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_billing_account_path(
-        billing_account: str,
-    ) -> str:
-        """Returns a fully-qualified billing_account string."""
-        return "billingAccounts/{billing_account}".format(
-            billing_account=billing_account,
-        )
-
-    @staticmethod
-    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
-        """Parse a billing_account path into its component segments."""
-        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_folder_path(
-        folder: str,
-    ) -> str:
-        """Returns a fully-qualified folder string."""
-        return "folders/{folder}".format(
-            folder=folder,
-        )
-
-    @staticmethod
-    def parse_common_folder_path(path: str) -> Dict[str, str]:
-        """Parse a folder path into its component segments."""
-        m = re.match(r"^folders/(?P<folder>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_organization_path(
-        organization: str,
-    ) -> str:
-        """Returns a fully-qualified organization string."""
-        return "organizations/{organization}".format(
-            organization=organization,
-        )
-
-    @staticmethod
-    def parse_common_organization_path(path: str) -> Dict[str, str]:
-        """Parse a organization path into its component segments."""
-        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_project_path(
-        project: str,
-    ) -> str:
-        """Returns a fully-qualified project string."""
-        return "projects/{project}".format(
-            project=project,
-        )
-
-    @staticmethod
-    def parse_common_project_path(path: str) -> Dict[str, str]:
-        """Parse a project path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @staticmethod
-    def common_location_path(
-        project: str,
-        location: str,
-    ) -> str:
-        """Returns a fully-qualified location string."""
-        return "projects/{project}/locations/{location}".format(
-            project=project,
-            location=location,
-        )
-
-    @staticmethod
-    def parse_common_location_path(path: str) -> Dict[str, str]:
-        """Parse a location path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
-        return m.groupdict() if m else {}
-
-    @classmethod
-    def get_mtls_endpoint_and_cert_source(
-        cls, client_options: Optional[client_options_lib.ClientOptions] = None
-    ):
-        """Return the API endpoint and client cert source for mutual TLS.
-
-        The client cert source is determined in the following order:
-        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
-        client cert source is None.
-        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
-        default client cert source exists, use the default one; otherwise the client cert
-        source is None.
-
-        The API endpoint is determined in the following order:
-        (1) if `client_options.api_endpoint` if provided, use the provided one.
-        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
-        default mTLS endpoint; if the environment variable is "never", use the default API
-        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
-        use the default API endpoint.
-
-        More details can be found at https://google.aip.dev/auth/4114.
-
-        Args:
-            client_options (google.api_core.client_options.ClientOptions): Custom options for the
-                client. Only the `api_endpoint` and `client_cert_source` properties may be used
-                in this method.
-
-        Returns:
-            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
-                client cert source to use.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
-        """
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
-        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
-        if use_client_cert not in ("true", "false"):
-            raise ValueError(
-                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
-            )
-        if use_mtls_endpoint not in ("auto", "never", "always"):
-            raise MutualTLSChannelError(
-                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
-            )
-
-        # Figure out the client cert source to use.
-        client_cert_source = None
-        if use_client_cert == "true":
-            if client_options.client_cert_source:
-                client_cert_source = client_options.client_cert_source
-            elif mtls.has_default_client_cert_source():
-                client_cert_source = mtls.default_client_cert_source()
-
-        # Figure out which api endpoint to use.
-        if client_options.api_endpoint is not None:
-            api_endpoint = client_options.api_endpoint
-        elif use_mtls_endpoint == "always" or (
-            use_mtls_endpoint == "auto" and client_cert_source
-        ):
-            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
-        else:
-            api_endpoint = cls.DEFAULT_ENDPOINT
-
-        return api_endpoint, client_cert_source
-
-    def __init__(
-        self,
-        *,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        transport: Optional[Union[str, SpeechTransport]] = None,
-        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-    ) -> None:
-        """Instantiates the speech client.
-
-        Args:
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            transport (Union[str, SpeechTransport]): The
-                transport to use. If set to None, a transport is chosen
-                automatically.
-            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
-                client. It won't take effect if a ``transport`` instance is provided.
-                (1) The ``api_endpoint`` property can be used to override the
-                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
-                environment variable can also be used to override the endpoint:
-                "always" (always use the default mTLS endpoint), "never" (always
-                use the default regular endpoint) and "auto" (auto switch to the
-                default mTLS endpoint if client certificate is present, this is
-                the default value). However, the ``api_endpoint`` property takes
-                precedence if provided.
-                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
-                is "true", then the ``client_cert_source`` property can be used
-                to provide client certificate for mutual TLS transport. If
-                not provided, the default SSL client certificate will be used if
-                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
-                set, no client certificate will be used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-
-        Raises:
-            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-                creation failed for any reason.
-        """
-        if isinstance(client_options, dict):
-            client_options = client_options_lib.from_dict(client_options)
-        if client_options is None:
-            client_options = client_options_lib.ClientOptions()
-        client_options = cast(client_options_lib.ClientOptions, client_options)
-
-        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
-            client_options
-        )
-
-        api_key_value = getattr(client_options, "api_key", None)
-        if api_key_value and credentials:
-            raise ValueError(
-                "client_options.api_key and credentials are mutually exclusive"
-            )
-
-        # Save or instantiate the transport.
-        # Ordinarily, we provide the transport, but allowing a custom transport
-        # instance provides an extensibility point for unusual situations.
-        if isinstance(transport, SpeechTransport):
-            # transport is a SpeechTransport instance.
-            if credentials or client_options.credentials_file or api_key_value:
-                raise ValueError(
-                    "When providing a transport instance, "
-                    "provide its credentials directly."
-                )
-            if client_options.scopes:
-                raise ValueError(
-                    "When providing a transport instance, provide its scopes "
-                    "directly."
-                )
-            self._transport = transport
-        else:
-            import google.auth._default  # type: ignore
-
-            if api_key_value and hasattr(
-                google.auth._default, "get_api_key_credentials"
-            ):
-                credentials = google.auth._default.get_api_key_credentials(
-                    api_key_value
-                )
-
-            Transport = type(self).get_transport_class(transport)
-            self._transport = Transport(
-                credentials=credentials,
-                credentials_file=client_options.credentials_file,
-                host=api_endpoint,
-                scopes=client_options.scopes,
-                client_cert_source_for_mtls=client_cert_source_func,
-                quota_project_id=client_options.quota_project_id,
-                client_info=client_info,
-                always_use_jwt_access=True,
-                api_audience=client_options.api_audience,
-            )
-
-    def create_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.CreateRecognizerRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        recognizer: Optional[cloud_speech.Recognizer] = None,
-        recognizer_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Creates a [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_create_recognizer():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreateRecognizerRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.CreateRecognizerRequest, dict]):
-                The request object. Request message for the
-                [CreateRecognizer][google.cloud.speech.v2.Speech.CreateRecognizer]
-                method.
-            parent (str):
-                Required. The project and location where this Recognizer
-                will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            recognizer (google.cloud.speech_v2.types.Recognizer):
-                Required. The Recognizer to create.
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            recognizer_id (str):
-                The ID to use for the Recognizer, which will become the
-                final component of the Recognizer's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``recognizer_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, recognizer, recognizer_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.CreateRecognizerRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.CreateRecognizerRequest):
-            request = cloud_speech.CreateRecognizerRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if recognizer is not None:
-                request.recognizer = recognizer
-            if recognizer_id is not None:
-                request.recognizer_id = recognizer_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_recognizer]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_recognizers(
-        self,
-        request: Optional[Union[cloud_speech.ListRecognizersRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListRecognizersPager:
-        r"""Lists Recognizers.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_list_recognizers():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListRecognizersRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_recognizers(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.ListRecognizersRequest, dict]):
-                The request object. Request message for the
-                [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                method.
-            parent (str):
-                Required. The project and location of Recognizers to
-                list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListRecognizersPager:
-                Response message for the
-                   [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.ListRecognizersRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.ListRecognizersRequest):
-            request = cloud_speech.ListRecognizersRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_recognizers]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListRecognizersPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.GetRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Recognizer:
-        r"""Returns the requested
-        [Recognizer][google.cloud.speech.v2.Recognizer]. Fails with
-        [NOT_FOUND][google.rpc.Code.NOT_FOUND] if the requested
-        Recognizer doesn't exist.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_get_recognizer():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_recognizer(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.GetRecognizerRequest, dict]):
-                The request object. Request message for the
-                [GetRecognizer][google.cloud.speech.v2.Speech.GetRecognizer]
-                method.
-            name (str):
-                Required. The name of the Recognizer to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Recognizer:
-                A Recognizer message. Stores
-                recognition configuration and metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.GetRecognizerRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.GetRecognizerRequest):
-            request = cloud_speech.GetRecognizerRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_recognizer]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.UpdateRecognizerRequest, dict]] = None,
-        *,
-        recognizer: Optional[cloud_speech.Recognizer] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Updates the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_update_recognizer():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateRecognizerRequest(
-                )
-
-                # Make the request
-                operation = client.update_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UpdateRecognizerRequest, dict]):
-                The request object. Request message for the
-                [UpdateRecognizer][google.cloud.speech.v2.Speech.UpdateRecognizer]
-                method.
-            recognizer (google.cloud.speech_v2.types.Recognizer):
-                Required. The Recognizer to update.
-
-                The Recognizer's ``name`` field is used to identify the
-                Recognizer to update. Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to update. If empty, all non-default
-                valued fields are considered for update. Use ``*`` to
-                update the entire Recognizer resource.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UpdateRecognizerRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UpdateRecognizerRequest):
-            request = cloud_speech.UpdateRecognizerRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if recognizer is not None:
-                request.recognizer = recognizer
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_recognizer]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer.name", request.recognizer.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.DeleteRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Deletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_delete_recognizer():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeleteRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.DeleteRecognizerRequest, dict]):
-                The request object. Request message for the
-                [DeleteRecognizer][google.cloud.speech.v2.Speech.DeleteRecognizer]
-                method.
-            name (str):
-                Required. The name of the Recognizer to delete. Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.DeleteRecognizerRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.DeleteRecognizerRequest):
-            request = cloud_speech.DeleteRecognizerRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_recognizer]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def undelete_recognizer(
-        self,
-        request: Optional[Union[cloud_speech.UndeleteRecognizerRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Undeletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_undelete_recognizer():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeleteRecognizerRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_recognizer(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UndeleteRecognizerRequest, dict]):
-                The request object. Request message for the
-                [UndeleteRecognizer][google.cloud.speech.v2.Speech.UndeleteRecognizer]
-                method.
-            name (str):
-                Required. The name of the Recognizer to undelete.
-                Format:
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be
-                :class:`google.cloud.speech_v2.types.Recognizer` A
-                Recognizer message. Stores recognition configuration and
-                metadata.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UndeleteRecognizerRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UndeleteRecognizerRequest):
-            request = cloud_speech.UndeleteRecognizerRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.undelete_recognizer]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.Recognizer,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def recognize(
-        self,
-        request: Optional[Union[cloud_speech.RecognizeRequest, dict]] = None,
-        *,
-        recognizer: Optional[str] = None,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        config_mask: Optional[field_mask_pb2.FieldMask] = None,
-        content: Optional[bytes] = None,
-        uri: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.RecognizeResponse:
-        r"""Performs synchronous Speech recognition: receive
-        results after all audio has been sent and processed.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_recognize():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.RecognizeRequest(
-                    content=b'content_blob',
-                    recognizer="recognizer_value",
-                )
-
-                # Make the request
-                response = client.recognize(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.RecognizeRequest, dict]):
-                The request object. Request message for the
-                [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                method. Either ``content`` or ``uri`` must be supplied.
-                Supplying both or neither returns
-                [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
-                See `content
-                limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-            recognizer (str):
-                Required. The name of the Recognizer to use during
-                recognition. The expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-                The {recognizer} segment may be set to ``_`` to use an
-                empty implicit Recognizer.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config (google.cloud.speech_v2.types.RecognitionConfig):
-                Features and audio metadata to use for the Automatic
-                Speech Recognition. This field in combination with the
-                [config_mask][google.cloud.speech.v2.RecognizeRequest.config_mask]
-                field can be used to override parts of the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the Recognizer resource.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields in
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                that override the values in the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the recognizer during this recognition request. If no
-                mask is provided, all non-default valued fields in
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                override the values in the recognizer for this
-                recognition request. If a mask is provided, only the
-                fields listed in the mask override the config in the
-                recognizer for this recognition request. If a wildcard
-                (``*``) is provided,
-                [config][google.cloud.speech.v2.RecognizeRequest.config]
-                completely overrides and replaces the config in the
-                recognizer for this recognition request.
-
-                This corresponds to the ``config_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            content (bytes):
-                The audio data bytes encoded as specified in
-                [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-                As with all bytes fields, proto buffers use a pure
-                binary representation, whereas JSON representations use
-                base64.
-
-                This corresponds to the ``content`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            uri (str):
-                URI that points to a file that contains audio data bytes
-                as specified in
-                [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-                The file must not be compressed (for example, gzip).
-                Currently, only Google Cloud Storage URIs are supported,
-                which must be specified in the following format:
-                ``gs://bucket_name/object_name`` (other URI formats
-                return
-                [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]).
-                For more information, see `Request
-                URIs <https://cloud.google.com/storage/docs/reference-uris>`__.
-
-                This corresponds to the ``uri`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.RecognizeResponse:
-                Response message for the
-                   [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                   method.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, config, config_mask, content, uri])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.RecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.RecognizeRequest):
-            request = cloud_speech.RecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if recognizer is not None:
-                request.recognizer = recognizer
-            if config is not None:
-                request.config = config
-            if config_mask is not None:
-                request.config_mask = config_mask
-            if content is not None:
-                request.content = content
-            if uri is not None:
-                request.uri = uri
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.recognize]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer", request.recognizer),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def streaming_recognize(
-        self,
-        requests: Optional[Iterator[cloud_speech.StreamingRecognizeRequest]] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> Iterable[cloud_speech.StreamingRecognizeResponse]:
-        r"""Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_streaming_recognize():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.StreamingRecognizeRequest(
-                    recognizer="recognizer_value",
-                )
-
-                # This method expects an iterator which contains
-                # 'speech_v2.StreamingRecognizeRequest' objects
-                # Here we create a generator that yields a single `request` for
-                # demonstrative purposes.
-                requests = [request]
-
-                def request_generator():
-                    for request in requests:
-                        yield request
-
-                # Make the request
-                stream = client.streaming_recognize(requests=request_generator())
-
-                # Handle the response
-                for response in stream:
-                    print(response)
-
-        Args:
-            requests (Iterator[google.cloud.speech_v2.types.StreamingRecognizeRequest]):
-                The request object iterator. Request message for the
-                [StreamingRecognize][google.cloud.speech.v2.Speech.StreamingRecognize]
-                method. Multiple
-                [StreamingRecognizeRequest][google.cloud.speech.v2.StreamingRecognizeRequest]
-                messages are sent in one call.
-
-                If the [Recognizer][google.cloud.speech.v2.Recognizer]
-                referenced by
-                [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-                contains a fully specified request configuration then
-                the stream may only contain messages with only
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio]
-                set.
-
-                Otherwise the first message must contain a
-                [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-                and a
-                [streaming_config][google.cloud.speech.v2.StreamingRecognizeRequest.streaming_config]
-                message that together fully specify the request
-                configuration and must not contain
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio].
-                All subsequent messages must only have
-                [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio]
-                set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            Iterable[google.cloud.speech_v2.types.StreamingRecognizeResponse]:
-                StreamingRecognizeResponse is the only message returned to the client by
-                   StreamingRecognize. A series of zero or more
-                   StreamingRecognizeResponse messages are streamed back
-                   to the client. If there is no recognizable audio then
-                   no messages are streamed back to the client.
-
-                   Here are some examples of StreamingRecognizeResponses
-                   that might be returned while processing audio:
-
-                   1. results { alternatives { transcript: "tube" }
-                      stability: 0.01 }
-                   2. results { alternatives { transcript: "to be a" }
-                      stability: 0.01 }
-                   3. results { alternatives { transcript: "to be" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " or not to be" } stability: 0.01 }
-                   4.
-
-                      results { alternatives { transcript: "to be or not to be"
-                         confidence: 0.92 }
-
-                      alternatives { transcript: "to bee or not to bee" }
-                         is_final: true }
-
-                   5. results { alternatives { transcript: " that's" }
-                      stability: 0.01 }
-                   6. results { alternatives { transcript: " that is" }
-                      stability: 0.9 } results { alternatives {
-                      transcript: " the question" } stability: 0.01 }
-                   7.
-
-                      results { alternatives { transcript: " that is the question"
-                         confidence: 0.98 }
-
-                      alternatives { transcript: " that was the question" }
-                         is_final: true }
-
-                   Notes:
-
-                   -  Only two of the above responses #4 and #7 contain
-                      final results; they are indicated by
-                      is_final: true. Concatenating these together
-                      generates the full transcript: "to be or not to be
-                      that is the question".
-                   -  The others contain interim results. #3 and #6
-                      contain two interim \`results`: the first portion
-                      has a high stability and is less likely to change;
-                      the second portion has a low stability and is very
-                      likely to change. A UI designer might choose to
-                      show only high stability results.
-                   -  The specific stability and confidence values shown
-                      above are only for illustrative purposes. Actual
-                      values may vary.
-                   -
-
-                      In each response, only one of these fields will be set:
-                         error, speech_event_type, or one or more
-                         (repeated) results.
-
-        """
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.streaming_recognize]
-
-        # Send the request.
-        response = rpc(
-            requests,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def batch_recognize(
-        self,
-        request: Optional[Union[cloud_speech.BatchRecognizeRequest, dict]] = None,
-        *,
-        recognizer: Optional[str] = None,
-        config: Optional[cloud_speech.RecognitionConfig] = None,
-        config_mask: Optional[field_mask_pb2.FieldMask] = None,
-        files: Optional[
-            MutableSequence[cloud_speech.BatchRecognizeFileMetadata]
-        ] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Performs batch asynchronous speech recognition: send
-        a request with N audio files and receive a long running
-        operation that can be polled to see when the
-        transcriptions are finished.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_batch_recognize():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.BatchRecognizeRequest(
-                    recognizer="recognizer_value",
-                )
-
-                # Make the request
-                operation = client.batch_recognize(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.BatchRecognizeRequest, dict]):
-                The request object. Request message for the
-                [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-                method.
-            recognizer (str):
-                Required. The name of the Recognizer to use during
-                recognition. The expected format is
-                ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-                The {recognizer} segment may be set to ``_`` to use an
-                empty implicit Recognizer.
-
-                This corresponds to the ``recognizer`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config (google.cloud.speech_v2.types.RecognitionConfig):
-                Features and audio metadata to use for the Automatic
-                Speech Recognition. This field in combination with the
-                [config_mask][google.cloud.speech.v2.BatchRecognizeRequest.config_mask]
-                field can be used to override parts of the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the Recognizer resource.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            config_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields in
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                that override the values in the
-                [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-                of the recognizer during this recognition request. If no
-                mask is provided, all given fields in
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                override the values in the recognizer for this
-                recognition request. If a mask is provided, only the
-                fields listed in the mask override the config in the
-                recognizer for this recognition request. If a wildcard
-                (``*``) is provided,
-                [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-                completely overrides and replaces the config in the
-                recognizer for this recognition request.
-
-                This corresponds to the ``config_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            files (MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]):
-                Audio files with file metadata for
-                ASR. The maximum number of files allowed
-                to be specified is 5.
-
-                This corresponds to the ``files`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.BatchRecognizeResponse` Response message for
-                   [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-                   that is packaged into a longrunning
-                   [Operation][google.longrunning.Operation].
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([recognizer, config, config_mask, files])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.BatchRecognizeRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.BatchRecognizeRequest):
-            request = cloud_speech.BatchRecognizeRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if recognizer is not None:
-                request.recognizer = recognizer
-            if config is not None:
-                request.config = config
-            if config_mask is not None:
-                request.config_mask = config_mask
-            if files is not None:
-                request.files = files
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.batch_recognize]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("recognizer", request.recognizer),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.BatchRecognizeResponse,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_config(
-        self,
-        request: Optional[Union[cloud_speech.GetConfigRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Config:
-        r"""Returns the requested [Config][google.cloud.speech.v2.Config].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_get_config():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetConfigRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_config(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.GetConfigRequest, dict]):
-                The request object. Request message for the
-                [GetConfig][google.cloud.speech.v2.Speech.GetConfig]
-                method.
-            name (str):
-                Required. The name of the config to retrieve. There is
-                exactly one config resource per project per location.
-                The expected format is
-                ``projects/{project}/locations/{location}/config``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Config:
-                Message representing the config for the Speech-to-Text API. This includes an
-                   optional [KMS
-                   key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys)
-                   with which incoming data will be encrypted.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.GetConfigRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.GetConfigRequest):
-            request = cloud_speech.GetConfigRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_config]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_config(
-        self,
-        request: Optional[Union[cloud_speech.UpdateConfigRequest, dict]] = None,
-        *,
-        config: Optional[cloud_speech.Config] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.Config:
-        r"""Updates the [Config][google.cloud.speech.v2.Config].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_update_config():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateConfigRequest(
-                )
-
-                # Make the request
-                response = client.update_config(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UpdateConfigRequest, dict]):
-                The request object. Request message for the
-                [UpdateConfig][google.cloud.speech.v2.Speech.UpdateConfig]
-                method.
-            config (google.cloud.speech_v2.types.Config):
-                Required. The config to update.
-
-                The config's ``name`` field is used to identify the
-                config to be updated. The expected format is
-                ``projects/{project}/locations/{location}/config``.
-
-                This corresponds to the ``config`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated.
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.Config:
-                Message representing the config for the Speech-to-Text API. This includes an
-                   optional [KMS
-                   key](\ https://cloud.google.com/kms/docs/resource-hierarchy#keys)
-                   with which incoming data will be encrypted.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([config, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UpdateConfigRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UpdateConfigRequest):
-            request = cloud_speech.UpdateConfigRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if config is not None:
-                request.config = config
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_config]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("config.name", request.config.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.CreateCustomClassRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        custom_class: Optional[cloud_speech.CustomClass] = None,
-        custom_class_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Creates a [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_create_custom_class():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreateCustomClassRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.CreateCustomClassRequest, dict]):
-                The request object. Request message for the
-                [CreateCustomClass][google.cloud.speech.v2.Speech.CreateCustomClass]
-                method.
-            parent (str):
-                Required. The project and location where this
-                CustomClass will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class (google.cloud.speech_v2.types.CustomClass):
-                Required. The CustomClass to create.
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            custom_class_id (str):
-                The ID to use for the CustomClass, which will become the
-                final component of the CustomClass's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``custom_class_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, custom_class, custom_class_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.CreateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.CreateCustomClassRequest):
-            request = cloud_speech.CreateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if custom_class_id is not None:
-                request.custom_class_id = custom_class_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_custom_classes(
-        self,
-        request: Optional[Union[cloud_speech.ListCustomClassesRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListCustomClassesPager:
-        r"""Lists CustomClasses.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_list_custom_classes():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListCustomClassesRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_custom_classes(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.ListCustomClassesRequest, dict]):
-                The request object. Request message for the
-                [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                method.
-            parent (str):
-                Required. The project and location of CustomClass
-                resources to list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListCustomClassesPager:
-                Response message for the
-                   [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.ListCustomClassesRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.ListCustomClassesRequest):
-            request = cloud_speech.ListCustomClassesRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_custom_classes]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListCustomClassesPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.GetCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.CustomClass:
-        r"""Returns the requested
-        [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_get_custom_class():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_custom_class(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.GetCustomClassRequest, dict]):
-                The request object. Request message for the
-                [GetCustomClass][google.cloud.speech.v2.Speech.GetCustomClass]
-                method.
-            name (str):
-                Required. The name of the CustomClass to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.CustomClass:
-                CustomClass for biasing in speech
-                recognition. Used to define a set of
-                words or phrases that represents a
-                common concept or theme likely to appear
-                in your audio, for example a list of
-                passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.GetCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.GetCustomClassRequest):
-            request = cloud_speech.GetCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.UpdateCustomClassRequest, dict]] = None,
-        *,
-        custom_class: Optional[cloud_speech.CustomClass] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Updates the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_update_custom_class():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdateCustomClassRequest(
-                )
-
-                # Make the request
-                operation = client.update_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UpdateCustomClassRequest, dict]):
-                The request object. Request message for the
-                [UpdateCustomClass][google.cloud.speech.v2.Speech.UpdateCustomClass]
-                method.
-            custom_class (google.cloud.speech_v2.types.CustomClass):
-                Required. The CustomClass to update.
-
-                The CustomClass's ``name`` field is used to identify the
-                CustomClass to update. Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-
-                This corresponds to the ``custom_class`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to be updated. If
-                empty, all fields are considered for
-                update.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([custom_class, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UpdateCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UpdateCustomClassRequest):
-            request = cloud_speech.UpdateCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if custom_class is not None:
-                request.custom_class = custom_class
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("custom_class.name", request.custom_class.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.DeleteCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Deletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_delete_custom_class():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.DeleteCustomClassRequest, dict]):
-                The request object. Request message for the
-                [DeleteCustomClass][google.cloud.speech.v2.Speech.DeleteCustomClass]
-                method.
-            name (str):
-                Required. The name of the CustomClass to delete. Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.DeleteCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.DeleteCustomClassRequest):
-            request = cloud_speech.DeleteCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def undelete_custom_class(
-        self,
-        request: Optional[Union[cloud_speech.UndeleteCustomClassRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Undeletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_undelete_custom_class():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeleteCustomClassRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_custom_class(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UndeleteCustomClassRequest, dict]):
-                The request object. Request message for the
-                [UndeleteCustomClass][google.cloud.speech.v2.Speech.UndeleteCustomClass]
-                method.
-            name (str):
-                Required. The name of the CustomClass to undelete.
-                Format:
-                ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.CustomClass` CustomClass for biasing in speech recognition. Used to define a set of words
-                   or phrases that represents a common concept or theme
-                   likely to appear in your audio, for example a list of
-                   passenger ship names.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UndeleteCustomClassRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UndeleteCustomClassRequest):
-            request = cloud_speech.UndeleteCustomClassRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.undelete_custom_class]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.CustomClass,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def create_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.CreatePhraseSetRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        phrase_set: Optional[cloud_speech.PhraseSet] = None,
-        phrase_set_id: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Creates a [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_create_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.CreatePhraseSetRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                operation = client.create_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.CreatePhraseSetRequest, dict]):
-                The request object. Request message for the
-                [CreatePhraseSet][google.cloud.speech.v2.Speech.CreatePhraseSet]
-                method.
-            parent (str):
-                Required. The project and location where this PhraseSet
-                will be created. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set (google.cloud.speech_v2.types.PhraseSet):
-                Required. The PhraseSet to create.
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            phrase_set_id (str):
-                The ID to use for the PhraseSet, which will become the
-                final component of the PhraseSet's resource name.
-
-                This value should be 4-63 characters, and valid
-                characters are /[a-z][0-9]-/.
-
-                This corresponds to the ``phrase_set_id`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent, phrase_set, phrase_set_id])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.CreatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.CreatePhraseSetRequest):
-            request = cloud_speech.CreatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if phrase_set_id is not None:
-                request.phrase_set_id = phrase_set_id
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.create_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_phrase_sets(
-        self,
-        request: Optional[Union[cloud_speech.ListPhraseSetsRequest, dict]] = None,
-        *,
-        parent: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> pagers.ListPhraseSetsPager:
-        r"""Lists PhraseSets.
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_list_phrase_sets():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.ListPhraseSetsRequest(
-                    parent="parent_value",
-                )
-
-                # Make the request
-                page_result = client.list_phrase_sets(request=request)
-
-                # Handle the response
-                for response in page_result:
-                    print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.ListPhraseSetsRequest, dict]):
-                The request object. Request message for the
-                [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                method.
-            parent (str):
-                Required. The project and location of PhraseSet
-                resources to list. The expected format is
-                ``projects/{project}/locations/{location}``.
-
-                This corresponds to the ``parent`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.services.speech.pagers.ListPhraseSetsPager:
-                Response message for the
-                   [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                   method.
-
-                Iterating over this object will yield results and
-                resolve additional pages automatically.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([parent])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.ListPhraseSetsRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.ListPhraseSetsRequest):
-            request = cloud_speech.ListPhraseSetsRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if parent is not None:
-                request.parent = parent
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.list_phrase_sets]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # This method is paged; wrap the response in a pager, which provides
-        # an `__iter__` convenience method.
-        response = pagers.ListPhraseSetsPager(
-            method=rpc,
-            request=request,
-            response=response,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.GetPhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> cloud_speech.PhraseSet:
-        r"""Returns the requested
-        [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_get_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.GetPhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                response = client.get_phrase_set(request=request)
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.GetPhraseSetRequest, dict]):
-                The request object. Request message for the
-                [GetPhraseSet][google.cloud.speech.v2.Speech.GetPhraseSet]
-                method.
-            name (str):
-                Required. The name of the PhraseSet to retrieve. The
-                expected format is
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.cloud.speech_v2.types.PhraseSet:
-                PhraseSet for biasing in speech
-                recognition. A PhraseSet is used to
-                provide "hints" to the speech recognizer
-                to favor specific words and phrases in
-                the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.GetPhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.GetPhraseSetRequest):
-            request = cloud_speech.GetPhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.get_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def update_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.UpdatePhraseSetRequest, dict]] = None,
-        *,
-        phrase_set: Optional[cloud_speech.PhraseSet] = None,
-        update_mask: Optional[field_mask_pb2.FieldMask] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Updates the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_update_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UpdatePhraseSetRequest(
-                )
-
-                # Make the request
-                operation = client.update_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UpdatePhraseSetRequest, dict]):
-                The request object. Request message for the
-                [UpdatePhraseSet][google.cloud.speech.v2.Speech.UpdatePhraseSet]
-                method.
-            phrase_set (google.cloud.speech_v2.types.PhraseSet):
-                Required. The PhraseSet to update.
-
-                The PhraseSet's ``name`` field is used to identify the
-                PhraseSet to update. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-
-                This corresponds to the ``phrase_set`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            update_mask (google.protobuf.field_mask_pb2.FieldMask):
-                The list of fields to update. If empty, all non-default
-                valued fields are considered for update. Use ``*`` to
-                update the entire PhraseSet resource.
-
-                This corresponds to the ``update_mask`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([phrase_set, update_mask])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UpdatePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UpdatePhraseSetRequest):
-            request = cloud_speech.UpdatePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if phrase_set is not None:
-                request.phrase_set = phrase_set
-            if update_mask is not None:
-                request.update_mask = update_mask
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.update_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata(
-                (("phrase_set.name", request.phrase_set.name),)
-            ),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.DeletePhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Deletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_delete_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.DeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.delete_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.DeletePhraseSetRequest, dict]):
-                The request object. Request message for the
-                [DeletePhraseSet][google.cloud.speech.v2.Speech.DeletePhraseSet]
-                method.
-            name (str):
-                Required. The name of the PhraseSet to delete. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.DeletePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.DeletePhraseSetRequest):
-            request = cloud_speech.DeletePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.delete_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def undelete_phrase_set(
-        self,
-        request: Optional[Union[cloud_speech.UndeletePhraseSetRequest, dict]] = None,
-        *,
-        name: Optional[str] = None,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operation.Operation:
-        r"""Undeletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        .. code-block:: python
-
-            # This snippet has been automatically generated and should be regarded as a
-            # code template only.
-            # It will require modifications to work:
-            # - It may require correct/in-range values for request initialization.
-            # - It may require specifying regional endpoints when creating the service
-            #   client as shown in:
-            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
-            from google.cloud import speech_v2
-
-            def sample_undelete_phrase_set():
-                # Create a client
-                client = speech_v2.SpeechClient()
-
-                # Initialize request argument(s)
-                request = speech_v2.UndeletePhraseSetRequest(
-                    name="name_value",
-                )
-
-                # Make the request
-                operation = client.undelete_phrase_set(request=request)
-
-                print("Waiting for operation to complete...")
-
-                response = operation.result()
-
-                # Handle the response
-                print(response)
-
-        Args:
-            request (Union[google.cloud.speech_v2.types.UndeletePhraseSetRequest, dict]):
-                The request object. Request message for the
-                [UndeletePhraseSet][google.cloud.speech.v2.Speech.UndeletePhraseSet]
-                method.
-            name (str):
-                Required. The name of the PhraseSet to undelete. Format:
-                ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-
-                This corresponds to the ``name`` field
-                on the ``request`` instance; if ``request`` is provided, this
-                should not be set.
-            retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-
-        Returns:
-            google.api_core.operation.Operation:
-                An object representing a long-running operation.
-
-                The result type for the operation will be :class:`google.cloud.speech_v2.types.PhraseSet` PhraseSet for biasing in speech recognition. A PhraseSet is used to provide
-                   "hints" to the speech recognizer to favor specific
-                   words and phrases in the results.
-
-        """
-        # Create or coerce a protobuf request object.
-        # Quick check: If we got a request object, we should *not* have
-        # gotten any keyword arguments that map to the request.
-        has_flattened_params = any([name])
-        if request is not None and has_flattened_params:
-            raise ValueError(
-                "If the `request` argument is set, then none of "
-                "the individual field arguments should be set."
-            )
-
-        # Minor optimization to avoid making a copy if the user passes
-        # in a cloud_speech.UndeletePhraseSetRequest.
-        # There's no risk of modifying the input as we've already verified
-        # there are no flattened fields.
-        if not isinstance(request, cloud_speech.UndeletePhraseSetRequest):
-            request = cloud_speech.UndeletePhraseSetRequest(request)
-            # If we have keyword arguments corresponding to fields on the
-            # request, apply these.
-            if name is not None:
-                request.name = name
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = self._transport._wrapped_methods[self._transport.undelete_phrase_set]
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Wrap the response in an operation future.
-        response = operation.from_gapic(
-            response,
-            self._transport.operations_client,
-            cloud_speech.PhraseSet,
-            metadata_type=cloud_speech.OperationMetadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def __enter__(self) -> "SpeechClient":
-        return self
-
-    def __exit__(self, type, value, traceback):
-        """Releases underlying transport's resources.
-
-        .. warning::
-            ONLY use as a context manager if the transport is NOT shared
-            with other clients! Exiting the with block will CLOSE the transport
-            and may cause errors in other clients!
-        """
-        self.transport.close()
-
-    def list_operations(
-        self,
-        request: Optional[operations_pb2.ListOperationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.ListOperationsResponse:
-        r"""Lists operations that match the specified filter in the request.
-
-        Args:
-            request (:class:`~.operations_pb2.ListOperationsRequest`):
-                The request object. Request message for
-                `ListOperations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.ListOperationsResponse:
-                Response message for ``ListOperations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.ListOperationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_operations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def get_operation(
-        self,
-        request: Optional[operations_pb2.GetOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> operations_pb2.Operation:
-        r"""Gets the latest state of a long-running operation.
-
-        Args:
-            request (:class:`~.operations_pb2.GetOperationRequest`):
-                The request object. Request message for
-                `GetOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.operations_pb2.Operation:
-                An ``Operation`` object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.GetOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def delete_operation(
-        self,
-        request: Optional[operations_pb2.DeleteOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Deletes a long-running operation.
-
-        This method indicates that the client is no longer interested
-        in the operation result. It does not cancel the operation.
-        If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.DeleteOperationRequest`):
-                The request object. Request message for
-                `DeleteOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.DeleteOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.delete_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def cancel_operation(
-        self,
-        request: Optional[operations_pb2.CancelOperationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> None:
-        r"""Starts asynchronous cancellation on a long-running operation.
-
-        The server makes a best effort to cancel the operation, but success
-        is not guaranteed.  If the server doesn't support this method, it returns
-        `google.rpc.Code.UNIMPLEMENTED`.
-
-        Args:
-            request (:class:`~.operations_pb2.CancelOperationRequest`):
-                The request object. Request message for
-                `CancelOperation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                    if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            None
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = operations_pb2.CancelOperationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.cancel_operation,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-    def get_location(
-        self,
-        request: Optional[locations_pb2.GetLocationRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.Location:
-        r"""Gets information about a location.
-
-        Args:
-            request (:class:`~.location_pb2.GetLocationRequest`):
-                The request object. Request message for
-                `GetLocation` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.Location:
-                Location object.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.GetLocationRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.get_location,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-    def list_locations(
-        self,
-        request: Optional[locations_pb2.ListLocationsRequest] = None,
-        *,
-        retry: OptionalRetry = gapic_v1.method.DEFAULT,
-        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
-        metadata: Sequence[Tuple[str, str]] = (),
-    ) -> locations_pb2.ListLocationsResponse:
-        r"""Lists information about the supported locations for this service.
-
-        Args:
-            request (:class:`~.location_pb2.ListLocationsRequest`):
-                The request object. Request message for
-                `ListLocations` method.
-            retry (google.api_core.retry.Retry): Designation of what errors,
-                 if any, should be retried.
-            timeout (float): The timeout for this request.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        Returns:
-            ~.location_pb2.ListLocationsResponse:
-                Response message for ``ListLocations`` method.
-        """
-        # Create or coerce a protobuf request object.
-        # The request isn't a proto-plus wrapped type,
-        # so it must be constructed via keyword expansion.
-        if isinstance(request, dict):
-            request = locations_pb2.ListLocationsRequest(**request)
-
-        # Wrap the RPC method; this adds retry and timeout information,
-        # and friendly error handling.
-        rpc = gapic_v1.method.wrap_method(
-            self._transport.list_locations,
-            default_timeout=None,
-            client_info=DEFAULT_CLIENT_INFO,
-        )
-
-        # Certain fields should be provided within the metadata header;
-        # add these here.
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
-        )
-
-        # Send the request.
-        response = rpc(
-            request,
-            retry=retry,
-            timeout=timeout,
-            metadata=metadata,
-        )
-
-        # Done; return the response.
-        return response
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-__all__ = ("SpeechClient",)
diff --git a/google/cloud/speech_v2/services/speech/pagers.py b/google/cloud/speech_v2/services/speech/pagers.py
deleted file mode 100644
index d53f62f1..00000000
--- a/google/cloud/speech_v2/services/speech/pagers.py
+++ /dev/null
@@ -1,411 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from typing import (
-    Any,
-    AsyncIterator,
-    Awaitable,
-    Callable,
-    Sequence,
-    Tuple,
-    Optional,
-    Iterator,
-)
-
-from google.cloud.speech_v2.types import cloud_speech
-
-
-class ListRecognizersPager:
-    """A pager for iterating through ``list_recognizers`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListRecognizersResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``recognizers`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListRecognizers`` requests and continue to iterate
-    through the ``recognizers`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListRecognizersResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech.ListRecognizersResponse],
-        request: cloud_speech.ListRecognizersRequest,
-        response: cloud_speech.ListRecognizersResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListRecognizersRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListRecognizersResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListRecognizersRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech.ListRecognizersResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[cloud_speech.Recognizer]:
-        for page in self.pages:
-            yield from page.recognizers
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListRecognizersAsyncPager:
-    """A pager for iterating through ``list_recognizers`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListRecognizersResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``recognizers`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListRecognizers`` requests and continue to iterate
-    through the ``recognizers`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListRecognizersResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., Awaitable[cloud_speech.ListRecognizersResponse]],
-        request: cloud_speech.ListRecognizersRequest,
-        response: cloud_speech.ListRecognizersResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListRecognizersRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListRecognizersResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListRecognizersRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[cloud_speech.ListRecognizersResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[cloud_speech.Recognizer]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.recognizers:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListCustomClassesResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech.ListCustomClassesResponse],
-        request: cloud_speech.ListCustomClassesRequest,
-        response: cloud_speech.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[cloud_speech.CustomClass]:
-        for page in self.pages:
-            yield from page.custom_classes
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListCustomClassesAsyncPager:
-    """A pager for iterating through ``list_custom_classes`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListCustomClassesResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``custom_classes`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListCustomClasses`` requests and continue to iterate
-    through the ``custom_classes`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListCustomClassesResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., Awaitable[cloud_speech.ListCustomClassesResponse]],
-        request: cloud_speech.ListCustomClassesRequest,
-        response: cloud_speech.ListCustomClassesResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListCustomClassesRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListCustomClassesResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListCustomClassesRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[cloud_speech.ListCustomClassesResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[cloud_speech.CustomClass]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.custom_classes:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListPhraseSetsPager:
-    """A pager for iterating through ``list_phrase_sets`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse` object, and
-    provides an ``__iter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__iter__`` method will make additional
-    ``ListPhraseSets`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., cloud_speech.ListPhraseSetsResponse],
-        request: cloud_speech.ListPhraseSetsRequest,
-        response: cloud_speech.ListPhraseSetsResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiate the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListPhraseSetsRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListPhraseSetsResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListPhraseSetsRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    def pages(self) -> Iterator[cloud_speech.ListPhraseSetsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __iter__(self) -> Iterator[cloud_speech.PhraseSet]:
-        for page in self.pages:
-            yield from page.phrase_sets
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
-
-
-class ListPhraseSetsAsyncPager:
-    """A pager for iterating through ``list_phrase_sets`` requests.
-
-    This class thinly wraps an initial
-    :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse` object, and
-    provides an ``__aiter__`` method to iterate through its
-    ``phrase_sets`` field.
-
-    If there are more pages, the ``__aiter__`` method will make additional
-    ``ListPhraseSets`` requests and continue to iterate
-    through the ``phrase_sets`` field on the
-    corresponding responses.
-
-    All the usual :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse`
-    attributes are available on the pager. If multiple requests are made, only
-    the most recent response is retained, and thus used for attribute lookup.
-    """
-
-    def __init__(
-        self,
-        method: Callable[..., Awaitable[cloud_speech.ListPhraseSetsResponse]],
-        request: cloud_speech.ListPhraseSetsRequest,
-        response: cloud_speech.ListPhraseSetsResponse,
-        *,
-        metadata: Sequence[Tuple[str, str]] = ()
-    ):
-        """Instantiates the pager.
-
-        Args:
-            method (Callable): The method that was originally called, and
-                which instantiated this pager.
-            request (google.cloud.speech_v2.types.ListPhraseSetsRequest):
-                The initial request object.
-            response (google.cloud.speech_v2.types.ListPhraseSetsResponse):
-                The initial response object.
-            metadata (Sequence[Tuple[str, str]]): Strings which should be
-                sent along with the request as metadata.
-        """
-        self._method = method
-        self._request = cloud_speech.ListPhraseSetsRequest(request)
-        self._response = response
-        self._metadata = metadata
-
-    def __getattr__(self, name: str) -> Any:
-        return getattr(self._response, name)
-
-    @property
-    async def pages(self) -> AsyncIterator[cloud_speech.ListPhraseSetsResponse]:
-        yield self._response
-        while self._response.next_page_token:
-            self._request.page_token = self._response.next_page_token
-            self._response = await self._method(self._request, metadata=self._metadata)
-            yield self._response
-
-    def __aiter__(self) -> AsyncIterator[cloud_speech.PhraseSet]:
-        async def async_generator():
-            async for page in self.pages:
-                for response in page.phrase_sets:
-                    yield response
-
-        return async_generator()
-
-    def __repr__(self) -> str:
-        return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
diff --git a/google/cloud/speech_v2/services/speech/transports/__init__.py b/google/cloud/speech_v2/services/speech/transports/__init__.py
deleted file mode 100644
index af913f1d..00000000
--- a/google/cloud/speech_v2/services/speech/transports/__init__.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from collections import OrderedDict
-from typing import Dict, Type
-
-from .base import SpeechTransport
-from .grpc import SpeechGrpcTransport
-from .grpc_asyncio import SpeechGrpcAsyncIOTransport
-from .rest import SpeechRestTransport
-from .rest import SpeechRestInterceptor
-
-
-# Compile a registry of transports.
-_transport_registry = OrderedDict()  # type: Dict[str, Type[SpeechTransport]]
-_transport_registry["grpc"] = SpeechGrpcTransport
-_transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
-_transport_registry["rest"] = SpeechRestTransport
-
-__all__ = (
-    "SpeechTransport",
-    "SpeechGrpcTransport",
-    "SpeechGrpcAsyncIOTransport",
-    "SpeechRestTransport",
-    "SpeechRestInterceptor",
-)
diff --git a/google/cloud/speech_v2/services/speech/transports/base.py b/google/cloud/speech_v2/services/speech/transports/base.py
deleted file mode 100644
index 9271a98a..00000000
--- a/google/cloud/speech_v2/services/speech/transports/base.py
+++ /dev/null
@@ -1,540 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import abc
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
-
-from google.cloud.speech_v2 import gapic_version as package_version
-
-import google.auth  # type: ignore
-import google.api_core
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import retry as retries
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.oauth2 import service_account  # type: ignore
-
-from google.cloud.location import locations_pb2  # type: ignore
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=package_version.__version__
-)
-
-
-class SpeechTransport(abc.ABC):
-    """Abstract transport class for Speech."""
-
-    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
-
-    DEFAULT_HOST: str = "speech.googleapis.com"
-
-    def __init__(
-        self,
-        *,
-        host: str = DEFAULT_HOST,
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-        **kwargs,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A list of scopes.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-        """
-
-        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
-
-        # Save the scopes.
-        self._scopes = scopes
-
-        # If no credentials are provided, then determine the appropriate
-        # defaults.
-        if credentials and credentials_file:
-            raise core_exceptions.DuplicateCredentialArgs(
-                "'credentials_file' and 'credentials' are mutually exclusive"
-            )
-
-        if credentials_file is not None:
-            credentials, _ = google.auth.load_credentials_from_file(
-                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
-            )
-        elif credentials is None:
-            credentials, _ = google.auth.default(
-                **scopes_kwargs, quota_project_id=quota_project_id
-            )
-            # Don't apply audience if the credentials file passed from user.
-            if hasattr(credentials, "with_gdch_audience"):
-                credentials = credentials.with_gdch_audience(
-                    api_audience if api_audience else host
-                )
-
-        # If the credentials are service account credentials, then always try to use self signed JWT.
-        if (
-            always_use_jwt_access
-            and isinstance(credentials, service_account.Credentials)
-            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
-        ):
-            credentials = credentials.with_always_use_jwt_access(True)
-
-        # Save the credentials.
-        self._credentials = credentials
-
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
-
-    def _prep_wrapped_messages(self, client_info):
-        # Precompute the wrapped methods.
-        self._wrapped_methods = {
-            self.create_recognizer: gapic_v1.method.wrap_method(
-                self.create_recognizer,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_recognizers: gapic_v1.method.wrap_method(
-                self.list_recognizers,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_recognizer: gapic_v1.method.wrap_method(
-                self.get_recognizer,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_recognizer: gapic_v1.method.wrap_method(
-                self.update_recognizer,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_recognizer: gapic_v1.method.wrap_method(
-                self.delete_recognizer,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.undelete_recognizer: gapic_v1.method.wrap_method(
-                self.undelete_recognizer,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.recognize: gapic_v1.method.wrap_method(
-                self.recognize,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.streaming_recognize: gapic_v1.method.wrap_method(
-                self.streaming_recognize,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.batch_recognize: gapic_v1.method.wrap_method(
-                self.batch_recognize,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_config: gapic_v1.method.wrap_method(
-                self.get_config,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_config: gapic_v1.method.wrap_method(
-                self.update_config,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_custom_class: gapic_v1.method.wrap_method(
-                self.create_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_custom_classes: gapic_v1.method.wrap_method(
-                self.list_custom_classes,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_custom_class: gapic_v1.method.wrap_method(
-                self.get_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_custom_class: gapic_v1.method.wrap_method(
-                self.update_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_custom_class: gapic_v1.method.wrap_method(
-                self.delete_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.undelete_custom_class: gapic_v1.method.wrap_method(
-                self.undelete_custom_class,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.create_phrase_set: gapic_v1.method.wrap_method(
-                self.create_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.list_phrase_sets: gapic_v1.method.wrap_method(
-                self.list_phrase_sets,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.get_phrase_set: gapic_v1.method.wrap_method(
-                self.get_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.update_phrase_set: gapic_v1.method.wrap_method(
-                self.update_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.delete_phrase_set: gapic_v1.method.wrap_method(
-                self.delete_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-            self.undelete_phrase_set: gapic_v1.method.wrap_method(
-                self.undelete_phrase_set,
-                default_timeout=None,
-                client_info=client_info,
-            ),
-        }
-
-    def close(self):
-        """Closes resources associated with the transport.
-
-        .. warning::
-             Only call this method if the transport is NOT shared
-             with other clients - this may cause errors in other clients!
-        """
-        raise NotImplementedError()
-
-    @property
-    def operations_client(self):
-        """Return the client designed to process long-running operations."""
-        raise NotImplementedError()
-
-    @property
-    def create_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreateRecognizerRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_recognizers(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListRecognizersRequest],
-        Union[
-            cloud_speech.ListRecognizersResponse,
-            Awaitable[cloud_speech.ListRecognizersResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetRecognizerRequest],
-        Union[cloud_speech.Recognizer, Awaitable[cloud_speech.Recognizer]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdateRecognizerRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeleteRecognizerRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def undelete_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeleteRecognizerRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest],
-        Union[
-            cloud_speech.RecognizeResponse, Awaitable[cloud_speech.RecognizeResponse]
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Union[
-            cloud_speech.StreamingRecognizeResponse,
-            Awaitable[cloud_speech.StreamingRecognizeResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def batch_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.BatchRecognizeRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_config(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetConfigRequest],
-        Union[cloud_speech.Config, Awaitable[cloud_speech.Config]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_config(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdateConfigRequest],
-        Union[cloud_speech.Config, Awaitable[cloud_speech.Config]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreateCustomClassRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListCustomClassesRequest],
-        Union[
-            cloud_speech.ListCustomClassesResponse,
-            Awaitable[cloud_speech.ListCustomClassesResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetCustomClassRequest],
-        Union[cloud_speech.CustomClass, Awaitable[cloud_speech.CustomClass]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdateCustomClassRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeleteCustomClassRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def undelete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeleteCustomClassRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreatePhraseSetRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_phrase_sets(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListPhraseSetsRequest],
-        Union[
-            cloud_speech.ListPhraseSetsResponse,
-            Awaitable[cloud_speech.ListPhraseSetsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetPhraseSetRequest],
-        Union[cloud_speech.PhraseSet, Awaitable[cloud_speech.PhraseSet]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdatePhraseSetRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeletePhraseSetRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def undelete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeletePhraseSetRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest],
-        Union[
-            operations_pb2.ListOperationsResponse,
-            Awaitable[operations_pb2.ListOperationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[
-        [operations_pb2.GetOperationRequest],
-        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None,]:
-        raise NotImplementedError()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None,]:
-        raise NotImplementedError()
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[
-        [locations_pb2.GetLocationRequest],
-        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest],
-        Union[
-            locations_pb2.ListLocationsResponse,
-            Awaitable[locations_pb2.ListLocationsResponse],
-        ],
-    ]:
-        raise NotImplementedError()
-
-    @property
-    def kind(self) -> str:
-        raise NotImplementedError()
-
-
-__all__ = ("SpeechTransport",)
diff --git a/google/cloud/speech_v2/services/speech/transports/grpc.py b/google/cloud/speech_v2/services/speech/transports/grpc.py
deleted file mode 100644
index 33f0e8cf..00000000
--- a/google/cloud/speech_v2/services/speech/transports/grpc.py
+++ /dev/null
@@ -1,982 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import grpc_helpers
-from google.api_core import operations_v1
-from google.api_core import gapic_v1
-import google.auth  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-
-from google.cloud.location import locations_pb2  # type: ignore
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-
-
-class SpeechGrpcTransport(SpeechTransport):
-    """gRPC backend transport for Speech.
-
-    Enables speech transcription and resource management.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _stubs: Dict[str, Callable]
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[grpc.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            channel (Optional[grpc.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> grpc.Channel:
-        """Create and return a gRPC channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is mutually exclusive with credentials.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            grpc.Channel: A gRPC channel object.
-
-        Raises:
-            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-
-        return grpc_helpers.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    @property
-    def grpc_channel(self) -> grpc.Channel:
-        """Return the channel designed to connect to this service."""
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsClient(self.grpc_channel)
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.CreateRecognizerRequest], operations_pb2.Operation]:
-        r"""Return a callable for the create recognizer method over gRPC.
-
-        Creates a [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.CreateRecognizerRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_recognizer" not in self._stubs:
-            self._stubs["create_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreateRecognizer",
-                request_serializer=cloud_speech.CreateRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_recognizer"]
-
-    @property
-    def list_recognizers(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListRecognizersRequest], cloud_speech.ListRecognizersResponse
-    ]:
-        r"""Return a callable for the list recognizers method over gRPC.
-
-        Lists Recognizers.
-
-        Returns:
-            Callable[[~.ListRecognizersRequest],
-                    ~.ListRecognizersResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_recognizers" not in self._stubs:
-            self._stubs["list_recognizers"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListRecognizers",
-                request_serializer=cloud_speech.ListRecognizersRequest.serialize,
-                response_deserializer=cloud_speech.ListRecognizersResponse.deserialize,
-            )
-        return self._stubs["list_recognizers"]
-
-    @property
-    def get_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.GetRecognizerRequest], cloud_speech.Recognizer]:
-        r"""Return a callable for the get recognizer method over gRPC.
-
-        Returns the requested
-        [Recognizer][google.cloud.speech.v2.Recognizer]. Fails with
-        [NOT_FOUND][google.rpc.Code.NOT_FOUND] if the requested
-        Recognizer doesn't exist.
-
-        Returns:
-            Callable[[~.GetRecognizerRequest],
-                    ~.Recognizer]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_recognizer" not in self._stubs:
-            self._stubs["get_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetRecognizer",
-                request_serializer=cloud_speech.GetRecognizerRequest.serialize,
-                response_deserializer=cloud_speech.Recognizer.deserialize,
-            )
-        return self._stubs["get_recognizer"]
-
-    @property
-    def update_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.UpdateRecognizerRequest], operations_pb2.Operation]:
-        r"""Return a callable for the update recognizer method over gRPC.
-
-        Updates the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.UpdateRecognizerRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_recognizer" not in self._stubs:
-            self._stubs["update_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateRecognizer",
-                request_serializer=cloud_speech.UpdateRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_recognizer"]
-
-    @property
-    def delete_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.DeleteRecognizerRequest], operations_pb2.Operation]:
-        r"""Return a callable for the delete recognizer method over gRPC.
-
-        Deletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.DeleteRecognizerRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_recognizer" not in self._stubs:
-            self._stubs["delete_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeleteRecognizer",
-                request_serializer=cloud_speech.DeleteRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_recognizer"]
-
-    @property
-    def undelete_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.UndeleteRecognizerRequest], operations_pb2.Operation]:
-        r"""Return a callable for the undelete recognizer method over gRPC.
-
-        Undeletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.UndeleteRecognizerRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_recognizer" not in self._stubs:
-            self._stubs["undelete_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeleteRecognizer",
-                request_serializer=cloud_speech.UndeleteRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_recognizer"]
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous Speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    ~.RecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    ~.StreamingRecognizeResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v2.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    @property
-    def batch_recognize(
-        self,
-    ) -> Callable[[cloud_speech.BatchRecognizeRequest], operations_pb2.Operation]:
-        r"""Return a callable for the batch recognize method over gRPC.
-
-        Performs batch asynchronous speech recognition: send
-        a request with N audio files and receive a long running
-        operation that can be polled to see when the
-        transcriptions are finished.
-
-        Returns:
-            Callable[[~.BatchRecognizeRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "batch_recognize" not in self._stubs:
-            self._stubs["batch_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/BatchRecognize",
-                request_serializer=cloud_speech.BatchRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["batch_recognize"]
-
-    @property
-    def get_config(
-        self,
-    ) -> Callable[[cloud_speech.GetConfigRequest], cloud_speech.Config]:
-        r"""Return a callable for the get config method over gRPC.
-
-        Returns the requested [Config][google.cloud.speech.v2.Config].
-
-        Returns:
-            Callable[[~.GetConfigRequest],
-                    ~.Config]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_config" not in self._stubs:
-            self._stubs["get_config"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetConfig",
-                request_serializer=cloud_speech.GetConfigRequest.serialize,
-                response_deserializer=cloud_speech.Config.deserialize,
-            )
-        return self._stubs["get_config"]
-
-    @property
-    def update_config(
-        self,
-    ) -> Callable[[cloud_speech.UpdateConfigRequest], cloud_speech.Config]:
-        r"""Return a callable for the update config method over gRPC.
-
-        Updates the [Config][google.cloud.speech.v2.Config].
-
-        Returns:
-            Callable[[~.UpdateConfigRequest],
-                    ~.Config]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_config" not in self._stubs:
-            self._stubs["update_config"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateConfig",
-                request_serializer=cloud_speech.UpdateConfigRequest.serialize,
-                response_deserializer=cloud_speech.Config.deserialize,
-            )
-        return self._stubs["update_config"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.CreateCustomClassRequest], operations_pb2.Operation]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Creates a [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreateCustomClass",
-                request_serializer=cloud_speech.CreateCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListCustomClassesRequest], cloud_speech.ListCustomClassesResponse
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        Lists CustomClasses.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    ~.ListCustomClassesResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListCustomClasses",
-                request_serializer=cloud_speech.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.GetCustomClassRequest], cloud_speech.CustomClass]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Returns the requested
-        [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    ~.CustomClass]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetCustomClass",
-                request_serializer=cloud_speech.GetCustomClassRequest.serialize,
-                response_deserializer=cloud_speech.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.UpdateCustomClassRequest], operations_pb2.Operation]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Updates the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateCustomClass",
-                request_serializer=cloud_speech.UpdateCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.DeleteCustomClassRequest], operations_pb2.Operation]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Deletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeleteCustomClass",
-                request_serializer=cloud_speech.DeleteCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    @property
-    def undelete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.UndeleteCustomClassRequest], operations_pb2.Operation]:
-        r"""Return a callable for the undelete custom class method over gRPC.
-
-        Undeletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.UndeleteCustomClassRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_custom_class" not in self._stubs:
-            self._stubs["undelete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeleteCustomClass",
-                request_serializer=cloud_speech.UndeleteCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_custom_class"]
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.CreatePhraseSetRequest], operations_pb2.Operation]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Creates a [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreatePhraseSet",
-                request_serializer=cloud_speech.CreatePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def list_phrase_sets(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListPhraseSetsRequest], cloud_speech.ListPhraseSetsResponse
-    ]:
-        r"""Return a callable for the list phrase sets method over gRPC.
-
-        Lists PhraseSets.
-
-        Returns:
-            Callable[[~.ListPhraseSetsRequest],
-                    ~.ListPhraseSetsResponse]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_sets" not in self._stubs:
-            self._stubs["list_phrase_sets"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListPhraseSets",
-                request_serializer=cloud_speech.ListPhraseSetsRequest.serialize,
-                response_deserializer=cloud_speech.ListPhraseSetsResponse.deserialize,
-            )
-        return self._stubs["list_phrase_sets"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.GetPhraseSetRequest], cloud_speech.PhraseSet]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Returns the requested
-        [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    ~.PhraseSet]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetPhraseSet",
-                request_serializer=cloud_speech.GetPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.UpdatePhraseSetRequest], operations_pb2.Operation]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Updates the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdatePhraseSet",
-                request_serializer=cloud_speech.UpdatePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.DeletePhraseSetRequest], operations_pb2.Operation]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Deletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeletePhraseSet",
-                request_serializer=cloud_speech.DeletePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def undelete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.UndeletePhraseSetRequest], operations_pb2.Operation]:
-        r"""Return a callable for the undelete phrase set method over gRPC.
-
-        Undeletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.UndeletePhraseSetRequest],
-                    ~.Operation]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_phrase_set" not in self._stubs:
-            self._stubs["undelete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeletePhraseSet",
-                request_serializer=cloud_speech.UndeletePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_phrase_set"]
-
-    def close(self):
-        self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse
-    ]:
-        r"""Return a callable for the list locations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-    @property
-    def kind(self) -> str:
-        return "grpc"
-
-
-__all__ = ("SpeechGrpcTransport",)
diff --git a/google/cloud/speech_v2/services/speech/transports/grpc_asyncio.py b/google/cloud/speech_v2/services/speech/transports/grpc_asyncio.py
deleted file mode 100644
index 1f534fe0..00000000
--- a/google/cloud/speech_v2/services/speech/transports/grpc_asyncio.py
+++ /dev/null
@@ -1,1020 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import warnings
-from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
-
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers_async
-from google.api_core import operations_v1
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-
-import grpc  # type: ignore
-from grpc.experimental import aio  # type: ignore
-
-from google.cloud.location import locations_pb2  # type: ignore
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO
-from .grpc import SpeechGrpcTransport
-
-
-class SpeechGrpcAsyncIOTransport(SpeechTransport):
-    """gRPC AsyncIO backend transport for Speech.
-
-    Enables speech transcription and resource management.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends protocol buffers over the wire using gRPC (which is built on
-    top of HTTP/2); the ``grpcio`` package must be installed.
-    """
-
-    _grpc_channel: aio.Channel
-    _stubs: Dict[str, Callable] = {}
-
-    @classmethod
-    def create_channel(
-        cls,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        quota_project_id: Optional[str] = None,
-        **kwargs,
-    ) -> aio.Channel:
-        """Create and return a gRPC AsyncIO channel object.
-        Args:
-            host (Optional[str]): The host for the channel to use.
-            credentials (Optional[~.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            kwargs (Optional[dict]): Keyword arguments, which are passed to the
-                channel creation.
-        Returns:
-            aio.Channel: A gRPC AsyncIO channel object.
-        """
-
-        return grpc_helpers_async.create_channel(
-            host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            quota_project_id=quota_project_id,
-            default_scopes=cls.AUTH_SCOPES,
-            scopes=scopes,
-            default_host=cls.DEFAULT_HOST,
-            **kwargs,
-        )
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        channel: Optional[aio.Channel] = None,
-        api_mtls_endpoint: Optional[str] = None,
-        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is ignored if ``channel`` is provided.
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
-                service. These are only used when credentials are not specified and
-                are passed to :func:`google.auth.default`.
-            channel (Optional[aio.Channel]): A ``Channel`` instance through
-                which to make calls.
-            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
-                If provided, it overrides the ``host`` argument and tries to create
-                a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or application default SSL credentials.
-            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                Deprecated. A callback to provide client SSL certificate bytes and
-                private key bytes, both in PEM format. It is ignored if
-                ``api_mtls_endpoint`` is None.
-            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
-                for the grpc channel. It is ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
-                A callback to provide client certificate bytes and private key bytes,
-                both in PEM format. It is used to configure a mutual TLS channel. It is
-                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-
-        Raises:
-            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
-              creation failed for any reason.
-          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
-              and ``credentials_file`` are passed.
-        """
-        self._grpc_channel = None
-        self._ssl_channel_credentials = ssl_channel_credentials
-        self._stubs: Dict[str, Callable] = {}
-        self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None
-
-        if api_mtls_endpoint:
-            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
-        if client_cert_source:
-            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
-
-        if channel:
-            # Ignore credentials if a channel was passed.
-            credentials = False
-            # If a channel was explicitly provided, set it.
-            self._grpc_channel = channel
-            self._ssl_channel_credentials = None
-        else:
-            if api_mtls_endpoint:
-                host = api_mtls_endpoint
-
-                # Create SSL credentials with client_cert_source or application
-                # default SSL credentials.
-                if client_cert_source:
-                    cert, key = client_cert_source()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-                else:
-                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
-
-            else:
-                if client_cert_source_for_mtls and not ssl_channel_credentials:
-                    cert, key = client_cert_source_for_mtls()
-                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
-                        certificate_chain=cert, private_key=key
-                    )
-
-        # The base transport sets the host, credentials and scopes
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            credentials_file=credentials_file,
-            scopes=scopes,
-            quota_project_id=quota_project_id,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-
-        if not self._grpc_channel:
-            self._grpc_channel = type(self).create_channel(
-                self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                # Set ``credentials_file`` to ``None`` here as
-                # the credentials that we saved earlier should be used.
-                credentials_file=None,
-                scopes=self._scopes,
-                ssl_credentials=self._ssl_channel_credentials,
-                quota_project_id=quota_project_id,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-
-        # Wrap messages. This must be done after self._grpc_channel exists
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def grpc_channel(self) -> aio.Channel:
-        """Create the channel designed to connect to this service.
-
-        This property caches on the instance; repeated calls return
-        the same channel.
-        """
-        # Return the channel from cache.
-        return self._grpc_channel
-
-    @property
-    def operations_client(self) -> operations_v1.OperationsAsyncClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Quick check: Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            self._operations_client = operations_v1.OperationsAsyncClient(
-                self.grpc_channel
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    @property
-    def create_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreateRecognizerRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the create recognizer method over gRPC.
-
-        Creates a [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.CreateRecognizerRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_recognizer" not in self._stubs:
-            self._stubs["create_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreateRecognizer",
-                request_serializer=cloud_speech.CreateRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_recognizer"]
-
-    @property
-    def list_recognizers(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListRecognizersRequest],
-        Awaitable[cloud_speech.ListRecognizersResponse],
-    ]:
-        r"""Return a callable for the list recognizers method over gRPC.
-
-        Lists Recognizers.
-
-        Returns:
-            Callable[[~.ListRecognizersRequest],
-                    Awaitable[~.ListRecognizersResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_recognizers" not in self._stubs:
-            self._stubs["list_recognizers"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListRecognizers",
-                request_serializer=cloud_speech.ListRecognizersRequest.serialize,
-                response_deserializer=cloud_speech.ListRecognizersResponse.deserialize,
-            )
-        return self._stubs["list_recognizers"]
-
-    @property
-    def get_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetRecognizerRequest], Awaitable[cloud_speech.Recognizer]
-    ]:
-        r"""Return a callable for the get recognizer method over gRPC.
-
-        Returns the requested
-        [Recognizer][google.cloud.speech.v2.Recognizer]. Fails with
-        [NOT_FOUND][google.rpc.Code.NOT_FOUND] if the requested
-        Recognizer doesn't exist.
-
-        Returns:
-            Callable[[~.GetRecognizerRequest],
-                    Awaitable[~.Recognizer]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_recognizer" not in self._stubs:
-            self._stubs["get_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetRecognizer",
-                request_serializer=cloud_speech.GetRecognizerRequest.serialize,
-                response_deserializer=cloud_speech.Recognizer.deserialize,
-            )
-        return self._stubs["get_recognizer"]
-
-    @property
-    def update_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdateRecognizerRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the update recognizer method over gRPC.
-
-        Updates the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.UpdateRecognizerRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_recognizer" not in self._stubs:
-            self._stubs["update_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateRecognizer",
-                request_serializer=cloud_speech.UpdateRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_recognizer"]
-
-    @property
-    def delete_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeleteRecognizerRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the delete recognizer method over gRPC.
-
-        Deletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.DeleteRecognizerRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_recognizer" not in self._stubs:
-            self._stubs["delete_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeleteRecognizer",
-                request_serializer=cloud_speech.DeleteRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_recognizer"]
-
-    @property
-    def undelete_recognizer(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeleteRecognizerRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the undelete recognizer method over gRPC.
-
-        Undeletes the [Recognizer][google.cloud.speech.v2.Recognizer].
-
-        Returns:
-            Callable[[~.UndeleteRecognizerRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_recognizer" not in self._stubs:
-            self._stubs["undelete_recognizer"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeleteRecognizer",
-                request_serializer=cloud_speech.UndeleteRecognizerRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_recognizer"]
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.RecognizeRequest], Awaitable[cloud_speech.RecognizeResponse]
-    ]:
-        r"""Return a callable for the recognize method over gRPC.
-
-        Performs synchronous Speech recognition: receive
-        results after all audio has been sent and processed.
-
-        Returns:
-            Callable[[~.RecognizeRequest],
-                    Awaitable[~.RecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "recognize" not in self._stubs:
-            self._stubs["recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/Recognize",
-                request_serializer=cloud_speech.RecognizeRequest.serialize,
-                response_deserializer=cloud_speech.RecognizeResponse.deserialize,
-            )
-        return self._stubs["recognize"]
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        Awaitable[cloud_speech.StreamingRecognizeResponse],
-    ]:
-        r"""Return a callable for the streaming recognize method over gRPC.
-
-        Performs bidirectional streaming speech recognition:
-        receive results while sending audio. This method is only
-        available via the gRPC API (not REST).
-
-        Returns:
-            Callable[[~.StreamingRecognizeRequest],
-                    Awaitable[~.StreamingRecognizeResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "streaming_recognize" not in self._stubs:
-            self._stubs["streaming_recognize"] = self.grpc_channel.stream_stream(
-                "/google.cloud.speech.v2.Speech/StreamingRecognize",
-                request_serializer=cloud_speech.StreamingRecognizeRequest.serialize,
-                response_deserializer=cloud_speech.StreamingRecognizeResponse.deserialize,
-            )
-        return self._stubs["streaming_recognize"]
-
-    @property
-    def batch_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.BatchRecognizeRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the batch recognize method over gRPC.
-
-        Performs batch asynchronous speech recognition: send
-        a request with N audio files and receive a long running
-        operation that can be polled to see when the
-        transcriptions are finished.
-
-        Returns:
-            Callable[[~.BatchRecognizeRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "batch_recognize" not in self._stubs:
-            self._stubs["batch_recognize"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/BatchRecognize",
-                request_serializer=cloud_speech.BatchRecognizeRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["batch_recognize"]
-
-    @property
-    def get_config(
-        self,
-    ) -> Callable[[cloud_speech.GetConfigRequest], Awaitable[cloud_speech.Config]]:
-        r"""Return a callable for the get config method over gRPC.
-
-        Returns the requested [Config][google.cloud.speech.v2.Config].
-
-        Returns:
-            Callable[[~.GetConfigRequest],
-                    Awaitable[~.Config]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_config" not in self._stubs:
-            self._stubs["get_config"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetConfig",
-                request_serializer=cloud_speech.GetConfigRequest.serialize,
-                response_deserializer=cloud_speech.Config.deserialize,
-            )
-        return self._stubs["get_config"]
-
-    @property
-    def update_config(
-        self,
-    ) -> Callable[[cloud_speech.UpdateConfigRequest], Awaitable[cloud_speech.Config]]:
-        r"""Return a callable for the update config method over gRPC.
-
-        Updates the [Config][google.cloud.speech.v2.Config].
-
-        Returns:
-            Callable[[~.UpdateConfigRequest],
-                    Awaitable[~.Config]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_config" not in self._stubs:
-            self._stubs["update_config"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateConfig",
-                request_serializer=cloud_speech.UpdateConfigRequest.serialize,
-                response_deserializer=cloud_speech.Config.deserialize,
-            )
-        return self._stubs["update_config"]
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreateCustomClassRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the create custom class method over gRPC.
-
-        Creates a [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.CreateCustomClassRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_custom_class" not in self._stubs:
-            self._stubs["create_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreateCustomClass",
-                request_serializer=cloud_speech.CreateCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_custom_class"]
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListCustomClassesRequest],
-        Awaitable[cloud_speech.ListCustomClassesResponse],
-    ]:
-        r"""Return a callable for the list custom classes method over gRPC.
-
-        Lists CustomClasses.
-
-        Returns:
-            Callable[[~.ListCustomClassesRequest],
-                    Awaitable[~.ListCustomClassesResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_custom_classes" not in self._stubs:
-            self._stubs["list_custom_classes"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListCustomClasses",
-                request_serializer=cloud_speech.ListCustomClassesRequest.serialize,
-                response_deserializer=cloud_speech.ListCustomClassesResponse.deserialize,
-            )
-        return self._stubs["list_custom_classes"]
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetCustomClassRequest], Awaitable[cloud_speech.CustomClass]
-    ]:
-        r"""Return a callable for the get custom class method over gRPC.
-
-        Returns the requested
-        [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.GetCustomClassRequest],
-                    Awaitable[~.CustomClass]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_custom_class" not in self._stubs:
-            self._stubs["get_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetCustomClass",
-                request_serializer=cloud_speech.GetCustomClassRequest.serialize,
-                response_deserializer=cloud_speech.CustomClass.deserialize,
-            )
-        return self._stubs["get_custom_class"]
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdateCustomClassRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the update custom class method over gRPC.
-
-        Updates the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.UpdateCustomClassRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_custom_class" not in self._stubs:
-            self._stubs["update_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdateCustomClass",
-                request_serializer=cloud_speech.UpdateCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_custom_class"]
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeleteCustomClassRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the delete custom class method over gRPC.
-
-        Deletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.DeleteCustomClassRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_custom_class" not in self._stubs:
-            self._stubs["delete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeleteCustomClass",
-                request_serializer=cloud_speech.DeleteCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_custom_class"]
-
-    @property
-    def undelete_custom_class(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeleteCustomClassRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the undelete custom class method over gRPC.
-
-        Undeletes the [CustomClass][google.cloud.speech.v2.CustomClass].
-
-        Returns:
-            Callable[[~.UndeleteCustomClassRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_custom_class" not in self._stubs:
-            self._stubs["undelete_custom_class"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeleteCustomClass",
-                request_serializer=cloud_speech.UndeleteCustomClassRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_custom_class"]
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.CreatePhraseSetRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the create phrase set method over gRPC.
-
-        Creates a [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.CreatePhraseSetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "create_phrase_set" not in self._stubs:
-            self._stubs["create_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/CreatePhraseSet",
-                request_serializer=cloud_speech.CreatePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["create_phrase_set"]
-
-    @property
-    def list_phrase_sets(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListPhraseSetsRequest],
-        Awaitable[cloud_speech.ListPhraseSetsResponse],
-    ]:
-        r"""Return a callable for the list phrase sets method over gRPC.
-
-        Lists PhraseSets.
-
-        Returns:
-            Callable[[~.ListPhraseSetsRequest],
-                    Awaitable[~.ListPhraseSetsResponse]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_phrase_sets" not in self._stubs:
-            self._stubs["list_phrase_sets"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/ListPhraseSets",
-                request_serializer=cloud_speech.ListPhraseSetsRequest.serialize,
-                response_deserializer=cloud_speech.ListPhraseSetsResponse.deserialize,
-            )
-        return self._stubs["list_phrase_sets"]
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.GetPhraseSetRequest], Awaitable[cloud_speech.PhraseSet]
-    ]:
-        r"""Return a callable for the get phrase set method over gRPC.
-
-        Returns the requested
-        [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.GetPhraseSetRequest],
-                    Awaitable[~.PhraseSet]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_phrase_set" not in self._stubs:
-            self._stubs["get_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/GetPhraseSet",
-                request_serializer=cloud_speech.GetPhraseSetRequest.serialize,
-                response_deserializer=cloud_speech.PhraseSet.deserialize,
-            )
-        return self._stubs["get_phrase_set"]
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.UpdatePhraseSetRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the update phrase set method over gRPC.
-
-        Updates the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.UpdatePhraseSetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "update_phrase_set" not in self._stubs:
-            self._stubs["update_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UpdatePhraseSet",
-                request_serializer=cloud_speech.UpdatePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["update_phrase_set"]
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.DeletePhraseSetRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the delete phrase set method over gRPC.
-
-        Deletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.DeletePhraseSetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_phrase_set" not in self._stubs:
-            self._stubs["delete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/DeletePhraseSet",
-                request_serializer=cloud_speech.DeletePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["delete_phrase_set"]
-
-    @property
-    def undelete_phrase_set(
-        self,
-    ) -> Callable[
-        [cloud_speech.UndeletePhraseSetRequest], Awaitable[operations_pb2.Operation]
-    ]:
-        r"""Return a callable for the undelete phrase set method over gRPC.
-
-        Undeletes the [PhraseSet][google.cloud.speech.v2.PhraseSet].
-
-        Returns:
-            Callable[[~.UndeletePhraseSetRequest],
-                    Awaitable[~.Operation]]:
-                A function that, when called, will call the underlying RPC
-                on the server.
-        """
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "undelete_phrase_set" not in self._stubs:
-            self._stubs["undelete_phrase_set"] = self.grpc_channel.unary_unary(
-                "/google.cloud.speech.v2.Speech/UndeletePhraseSet",
-                request_serializer=cloud_speech.UndeletePhraseSetRequest.serialize,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["undelete_phrase_set"]
-
-    def close(self):
-        return self.grpc_channel.close()
-
-    @property
-    def delete_operation(
-        self,
-    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
-        r"""Return a callable for the delete_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "delete_operation" not in self._stubs:
-            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/DeleteOperation",
-                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["delete_operation"]
-
-    @property
-    def cancel_operation(
-        self,
-    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
-        r"""Return a callable for the cancel_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "cancel_operation" not in self._stubs:
-            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/CancelOperation",
-                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
-                response_deserializer=None,
-            )
-        return self._stubs["cancel_operation"]
-
-    @property
-    def get_operation(
-        self,
-    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
-        r"""Return a callable for the get_operation method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_operation" not in self._stubs:
-            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/GetOperation",
-                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
-                response_deserializer=operations_pb2.Operation.FromString,
-            )
-        return self._stubs["get_operation"]
-
-    @property
-    def list_operations(
-        self,
-    ) -> Callable[
-        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
-    ]:
-        r"""Return a callable for the list_operations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_operations" not in self._stubs:
-            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
-                "/google.longrunning.Operations/ListOperations",
-                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
-                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
-            )
-        return self._stubs["list_operations"]
-
-    @property
-    def list_locations(
-        self,
-    ) -> Callable[
-        [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse
-    ]:
-        r"""Return a callable for the list locations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "list_locations" not in self._stubs:
-            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/ListLocations",
-                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
-                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
-            )
-        return self._stubs["list_locations"]
-
-    @property
-    def get_location(
-        self,
-    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
-        r"""Return a callable for the list locations method over gRPC."""
-        # Generate a "stub function" on-the-fly which will actually make
-        # the request.
-        # gRPC handles serialization and deserialization, so we just need
-        # to pass in the functions for each.
-        if "get_location" not in self._stubs:
-            self._stubs["get_location"] = self.grpc_channel.unary_unary(
-                "/google.cloud.location.Locations/GetLocation",
-                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
-                response_deserializer=locations_pb2.Location.FromString,
-            )
-        return self._stubs["get_location"]
-
-
-__all__ = ("SpeechGrpcAsyncIOTransport",)
diff --git a/google/cloud/speech_v2/services/speech/transports/rest.py b/google/cloud/speech_v2/services/speech/transports/rest.py
deleted file mode 100644
index 79ab1ff7..00000000
--- a/google/cloud/speech_v2/services/speech/transports/rest.py
+++ /dev/null
@@ -1,3775 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-from google.auth.transport.requests import AuthorizedSession  # type: ignore
-import json  # type: ignore
-import grpc  # type: ignore
-from google.auth.transport.grpc import SslCredentials  # type: ignore
-from google.auth import credentials as ga_credentials  # type: ignore
-from google.api_core import exceptions as core_exceptions
-from google.api_core import retry as retries
-from google.api_core import rest_helpers
-from google.api_core import rest_streaming
-from google.api_core import path_template
-from google.api_core import gapic_v1
-
-from google.protobuf import json_format
-from google.api_core import operations_v1
-from google.cloud.location import locations_pb2  # type: ignore
-from requests import __version__ as requests_version
-import dataclasses
-import re
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
-import warnings
-
-try:
-    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
-except AttributeError:  # pragma: NO COVER
-    OptionalRetry = Union[retries.Retry, object]  # type: ignore
-
-
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-
-from .base import SpeechTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO
-
-
-DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
-    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
-    grpc_version=None,
-    rest_version=requests_version,
-)
-
-
-class SpeechRestInterceptor:
-    """Interceptor for Speech.
-
-    Interceptors are used to manipulate requests, request metadata, and responses
-    in arbitrary ways.
-    Example use cases include:
-    * Logging
-    * Verifying requests according to service or custom semantics
-    * Stripping extraneous information from responses
-
-    These use cases and more can be enabled by injecting an
-    instance of a custom subclass when constructing the SpeechRestTransport.
-
-    .. code-block:: python
-        class MyCustomSpeechInterceptor(SpeechRestInterceptor):
-            def pre_batch_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_batch_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_create_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_create_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_create_recognizer(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_create_recognizer(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_delete_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_delete_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_delete_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_delete_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_delete_recognizer(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_delete_recognizer(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_config(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_config(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_get_recognizer(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_get_recognizer(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_custom_classes(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_custom_classes(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_phrase_sets(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_phrase_sets(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_list_recognizers(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_list_recognizers(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_recognize(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_recognize(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_undelete_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_undelete_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_undelete_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_undelete_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_undelete_recognizer(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_undelete_recognizer(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_config(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_config(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_custom_class(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_custom_class(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_phrase_set(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_phrase_set(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-            def pre_update_recognizer(self, request, metadata):
-                logging.log(f"Received request: {request}")
-                return request, metadata
-
-            def post_update_recognizer(self, response):
-                logging.log(f"Received response: {response}")
-                return response
-
-        transport = SpeechRestTransport(interceptor=MyCustomSpeechInterceptor())
-        client = SpeechClient(transport=transport)
-
-
-    """
-
-    def pre_batch_recognize(
-        self,
-        request: cloud_speech.BatchRecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.BatchRecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for batch_recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_batch_recognize(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for batch_recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_create_custom_class(
-        self,
-        request: cloud_speech.CreateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.CreateCustomClassRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_create_custom_class(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for create_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_create_phrase_set(
-        self,
-        request: cloud_speech.CreatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.CreatePhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_create_phrase_set(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for create_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_create_recognizer(
-        self,
-        request: cloud_speech.CreateRecognizerRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.CreateRecognizerRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for create_recognizer
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_create_recognizer(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for create_recognizer
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_custom_class(
-        self,
-        request: cloud_speech.DeleteCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.DeleteCustomClassRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for delete_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_delete_custom_class(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for delete_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_phrase_set(
-        self,
-        request: cloud_speech.DeletePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.DeletePhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for delete_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_delete_phrase_set(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for delete_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_recognizer(
-        self,
-        request: cloud_speech.DeleteRecognizerRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.DeleteRecognizerRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for delete_recognizer
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_delete_recognizer(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for delete_recognizer
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_config(
-        self,
-        request: cloud_speech.GetConfigRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.GetConfigRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_config
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_config(self, response: cloud_speech.Config) -> cloud_speech.Config:
-        """Post-rpc interceptor for get_config
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_custom_class(
-        self,
-        request: cloud_speech.GetCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.GetCustomClassRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_custom_class(
-        self, response: cloud_speech.CustomClass
-    ) -> cloud_speech.CustomClass:
-        """Post-rpc interceptor for get_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_phrase_set(
-        self,
-        request: cloud_speech.GetPhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.GetPhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_phrase_set(
-        self, response: cloud_speech.PhraseSet
-    ) -> cloud_speech.PhraseSet:
-        """Post-rpc interceptor for get_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_recognizer(
-        self,
-        request: cloud_speech.GetRecognizerRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.GetRecognizerRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_recognizer
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_recognizer(
-        self, response: cloud_speech.Recognizer
-    ) -> cloud_speech.Recognizer:
-        """Post-rpc interceptor for get_recognizer
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_custom_classes(
-        self,
-        request: cloud_speech.ListCustomClassesRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.ListCustomClassesRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_custom_classes(
-        self, response: cloud_speech.ListCustomClassesResponse
-    ) -> cloud_speech.ListCustomClassesResponse:
-        """Post-rpc interceptor for list_custom_classes
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_phrase_sets(
-        self,
-        request: cloud_speech.ListPhraseSetsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.ListPhraseSetsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_phrase_sets
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_phrase_sets(
-        self, response: cloud_speech.ListPhraseSetsResponse
-    ) -> cloud_speech.ListPhraseSetsResponse:
-        """Post-rpc interceptor for list_phrase_sets
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_recognizers(
-        self,
-        request: cloud_speech.ListRecognizersRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.ListRecognizersRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_recognizers
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_recognizers(
-        self, response: cloud_speech.ListRecognizersResponse
-    ) -> cloud_speech.ListRecognizersResponse:
-        """Post-rpc interceptor for list_recognizers
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_recognize(
-        self,
-        request: cloud_speech.RecognizeRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.RecognizeRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_recognize(
-        self, response: cloud_speech.RecognizeResponse
-    ) -> cloud_speech.RecognizeResponse:
-        """Post-rpc interceptor for recognize
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_undelete_custom_class(
-        self,
-        request: cloud_speech.UndeleteCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UndeleteCustomClassRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for undelete_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_undelete_custom_class(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for undelete_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_undelete_phrase_set(
-        self,
-        request: cloud_speech.UndeletePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UndeletePhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for undelete_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_undelete_phrase_set(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for undelete_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_undelete_recognizer(
-        self,
-        request: cloud_speech.UndeleteRecognizerRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UndeleteRecognizerRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for undelete_recognizer
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_undelete_recognizer(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for undelete_recognizer
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_config(
-        self,
-        request: cloud_speech.UpdateConfigRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UpdateConfigRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for update_config
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_update_config(self, response: cloud_speech.Config) -> cloud_speech.Config:
-        """Post-rpc interceptor for update_config
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_custom_class(
-        self,
-        request: cloud_speech.UpdateCustomClassRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UpdateCustomClassRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_update_custom_class(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for update_custom_class
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_phrase_set(
-        self,
-        request: cloud_speech.UpdatePhraseSetRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UpdatePhraseSetRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_update_phrase_set(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for update_phrase_set
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_update_recognizer(
-        self,
-        request: cloud_speech.UpdateRecognizerRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[cloud_speech.UpdateRecognizerRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for update_recognizer
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_update_recognizer(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for update_recognizer
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_location(
-        self,
-        request: locations_pb2.GetLocationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[locations_pb2.GetLocationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_location
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_location(
-        self, response: locations_pb2.Location
-    ) -> locations_pb2.Location:
-        """Post-rpc interceptor for get_location
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_locations(
-        self,
-        request: locations_pb2.ListLocationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[locations_pb2.ListLocationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_locations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_locations(
-        self, response: locations_pb2.ListLocationsResponse
-    ) -> locations_pb2.ListLocationsResponse:
-        """Post-rpc interceptor for list_locations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_cancel_operation(
-        self,
-        request: operations_pb2.CancelOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.CancelOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for cancel_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_cancel_operation(self, response: None) -> None:
-        """Post-rpc interceptor for cancel_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_delete_operation(
-        self,
-        request: operations_pb2.DeleteOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for delete_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_delete_operation(self, response: None) -> None:
-        """Post-rpc interceptor for delete_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_get_operation(
-        self,
-        request: operations_pb2.GetOperationRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_get_operation(
-        self, response: operations_pb2.Operation
-    ) -> operations_pb2.Operation:
-        """Post-rpc interceptor for get_operation
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-    def pre_list_operations(
-        self,
-        request: operations_pb2.ListOperationsRequest,
-        metadata: Sequence[Tuple[str, str]],
-    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
-        """Pre-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the request or metadata
-        before they are sent to the Speech server.
-        """
-        return request, metadata
-
-    def post_list_operations(
-        self, response: operations_pb2.ListOperationsResponse
-    ) -> operations_pb2.ListOperationsResponse:
-        """Post-rpc interceptor for list_operations
-
-        Override in a subclass to manipulate the response
-        after it is returned by the Speech server but before
-        it is returned to user code.
-        """
-        return response
-
-
-@dataclasses.dataclass
-class SpeechRestStub:
-    _session: AuthorizedSession
-    _host: str
-    _interceptor: SpeechRestInterceptor
-
-
-class SpeechRestTransport(SpeechTransport):
-    """REST backend transport for Speech.
-
-    Enables speech transcription and resource management.
-
-    This class defines the same methods as the primary client, so the
-    primary client can load the underlying transport implementation
-    and call it.
-
-    It sends JSON representations of protocol buffers over HTTP/1.1
-
-    """
-
-    def __init__(
-        self,
-        *,
-        host: str = "speech.googleapis.com",
-        credentials: Optional[ga_credentials.Credentials] = None,
-        credentials_file: Optional[str] = None,
-        scopes: Optional[Sequence[str]] = None,
-        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
-        quota_project_id: Optional[str] = None,
-        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
-        always_use_jwt_access: Optional[bool] = False,
-        url_scheme: str = "https",
-        interceptor: Optional[SpeechRestInterceptor] = None,
-        api_audience: Optional[str] = None,
-    ) -> None:
-        """Instantiate the transport.
-
-        Args:
-            host (Optional[str]):
-                 The hostname to connect to.
-            credentials (Optional[google.auth.credentials.Credentials]): The
-                authorization credentials to attach to requests. These
-                credentials identify the application to the service; if none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-
-            credentials_file (Optional[str]): A file with credentials that can
-                be loaded with :func:`google.auth.load_credentials_from_file`.
-                This argument is ignored if ``channel`` is provided.
-            scopes (Optional(Sequence[str])): A list of scopes. This argument is
-                ignored if ``channel`` is provided.
-            client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client
-                certificate to configure mutual TLS HTTP channel. It is ignored
-                if ``channel`` is provided.
-            quota_project_id (Optional[str]): An optional project to use for billing
-                and quota.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you are developing
-                your own client library.
-            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
-                be used for service account credentials.
-            url_scheme: the protocol scheme for the API endpoint.  Normally
-                "https", but for testing or local servers,
-                "http" can be specified.
-        """
-        # Run the base constructor
-        # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc.
-        # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the
-        # credentials object
-        maybe_url_match = re.match("^(?P<scheme>http(?:s)?://)?(?P<host>.*)$", host)
-        if maybe_url_match is None:
-            raise ValueError(
-                f"Unexpected hostname structure: {host}"
-            )  # pragma: NO COVER
-
-        url_match_items = maybe_url_match.groupdict()
-
-        host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host
-
-        super().__init__(
-            host=host,
-            credentials=credentials,
-            client_info=client_info,
-            always_use_jwt_access=always_use_jwt_access,
-            api_audience=api_audience,
-        )
-        self._session = AuthorizedSession(
-            self._credentials, default_host=self.DEFAULT_HOST
-        )
-        self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None
-        if client_cert_source_for_mtls:
-            self._session.configure_mtls_channel(client_cert_source_for_mtls)
-        self._interceptor = interceptor or SpeechRestInterceptor()
-        self._prep_wrapped_messages(client_info)
-
-    @property
-    def operations_client(self) -> operations_v1.AbstractOperationsClient:
-        """Create the client designed to process long-running operations.
-
-        This property caches on the instance; repeated calls return the same
-        client.
-        """
-        # Only create a new client if we do not already have one.
-        if self._operations_client is None:
-            http_options: Dict[str, List[Dict[str, str]]] = {
-                "google.longrunning.Operations.CancelOperation": [
-                    {
-                        "method": "post",
-                        "uri": "/v2/{name=projects/*/locations/*/operations/*}:cancel",
-                        "body": "*",
-                    },
-                ],
-                "google.longrunning.Operations.DeleteOperation": [
-                    {
-                        "method": "delete",
-                        "uri": "/v2/{name=projects/*/locations/*/operations/*}",
-                    },
-                ],
-                "google.longrunning.Operations.GetOperation": [
-                    {
-                        "method": "get",
-                        "uri": "/v2/{name=projects/*/locations/*/operations/*}",
-                    },
-                ],
-                "google.longrunning.Operations.ListOperations": [
-                    {
-                        "method": "get",
-                        "uri": "/v2/{name=projects/*/locations/*}/operations",
-                    },
-                ],
-            }
-
-            rest_transport = operations_v1.OperationsRestTransport(
-                host=self._host,
-                # use the credentials which are saved
-                credentials=self._credentials,
-                scopes=self._scopes,
-                http_options=http_options,
-                path_prefix="v2",
-            )
-
-            self._operations_client = operations_v1.AbstractOperationsClient(
-                transport=rest_transport
-            )
-
-        # Return the client from cache.
-        return self._operations_client
-
-    class _BatchRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("BatchRecognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.BatchRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the batch recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.BatchRecognizeRequest):
-                    The request object. Request message for the
-                [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{recognizer=projects/*/locations/*/recognizers/*}:batchRecognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_batch_recognize(request, metadata)
-            pb_request = cloud_speech.BatchRecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_batch_recognize(resp)
-            return resp
-
-    class _CreateCustomClass(SpeechRestStub):
-        def __hash__(self):
-            return hash("CreateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.CreateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the create custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech.CreateCustomClassRequest):
-                    The request object. Request message for the
-                [CreateCustomClass][google.cloud.speech.v2.Speech.CreateCustomClass]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{parent=projects/*/locations/*}/customClasses",
-                    "body": "custom_class",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech.CreateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_custom_class(resp)
-            return resp
-
-    class _CreatePhraseSet(SpeechRestStub):
-        def __hash__(self):
-            return hash("CreatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.CreatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the create phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech.CreatePhraseSetRequest):
-                    The request object. Request message for the
-                [CreatePhraseSet][google.cloud.speech.v2.Speech.CreatePhraseSet]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{parent=projects/*/locations/*}/phraseSets",
-                    "body": "phrase_set",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech.CreatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_phrase_set(resp)
-            return resp
-
-    class _CreateRecognizer(SpeechRestStub):
-        def __hash__(self):
-            return hash("CreateRecognizer")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.CreateRecognizerRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the create recognizer method over HTTP.
-
-            Args:
-                request (~.cloud_speech.CreateRecognizerRequest):
-                    The request object. Request message for the
-                [CreateRecognizer][google.cloud.speech.v2.Speech.CreateRecognizer]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{parent=projects/*/locations/*}/recognizers",
-                    "body": "recognizer",
-                },
-            ]
-            request, metadata = self._interceptor.pre_create_recognizer(
-                request, metadata
-            )
-            pb_request = cloud_speech.CreateRecognizerRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_create_recognizer(resp)
-            return resp
-
-    class _DeleteCustomClass(SpeechRestStub):
-        def __hash__(self):
-            return hash("DeleteCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.DeleteCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the delete custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech.DeleteCustomClassRequest):
-                    The request object. Request message for the
-                [DeleteCustomClass][google.cloud.speech.v2.Speech.DeleteCustomClass]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v2/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech.DeleteCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_delete_custom_class(resp)
-            return resp
-
-    class _DeletePhraseSet(SpeechRestStub):
-        def __hash__(self):
-            return hash("DeletePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.DeletePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the delete phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech.DeletePhraseSetRequest):
-                    The request object. Request message for the
-                [DeletePhraseSet][google.cloud.speech.v2.Speech.DeletePhraseSet]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v2/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech.DeletePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_delete_phrase_set(resp)
-            return resp
-
-    class _DeleteRecognizer(SpeechRestStub):
-        def __hash__(self):
-            return hash("DeleteRecognizer")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.DeleteRecognizerRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the delete recognizer method over HTTP.
-
-            Args:
-                request (~.cloud_speech.DeleteRecognizerRequest):
-                    The request object. Request message for the
-                [DeleteRecognizer][google.cloud.speech.v2.Speech.DeleteRecognizer]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v2/{name=projects/*/locations/*/recognizers/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_delete_recognizer(
-                request, metadata
-            )
-            pb_request = cloud_speech.DeleteRecognizerRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_delete_recognizer(resp)
-            return resp
-
-    class _GetConfig(SpeechRestStub):
-        def __hash__(self):
-            return hash("GetConfig")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.GetConfigRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.Config:
-            r"""Call the get config method over HTTP.
-
-            Args:
-                request (~.cloud_speech.GetConfigRequest):
-                    The request object. Request message for the
-                [GetConfig][google.cloud.speech.v2.Speech.GetConfig]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.Config:
-                    Message representing the config for the Speech-to-Text
-                API. This includes an optional `KMS
-                key <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-                with which incoming data will be encrypted.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*/config}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_config(request, metadata)
-            pb_request = cloud_speech.GetConfigRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.Config()
-            pb_resp = cloud_speech.Config.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_config(resp)
-            return resp
-
-    class _GetCustomClass(SpeechRestStub):
-        def __hash__(self):
-            return hash("GetCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.GetCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.CustomClass:
-            r"""Call the get custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech.GetCustomClassRequest):
-                    The request object. Request message for the
-                [GetCustomClass][google.cloud.speech.v2.Speech.GetCustomClass]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.CustomClass:
-                    CustomClass for biasing in speech
-                recognition. Used to define a set of
-                words or phrases that represents a
-                common concept or theme likely to appear
-                in your audio, for example a list of
-                passenger ship names.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*/customClasses/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech.GetCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.CustomClass()
-            pb_resp = cloud_speech.CustomClass.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_custom_class(resp)
-            return resp
-
-    class _GetPhraseSet(SpeechRestStub):
-        def __hash__(self):
-            return hash("GetPhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.GetPhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.PhraseSet:
-            r"""Call the get phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech.GetPhraseSetRequest):
-                    The request object. Request message for the
-                [GetPhraseSet][google.cloud.speech.v2.Speech.GetPhraseSet]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.PhraseSet:
-                    PhraseSet for biasing in speech
-                recognition. A PhraseSet is used to
-                provide "hints" to the speech recognizer
-                to favor specific words and phrases in
-                the results.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*/phraseSets/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_phrase_set(request, metadata)
-            pb_request = cloud_speech.GetPhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.PhraseSet()
-            pb_resp = cloud_speech.PhraseSet.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_phrase_set(resp)
-            return resp
-
-    class _GetRecognizer(SpeechRestStub):
-        def __hash__(self):
-            return hash("GetRecognizer")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.GetRecognizerRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.Recognizer:
-            r"""Call the get recognizer method over HTTP.
-
-            Args:
-                request (~.cloud_speech.GetRecognizerRequest):
-                    The request object. Request message for the
-                [GetRecognizer][google.cloud.speech.v2.Speech.GetRecognizer]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.Recognizer:
-                    A Recognizer message. Stores
-                recognition configuration and metadata.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*/recognizers/*}",
-                },
-            ]
-            request, metadata = self._interceptor.pre_get_recognizer(request, metadata)
-            pb_request = cloud_speech.GetRecognizerRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.Recognizer()
-            pb_resp = cloud_speech.Recognizer.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_get_recognizer(resp)
-            return resp
-
-    class _ListCustomClasses(SpeechRestStub):
-        def __hash__(self):
-            return hash("ListCustomClasses")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.ListCustomClassesRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.ListCustomClassesResponse:
-            r"""Call the list custom classes method over HTTP.
-
-            Args:
-                request (~.cloud_speech.ListCustomClassesRequest):
-                    The request object. Request message for the
-                [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.ListCustomClassesResponse:
-                    Response message for the
-                [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{parent=projects/*/locations/*}/customClasses",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_custom_classes(
-                request, metadata
-            )
-            pb_request = cloud_speech.ListCustomClassesRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.ListCustomClassesResponse()
-            pb_resp = cloud_speech.ListCustomClassesResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_custom_classes(resp)
-            return resp
-
-    class _ListPhraseSets(SpeechRestStub):
-        def __hash__(self):
-            return hash("ListPhraseSets")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.ListPhraseSetsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.ListPhraseSetsResponse:
-            r"""Call the list phrase sets method over HTTP.
-
-            Args:
-                request (~.cloud_speech.ListPhraseSetsRequest):
-                    The request object. Request message for the
-                [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.ListPhraseSetsResponse:
-                    Response message for the
-                [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{parent=projects/*/locations/*}/phraseSets",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_phrase_sets(
-                request, metadata
-            )
-            pb_request = cloud_speech.ListPhraseSetsRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.ListPhraseSetsResponse()
-            pb_resp = cloud_speech.ListPhraseSetsResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_phrase_sets(resp)
-            return resp
-
-    class _ListRecognizers(SpeechRestStub):
-        def __hash__(self):
-            return hash("ListRecognizers")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.ListRecognizersRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.ListRecognizersResponse:
-            r"""Call the list recognizers method over HTTP.
-
-            Args:
-                request (~.cloud_speech.ListRecognizersRequest):
-                    The request object. Request message for the
-                [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.ListRecognizersResponse:
-                    Response message for the
-                [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{parent=projects/*/locations/*}/recognizers",
-                },
-            ]
-            request, metadata = self._interceptor.pre_list_recognizers(
-                request, metadata
-            )
-            pb_request = cloud_speech.ListRecognizersRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.ListRecognizersResponse()
-            pb_resp = cloud_speech.ListRecognizersResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_list_recognizers(resp)
-            return resp
-
-    class _Recognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("Recognize")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.RecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.RecognizeResponse:
-            r"""Call the recognize method over HTTP.
-
-            Args:
-                request (~.cloud_speech.RecognizeRequest):
-                    The request object. Request message for the
-                [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                method. Either ``content`` or ``uri`` must be supplied.
-                Supplying both or neither returns
-                [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT].
-                See `content
-                limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.RecognizeResponse:
-                    Response message for the
-                [Recognize][google.cloud.speech.v2.Speech.Recognize]
-                method.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{recognizer=projects/*/locations/*/recognizers/*}:recognize",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_recognize(request, metadata)
-            pb_request = cloud_speech.RecognizeRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.RecognizeResponse()
-            pb_resp = cloud_speech.RecognizeResponse.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_recognize(resp)
-            return resp
-
-    class _StreamingRecognize(SpeechRestStub):
-        def __hash__(self):
-            return hash("StreamingRecognize")
-
-        def __call__(
-            self,
-            request: cloud_speech.StreamingRecognizeRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> rest_streaming.ResponseIterator:
-            raise NotImplementedError(
-                "Method StreamingRecognize is not available over REST transport"
-            )
-
-    class _UndeleteCustomClass(SpeechRestStub):
-        def __hash__(self):
-            return hash("UndeleteCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UndeleteCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the undelete custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UndeleteCustomClassRequest):
-                    The request object. Request message for the
-                [UndeleteCustomClass][google.cloud.speech.v2.Speech.UndeleteCustomClass]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{name=projects/*/locations/*/customClasses/*}:undelete",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_undelete_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech.UndeleteCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_undelete_custom_class(resp)
-            return resp
-
-    class _UndeletePhraseSet(SpeechRestStub):
-        def __hash__(self):
-            return hash("UndeletePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UndeletePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the undelete phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UndeletePhraseSetRequest):
-                    The request object. Request message for the
-                [UndeletePhraseSet][google.cloud.speech.v2.Speech.UndeletePhraseSet]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{name=projects/*/locations/*/phraseSets/*}:undelete",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_undelete_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech.UndeletePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_undelete_phrase_set(resp)
-            return resp
-
-    class _UndeleteRecognizer(SpeechRestStub):
-        def __hash__(self):
-            return hash("UndeleteRecognizer")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UndeleteRecognizerRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the undelete recognizer method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UndeleteRecognizerRequest):
-                    The request object. Request message for the
-                [UndeleteRecognizer][google.cloud.speech.v2.Speech.UndeleteRecognizer]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{name=projects/*/locations/*/recognizers/*}:undelete",
-                    "body": "*",
-                },
-            ]
-            request, metadata = self._interceptor.pre_undelete_recognizer(
-                request, metadata
-            )
-            pb_request = cloud_speech.UndeleteRecognizerRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_undelete_recognizer(resp)
-            return resp
-
-    class _UpdateConfig(SpeechRestStub):
-        def __hash__(self):
-            return hash("UpdateConfig")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UpdateConfigRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> cloud_speech.Config:
-            r"""Call the update config method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UpdateConfigRequest):
-                    The request object. Request message for the
-                [UpdateConfig][google.cloud.speech.v2.Speech.UpdateConfig]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.cloud_speech.Config:
-                    Message representing the config for the Speech-to-Text
-                API. This includes an optional `KMS
-                key <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-                with which incoming data will be encrypted.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v2/{config.name=projects/*/locations/*/config}",
-                    "body": "config",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_config(request, metadata)
-            pb_request = cloud_speech.UpdateConfigRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = cloud_speech.Config()
-            pb_resp = cloud_speech.Config.pb(resp)
-
-            json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_config(resp)
-            return resp
-
-    class _UpdateCustomClass(SpeechRestStub):
-        def __hash__(self):
-            return hash("UpdateCustomClass")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UpdateCustomClassRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the update custom class method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UpdateCustomClassRequest):
-                    The request object. Request message for the
-                [UpdateCustomClass][google.cloud.speech.v2.Speech.UpdateCustomClass]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v2/{custom_class.name=projects/*/locations/*/customClasses/*}",
-                    "body": "custom_class",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_custom_class(
-                request, metadata
-            )
-            pb_request = cloud_speech.UpdateCustomClassRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_custom_class(resp)
-            return resp
-
-    class _UpdatePhraseSet(SpeechRestStub):
-        def __hash__(self):
-            return hash("UpdatePhraseSet")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UpdatePhraseSetRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the update phrase set method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UpdatePhraseSetRequest):
-                    The request object. Request message for the
-                [UpdatePhraseSet][google.cloud.speech.v2.Speech.UpdatePhraseSet]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v2/{phrase_set.name=projects/*/locations/*/phraseSets/*}",
-                    "body": "phrase_set",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_phrase_set(
-                request, metadata
-            )
-            pb_request = cloud_speech.UpdatePhraseSetRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_phrase_set(resp)
-            return resp
-
-    class _UpdateRecognizer(SpeechRestStub):
-        def __hash__(self):
-            return hash("UpdateRecognizer")
-
-        __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {}
-
-        @classmethod
-        def _get_unset_required_fields(cls, message_dict):
-            return {
-                k: v
-                for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items()
-                if k not in message_dict
-            }
-
-        def __call__(
-            self,
-            request: cloud_speech.UpdateRecognizerRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the update recognizer method over HTTP.
-
-            Args:
-                request (~.cloud_speech.UpdateRecognizerRequest):
-                    The request object. Request message for the
-                [UpdateRecognizer][google.cloud.speech.v2.Speech.UpdateRecognizer]
-                method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                ~.operations_pb2.Operation:
-                    This resource represents a
-                long-running operation that is the
-                result of a network API call.
-
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "patch",
-                    "uri": "/v2/{recognizer.name=projects/*/locations/*/recognizers/*}",
-                    "body": "recognizer",
-                },
-            ]
-            request, metadata = self._interceptor.pre_update_recognizer(
-                request, metadata
-            )
-            pb_request = cloud_speech.UpdateRecognizerRequest.pb(request)
-            transcoded_request = path_template.transcode(http_options, pb_request)
-
-            # Jsonify the request body
-
-            body = json_format.MessageToJson(
-                transcoded_request["body"],
-                including_default_value_fields=False,
-                use_integers_for_enums=True,
-            )
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(
-                json_format.MessageToJson(
-                    transcoded_request["query_params"],
-                    including_default_value_fields=False,
-                    use_integers_for_enums=True,
-                )
-            )
-            query_params.update(self._get_unset_required_fields(query_params))
-
-            query_params["$alt"] = "json;enum-encoding=int"
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params, strict=True),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            # Return the response
-            resp = operations_pb2.Operation()
-            json_format.Parse(response.content, resp, ignore_unknown_fields=True)
-            resp = self._interceptor.post_update_recognizer(resp)
-            return resp
-
-    @property
-    def batch_recognize(
-        self,
-    ) -> Callable[[cloud_speech.BatchRecognizeRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._BatchRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def create_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.CreateCustomClassRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def create_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.CreatePhraseSetRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def create_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.CreateRecognizerRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._CreateRecognizer(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.DeleteCustomClassRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeleteCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.DeletePhraseSetRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeletePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def delete_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.DeleteRecognizerRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._DeleteRecognizer(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_config(
-        self,
-    ) -> Callable[[cloud_speech.GetConfigRequest], cloud_speech.Config]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetConfig(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.GetCustomClassRequest], cloud_speech.CustomClass]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.GetPhraseSetRequest], cloud_speech.PhraseSet]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetPhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.GetRecognizerRequest], cloud_speech.Recognizer]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._GetRecognizer(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_custom_classes(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListCustomClassesRequest], cloud_speech.ListCustomClassesResponse
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListCustomClasses(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_phrase_sets(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListPhraseSetsRequest], cloud_speech.ListPhraseSetsResponse
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListPhraseSets(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def list_recognizers(
-        self,
-    ) -> Callable[
-        [cloud_speech.ListRecognizersRequest], cloud_speech.ListRecognizersResponse
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._ListRecognizers(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def recognize(
-        self,
-    ) -> Callable[[cloud_speech.RecognizeRequest], cloud_speech.RecognizeResponse]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._Recognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def streaming_recognize(
-        self,
-    ) -> Callable[
-        [cloud_speech.StreamingRecognizeRequest],
-        cloud_speech.StreamingRecognizeResponse,
-    ]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._StreamingRecognize(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def undelete_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.UndeleteCustomClassRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UndeleteCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def undelete_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.UndeletePhraseSetRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UndeletePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def undelete_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.UndeleteRecognizerRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UndeleteRecognizer(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_config(
-        self,
-    ) -> Callable[[cloud_speech.UpdateConfigRequest], cloud_speech.Config]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdateConfig(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_custom_class(
-        self,
-    ) -> Callable[[cloud_speech.UpdateCustomClassRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdateCustomClass(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_phrase_set(
-        self,
-    ) -> Callable[[cloud_speech.UpdatePhraseSetRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdatePhraseSet(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def update_recognizer(
-        self,
-    ) -> Callable[[cloud_speech.UpdateRecognizerRequest], operations_pb2.Operation]:
-        # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here.
-        # In C++ this would require a dynamic_cast
-        return self._UpdateRecognizer(self._session, self._host, self._interceptor)  # type: ignore
-
-    @property
-    def get_location(self):
-        return self._GetLocation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetLocation(SpeechRestStub):
-        def __call__(
-            self,
-            request: locations_pb2.GetLocationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> locations_pb2.Location:
-            r"""Call the get location method over HTTP.
-
-            Args:
-                request (locations_pb2.GetLocationRequest):
-                    The request object for GetLocation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                locations_pb2.Location: Response from GetLocation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_location(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = locations_pb2.Location()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_location(resp)
-            return resp
-
-    @property
-    def list_locations(self):
-        return self._ListLocations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListLocations(SpeechRestStub):
-        def __call__(
-            self,
-            request: locations_pb2.ListLocationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> locations_pb2.ListLocationsResponse:
-            r"""Call the list locations method over HTTP.
-
-            Args:
-                request (locations_pb2.ListLocationsRequest):
-                    The request object for ListLocations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                locations_pb2.ListLocationsResponse: Response from ListLocations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*}/locations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_locations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = locations_pb2.ListLocationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_locations(resp)
-            return resp
-
-    @property
-    def cancel_operation(self):
-        return self._CancelOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _CancelOperation(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.CancelOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> None:
-            r"""Call the cancel operation method over HTTP.
-
-            Args:
-                request (operations_pb2.CancelOperationRequest):
-                    The request object for CancelOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "post",
-                    "uri": "/v2/{name=projects/*/locations/*/operations/*}:cancel",
-                    "body": "*",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_cancel_operation(
-                request, metadata
-            )
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            body = json.dumps(transcoded_request["body"])
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-                data=body,
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            return self._interceptor.post_cancel_operation(None)
-
-    @property
-    def delete_operation(self):
-        return self._DeleteOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _DeleteOperation(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.DeleteOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> None:
-            r"""Call the delete operation method over HTTP.
-
-            Args:
-                request (operations_pb2.DeleteOperationRequest):
-                    The request object for DeleteOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "delete",
-                    "uri": "/v2/{name=projects/*/locations/*/operations/*}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_delete_operation(
-                request, metadata
-            )
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            return self._interceptor.post_delete_operation(None)
-
-    @property
-    def get_operation(self):
-        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _GetOperation(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.GetOperationRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.Operation:
-            r"""Call the get operation method over HTTP.
-
-            Args:
-                request (operations_pb2.GetOperationRequest):
-                    The request object for GetOperation method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.Operation: Response from GetOperation method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*/operations/*}",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_get_operation(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.Operation()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_get_operation(resp)
-            return resp
-
-    @property
-    def list_operations(self):
-        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore
-
-    class _ListOperations(SpeechRestStub):
-        def __call__(
-            self,
-            request: operations_pb2.ListOperationsRequest,
-            *,
-            retry: OptionalRetry = gapic_v1.method.DEFAULT,
-            timeout: Optional[float] = None,
-            metadata: Sequence[Tuple[str, str]] = (),
-        ) -> operations_pb2.ListOperationsResponse:
-            r"""Call the list operations method over HTTP.
-
-            Args:
-                request (operations_pb2.ListOperationsRequest):
-                    The request object for ListOperations method.
-                retry (google.api_core.retry.Retry): Designation of what errors, if any,
-                    should be retried.
-                timeout (float): The timeout for this request.
-                metadata (Sequence[Tuple[str, str]]): Strings which should be
-                    sent along with the request as metadata.
-
-            Returns:
-                operations_pb2.ListOperationsResponse: Response from ListOperations method.
-            """
-
-            http_options: List[Dict[str, str]] = [
-                {
-                    "method": "get",
-                    "uri": "/v2/{name=projects/*/locations/*}/operations",
-                },
-            ]
-
-            request, metadata = self._interceptor.pre_list_operations(request, metadata)
-            request_kwargs = json_format.MessageToDict(request)
-            transcoded_request = path_template.transcode(http_options, **request_kwargs)
-
-            uri = transcoded_request["uri"]
-            method = transcoded_request["method"]
-
-            # Jsonify the query params
-            query_params = json.loads(json.dumps(transcoded_request["query_params"]))
-
-            # Send the request
-            headers = dict(metadata)
-            headers["Content-Type"] = "application/json"
-
-            response = getattr(self._session, method)(
-                "{host}{uri}".format(host=self._host, uri=uri),
-                timeout=timeout,
-                headers=headers,
-                params=rest_helpers.flatten_query_params(query_params),
-            )
-
-            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
-            # subclass.
-            if response.status_code >= 400:
-                raise core_exceptions.from_http_response(response)
-
-            resp = operations_pb2.ListOperationsResponse()
-            resp = json_format.Parse(response.content.decode("utf-8"), resp)
-            resp = self._interceptor.post_list_operations(resp)
-            return resp
-
-    @property
-    def kind(self) -> str:
-        return "rest"
-
-    def close(self):
-        self._session.close()
-
-
-__all__ = ("SpeechRestTransport",)
diff --git a/google/cloud/speech_v2/types/__init__.py b/google/cloud/speech_v2/types/__init__.py
deleted file mode 100644
index b6d098a6..00000000
--- a/google/cloud/speech_v2/types/__init__.py
+++ /dev/null
@@ -1,130 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from .cloud_speech import (
-    AutoDetectDecodingConfig,
-    BatchRecognizeFileMetadata,
-    BatchRecognizeFileResult,
-    BatchRecognizeMetadata,
-    BatchRecognizeRequest,
-    BatchRecognizeResponse,
-    BatchRecognizeResults,
-    BatchRecognizeTranscriptionMetadata,
-    Config,
-    CreateCustomClassRequest,
-    CreatePhraseSetRequest,
-    CreateRecognizerRequest,
-    CustomClass,
-    DeleteCustomClassRequest,
-    DeletePhraseSetRequest,
-    DeleteRecognizerRequest,
-    ExplicitDecodingConfig,
-    GcsOutputConfig,
-    GetConfigRequest,
-    GetCustomClassRequest,
-    GetPhraseSetRequest,
-    GetRecognizerRequest,
-    InlineOutputConfig,
-    ListCustomClassesRequest,
-    ListCustomClassesResponse,
-    ListPhraseSetsRequest,
-    ListPhraseSetsResponse,
-    ListRecognizersRequest,
-    ListRecognizersResponse,
-    OperationMetadata,
-    PhraseSet,
-    RecognitionConfig,
-    RecognitionFeatures,
-    RecognitionOutputConfig,
-    RecognitionResponseMetadata,
-    Recognizer,
-    RecognizeRequest,
-    RecognizeResponse,
-    SpeakerDiarizationConfig,
-    SpeechAdaptation,
-    SpeechRecognitionAlternative,
-    SpeechRecognitionResult,
-    StreamingRecognitionConfig,
-    StreamingRecognitionFeatures,
-    StreamingRecognitionResult,
-    StreamingRecognizeRequest,
-    StreamingRecognizeResponse,
-    UndeleteCustomClassRequest,
-    UndeletePhraseSetRequest,
-    UndeleteRecognizerRequest,
-    UpdateConfigRequest,
-    UpdateCustomClassRequest,
-    UpdatePhraseSetRequest,
-    UpdateRecognizerRequest,
-    WordInfo,
-)
-
-__all__ = (
-    "AutoDetectDecodingConfig",
-    "BatchRecognizeFileMetadata",
-    "BatchRecognizeFileResult",
-    "BatchRecognizeMetadata",
-    "BatchRecognizeRequest",
-    "BatchRecognizeResponse",
-    "BatchRecognizeResults",
-    "BatchRecognizeTranscriptionMetadata",
-    "Config",
-    "CreateCustomClassRequest",
-    "CreatePhraseSetRequest",
-    "CreateRecognizerRequest",
-    "CustomClass",
-    "DeleteCustomClassRequest",
-    "DeletePhraseSetRequest",
-    "DeleteRecognizerRequest",
-    "ExplicitDecodingConfig",
-    "GcsOutputConfig",
-    "GetConfigRequest",
-    "GetCustomClassRequest",
-    "GetPhraseSetRequest",
-    "GetRecognizerRequest",
-    "InlineOutputConfig",
-    "ListCustomClassesRequest",
-    "ListCustomClassesResponse",
-    "ListPhraseSetsRequest",
-    "ListPhraseSetsResponse",
-    "ListRecognizersRequest",
-    "ListRecognizersResponse",
-    "OperationMetadata",
-    "PhraseSet",
-    "RecognitionConfig",
-    "RecognitionFeatures",
-    "RecognitionOutputConfig",
-    "RecognitionResponseMetadata",
-    "Recognizer",
-    "RecognizeRequest",
-    "RecognizeResponse",
-    "SpeakerDiarizationConfig",
-    "SpeechAdaptation",
-    "SpeechRecognitionAlternative",
-    "SpeechRecognitionResult",
-    "StreamingRecognitionConfig",
-    "StreamingRecognitionFeatures",
-    "StreamingRecognitionResult",
-    "StreamingRecognizeRequest",
-    "StreamingRecognizeResponse",
-    "UndeleteCustomClassRequest",
-    "UndeletePhraseSetRequest",
-    "UndeleteRecognizerRequest",
-    "UpdateConfigRequest",
-    "UpdateCustomClassRequest",
-    "UpdatePhraseSetRequest",
-    "UpdateRecognizerRequest",
-    "WordInfo",
-)
diff --git a/google/cloud/speech_v2/types/cloud_speech.py b/google/cloud/speech_v2/types/cloud_speech.py
deleted file mode 100644
index e240e838..00000000
--- a/google/cloud/speech_v2/types/cloud_speech.py
+++ /dev/null
@@ -1,3104 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from __future__ import annotations
-
-from typing import MutableMapping, MutableSequence
-
-import proto  # type: ignore
-
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-
-
-__protobuf__ = proto.module(
-    package="google.cloud.speech.v2",
-    manifest={
-        "CreateRecognizerRequest",
-        "OperationMetadata",
-        "ListRecognizersRequest",
-        "ListRecognizersResponse",
-        "GetRecognizerRequest",
-        "UpdateRecognizerRequest",
-        "DeleteRecognizerRequest",
-        "UndeleteRecognizerRequest",
-        "Recognizer",
-        "AutoDetectDecodingConfig",
-        "ExplicitDecodingConfig",
-        "SpeakerDiarizationConfig",
-        "RecognitionFeatures",
-        "SpeechAdaptation",
-        "RecognitionConfig",
-        "RecognizeRequest",
-        "RecognitionResponseMetadata",
-        "SpeechRecognitionAlternative",
-        "WordInfo",
-        "SpeechRecognitionResult",
-        "RecognizeResponse",
-        "StreamingRecognitionFeatures",
-        "StreamingRecognitionConfig",
-        "StreamingRecognizeRequest",
-        "BatchRecognizeRequest",
-        "GcsOutputConfig",
-        "InlineOutputConfig",
-        "RecognitionOutputConfig",
-        "BatchRecognizeResponse",
-        "BatchRecognizeResults",
-        "BatchRecognizeFileResult",
-        "BatchRecognizeTranscriptionMetadata",
-        "BatchRecognizeMetadata",
-        "BatchRecognizeFileMetadata",
-        "StreamingRecognitionResult",
-        "StreamingRecognizeResponse",
-        "Config",
-        "GetConfigRequest",
-        "UpdateConfigRequest",
-        "CustomClass",
-        "PhraseSet",
-        "CreateCustomClassRequest",
-        "ListCustomClassesRequest",
-        "ListCustomClassesResponse",
-        "GetCustomClassRequest",
-        "UpdateCustomClassRequest",
-        "DeleteCustomClassRequest",
-        "UndeleteCustomClassRequest",
-        "CreatePhraseSetRequest",
-        "ListPhraseSetsRequest",
-        "ListPhraseSetsResponse",
-        "GetPhraseSetRequest",
-        "UpdatePhraseSetRequest",
-        "DeletePhraseSetRequest",
-        "UndeletePhraseSetRequest",
-    },
-)
-
-
-class CreateRecognizerRequest(proto.Message):
-    r"""Request message for the
-    [CreateRecognizer][google.cloud.speech.v2.Speech.CreateRecognizer]
-    method.
-
-    Attributes:
-        recognizer (google.cloud.speech_v2.types.Recognizer):
-            Required. The Recognizer to create.
-        validate_only (bool):
-            If set, validate the request and preview the
-            Recognizer, but do not actually create it.
-        recognizer_id (str):
-            The ID to use for the Recognizer, which will become the
-            final component of the Recognizer's resource name.
-
-            This value should be 4-63 characters, and valid characters
-            are /[a-z][0-9]-/.
-        parent (str):
-            Required. The project and location where this Recognizer
-            will be created. The expected format is
-            ``projects/{project}/locations/{location}``.
-    """
-
-    recognizer: "Recognizer" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="Recognizer",
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    recognizer_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    parent: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class OperationMetadata(proto.Message):
-    r"""Represents the metadata of a long-running operation.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time the operation was created.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            The time the operation was last updated.
-        resource (str):
-            The resource path for the target of the
-            operation.
-        method (str):
-            The method that triggered the operation.
-        kms_key_name (str):
-            The `KMS key
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-            with which the content of the Operation is encrypted. The
-            expected format is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}``.
-        kms_key_version_name (str):
-            The `KMS key version
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#key_versions>`__
-            with which content of the Operation is encrypted. The
-            expected format is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}``.
-        batch_recognize_request (google.cloud.speech_v2.types.BatchRecognizeRequest):
-            The BatchRecognizeRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        create_recognizer_request (google.cloud.speech_v2.types.CreateRecognizerRequest):
-            The CreateRecognizerRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        update_recognizer_request (google.cloud.speech_v2.types.UpdateRecognizerRequest):
-            The UpdateRecognizerRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        delete_recognizer_request (google.cloud.speech_v2.types.DeleteRecognizerRequest):
-            The DeleteRecognizerRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        undelete_recognizer_request (google.cloud.speech_v2.types.UndeleteRecognizerRequest):
-            The UndeleteRecognizerRequest that spawned
-            the Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        create_custom_class_request (google.cloud.speech_v2.types.CreateCustomClassRequest):
-            The CreateCustomClassRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        update_custom_class_request (google.cloud.speech_v2.types.UpdateCustomClassRequest):
-            The UpdateCustomClassRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        delete_custom_class_request (google.cloud.speech_v2.types.DeleteCustomClassRequest):
-            The DeleteCustomClassRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        undelete_custom_class_request (google.cloud.speech_v2.types.UndeleteCustomClassRequest):
-            The UndeleteCustomClassRequest that spawned
-            the Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        create_phrase_set_request (google.cloud.speech_v2.types.CreatePhraseSetRequest):
-            The CreatePhraseSetRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        update_phrase_set_request (google.cloud.speech_v2.types.UpdatePhraseSetRequest):
-            The UpdatePhraseSetRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        delete_phrase_set_request (google.cloud.speech_v2.types.DeletePhraseSetRequest):
-            The DeletePhraseSetRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        undelete_phrase_set_request (google.cloud.speech_v2.types.UndeletePhraseSetRequest):
-            The UndeletePhraseSetRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        update_config_request (google.cloud.speech_v2.types.UpdateConfigRequest):
-            The UpdateConfigRequest that spawned the
-            Operation.
-
-            This field is a member of `oneof`_ ``request``.
-        progress_percent (int):
-            The percent progress of the Operation. Values
-            can range from 0-100. If the value is 100, then
-            the operation is finished.
-        batch_recognize_metadata (google.cloud.speech_v2.types.BatchRecognizeMetadata):
-            Metadata specific to the BatchRecognize
-            method.
-
-            This field is a member of `oneof`_ ``metadata``.
-    """
-
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=timestamp_pb2.Timestamp,
-    )
-    resource: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    method: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    kms_key_name: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-    kms_key_version_name: str = proto.Field(
-        proto.STRING,
-        number=7,
-    )
-    batch_recognize_request: "BatchRecognizeRequest" = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        oneof="request",
-        message="BatchRecognizeRequest",
-    )
-    create_recognizer_request: "CreateRecognizerRequest" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        oneof="request",
-        message="CreateRecognizerRequest",
-    )
-    update_recognizer_request: "UpdateRecognizerRequest" = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        oneof="request",
-        message="UpdateRecognizerRequest",
-    )
-    delete_recognizer_request: "DeleteRecognizerRequest" = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        oneof="request",
-        message="DeleteRecognizerRequest",
-    )
-    undelete_recognizer_request: "UndeleteRecognizerRequest" = proto.Field(
-        proto.MESSAGE,
-        number=12,
-        oneof="request",
-        message="UndeleteRecognizerRequest",
-    )
-    create_custom_class_request: "CreateCustomClassRequest" = proto.Field(
-        proto.MESSAGE,
-        number=13,
-        oneof="request",
-        message="CreateCustomClassRequest",
-    )
-    update_custom_class_request: "UpdateCustomClassRequest" = proto.Field(
-        proto.MESSAGE,
-        number=14,
-        oneof="request",
-        message="UpdateCustomClassRequest",
-    )
-    delete_custom_class_request: "DeleteCustomClassRequest" = proto.Field(
-        proto.MESSAGE,
-        number=15,
-        oneof="request",
-        message="DeleteCustomClassRequest",
-    )
-    undelete_custom_class_request: "UndeleteCustomClassRequest" = proto.Field(
-        proto.MESSAGE,
-        number=16,
-        oneof="request",
-        message="UndeleteCustomClassRequest",
-    )
-    create_phrase_set_request: "CreatePhraseSetRequest" = proto.Field(
-        proto.MESSAGE,
-        number=17,
-        oneof="request",
-        message="CreatePhraseSetRequest",
-    )
-    update_phrase_set_request: "UpdatePhraseSetRequest" = proto.Field(
-        proto.MESSAGE,
-        number=18,
-        oneof="request",
-        message="UpdatePhraseSetRequest",
-    )
-    delete_phrase_set_request: "DeletePhraseSetRequest" = proto.Field(
-        proto.MESSAGE,
-        number=19,
-        oneof="request",
-        message="DeletePhraseSetRequest",
-    )
-    undelete_phrase_set_request: "UndeletePhraseSetRequest" = proto.Field(
-        proto.MESSAGE,
-        number=20,
-        oneof="request",
-        message="UndeletePhraseSetRequest",
-    )
-    update_config_request: "UpdateConfigRequest" = proto.Field(
-        proto.MESSAGE,
-        number=21,
-        oneof="request",
-        message="UpdateConfigRequest",
-    )
-    progress_percent: int = proto.Field(
-        proto.INT32,
-        number=22,
-    )
-    batch_recognize_metadata: "BatchRecognizeMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=23,
-        oneof="metadata",
-        message="BatchRecognizeMetadata",
-    )
-
-
-class ListRecognizersRequest(proto.Message):
-    r"""Request message for the
-    [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-    method.
-
-    Attributes:
-        parent (str):
-            Required. The project and location of Recognizers to list.
-            The expected format is
-            ``projects/{project}/locations/{location}``.
-        page_size (int):
-            The maximum number of Recognizers to return.
-            The service may return fewer than this value. If
-            unspecified, at most 5 Recognizers will be
-            returned. The maximum value is 100; values above
-            100 will be coerced to 100.
-        page_token (str):
-            A page token, received from a previous
-            [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-            must match the call that provided the page token.
-        show_deleted (bool):
-            Whether, or not, to show resources that have
-            been deleted.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    show_deleted: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class ListRecognizersResponse(proto.Message):
-    r"""Response message for the
-    [ListRecognizers][google.cloud.speech.v2.Speech.ListRecognizers]
-    method.
-
-    Attributes:
-        recognizers (MutableSequence[google.cloud.speech_v2.types.Recognizer]):
-            The list of requested Recognizers.
-        next_page_token (str):
-            A token, which can be sent as
-            [page_token][google.cloud.speech.v2.ListRecognizersRequest.page_token]
-            to retrieve the next page. If this field is omitted, there
-            are no subsequent pages. This token expires after 72 hours.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    recognizers: MutableSequence["Recognizer"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="Recognizer",
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetRecognizerRequest(proto.Message):
-    r"""Request message for the
-    [GetRecognizer][google.cloud.speech.v2.Speech.GetRecognizer] method.
-
-    Attributes:
-        name (str):
-            Required. The name of the Recognizer to retrieve. The
-            expected format is
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class UpdateRecognizerRequest(proto.Message):
-    r"""Request message for the
-    [UpdateRecognizer][google.cloud.speech.v2.Speech.UpdateRecognizer]
-    method.
-
-    Attributes:
-        recognizer (google.cloud.speech_v2.types.Recognizer):
-            Required. The Recognizer to update.
-
-            The Recognizer's ``name`` field is used to identify the
-            Recognizer to update. Format:
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to update. If empty, all non-default
-            valued fields are considered for update. Use ``*`` to update
-            the entire Recognizer resource.
-        validate_only (bool):
-            If set, validate the request and preview the
-            updated Recognizer, but do not actually update
-            it.
-    """
-
-    recognizer: "Recognizer" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="Recognizer",
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class DeleteRecognizerRequest(proto.Message):
-    r"""Request message for the
-    [DeleteRecognizer][google.cloud.speech.v2.Speech.DeleteRecognizer]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the Recognizer to delete. Format:
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            deleted Recognizer, but do not actually delete
-            it.
-        allow_missing (bool):
-            If set to true, and the Recognizer is not
-            found, the request will succeed and  be a no-op
-            (no Operation is recorded in this case).
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    allow_missing: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class UndeleteRecognizerRequest(proto.Message):
-    r"""Request message for the
-    [UndeleteRecognizer][google.cloud.speech.v2.Speech.UndeleteRecognizer]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the Recognizer to undelete. Format:
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            undeleted Recognizer, but do not actually
-            undelete it.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class Recognizer(proto.Message):
-    r"""A Recognizer message. Stores recognition configuration and
-    metadata.
-
-    Attributes:
-        name (str):
-            Output only. The resource name of the Recognizer. Format:
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-        uid (str):
-            Output only. System-assigned unique
-            identifier for the Recognizer.
-        display_name (str):
-            User-settable, human-readable name for the
-            Recognizer. Must be 63 characters or less.
-        model (str):
-            Optional. Which model to use for recognition requests.
-            Select the model best suited to your domain to get best
-            results.
-
-            Guidance for choosing which model to use can be found in the
-            `Transcription Models
-            Documentation <https://cloud.google.com/speech-to-text/v2/docs/transcription-model>`__
-            and the models supported in each region can be found in the
-            `Table Of Supported
-            Models <https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages>`__.
-        language_codes (MutableSequence[str]):
-            Optional. The language of the supplied audio as a
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag.
-
-            Supported languages for each model are listed in the `Table
-            of Supported
-            Models <https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages>`__.
-
-            If additional languages are provided, recognition result
-            will contain recognition in the most likely language
-            detected. The recognition result will include the language
-            tag of the language detected in the audio. When you create
-            or update a Recognizer, these values are stored in
-            normalized BCP-47 form. For example, "en-us" is stored as
-            "en-US".
-        default_recognition_config (google.cloud.speech_v2.types.RecognitionConfig):
-            Default configuration to use for requests with this
-            Recognizer. This can be overwritten by inline configuration
-            in the
-            [RecognizeRequest.config][google.cloud.speech.v2.RecognizeRequest.config]
-            field.
-        annotations (MutableMapping[str, str]):
-            Allows users to store small amounts of
-            arbitrary data. Both the key and the value must
-            be 63 characters or less each. At most 100
-            annotations.
-        state (google.cloud.speech_v2.types.Recognizer.State):
-            Output only. The Recognizer lifecycle state.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Creation time.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The most recent time this
-            Recognizer was modified.
-        delete_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this
-            Recognizer was requested for deletion.
-        expire_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this
-            Recognizer will be purged.
-        etag (str):
-            Output only. This checksum is computed by the
-            server based on the value of other fields. This
-            may be sent on update, undelete, and delete
-            requests to ensure the client has an up-to-date
-            value before proceeding.
-        reconciling (bool):
-            Output only. Whether or not this Recognizer
-            is in the process of being updated.
-        kms_key_name (str):
-            Output only. The `KMS key
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-            with which the Recognizer is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}``.
-        kms_key_version_name (str):
-            Output only. The `KMS key version
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#key_versions>`__
-            with which the Recognizer is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}``.
-    """
-
-    class State(proto.Enum):
-        r"""Set of states that define the lifecycle of a Recognizer.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                The default value. This value is used if the
-                state is omitted.
-            ACTIVE (2):
-                The Recognizer is active and ready for use.
-            DELETED (4):
-                This Recognizer has been deleted.
-        """
-        STATE_UNSPECIFIED = 0
-        ACTIVE = 2
-        DELETED = 4
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    model: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    language_codes: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=17,
-    )
-    default_recognition_config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message="RecognitionConfig",
-    )
-    annotations: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=7,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=8,
-        enum=State,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=10,
-        message=timestamp_pb2.Timestamp,
-    )
-    delete_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=11,
-        message=timestamp_pb2.Timestamp,
-    )
-    expire_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=14,
-        message=timestamp_pb2.Timestamp,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=12,
-    )
-    reconciling: bool = proto.Field(
-        proto.BOOL,
-        number=13,
-    )
-    kms_key_name: str = proto.Field(
-        proto.STRING,
-        number=15,
-    )
-    kms_key_version_name: str = proto.Field(
-        proto.STRING,
-        number=16,
-    )
-
-
-class AutoDetectDecodingConfig(proto.Message):
-    r"""Automatically detected decoding parameters. Supported for the
-    following encodings:
-
-    -  WAV_LINEAR16: 16-bit signed little-endian PCM samples in a WAV
-       container.
-
-    -  WAV_MULAW: 8-bit companded mulaw samples in a WAV container.
-
-    -  WAV_ALAW: 8-bit companded alaw samples in a WAV container.
-
-    -  RFC4867_5_AMR: AMR frames with an rfc4867.5 header.
-
-    -  RFC4867_5_AMRWB: AMR-WB frames with an rfc4867.5 header.
-
-    -  FLAC: FLAC frames in the "native FLAC" container format.
-
-    -  MP3: MPEG audio frames with optional (ignored) ID3 metadata.
-
-    -  OGG_OPUS: Opus audio frames in an Ogg container.
-
-    -  WEBM_OPUS: Opus audio frames in a WebM container.
-
-    """
-
-
-class ExplicitDecodingConfig(proto.Message):
-    r"""Explicitly specified decoding parameters.
-
-    Attributes:
-        encoding (google.cloud.speech_v2.types.ExplicitDecodingConfig.AudioEncoding):
-            Required. Encoding of the audio data sent for
-            recognition.
-        sample_rate_hertz (int):
-            Sample rate in Hertz of the audio data sent for recognition.
-            Valid values are: 8000-48000. 16000 is optimal. For best
-            results, set the sampling rate of the audio source to 16000
-            Hz. If that's not possible, use the native sample rate of
-            the audio source (instead of re-sampling). Supported for the
-            following encodings:
-
-            -  LINEAR16: Headerless 16-bit signed little-endian PCM
-               samples.
-
-            -  MULAW: Headerless 8-bit companded mulaw samples.
-
-            -  ALAW: Headerless 8-bit companded alaw samples.
-        audio_channel_count (int):
-            Number of channels present in the audio data sent for
-            recognition. Supported for the following encodings:
-
-            -  LINEAR16: Headerless 16-bit signed little-endian PCM
-               samples.
-
-            -  MULAW: Headerless 8-bit companded mulaw samples.
-
-            -  ALAW: Headerless 8-bit companded alaw samples.
-
-            The maximum allowed value is 8.
-    """
-
-    class AudioEncoding(proto.Enum):
-        r"""Supported audio data encodings.
-
-        Values:
-            AUDIO_ENCODING_UNSPECIFIED (0):
-                Default value. This value is unused.
-            LINEAR16 (1):
-                Headerless 16-bit signed little-endian PCM
-                samples.
-            MULAW (2):
-                Headerless 8-bit companded mulaw samples.
-            ALAW (3):
-                Headerless 8-bit companded alaw samples.
-        """
-        AUDIO_ENCODING_UNSPECIFIED = 0
-        LINEAR16 = 1
-        MULAW = 2
-        ALAW = 3
-
-    encoding: AudioEncoding = proto.Field(
-        proto.ENUM,
-        number=1,
-        enum=AudioEncoding,
-    )
-    sample_rate_hertz: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    audio_channel_count: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-
-
-class SpeakerDiarizationConfig(proto.Message):
-    r"""Configuration to enable speaker diarization.
-
-    Attributes:
-        min_speaker_count (int):
-            Required. Minimum number of speakers in the conversation.
-            This range gives you more flexibility by allowing the system
-            to automatically determine the correct number of speakers.
-
-            To fix the number of speakers detected in the audio, set
-            ``min_speaker_count`` = ``max_speaker_count``.
-        max_speaker_count (int):
-            Required. Maximum number of speakers in the conversation.
-            Valid values are: 1-6. Must be >= ``min_speaker_count``.
-            This range gives you more flexibility by allowing the system
-            to automatically determine the correct number of speakers.
-    """
-
-    min_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    max_speaker_count: int = proto.Field(
-        proto.INT32,
-        number=3,
-    )
-
-
-class RecognitionFeatures(proto.Message):
-    r"""Available recognition features.
-
-    Attributes:
-        profanity_filter (bool):
-            If set to ``true``, the server will attempt to filter out
-            profanities, replacing all but the initial character in each
-            filtered word with asterisks, for instance, "f***". If set
-            to ``false`` or omitted, profanities won't be filtered out.
-        enable_word_time_offsets (bool):
-            If ``true``, the top result includes a list of words and the
-            start and end time offsets (timestamps) for those words. If
-            ``false``, no word-level time offset information is
-            returned. The default is ``false``.
-        enable_word_confidence (bool):
-            If ``true``, the top result includes a list of words and the
-            confidence for those words. If ``false``, no word-level
-            confidence information is returned. The default is
-            ``false``.
-        enable_automatic_punctuation (bool):
-            If ``true``, adds punctuation to recognition result
-            hypotheses. This feature is only available in select
-            languages. The default ``false`` value does not add
-            punctuation to result hypotheses.
-        enable_spoken_punctuation (bool):
-            The spoken punctuation behavior for the call. If ``true``,
-            replaces spoken punctuation with the corresponding symbols
-            in the request. For example, "how are you question mark"
-            becomes "how are you?". See
-            https://cloud.google.com/speech-to-text/docs/spoken-punctuation
-            for support. If ``false``, spoken punctuation is not
-            replaced.
-        enable_spoken_emojis (bool):
-            The spoken emoji behavior for the call. If ``true``, adds
-            spoken emoji formatting for the request. This will replace
-            spoken emojis with the corresponding Unicode symbols in the
-            final transcript. If ``false``, spoken emojis are not
-            replaced.
-        multi_channel_mode (google.cloud.speech_v2.types.RecognitionFeatures.MultiChannelMode):
-            Mode for recognizing multi-channel audio.
-        diarization_config (google.cloud.speech_v2.types.SpeakerDiarizationConfig):
-            Configuration to enable speaker diarization
-            and set additional parameters to make
-            diarization better suited for your application.
-            When this is enabled, we send all the words from
-            the beginning of the audio for the top
-            alternative in every consecutive STREAMING
-            responses. This is done in order to improve our
-            speaker tags as our models learn to identify the
-            speakers in the conversation over time. For
-            non-streaming requests, the diarization results
-            will be provided only in the top alternative of
-            the FINAL SpeechRecognitionResult.
-        max_alternatives (int):
-            Maximum number of recognition hypotheses to be returned. The
-            server may return fewer than ``max_alternatives``. Valid
-            values are ``0``-``30``. A value of ``0`` or ``1`` will
-            return a maximum of one. If omitted, will return a maximum
-            of one.
-    """
-
-    class MultiChannelMode(proto.Enum):
-        r"""Options for how to recognize multi-channel audio.
-
-        Values:
-            MULTI_CHANNEL_MODE_UNSPECIFIED (0):
-                Default value for the multi-channel mode. If
-                the audio contains multiple channels, only the
-                first channel will be transcribed; other
-                channels will be ignored.
-            SEPARATE_RECOGNITION_PER_CHANNEL (1):
-                If selected, each channel in the provided audio is
-                transcribed independently. This cannot be selected if the
-                selected [model][google.cloud.speech.v2.Recognizer.model] is
-                ``latest_short``.
-        """
-        MULTI_CHANNEL_MODE_UNSPECIFIED = 0
-        SEPARATE_RECOGNITION_PER_CHANNEL = 1
-
-    profanity_filter: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    enable_word_time_offsets: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    enable_word_confidence: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    enable_automatic_punctuation: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-    enable_spoken_punctuation: bool = proto.Field(
-        proto.BOOL,
-        number=14,
-    )
-    enable_spoken_emojis: bool = proto.Field(
-        proto.BOOL,
-        number=15,
-    )
-    multi_channel_mode: MultiChannelMode = proto.Field(
-        proto.ENUM,
-        number=17,
-        enum=MultiChannelMode,
-    )
-    diarization_config: "SpeakerDiarizationConfig" = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message="SpeakerDiarizationConfig",
-    )
-    max_alternatives: int = proto.Field(
-        proto.INT32,
-        number=16,
-    )
-
-
-class SpeechAdaptation(proto.Message):
-    r"""Provides "hints" to the speech recognizer to favor specific
-    words and phrases in the results. PhraseSets can be specified as
-    an inline resource, or a reference to an existing PhraseSet
-    resource.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v2.types.SpeechAdaptation.AdaptationPhraseSet]):
-            A list of inline or referenced PhraseSets.
-        custom_classes (MutableSequence[google.cloud.speech_v2.types.CustomClass]):
-            A list of inline CustomClasses. Existing
-            CustomClass resources can be referenced directly
-            in a PhraseSet.
-    """
-
-    class AdaptationPhraseSet(proto.Message):
-        r"""A biasing PhraseSet, which can be either a string referencing
-        the name of an existing PhraseSets resource, or an inline
-        definition of a PhraseSet.
-
-        This message has `oneof`_ fields (mutually exclusive fields).
-        For each oneof, at most one member field can be set at the same time.
-        Setting any member of the oneof automatically clears all other
-        members.
-
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-        Attributes:
-            phrase_set (str):
-                The name of an existing PhraseSet resource.
-                The user must have read access to the resource
-                and it must not be deleted.
-
-                This field is a member of `oneof`_ ``value``.
-            inline_phrase_set (google.cloud.speech_v2.types.PhraseSet):
-                An inline defined PhraseSet.
-
-                This field is a member of `oneof`_ ``value``.
-        """
-
-        phrase_set: str = proto.Field(
-            proto.STRING,
-            number=1,
-            oneof="value",
-        )
-        inline_phrase_set: "PhraseSet" = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            oneof="value",
-            message="PhraseSet",
-        )
-
-    phrase_sets: MutableSequence[AdaptationPhraseSet] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message=AdaptationPhraseSet,
-    )
-    custom_classes: MutableSequence["CustomClass"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=2,
-        message="CustomClass",
-    )
-
-
-class RecognitionConfig(proto.Message):
-    r"""Provides information to the Recognizer that specifies how to
-    process the recognition request.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        auto_decoding_config (google.cloud.speech_v2.types.AutoDetectDecodingConfig):
-            Automatically detect decoding parameters.
-            Preferred for supported formats.
-
-            This field is a member of `oneof`_ ``decoding_config``.
-        explicit_decoding_config (google.cloud.speech_v2.types.ExplicitDecodingConfig):
-            Explicitly specified decoding parameters.
-            Required if using headerless PCM audio
-            (linear16, mulaw, alaw).
-
-            This field is a member of `oneof`_ ``decoding_config``.
-        model (str):
-            Optional. Which model to use for recognition requests.
-            Select the model best suited to your domain to get best
-            results.
-
-            Guidance for choosing which model to use can be found in the
-            `Transcription Models
-            Documentation <https://cloud.google.com/speech-to-text/v2/docs/transcription-model>`__
-            and the models supported in each region can be found in the
-            `Table Of Supported
-            Models <https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages>`__.
-        language_codes (MutableSequence[str]):
-            Optional. The language of the supplied audio as a
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag. Language tags are normalized to BCP-47 before
-            they are used eg "en-us" becomes "en-US".
-
-            Supported languages for each model are listed in the `Table
-            of Supported
-            Models <https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages>`__.
-
-            If additional languages are provided, recognition result
-            will contain recognition in the most likely language
-            detected. The recognition result will include the language
-            tag of the language detected in the audio.
-        features (google.cloud.speech_v2.types.RecognitionFeatures):
-            Speech recognition features to enable.
-        adaptation (google.cloud.speech_v2.types.SpeechAdaptation):
-            Speech adaptation context that weights
-            recognizer predictions for specific words and
-            phrases.
-    """
-
-    auto_decoding_config: "AutoDetectDecodingConfig" = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        oneof="decoding_config",
-        message="AutoDetectDecodingConfig",
-    )
-    explicit_decoding_config: "ExplicitDecodingConfig" = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        oneof="decoding_config",
-        message="ExplicitDecodingConfig",
-    )
-    model: str = proto.Field(
-        proto.STRING,
-        number=9,
-    )
-    language_codes: MutableSequence[str] = proto.RepeatedField(
-        proto.STRING,
-        number=10,
-    )
-    features: "RecognitionFeatures" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionFeatures",
-    )
-    adaptation: "SpeechAdaptation" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message="SpeechAdaptation",
-    )
-
-
-class RecognizeRequest(proto.Message):
-    r"""Request message for the
-    [Recognize][google.cloud.speech.v2.Speech.Recognize] method. Either
-    ``content`` or ``uri`` must be supplied. Supplying both or neither
-    returns [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]. See
-    `content
-    limits <https://cloud.google.com/speech-to-text/quotas#content>`__.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        recognizer (str):
-            Required. The name of the Recognizer to use during
-            recognition. The expected format is
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-            The {recognizer} segment may be set to ``_`` to use an empty
-            implicit Recognizer.
-        config (google.cloud.speech_v2.types.RecognitionConfig):
-            Features and audio metadata to use for the Automatic Speech
-            Recognition. This field in combination with the
-            [config_mask][google.cloud.speech.v2.RecognizeRequest.config_mask]
-            field can be used to override parts of the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the Recognizer resource.
-        config_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields in
-            [config][google.cloud.speech.v2.RecognizeRequest.config]
-            that override the values in the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the recognizer during this recognition request. If no
-            mask is provided, all non-default valued fields in
-            [config][google.cloud.speech.v2.RecognizeRequest.config]
-            override the values in the recognizer for this recognition
-            request. If a mask is provided, only the fields listed in
-            the mask override the config in the recognizer for this
-            recognition request. If a wildcard (``*``) is provided,
-            [config][google.cloud.speech.v2.RecognizeRequest.config]
-            completely overrides and replaces the config in the
-            recognizer for this recognition request.
-        content (bytes):
-            The audio data bytes encoded as specified in
-            [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-            As with all bytes fields, proto buffers use a pure binary
-            representation, whereas JSON representations use base64.
-
-            This field is a member of `oneof`_ ``audio_source``.
-        uri (str):
-            URI that points to a file that contains audio data bytes as
-            specified in
-            [RecognitionConfig][google.cloud.speech.v2.RecognitionConfig].
-            The file must not be compressed (for example, gzip).
-            Currently, only Google Cloud Storage URIs are supported,
-            which must be specified in the following format:
-            ``gs://bucket_name/object_name`` (other URI formats return
-            [INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For
-            more information, see `Request
-            URIs <https://cloud.google.com/storage/docs/reference-uris>`__.
-
-            This field is a member of `oneof`_ ``audio_source``.
-    """
-
-    recognizer: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    config_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=field_mask_pb2.FieldMask,
-    )
-    content: bytes = proto.Field(
-        proto.BYTES,
-        number=5,
-        oneof="audio_source",
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=6,
-        oneof="audio_source",
-    )
-
-
-class RecognitionResponseMetadata(proto.Message):
-    r"""Metadata about the recognition request and response.
-
-    Attributes:
-        total_billed_duration (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-    """
-
-    total_billed_duration: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=duration_pb2.Duration,
-    )
-
-
-class SpeechRecognitionAlternative(proto.Message):
-    r"""Alternative hypotheses (a.k.a. n-best list).
-
-    Attributes:
-        transcript (str):
-            Transcript text representing the words that
-            the user spoke.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where
-            [is_final][google.cloud.speech.v2.StreamingRecognitionResult.is_final]
-            is set to ``true``. This field is not guaranteed to be
-            accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        words (MutableSequence[google.cloud.speech_v2.types.WordInfo]):
-            A list of word-specific information for each recognized
-            word. When the
-            [SpeakerDiarizationConfig][google.cloud.speech.v2.SpeakerDiarizationConfig]
-            is set, you will see all the words from the beginning of the
-            audio.
-    """
-
-    transcript: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=2,
-    )
-    words: MutableSequence["WordInfo"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="WordInfo",
-    )
-
-
-class WordInfo(proto.Message):
-    r"""Word-specific information for recognized words.
-
-    Attributes:
-        start_offset (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the start of the spoken word. This field is
-            only set if
-            [enable_word_time_offsets][google.cloud.speech.v2.RecognitionFeatures.enable_word_time_offsets]
-            is ``true`` and only in the top hypothesis. This is an
-            experimental feature and the accuracy of the time offset can
-            vary.
-        end_offset (google.protobuf.duration_pb2.Duration):
-            Time offset relative to the beginning of the audio, and
-            corresponding to the end of the spoken word. This field is
-            only set if
-            [enable_word_time_offsets][google.cloud.speech.v2.RecognitionFeatures.enable_word_time_offsets]
-            is ``true`` and only in the top hypothesis. This is an
-            experimental feature and the accuracy of the time offset can
-            vary.
-        word (str):
-            The word corresponding to this set of
-            information.
-        confidence (float):
-            The confidence estimate between 0.0 and 1.0. A higher number
-            indicates an estimated greater likelihood that the
-            recognized words are correct. This field is set only for the
-            top alternative of a non-streaming result or, of a streaming
-            result where
-            [is_final][google.cloud.speech.v2.StreamingRecognitionResult.is_final]
-            is set to ``true``. This field is not guaranteed to be
-            accurate and users should not rely on it to be always
-            provided. The default of 0.0 is a sentinel value indicating
-            ``confidence`` was not set.
-        speaker_label (str):
-            A distinct label is assigned for every speaker within the
-            audio. This field specifies which one of those speakers was
-            detected to have spoken this word. ``speaker_label`` is set
-            if
-            [SpeakerDiarizationConfig][google.cloud.speech.v2.SpeakerDiarizationConfig]
-            is given and only in the top alternative.
-    """
-
-    start_offset: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message=duration_pb2.Duration,
-    )
-    end_offset: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=duration_pb2.Duration,
-    )
-    word: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    confidence: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-    speaker_label: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-
-
-class SpeechRecognitionResult(proto.Message):
-    r"""A speech recognition result corresponding to a portion of the
-    audio.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v2.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition
-            hypotheses. These alternatives are ordered in
-            terms of accuracy, with the top (first)
-            alternative being the most probable, as ranked
-            by the recognizer.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For ``audio_channel_count`` = ``N``, its
-            output values can range from ``1`` to ``N``.
-        result_end_offset (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    result_end_offset: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-
-
-class RecognizeResponse(proto.Message):
-    r"""Response message for the
-    [Recognize][google.cloud.speech.v2.Speech.Recognize] method.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v2.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        metadata (google.cloud.speech_v2.types.RecognitionResponseMetadata):
-            Metadata about the recognition.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="SpeechRecognitionResult",
-    )
-    metadata: "RecognitionResponseMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionResponseMetadata",
-    )
-
-
-class StreamingRecognitionFeatures(proto.Message):
-    r"""Available recognition features specific to streaming
-    recognition requests.
-
-    Attributes:
-        enable_voice_activity_events (bool):
-            If ``true``, responses with voice activity speech events
-            will be returned as they are detected.
-        interim_results (bool):
-            Whether or not to stream interim results to
-            the client. If set to true, interim results will
-            be streamed to the client. Otherwise, only the
-            final response will be streamed back.
-        voice_activity_timeout (google.cloud.speech_v2.types.StreamingRecognitionFeatures.VoiceActivityTimeout):
-            If set, the server will automatically close the stream after
-            the specified duration has elapsed after the last
-            VOICE_ACTIVITY speech event has been sent. The field
-            ``voice_activity_events`` must also be set to true.
-    """
-
-    class VoiceActivityTimeout(proto.Message):
-        r"""Events that a timeout can be set on for voice activity.
-
-        Attributes:
-            speech_start_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream if no speech
-                begins. If this is set and no speech is detected
-                in this duration at the start of the stream, the
-                server will close the stream.
-            speech_end_timeout (google.protobuf.duration_pb2.Duration):
-                Duration to timeout the stream after speech
-                ends. If this is set and no speech is detected
-                in this duration after speech was detected, the
-                server will close the stream.
-        """
-
-        speech_start_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=1,
-            message=duration_pb2.Duration,
-        )
-        speech_end_timeout: duration_pb2.Duration = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            message=duration_pb2.Duration,
-        )
-
-    enable_voice_activity_events: bool = proto.Field(
-        proto.BOOL,
-        number=1,
-    )
-    interim_results: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    voice_activity_timeout: VoiceActivityTimeout = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=VoiceActivityTimeout,
-    )
-
-
-class StreamingRecognitionConfig(proto.Message):
-    r"""Provides configuration information for the StreamingRecognize
-    request.
-
-    Attributes:
-        config (google.cloud.speech_v2.types.RecognitionConfig):
-            Required. Features and audio metadata to use for the
-            Automatic Speech Recognition. This field in combination with
-            the
-            [config_mask][google.cloud.speech.v2.StreamingRecognitionConfig.config_mask]
-            field can be used to override parts of the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the Recognizer resource.
-        config_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields in
-            [config][google.cloud.speech.v2.StreamingRecognitionConfig.config]
-            that override the values in the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the recognizer during this recognition request. If no
-            mask is provided, all non-default valued fields in
-            [config][google.cloud.speech.v2.StreamingRecognitionConfig.config]
-            override the values in the Recognizer for this recognition
-            request. If a mask is provided, only the fields listed in
-            the mask override the config in the Recognizer for this
-            recognition request. If a wildcard (``*``) is provided,
-            [config][google.cloud.speech.v2.StreamingRecognitionConfig.config]
-            completely overrides and replaces the config in the
-            recognizer for this recognition request.
-        streaming_features (google.cloud.speech_v2.types.StreamingRecognitionFeatures):
-            Speech recognition features to enable
-            specific to streaming audio recognition
-            requests.
-    """
-
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="RecognitionConfig",
-    )
-    config_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=field_mask_pb2.FieldMask,
-    )
-    streaming_features: "StreamingRecognitionFeatures" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="StreamingRecognitionFeatures",
-    )
-
-
-class StreamingRecognizeRequest(proto.Message):
-    r"""Request message for the
-    [StreamingRecognize][google.cloud.speech.v2.Speech.StreamingRecognize]
-    method. Multiple
-    [StreamingRecognizeRequest][google.cloud.speech.v2.StreamingRecognizeRequest]
-    messages are sent in one call.
-
-    If the [Recognizer][google.cloud.speech.v2.Recognizer] referenced by
-    [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-    contains a fully specified request configuration then the stream may
-    only contain messages with only
-    [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio] set.
-
-    Otherwise the first message must contain a
-    [recognizer][google.cloud.speech.v2.StreamingRecognizeRequest.recognizer]
-    and a
-    [streaming_config][google.cloud.speech.v2.StreamingRecognizeRequest.streaming_config]
-    message that together fully specify the request configuration and
-    must not contain
-    [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio]. All
-    subsequent messages must only have
-    [audio][google.cloud.speech.v2.StreamingRecognizeRequest.audio] set.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        recognizer (str):
-            Required. The name of the Recognizer to use during
-            recognition. The expected format is
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-            The {recognizer} segment may be set to ``_`` to use an empty
-            implicit Recognizer.
-        streaming_config (google.cloud.speech_v2.types.StreamingRecognitionConfig):
-            StreamingRecognitionConfig to be used in this
-            recognition attempt. If provided, it will
-            override the default RecognitionConfig stored in
-            the Recognizer.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-        audio (bytes):
-            Inline audio bytes to be Recognized.
-            Maximum size for this field is 15 KB per
-            request.
-
-            This field is a member of `oneof`_ ``streaming_request``.
-    """
-
-    recognizer: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    streaming_config: "StreamingRecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        oneof="streaming_request",
-        message="StreamingRecognitionConfig",
-    )
-    audio: bytes = proto.Field(
-        proto.BYTES,
-        number=5,
-        oneof="streaming_request",
-    )
-
-
-class BatchRecognizeRequest(proto.Message):
-    r"""Request message for the
-    [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-    method.
-
-    Attributes:
-        recognizer (str):
-            Required. The name of the Recognizer to use during
-            recognition. The expected format is
-            ``projects/{project}/locations/{location}/recognizers/{recognizer}``.
-            The {recognizer} segment may be set to ``_`` to use an empty
-            implicit Recognizer.
-        config (google.cloud.speech_v2.types.RecognitionConfig):
-            Features and audio metadata to use for the Automatic Speech
-            Recognition. This field in combination with the
-            [config_mask][google.cloud.speech.v2.BatchRecognizeRequest.config_mask]
-            field can be used to override parts of the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the Recognizer resource.
-        config_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields in
-            [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-            that override the values in the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the recognizer during this recognition request. If no
-            mask is provided, all given fields in
-            [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-            override the values in the recognizer for this recognition
-            request. If a mask is provided, only the fields listed in
-            the mask override the config in the recognizer for this
-            recognition request. If a wildcard (``*``) is provided,
-            [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-            completely overrides and replaces the config in the
-            recognizer for this recognition request.
-        files (MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]):
-            Audio files with file metadata for ASR.
-            The maximum number of files allowed to be
-            specified is 5.
-        recognition_output_config (google.cloud.speech_v2.types.RecognitionOutputConfig):
-            Configuration options for where to output the
-            transcripts of each file.
-        processing_strategy (google.cloud.speech_v2.types.BatchRecognizeRequest.ProcessingStrategy):
-            Processing strategy to use for this request.
-    """
-
-    class ProcessingStrategy(proto.Enum):
-        r"""Possible processing strategies for batch requests.
-
-        Values:
-            PROCESSING_STRATEGY_UNSPECIFIED (0):
-                Default value for the processing strategy.
-                The request is processed as soon as its
-                received.
-            DYNAMIC_BATCHING (1):
-                If selected, processes the request during
-                lower utilization periods for a price discount.
-                The request is fulfilled within 24 hours.
-        """
-        PROCESSING_STRATEGY_UNSPECIFIED = 0
-        DYNAMIC_BATCHING = 1
-
-    recognizer: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message="RecognitionConfig",
-    )
-    config_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=field_mask_pb2.FieldMask,
-    )
-    files: MutableSequence["BatchRecognizeFileMetadata"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message="BatchRecognizeFileMetadata",
-    )
-    recognition_output_config: "RecognitionOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message="RecognitionOutputConfig",
-    )
-    processing_strategy: ProcessingStrategy = proto.Field(
-        proto.ENUM,
-        number=7,
-        enum=ProcessingStrategy,
-    )
-
-
-class GcsOutputConfig(proto.Message):
-    r"""Output configurations for Cloud Storage.
-
-    Attributes:
-        uri (str):
-            The Cloud Storage URI prefix with which
-            recognition results will be written.
-    """
-
-    uri: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class InlineOutputConfig(proto.Message):
-    r"""Output configurations for inline response."""
-
-
-class RecognitionOutputConfig(proto.Message):
-    r"""Configuration options for the output(s) of recognition.
-
-    This message has `oneof`_ fields (mutually exclusive fields).
-    For each oneof, at most one member field can be set at the same time.
-    Setting any member of the oneof automatically clears all other
-    members.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        gcs_output_config (google.cloud.speech_v2.types.GcsOutputConfig):
-            If this message is populated, recognition
-            results are written to the provided Google Cloud
-            Storage URI.
-
-            This field is a member of `oneof`_ ``output``.
-        inline_response_config (google.cloud.speech_v2.types.InlineOutputConfig):
-            If this message is populated, recognition results are
-            provided in the
-            [BatchRecognizeResponse][google.cloud.speech.v2.BatchRecognizeResponse]
-            message of the Operation when completed. This is only
-            supported when calling
-            [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize]
-            with just one audio file.
-
-            This field is a member of `oneof`_ ``output``.
-    """
-
-    gcs_output_config: "GcsOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        oneof="output",
-        message="GcsOutputConfig",
-    )
-    inline_response_config: "InlineOutputConfig" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        oneof="output",
-        message="InlineOutputConfig",
-    )
-
-
-class BatchRecognizeResponse(proto.Message):
-    r"""Response message for
-    [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize] that
-    is packaged into a longrunning
-    [Operation][google.longrunning.Operation].
-
-    Attributes:
-        results (MutableMapping[str, google.cloud.speech_v2.types.BatchRecognizeFileResult]):
-            Map from filename to the final result for
-            that file.
-        total_billed_duration (google.protobuf.duration_pb2.Duration):
-            When available, billed audio seconds for the
-            corresponding request.
-    """
-
-    results: MutableMapping[str, "BatchRecognizeFileResult"] = proto.MapField(
-        proto.STRING,
-        proto.MESSAGE,
-        number=1,
-        message="BatchRecognizeFileResult",
-    )
-    total_billed_duration: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=duration_pb2.Duration,
-    )
-
-
-class BatchRecognizeResults(proto.Message):
-    r"""Output type for Cloud Storage of BatchRecognize transcripts.
-    Though this proto isn't returned in this API anywhere, the Cloud
-    Storage transcripts will be this proto serialized and should be
-    parsed as such.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v2.types.SpeechRecognitionResult]):
-            Sequential list of transcription results
-            corresponding to sequential portions of audio.
-        metadata (google.cloud.speech_v2.types.RecognitionResponseMetadata):
-            Metadata about the recognition.
-    """
-
-    results: MutableSequence["SpeechRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionResult",
-    )
-    metadata: "RecognitionResponseMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message="RecognitionResponseMetadata",
-    )
-
-
-class BatchRecognizeFileResult(proto.Message):
-    r"""Final results for a single file.
-
-    Attributes:
-        uri (str):
-            The Cloud Storage URI to which recognition
-            results were written.
-        error (google.rpc.status_pb2.Status):
-            Error if one was encountered.
-        metadata (google.cloud.speech_v2.types.RecognitionResponseMetadata):
-
-        transcript (google.cloud.speech_v2.types.BatchRecognizeResults):
-            The transcript for the audio file. This is populated only
-            when
-            [InlineOutputConfig][google.cloud.speech.v2.InlineOutputConfig]
-            is set in the
-            [RecognitionOutputConfig][[google.cloud.speech.v2.RecognitionOutputConfig].
-    """
-
-    uri: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=status_pb2.Status,
-    )
-    metadata: "RecognitionResponseMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message="RecognitionResponseMetadata",
-    )
-    transcript: "BatchRecognizeResults" = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message="BatchRecognizeResults",
-    )
-
-
-class BatchRecognizeTranscriptionMetadata(proto.Message):
-    r"""Metadata about transcription for a single file (for example,
-    progress percent).
-
-    Attributes:
-        progress_percent (int):
-            How much of the file has been transcribed so
-            far.
-        error (google.rpc.status_pb2.Status):
-            Error if one was encountered.
-        uri (str):
-            The Cloud Storage URI to which recognition
-            results will be written.
-    """
-
-    progress_percent: int = proto.Field(
-        proto.INT32,
-        number=1,
-    )
-    error: status_pb2.Status = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=status_pb2.Status,
-    )
-    uri: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class BatchRecognizeMetadata(proto.Message):
-    r"""Operation metadata for
-    [BatchRecognize][google.cloud.speech.v2.Speech.BatchRecognize].
-
-    Attributes:
-        transcription_metadata (MutableMapping[str, google.cloud.speech_v2.types.BatchRecognizeTranscriptionMetadata]):
-            Map from provided filename to the
-            transcription metadata for that file.
-    """
-
-    transcription_metadata: MutableMapping[
-        str, "BatchRecognizeTranscriptionMetadata"
-    ] = proto.MapField(
-        proto.STRING,
-        proto.MESSAGE,
-        number=1,
-        message="BatchRecognizeTranscriptionMetadata",
-    )
-
-
-class BatchRecognizeFileMetadata(proto.Message):
-    r"""Metadata about a single file in a batch for BatchRecognize.
-
-    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
-    Attributes:
-        uri (str):
-            Cloud Storage URI for the audio file.
-
-            This field is a member of `oneof`_ ``audio_source``.
-        config (google.cloud.speech_v2.types.RecognitionConfig):
-            Features and audio metadata to use for the Automatic Speech
-            Recognition. This field in combination with the
-            [config_mask][google.cloud.speech.v2.BatchRecognizeFileMetadata.config_mask]
-            field can be used to override parts of the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the Recognizer resource as well as the
-            [config][google.cloud.speech.v2.BatchRecognizeRequest.config]
-            at the request level.
-        config_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields in
-            [config][google.cloud.speech.v2.BatchRecognizeFileMetadata.config]
-            that override the values in the
-            [default_recognition_config][google.cloud.speech.v2.Recognizer.default_recognition_config]
-            of the recognizer during this recognition request. If no
-            mask is provided, all non-default valued fields in
-            [config][google.cloud.speech.v2.BatchRecognizeFileMetadata.config]
-            override the values in the recognizer for this recognition
-            request. If a mask is provided, only the fields listed in
-            the mask override the config in the recognizer for this
-            recognition request. If a wildcard (``*``) is provided,
-            [config][google.cloud.speech.v2.BatchRecognizeFileMetadata.config]
-            completely overrides and replaces the config in the
-            recognizer for this recognition request.
-    """
-
-    uri: str = proto.Field(
-        proto.STRING,
-        number=1,
-        oneof="audio_source",
-    )
-    config: "RecognitionConfig" = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message="RecognitionConfig",
-    )
-    config_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class StreamingRecognitionResult(proto.Message):
-    r"""A streaming speech recognition result corresponding to a
-    portion of the audio that is currently being processed.
-
-    Attributes:
-        alternatives (MutableSequence[google.cloud.speech_v2.types.SpeechRecognitionAlternative]):
-            May contain one or more recognition
-            hypotheses. These alternatives are ordered in
-            terms of accuracy, with the top (first)
-            alternative being the most probable, as ranked
-            by the recognizer.
-        is_final (bool):
-            If ``false``, this
-            [StreamingRecognitionResult][google.cloud.speech.v2.StreamingRecognitionResult]
-            represents an interim result that may change. If ``true``,
-            this is the final time the speech service will return this
-            particular
-            [StreamingRecognitionResult][google.cloud.speech.v2.StreamingRecognitionResult],
-            the recognizer will not return any further hypotheses for
-            this portion of the transcript and corresponding audio.
-        stability (float):
-            An estimate of the likelihood that the recognizer will not
-            change its guess about this interim result. Values range
-            from 0.0 (completely unstable) to 1.0 (completely stable).
-            This field is only provided for interim results
-            ([is_final][google.cloud.speech.v2.StreamingRecognitionResult.is_final]=``false``).
-            The default of 0.0 is a sentinel value indicating
-            ``stability`` was not set.
-        result_end_offset (google.protobuf.duration_pb2.Duration):
-            Time offset of the end of this result
-            relative to the beginning of the audio.
-        channel_tag (int):
-            For multi-channel audio, this is the channel number
-            corresponding to the recognized result for the audio from
-            that channel. For ``audio_channel_count`` = ``N``, its
-            output values can range from ``1`` to ``N``.
-        language_code (str):
-            Output only. The
-            `BCP-47 <https://www.rfc-editor.org/rfc/bcp/bcp47.txt>`__
-            language tag of the language in this result. This language
-            code was detected to have the most likelihood of being
-            spoken in the audio.
-    """
-
-    alternatives: MutableSequence["SpeechRecognitionAlternative"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="SpeechRecognitionAlternative",
-    )
-    is_final: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    stability: float = proto.Field(
-        proto.FLOAT,
-        number=3,
-    )
-    result_end_offset: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=4,
-        message=duration_pb2.Duration,
-    )
-    channel_tag: int = proto.Field(
-        proto.INT32,
-        number=5,
-    )
-    language_code: str = proto.Field(
-        proto.STRING,
-        number=6,
-    )
-
-
-class StreamingRecognizeResponse(proto.Message):
-    r"""``StreamingRecognizeResponse`` is the only message returned to the
-    client by ``StreamingRecognize``. A series of zero or more
-    ``StreamingRecognizeResponse`` messages are streamed back to the
-    client. If there is no recognizable audio then no messages are
-    streamed back to the client.
-
-    Here are some examples of ``StreamingRecognizeResponse``\ s that
-    might be returned while processing audio:
-
-    1. results { alternatives { transcript: "tube" } stability: 0.01 }
-
-    2. results { alternatives { transcript: "to be a" } stability: 0.01
-       }
-
-    3. results { alternatives { transcript: "to be" } stability: 0.9 }
-       results { alternatives { transcript: " or not to be" } stability:
-       0.01 }
-
-    4. results { alternatives { transcript: "to be or not to be"
-       confidence: 0.92 } alternatives { transcript: "to bee or not to
-       bee" } is_final: true }
-
-    5. results { alternatives { transcript: " that's" } stability: 0.01
-       }
-
-    6. results { alternatives { transcript: " that is" } stability: 0.9
-       } results { alternatives { transcript: " the question" }
-       stability: 0.01 }
-
-    7. results { alternatives { transcript: " that is the question"
-       confidence: 0.98 } alternatives { transcript: " that was the
-       question" } is_final: true }
-
-    Notes:
-
-    -  Only two of the above responses #4 and #7 contain final results;
-       they are indicated by ``is_final: true``. Concatenating these
-       together generates the full transcript: "to be or not to be that
-       is the question".
-
-    -  The others contain interim ``results``. #3 and #6 contain two
-       interim ``results``: the first portion has a high stability and
-       is less likely to change; the second portion has a low stability
-       and is very likely to change. A UI designer might choose to show
-       only high stability ``results``.
-
-    -  The specific ``stability`` and ``confidence`` values shown above
-       are only for illustrative purposes. Actual values may vary.
-
-    -  In each response, only one of these fields will be set:
-       ``error``, ``speech_event_type``, or one or more (repeated)
-       ``results``.
-
-    Attributes:
-        results (MutableSequence[google.cloud.speech_v2.types.StreamingRecognitionResult]):
-            This repeated list contains zero or more results that
-            correspond to consecutive portions of the audio currently
-            being processed. It contains zero or one
-            [is_final][google.cloud.speech.v2.StreamingRecognitionResult.is_final]=``true``
-            result (the newly settled portion), followed by zero or more
-            [is_final][google.cloud.speech.v2.StreamingRecognitionResult.is_final]=``false``
-            results (the interim results).
-        speech_event_type (google.cloud.speech_v2.types.StreamingRecognizeResponse.SpeechEventType):
-            Indicates the type of speech event.
-        speech_event_offset (google.protobuf.duration_pb2.Duration):
-            Time offset between the beginning of the
-            audio and event emission.
-        metadata (google.cloud.speech_v2.types.RecognitionResponseMetadata):
-            Metadata about the recognition.
-    """
-
-    class SpeechEventType(proto.Enum):
-        r"""Indicates the type of speech event.
-
-        Values:
-            SPEECH_EVENT_TYPE_UNSPECIFIED (0):
-                No speech event specified.
-            END_OF_SINGLE_UTTERANCE (1):
-                This event indicates that the server has detected the end of
-                the user's speech utterance and expects no additional
-                speech. Therefore, the server will not process additional
-                audio and will close the gRPC bidirectional stream. This
-                event is only sent if there was a force cutoff due to
-                silence being detected early. This event is only available
-                through the ``latest_short``
-                [model][google.cloud.speech.v2.Recognizer.model].
-            SPEECH_ACTIVITY_BEGIN (2):
-                This event indicates that the server has detected the
-                beginning of human voice activity in the stream. This event
-                can be returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-            SPEECH_ACTIVITY_END (3):
-                This event indicates that the server has detected the end of
-                human voice activity in the stream. This event can be
-                returned multiple times if speech starts and stops
-                repeatedly throughout the stream. This event is only sent if
-                ``voice_activity_events`` is set to true.
-        """
-        SPEECH_EVENT_TYPE_UNSPECIFIED = 0
-        END_OF_SINGLE_UTTERANCE = 1
-        SPEECH_ACTIVITY_BEGIN = 2
-        SPEECH_ACTIVITY_END = 3
-
-    results: MutableSequence["StreamingRecognitionResult"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=6,
-        message="StreamingRecognitionResult",
-    )
-    speech_event_type: SpeechEventType = proto.Field(
-        proto.ENUM,
-        number=3,
-        enum=SpeechEventType,
-    )
-    speech_event_offset: duration_pb2.Duration = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=duration_pb2.Duration,
-    )
-    metadata: "RecognitionResponseMetadata" = proto.Field(
-        proto.MESSAGE,
-        number=5,
-        message="RecognitionResponseMetadata",
-    )
-
-
-class Config(proto.Message):
-    r"""Message representing the config for the Speech-to-Text API. This
-    includes an optional `KMS
-    key <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-    with which incoming data will be encrypted.
-
-    Attributes:
-        name (str):
-            Output only. The name of the config resource. There is
-            exactly one config resource per project per location. The
-            expected format is
-            ``projects/{project}/locations/{location}/config``.
-        kms_key_name (str):
-            Optional. An optional `KMS key
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-            that if present, will be used to encrypt Speech-to-Text
-            resources at-rest. Updating this key will not encrypt
-            existing resources using this key; only new resources will
-            be encrypted using this key. The expected format is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}``.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The most recent time this
-            resource was modified.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    kms_key_name: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=3,
-        message=timestamp_pb2.Timestamp,
-    )
-
-
-class GetConfigRequest(proto.Message):
-    r"""Request message for the
-    [GetConfig][google.cloud.speech.v2.Speech.GetConfig] method.
-
-    Attributes:
-        name (str):
-            Required. The name of the config to retrieve. There is
-            exactly one config resource per project per location. The
-            expected format is
-            ``projects/{project}/locations/{location}/config``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class UpdateConfigRequest(proto.Message):
-    r"""Request message for the
-    [UpdateConfig][google.cloud.speech.v2.Speech.UpdateConfig] method.
-
-    Attributes:
-        config (google.cloud.speech_v2.types.Config):
-            Required. The config to update.
-
-            The config's ``name`` field is used to identify the config
-            to be updated. The expected format is
-            ``projects/{project}/locations/{location}/config``.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated.
-    """
-
-    config: "Config" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="Config",
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-
-
-class CustomClass(proto.Message):
-    r"""CustomClass for biasing in speech recognition. Used to define
-    a set of words or phrases that represents a common concept or
-    theme likely to appear in your audio, for example a list of
-    passenger ship names.
-
-    Attributes:
-        name (str):
-            Output only. The resource name of the CustomClass. Format:
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-        uid (str):
-            Output only. System-assigned unique
-            identifier for the CustomClass.
-        display_name (str):
-            User-settable, human-readable name for the
-            CustomClass. Must be 63 characters or less.
-        items (MutableSequence[google.cloud.speech_v2.types.CustomClass.ClassItem]):
-            A collection of class items.
-        state (google.cloud.speech_v2.types.CustomClass.State):
-            Output only. The CustomClass lifecycle state.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Creation time.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The most recent time this
-            resource was modified.
-        delete_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this resource
-            was requested for deletion.
-        expire_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this resource
-            will be purged.
-        annotations (MutableMapping[str, str]):
-            Allows users to store small amounts of
-            arbitrary data. Both the key and the value must
-            be 63 characters or less each. At most 100
-            annotations.
-        etag (str):
-            Output only. This checksum is computed by the
-            server based on the value of other fields. This
-            may be sent on update, undelete, and delete
-            requests to ensure the client has an up-to-date
-            value before proceeding.
-        reconciling (bool):
-            Output only. Whether or not this CustomClass
-            is in the process of being updated.
-        kms_key_name (str):
-            Output only. The `KMS key
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-            with which the CustomClass is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}``.
-        kms_key_version_name (str):
-            Output only. The `KMS key version
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#key_versions>`__
-            with which the CustomClass is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}``.
-    """
-
-    class State(proto.Enum):
-        r"""Set of states that define the lifecycle of a CustomClass.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                Unspecified state.  This is only used/useful
-                for distinguishing unset values.
-            ACTIVE (2):
-                The normal and active state.
-            DELETED (4):
-                This CustomClass has been deleted.
-        """
-        STATE_UNSPECIFIED = 0
-        ACTIVE = 2
-        DELETED = 4
-
-    class ClassItem(proto.Message):
-        r"""An item of the class.
-
-        Attributes:
-            value (str):
-                The class item's value.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-    items: MutableSequence[ClassItem] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=5,
-        message=ClassItem,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=15,
-        enum=State,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=timestamp_pb2.Timestamp,
-    )
-    delete_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=timestamp_pb2.Timestamp,
-    )
-    expire_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message=timestamp_pb2.Timestamp,
-    )
-    annotations: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=10,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=11,
-    )
-    reconciling: bool = proto.Field(
-        proto.BOOL,
-        number=12,
-    )
-    kms_key_name: str = proto.Field(
-        proto.STRING,
-        number=13,
-    )
-    kms_key_version_name: str = proto.Field(
-        proto.STRING,
-        number=14,
-    )
-
-
-class PhraseSet(proto.Message):
-    r"""PhraseSet for biasing in speech recognition. A PhraseSet is
-    used to provide "hints" to the speech recognizer to favor
-    specific words and phrases in the results.
-
-    Attributes:
-        name (str):
-            Output only. The resource name of the PhraseSet. Format:
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-        uid (str):
-            Output only. System-assigned unique
-            identifier for the PhraseSet.
-        phrases (MutableSequence[google.cloud.speech_v2.types.PhraseSet.Phrase]):
-            A list of word and phrases.
-        boost (float):
-            Hint Boost. Positive value will increase the probability
-            that a specific phrase will be recognized over other similar
-            sounding phrases. The higher the boost, the higher the
-            chance of false positive recognition as well. Valid
-            ``boost`` values are between 0 (exclusive) and 20. We
-            recommend using a binary search approach to finding the
-            optimal value for your use case as well as adding phrases
-            both with and without boost to your requests.
-        display_name (str):
-            User-settable, human-readable name for the
-            PhraseSet. Must be 63 characters or less.
-        state (google.cloud.speech_v2.types.PhraseSet.State):
-            Output only. The PhraseSet lifecycle state.
-        create_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. Creation time.
-        update_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The most recent time this
-            resource was modified.
-        delete_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this resource
-            was requested for deletion.
-        expire_time (google.protobuf.timestamp_pb2.Timestamp):
-            Output only. The time at which this resource
-            will be purged.
-        annotations (MutableMapping[str, str]):
-            Allows users to store small amounts of
-            arbitrary data. Both the key and the value must
-            be 63 characters or less each. At most 100
-            annotations.
-        etag (str):
-            Output only. This checksum is computed by the
-            server based on the value of other fields. This
-            may be sent on update, undelete, and delete
-            requests to ensure the client has an up-to-date
-            value before proceeding.
-        reconciling (bool):
-            Output only. Whether or not this PhraseSet is
-            in the process of being updated.
-        kms_key_name (str):
-            Output only. The `KMS key
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#keys>`__
-            with which the PhraseSet is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}``.
-        kms_key_version_name (str):
-            Output only. The `KMS key version
-            name <https://cloud.google.com/kms/docs/resource-hierarchy#key_versions>`__
-            with which the PhraseSet is encrypted. The expected format
-            is
-            ``projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}``.
-    """
-
-    class State(proto.Enum):
-        r"""Set of states that define the lifecycle of a PhraseSet.
-
-        Values:
-            STATE_UNSPECIFIED (0):
-                Unspecified state.  This is only used/useful
-                for distinguishing unset values.
-            ACTIVE (2):
-                The normal and active state.
-            DELETED (4):
-                This PhraseSet has been deleted.
-        """
-        STATE_UNSPECIFIED = 0
-        ACTIVE = 2
-        DELETED = 4
-
-    class Phrase(proto.Message):
-        r"""A Phrase contains words and phrase "hints" so that the speech
-        recognition is more likely to recognize them. This can be used
-        to improve the accuracy for specific words and phrases, for
-        example, if specific commands are typically spoken by the user.
-        This can also be used to add additional words to the vocabulary
-        of the recognizer.
-
-        List items can also include CustomClass references containing
-        groups of words that represent common concepts that occur in
-        natural language.
-
-        Attributes:
-            value (str):
-                The phrase itself.
-            boost (float):
-                Hint Boost. Overrides the boost set at the
-                phrase set level. Positive value will increase
-                the probability that a specific phrase will be
-                recognized over other similar sounding phrases.
-                The higher the boost, the higher the chance of
-                false positive recognition as well. Negative
-                boost values would correspond to anti-biasing.
-                Anti-biasing is not enabled, so negative boost
-                values will return an error. Boost values must
-                be between 0 and 20. Any values outside that
-                range will return an error. We recommend using a
-                binary search approach to finding the optimal
-                value for your use case as well as adding
-                phrases both with and without boost to your
-                requests.
-        """
-
-        value: str = proto.Field(
-            proto.STRING,
-            number=1,
-        )
-        boost: float = proto.Field(
-            proto.FLOAT,
-            number=2,
-        )
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    uid: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-    phrases: MutableSequence[Phrase] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=3,
-        message=Phrase,
-    )
-    boost: float = proto.Field(
-        proto.FLOAT,
-        number=4,
-    )
-    display_name: str = proto.Field(
-        proto.STRING,
-        number=5,
-    )
-    state: State = proto.Field(
-        proto.ENUM,
-        number=15,
-        enum=State,
-    )
-    create_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=6,
-        message=timestamp_pb2.Timestamp,
-    )
-    update_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=7,
-        message=timestamp_pb2.Timestamp,
-    )
-    delete_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=8,
-        message=timestamp_pb2.Timestamp,
-    )
-    expire_time: timestamp_pb2.Timestamp = proto.Field(
-        proto.MESSAGE,
-        number=9,
-        message=timestamp_pb2.Timestamp,
-    )
-    annotations: MutableMapping[str, str] = proto.MapField(
-        proto.STRING,
-        proto.STRING,
-        number=10,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=11,
-    )
-    reconciling: bool = proto.Field(
-        proto.BOOL,
-        number=12,
-    )
-    kms_key_name: str = proto.Field(
-        proto.STRING,
-        number=13,
-    )
-    kms_key_version_name: str = proto.Field(
-        proto.STRING,
-        number=14,
-    )
-
-
-class CreateCustomClassRequest(proto.Message):
-    r"""Request message for the
-    [CreateCustomClass][google.cloud.speech.v2.Speech.CreateCustomClass]
-    method.
-
-    Attributes:
-        custom_class (google.cloud.speech_v2.types.CustomClass):
-            Required. The CustomClass to create.
-        validate_only (bool):
-            If set, validate the request and preview the
-            CustomClass, but do not actually create it.
-        custom_class_id (str):
-            The ID to use for the CustomClass, which will become the
-            final component of the CustomClass's resource name.
-
-            This value should be 4-63 characters, and valid characters
-            are /[a-z][0-9]-/.
-        parent (str):
-            Required. The project and location where this CustomClass
-            will be created. The expected format is
-            ``projects/{project}/locations/{location}``.
-    """
-
-    custom_class: "CustomClass" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="CustomClass",
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    custom_class_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    parent: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListCustomClassesRequest(proto.Message):
-    r"""Request message for the
-    [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-    method.
-
-    Attributes:
-        parent (str):
-            Required. The project and location of CustomClass resources
-            to list. The expected format is
-            ``projects/{project}/locations/{location}``.
-        page_size (int):
-            Number of results per requests. A valid page_size ranges
-            from 0 to 100 inclusive. If the page_size is zero or
-            unspecified, a page size of 5 will be chosen. If the page
-            size exceeds 100, it will be coerced down to 100. Note that
-            a call might return fewer results than the requested page
-            size.
-        page_token (str):
-            A page token, received from a previous
-            [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-            must match the call that provided the page token.
-        show_deleted (bool):
-            Whether, or not, to show resources that have
-            been deleted.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    show_deleted: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class ListCustomClassesResponse(proto.Message):
-    r"""Response message for the
-    [ListCustomClasses][google.cloud.speech.v2.Speech.ListCustomClasses]
-    method.
-
-    Attributes:
-        custom_classes (MutableSequence[google.cloud.speech_v2.types.CustomClass]):
-            The list of requested CustomClasses.
-        next_page_token (str):
-            A token, which can be sent as
-            [page_token][google.cloud.speech.v2.ListCustomClassesRequest.page_token]
-            to retrieve the next page. If this field is omitted, there
-            are no subsequent pages. This token expires after 72 hours.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    custom_classes: MutableSequence["CustomClass"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="CustomClass",
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetCustomClassRequest(proto.Message):
-    r"""Request message for the
-    [GetCustomClass][google.cloud.speech.v2.Speech.GetCustomClass]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the CustomClass to retrieve. The
-            expected format is
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class UpdateCustomClassRequest(proto.Message):
-    r"""Request message for the
-    [UpdateCustomClass][google.cloud.speech.v2.Speech.UpdateCustomClass]
-    method.
-
-    Attributes:
-        custom_class (google.cloud.speech_v2.types.CustomClass):
-            Required. The CustomClass to update.
-
-            The CustomClass's ``name`` field is used to identify the
-            CustomClass to update. Format:
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to be updated. If empty,
-            all fields are considered for update.
-        validate_only (bool):
-            If set, validate the request and preview the
-            updated CustomClass, but do not actually update
-            it.
-    """
-
-    custom_class: "CustomClass" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="CustomClass",
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class DeleteCustomClassRequest(proto.Message):
-    r"""Request message for the
-    [DeleteCustomClass][google.cloud.speech.v2.Speech.DeleteCustomClass]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the CustomClass to delete. Format:
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            deleted CustomClass, but do not actually delete
-            it.
-        allow_missing (bool):
-            If set to true, and the CustomClass is not
-            found, the request will succeed and  be a no-op
-            (no Operation is recorded in this case).
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    allow_missing: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class UndeleteCustomClassRequest(proto.Message):
-    r"""Request message for the
-    [UndeleteCustomClass][google.cloud.speech.v2.Speech.UndeleteCustomClass]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the CustomClass to undelete. Format:
-            ``projects/{project}/locations/{location}/customClasses/{custom_class}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            undeleted CustomClass, but do not actually
-            undelete it.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class CreatePhraseSetRequest(proto.Message):
-    r"""Request message for the
-    [CreatePhraseSet][google.cloud.speech.v2.Speech.CreatePhraseSet]
-    method.
-
-    Attributes:
-        phrase_set (google.cloud.speech_v2.types.PhraseSet):
-            Required. The PhraseSet to create.
-        validate_only (bool):
-            If set, validate the request and preview the
-            PhraseSet, but do not actually create it.
-        phrase_set_id (str):
-            The ID to use for the PhraseSet, which will become the final
-            component of the PhraseSet's resource name.
-
-            This value should be 4-63 characters, and valid characters
-            are /[a-z][0-9]-/.
-        parent (str):
-            Required. The project and location where this PhraseSet will
-            be created. The expected format is
-            ``projects/{project}/locations/{location}``.
-    """
-
-    phrase_set: "PhraseSet" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="PhraseSet",
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    phrase_set_id: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    parent: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-class ListPhraseSetsRequest(proto.Message):
-    r"""Request message for the
-    [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-    method.
-
-    Attributes:
-        parent (str):
-            Required. The project and location of PhraseSet resources to
-            list. The expected format is
-            ``projects/{project}/locations/{location}``.
-        page_size (int):
-            The maximum number of PhraseSets to return.
-            The service may return fewer than this value. If
-            unspecified, at most 5 PhraseSets will be
-            returned. The maximum value is 100; values above
-            100 will be coerced to 100.
-        page_token (str):
-            A page token, received from a previous
-            [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-            call. Provide this to retrieve the subsequent page.
-
-            When paginating, all other parameters provided to
-            [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-            must match the call that provided the page token.
-        show_deleted (bool):
-            Whether, or not, to show resources that have
-            been deleted.
-    """
-
-    parent: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    page_size: int = proto.Field(
-        proto.INT32,
-        number=2,
-    )
-    page_token: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-    show_deleted: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class ListPhraseSetsResponse(proto.Message):
-    r"""Response message for the
-    [ListPhraseSets][google.cloud.speech.v2.Speech.ListPhraseSets]
-    method.
-
-    Attributes:
-        phrase_sets (MutableSequence[google.cloud.speech_v2.types.PhraseSet]):
-            The list of requested PhraseSets.
-        next_page_token (str):
-            A token, which can be sent as
-            [page_token][google.cloud.speech.v2.ListPhraseSetsRequest.page_token]
-            to retrieve the next page. If this field is omitted, there
-            are no subsequent pages. This token expires after 72 hours.
-    """
-
-    @property
-    def raw_page(self):
-        return self
-
-    phrase_sets: MutableSequence["PhraseSet"] = proto.RepeatedField(
-        proto.MESSAGE,
-        number=1,
-        message="PhraseSet",
-    )
-    next_page_token: str = proto.Field(
-        proto.STRING,
-        number=2,
-    )
-
-
-class GetPhraseSetRequest(proto.Message):
-    r"""Request message for the
-    [GetPhraseSet][google.cloud.speech.v2.Speech.GetPhraseSet] method.
-
-    Attributes:
-        name (str):
-            Required. The name of the PhraseSet to retrieve. The
-            expected format is
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-
-
-class UpdatePhraseSetRequest(proto.Message):
-    r"""Request message for the
-    [UpdatePhraseSet][google.cloud.speech.v2.Speech.UpdatePhraseSet]
-    method.
-
-    Attributes:
-        phrase_set (google.cloud.speech_v2.types.PhraseSet):
-            Required. The PhraseSet to update.
-
-            The PhraseSet's ``name`` field is used to identify the
-            PhraseSet to update. Format:
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``.
-        update_mask (google.protobuf.field_mask_pb2.FieldMask):
-            The list of fields to update. If empty, all non-default
-            valued fields are considered for update. Use ``*`` to update
-            the entire PhraseSet resource.
-        validate_only (bool):
-            If set, validate the request and preview the
-            updated PhraseSet, but do not actually update
-            it.
-    """
-
-    phrase_set: "PhraseSet" = proto.Field(
-        proto.MESSAGE,
-        number=1,
-        message="PhraseSet",
-    )
-    update_mask: field_mask_pb2.FieldMask = proto.Field(
-        proto.MESSAGE,
-        number=2,
-        message=field_mask_pb2.FieldMask,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-
-
-class DeletePhraseSetRequest(proto.Message):
-    r"""Request message for the
-    [DeletePhraseSet][google.cloud.speech.v2.Speech.DeletePhraseSet]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the PhraseSet to delete. Format:
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            deleted PhraseSet, but do not actually delete
-            it.
-        allow_missing (bool):
-            If set to true, and the PhraseSet is not
-            found, the request will succeed and  be a no-op
-            (no Operation is recorded in this case).
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=2,
-    )
-    allow_missing: bool = proto.Field(
-        proto.BOOL,
-        number=4,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=3,
-    )
-
-
-class UndeletePhraseSetRequest(proto.Message):
-    r"""Request message for the
-    [UndeletePhraseSet][google.cloud.speech.v2.Speech.UndeletePhraseSet]
-    method.
-
-    Attributes:
-        name (str):
-            Required. The name of the PhraseSet to undelete. Format:
-            ``projects/{project}/locations/{location}/phraseSets/{phrase_set}``
-        validate_only (bool):
-            If set, validate the request and preview the
-            undeleted PhraseSet, but do not actually
-            undelete it.
-        etag (str):
-            This checksum is computed by the server based
-            on the value of other fields. This may be sent
-            on update, undelete, and delete requests to
-            ensure the client has an up-to-date value before
-            proceeding.
-    """
-
-    name: str = proto.Field(
-        proto.STRING,
-        number=1,
-    )
-    validate_only: bool = proto.Field(
-        proto.BOOL,
-        number=3,
-    )
-    etag: str = proto.Field(
-        proto.STRING,
-        number=4,
-    )
-
-
-__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/mypy.ini b/mypy.ini
deleted file mode 100644
index 574c5aed..00000000
--- a/mypy.ini
+++ /dev/null
@@ -1,3 +0,0 @@
-[mypy]
-python_version = 3.7
-namespace_packages = True
diff --git a/noxfile.py b/noxfile.py
deleted file mode 100644
index 54abbaab..00000000
--- a/noxfile.py
+++ /dev/null
@@ -1,428 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-
-from __future__ import absolute_import
-
-import os
-import pathlib
-import re
-import shutil
-from typing import Dict, List
-import warnings
-
-import nox
-
-FLAKE8_VERSION = "flake8==6.1.0"
-BLACK_VERSION = "black[jupyter]==23.7.0"
-ISORT_VERSION = "isort==5.11.0"
-LINT_PATHS = ["docs", "google", "tests", "noxfile.py", "setup.py"]
-
-DEFAULT_PYTHON_VERSION = "3.8"
-
-UNIT_TEST_PYTHON_VERSIONS: List[str] = ["3.7", "3.8", "3.9", "3.10", "3.11"]
-UNIT_TEST_STANDARD_DEPENDENCIES = [
-    "mock",
-    "asyncmock",
-    "pytest",
-    "pytest-cov",
-    "pytest-asyncio",
-]
-UNIT_TEST_EXTERNAL_DEPENDENCIES: List[str] = []
-UNIT_TEST_LOCAL_DEPENDENCIES: List[str] = []
-UNIT_TEST_DEPENDENCIES: List[str] = []
-UNIT_TEST_EXTRAS: List[str] = []
-UNIT_TEST_EXTRAS_BY_PYTHON: Dict[str, List[str]] = {}
-
-SYSTEM_TEST_PYTHON_VERSIONS: List[str] = ["3.8"]
-SYSTEM_TEST_STANDARD_DEPENDENCIES: List[str] = [
-    "mock",
-    "pytest",
-    "google-cloud-testutils",
-]
-SYSTEM_TEST_EXTERNAL_DEPENDENCIES: List[str] = []
-SYSTEM_TEST_LOCAL_DEPENDENCIES: List[str] = []
-SYSTEM_TEST_DEPENDENCIES: List[str] = []
-SYSTEM_TEST_EXTRAS: List[str] = []
-SYSTEM_TEST_EXTRAS_BY_PYTHON: Dict[str, List[str]] = {}
-
-CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute()
-
-# 'docfx' is excluded since it only needs to run in 'docs-presubmit'
-nox.options.sessions = [
-    "unit",
-    "system",
-    "cover",
-    "lint",
-    "lint_setup_py",
-    "blacken",
-    "docs",
-    "format",
-]
-
-# Error if a python version is missing
-nox.options.error_on_missing_interpreters = True
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def lint(session):
-    """Run linters.
-
-    Returns a failure if the linters find linting errors or sufficiently
-    serious code quality issues.
-    """
-    session.install(FLAKE8_VERSION, BLACK_VERSION)
-    session.run(
-        "black",
-        "--check",
-        *LINT_PATHS,
-    )
-    session.run("flake8", "google", "tests")
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def blacken(session):
-    """Run black. Format code to uniform standard."""
-    session.install(BLACK_VERSION)
-    session.run(
-        "black",
-        *LINT_PATHS,
-    )
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def format(session):
-    """
-    Run isort to sort imports. Then run black
-    to format code to uniform standard.
-    """
-    session.install(BLACK_VERSION, ISORT_VERSION)
-    # Use the --fss option to sort imports using strict alphabetical order.
-    # See https://pycqa.github.io/isort/docs/configuration/options.html#force-sort-within-sections
-    session.run(
-        "isort",
-        "--fss",
-        *LINT_PATHS,
-    )
-    session.run(
-        "black",
-        *LINT_PATHS,
-    )
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def lint_setup_py(session):
-    """Verify that setup.py is valid (including RST check)."""
-    session.install("docutils", "pygments")
-    session.run("python", "setup.py", "check", "--restructuredtext", "--strict")
-
-
-def install_unittest_dependencies(session, *constraints):
-    standard_deps = UNIT_TEST_STANDARD_DEPENDENCIES + UNIT_TEST_DEPENDENCIES
-    session.install(*standard_deps, *constraints)
-
-    if UNIT_TEST_EXTERNAL_DEPENDENCIES:
-        warnings.warn(
-            "'unit_test_external_dependencies' is deprecated. Instead, please "
-            "use 'unit_test_dependencies' or 'unit_test_local_dependencies'.",
-            DeprecationWarning,
-        )
-        session.install(*UNIT_TEST_EXTERNAL_DEPENDENCIES, *constraints)
-
-    if UNIT_TEST_LOCAL_DEPENDENCIES:
-        session.install(*UNIT_TEST_LOCAL_DEPENDENCIES, *constraints)
-
-    if UNIT_TEST_EXTRAS_BY_PYTHON:
-        extras = UNIT_TEST_EXTRAS_BY_PYTHON.get(session.python, [])
-    elif UNIT_TEST_EXTRAS:
-        extras = UNIT_TEST_EXTRAS
-    else:
-        extras = []
-
-    if extras:
-        session.install("-e", f".[{','.join(extras)}]", *constraints)
-    else:
-        session.install("-e", ".", *constraints)
-
-
-def default(session):
-    # Install all test dependencies, then install this package in-place.
-
-    constraints_path = str(
-        CURRENT_DIRECTORY / "testing" / f"constraints-{session.python}.txt"
-    )
-    install_unittest_dependencies(session, "-c", constraints_path)
-
-    # Run py.test against the unit tests.
-    session.run(
-        "py.test",
-        "--quiet",
-        f"--junitxml=unit_{session.python}_sponge_log.xml",
-        "--cov=google",
-        "--cov=tests/unit",
-        "--cov-append",
-        "--cov-config=.coveragerc",
-        "--cov-report=",
-        "--cov-fail-under=0",
-        os.path.join("tests", "unit"),
-        *session.posargs,
-    )
-
-
-@nox.session(python=UNIT_TEST_PYTHON_VERSIONS)
-def unit(session):
-    """Run the unit test suite."""
-    default(session)
-
-
-def install_systemtest_dependencies(session, *constraints):
-    # Use pre-release gRPC for system tests.
-    # Exclude version 1.52.0rc1 which has a known issue.
-    # See https://github.com/grpc/grpc/issues/32163
-    session.install("--pre", "grpcio!=1.52.0rc1")
-
-    session.install(*SYSTEM_TEST_STANDARD_DEPENDENCIES, *constraints)
-
-    if SYSTEM_TEST_EXTERNAL_DEPENDENCIES:
-        session.install(*SYSTEM_TEST_EXTERNAL_DEPENDENCIES, *constraints)
-
-    if SYSTEM_TEST_LOCAL_DEPENDENCIES:
-        session.install("-e", *SYSTEM_TEST_LOCAL_DEPENDENCIES, *constraints)
-
-    if SYSTEM_TEST_DEPENDENCIES:
-        session.install("-e", *SYSTEM_TEST_DEPENDENCIES, *constraints)
-
-    if SYSTEM_TEST_EXTRAS_BY_PYTHON:
-        extras = SYSTEM_TEST_EXTRAS_BY_PYTHON.get(session.python, [])
-    elif SYSTEM_TEST_EXTRAS:
-        extras = SYSTEM_TEST_EXTRAS
-    else:
-        extras = []
-
-    if extras:
-        session.install("-e", f".[{','.join(extras)}]", *constraints)
-    else:
-        session.install("-e", ".", *constraints)
-
-
-@nox.session(python=SYSTEM_TEST_PYTHON_VERSIONS)
-def system(session):
-    """Run the system test suite."""
-    constraints_path = str(
-        CURRENT_DIRECTORY / "testing" / f"constraints-{session.python}.txt"
-    )
-    system_test_path = os.path.join("tests", "system.py")
-    system_test_folder_path = os.path.join("tests", "system")
-
-    # Check the value of `RUN_SYSTEM_TESTS` env var. It defaults to true.
-    if os.environ.get("RUN_SYSTEM_TESTS", "true") == "false":
-        session.skip("RUN_SYSTEM_TESTS is set to false, skipping")
-    # Install pyopenssl for mTLS testing.
-    if os.environ.get("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") == "true":
-        session.install("pyopenssl")
-
-    system_test_exists = os.path.exists(system_test_path)
-    system_test_folder_exists = os.path.exists(system_test_folder_path)
-    # Sanity check: only run tests if found.
-    if not system_test_exists and not system_test_folder_exists:
-        session.skip("System tests were not found")
-
-    install_systemtest_dependencies(session, "-c", constraints_path)
-
-    # Run py.test against the system tests.
-    if system_test_exists:
-        session.run(
-            "py.test",
-            "--quiet",
-            f"--junitxml=system_{session.python}_sponge_log.xml",
-            system_test_path,
-            *session.posargs,
-        )
-    if system_test_folder_exists:
-        session.run(
-            "py.test",
-            "--quiet",
-            f"--junitxml=system_{session.python}_sponge_log.xml",
-            system_test_folder_path,
-            *session.posargs,
-        )
-
-
-@nox.session(python=DEFAULT_PYTHON_VERSION)
-def cover(session):
-    """Run the final coverage report.
-
-    This outputs the coverage report aggregating coverage from the unit
-    test runs (not system test runs), and then erases coverage data.
-    """
-    session.install("coverage", "pytest-cov")
-    session.run("coverage", "report", "--show-missing", "--fail-under=100")
-
-    session.run("coverage", "erase")
-
-
-@nox.session(python="3.9")
-def docs(session):
-    """Build the docs for this library."""
-
-    session.install("-e", ".")
-    session.install(
-        "sphinx==4.0.1",
-        "alabaster",
-        "recommonmark",
-    )
-
-    shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
-    session.run(
-        "sphinx-build",
-        "-W",  # warnings as errors
-        "-T",  # show full traceback on exception
-        "-N",  # no colors
-        "-b",
-        "html",
-        "-d",
-        os.path.join("docs", "_build", "doctrees", ""),
-        os.path.join("docs", ""),
-        os.path.join("docs", "_build", "html", ""),
-    )
-
-
-@nox.session(python="3.9")
-def docfx(session):
-    """Build the docfx yaml files for this library."""
-
-    session.install("-e", ".")
-    session.install(
-        "gcp-sphinx-docfx-yaml",
-        "alabaster",
-        "recommonmark",
-    )
-
-    shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
-    session.run(
-        "sphinx-build",
-        "-T",  # show full traceback on exception
-        "-N",  # no colors
-        "-D",
-        (
-            "extensions=sphinx.ext.autodoc,"
-            "sphinx.ext.autosummary,"
-            "docfx_yaml.extension,"
-            "sphinx.ext.intersphinx,"
-            "sphinx.ext.coverage,"
-            "sphinx.ext.napoleon,"
-            "sphinx.ext.todo,"
-            "sphinx.ext.viewcode,"
-            "recommonmark"
-        ),
-        "-b",
-        "html",
-        "-d",
-        os.path.join("docs", "_build", "doctrees", ""),
-        os.path.join("docs", ""),
-        os.path.join("docs", "_build", "html", ""),
-    )
-
-
-@nox.session(python=SYSTEM_TEST_PYTHON_VERSIONS)
-def prerelease_deps(session):
-    """Run all tests with prerelease versions of dependencies installed."""
-
-    # Install all dependencies
-    session.install("-e", ".[all, tests, tracing]")
-    unit_deps_all = UNIT_TEST_STANDARD_DEPENDENCIES + UNIT_TEST_EXTERNAL_DEPENDENCIES
-    session.install(*unit_deps_all)
-    system_deps_all = (
-        SYSTEM_TEST_STANDARD_DEPENDENCIES + SYSTEM_TEST_EXTERNAL_DEPENDENCIES
-    )
-    session.install(*system_deps_all)
-
-    # Because we test minimum dependency versions on the minimum Python
-    # version, the first version we test with in the unit tests sessions has a
-    # constraints file containing all dependencies and extras.
-    with open(
-        CURRENT_DIRECTORY
-        / "testing"
-        / f"constraints-{UNIT_TEST_PYTHON_VERSIONS[0]}.txt",
-        encoding="utf-8",
-    ) as constraints_file:
-        constraints_text = constraints_file.read()
-
-    # Ignore leading whitespace and comment lines.
-    constraints_deps = [
-        match.group(1)
-        for match in re.finditer(
-            r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE
-        )
-    ]
-
-    session.install(*constraints_deps)
-
-    prerel_deps = [
-        "protobuf",
-        # dependency of grpc
-        "six",
-        "googleapis-common-protos",
-        # Exclude version 1.52.0rc1 which has a known issue. See https://github.com/grpc/grpc/issues/32163
-        "grpcio!=1.52.0rc1",
-        "grpcio-status",
-        "google-api-core",
-        "google-auth",
-        "proto-plus",
-        "google-cloud-testutils",
-        # dependencies of google-cloud-testutils"
-        "click",
-    ]
-
-    for dep in prerel_deps:
-        session.install("--pre", "--no-deps", "--upgrade", dep)
-
-    # Remaining dependencies
-    other_deps = [
-        "requests",
-    ]
-    session.install(*other_deps)
-
-    # Print out prerelease package versions
-    session.run(
-        "python", "-c", "import google.protobuf; print(google.protobuf.__version__)"
-    )
-    session.run("python", "-c", "import grpc; print(grpc.__version__)")
-    session.run("python", "-c", "import google.auth; print(google.auth.__version__)")
-
-    session.run("py.test", "tests/unit")
-
-    system_test_path = os.path.join("tests", "system.py")
-    system_test_folder_path = os.path.join("tests", "system")
-
-    # Only run system tests if found.
-    if os.path.exists(system_test_path):
-        session.run(
-            "py.test",
-            "--verbose",
-            f"--junitxml=system_{session.python}_sponge_log.xml",
-            system_test_path,
-            *session.posargs,
-        )
-    if os.path.exists(system_test_folder_path):
-        session.run(
-            "py.test",
-            "--verbose",
-            f"--junitxml=system_{session.python}_sponge_log.xml",
-            system_test_folder_path,
-            *session.posargs,
-        )
diff --git a/owlbot.py b/owlbot.py
deleted file mode 100644
index 4bf4e673..00000000
--- a/owlbot.py
+++ /dev/null
@@ -1,85 +0,0 @@
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import json
-from pathlib import Path
-import shutil
-
-import synthtool as s
-import synthtool.gcp as gcp
-from synthtool.languages import python
-
-# ----------------------------------------------------------------------------
-# Copy the generated client from the owl-bot staging directory
-# ----------------------------------------------------------------------------
-
-clean_up_generated_samples = True
-
-# Load the default version defined in .repo-metadata.json.
-default_version = json.load(open(".repo-metadata.json", "rt")).get(
-    "default_version"
-)
-
-for library in s.get_staging_dirs(default_version):
-    if clean_up_generated_samples:
-        shutil.rmtree("samples/generated_samples", ignore_errors=True)
-        clean_up_generated_samples = False
-
-    if "v1" in library.name:
-        # Add the manually written SpeechHelpers to v1 and v1p1beta1
-        # See google/cloud/speech_v1/helpers.py for details
-        count = s.replace(library / f"google/cloud/speech_{library.name}/__init__.py",
-                            """__all__ = \(""",
-                            """from google.cloud.speech_v1.helpers import SpeechHelpers
-
-class SpeechClient(SpeechHelpers, SpeechClient):
-    __doc__ = SpeechClient.__doc__
-
-__all__ = (
-                        """,
-                    )
-        assert count == 1
-
-    if library.name == "v1":
-        # Import from speech_v1 to get the client with SpeechHelpers
-        count = s.replace(library / "google/cloud/speech/__init__.py",
-            """from google\.cloud\.speech_v1\.services\.speech\.client import SpeechClient""",
-            """from google.cloud.speech_v1 import SpeechClient"""
-            )
-        assert count == 1
-
-    s.replace(
-        library / "google/cloud/speech_v*/__init__.py",
-        "from google.cloud.speech import gapic_version as package_version",
-        f"from google.cloud.speech_{library.name} import gapic_version as package_version",
-    )
-    s.move([library], excludes=["**/gapic_version.py"])
-s.remove_staging_dirs()
-
-# ----------------------------------------------------------------------------
-# Add templated files
-# ----------------------------------------------------------------------------
-
-templated_files = gcp.CommonTemplates().py_library(
-    cov_level=100,
-    microgenerator=True,
-    versions=gcp.common.detect_versions(path="./google", default_first=True),
-)
-s.move(templated_files, excludes=[".coveragerc", ".github/release-please.yml"])
-
-python.py_samples(skip_readmes=True)
-
-# run format session for all directories which have a noxfile
-for noxfile in Path(".").glob("**/noxfile.py"):
-    s.shell.run(["nox", "-s", "blacken"], cwd=noxfile.parent, hide_output=False)
diff --git a/pylint.config.py b/pylint.config.py
deleted file mode 100644
index 5d64b9d2..00000000
--- a/pylint.config.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# Copyright 2017 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""This module is used to configure gcp-devrel-py-tools run-pylint."""
-
-# Library configuration
-
-# library_additions = {}
-# library_replacements = {}
-
-# Test configuration
-
-# test_additions = copy.deepcopy(library_additions)
-# test_replacements = copy.deepcopy(library_replacements)
diff --git a/release-please-config.json b/release-please-config.json
deleted file mode 100644
index 25ee9d59..00000000
--- a/release-please-config.json
+++ /dev/null
@@ -1,37 +0,0 @@
-{
-    "$schema": "https://raw.githubusercontent.com/googleapis/release-please/main/schemas/config.json",
-    "packages": {
-      ".": {
-        "release-type": "python",
-        "extra-files": [
-          "google/cloud/speech_v2/gapic_version.py",
-          "google/cloud/speech_v1/gapic_version.py",
-          "google/cloud/speech_v1p1beta1/gapic_version.py",
-          "google/cloud/speech/gapic_version.py",
-          {
-            "type": "json",
-            "path": "samples/generated_samples/snippet_metadata_google.cloud.speech.v1p1beta1.json",
-            "jsonpath": "$.clientLibrary.version"
-          },
-          {
-            "type": "json",
-            "path": "samples/generated_samples/snippet_metadata_google.cloud.speech.v2.json",
-            "jsonpath": "$.clientLibrary.version"
-          },
-          {
-            "type": "json",
-            "path": "samples/generated_samples/snippet_metadata_google.cloud.speech.v1.json",
-            "jsonpath": "$.clientLibrary.version"
-          }
-        ]
-      }
-    },
-    "release-type": "python",
-    "plugins": [
-      {
-        "type": "sentence-case"
-      }
-    ],
-    "initial-version": "0.1.0"
-}
-  
\ No newline at end of file
diff --git a/renovate.json b/renovate.json
deleted file mode 100644
index 39b2a0ec..00000000
--- a/renovate.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "extends": [
-    "config:base",
-    "group:all",
-    ":preserveSemverRanges",
-    ":disableDependencyDashboard"
-  ],
-  "ignorePaths": [".pre-commit-config.yaml", ".kokoro/requirements.txt", "setup.py"],
-  "pip_requirements": {
-    "fileMatch": ["requirements-test.txt", "samples/[\\S/]*constraints.txt", "samples/[\\S/]*constraints-test.txt"]
-  }
-}
diff --git a/samples/generated_samples/snippet_metadata_google.cloud.speech.v1.json b/samples/generated_samples/snippet_metadata_google.cloud.speech.v1.json
deleted file mode 100644
index 6aeaa8a6..00000000
--- a/samples/generated_samples/snippet_metadata_google.cloud.speech.v1.json
+++ /dev/null
@@ -1,2152 +0,0 @@
-{
-  "clientLibrary": {
-    "apis": [
-      {
-        "id": "google.cloud.speech.v1",
-        "version": "v1"
-      }
-    ],
-    "language": "PYTHON",
-    "name": "google-cloud-speech",
-    "version": "2.21.1"
-  },
-  "snippets": [
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationAsyncClient",
-          "shortName": "AdaptationAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationAsyncClient.create_custom_class",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.CreateCustomClass",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "CreateCustomClass"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.CreateCustomClassRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "custom_class",
-            "type": "google.cloud.speech_v1.types.CustomClass"
-          },
-          {
-            "name": "custom_class_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.CustomClass",
-        "shortName": "create_custom_class"
-      },
-      "description": "Sample for CreateCustomClass",
-      "file": "speech_v1_generated_adaptation_create_custom_class_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_CreateCustomClass_async",
-      "segments": [
-        {
-          "end": 52,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 52,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 46,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 49,
-          "start": 47,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 53,
-          "start": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_create_custom_class_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationClient",
-          "shortName": "AdaptationClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationClient.create_custom_class",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.CreateCustomClass",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "CreateCustomClass"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.CreateCustomClassRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "custom_class",
-            "type": "google.cloud.speech_v1.types.CustomClass"
-          },
-          {
-            "name": "custom_class_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.CustomClass",
-        "shortName": "create_custom_class"
-      },
-      "description": "Sample for CreateCustomClass",
-      "file": "speech_v1_generated_adaptation_create_custom_class_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_CreateCustomClass_sync",
-      "segments": [
-        {
-          "end": 52,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 52,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 46,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 49,
-          "start": 47,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 53,
-          "start": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_create_custom_class_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationAsyncClient",
-          "shortName": "AdaptationAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationAsyncClient.create_phrase_set",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.CreatePhraseSet",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "CreatePhraseSet"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.CreatePhraseSetRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "phrase_set",
-            "type": "google.cloud.speech_v1.types.PhraseSet"
-          },
-          {
-            "name": "phrase_set_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.PhraseSet",
-        "shortName": "create_phrase_set"
-      },
-      "description": "Sample for CreatePhraseSet",
-      "file": "speech_v1_generated_adaptation_create_phrase_set_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_CreatePhraseSet_async",
-      "segments": [
-        {
-          "end": 52,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 52,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 46,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 49,
-          "start": 47,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 53,
-          "start": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_create_phrase_set_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationClient",
-          "shortName": "AdaptationClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationClient.create_phrase_set",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.CreatePhraseSet",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "CreatePhraseSet"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.CreatePhraseSetRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "phrase_set",
-            "type": "google.cloud.speech_v1.types.PhraseSet"
-          },
-          {
-            "name": "phrase_set_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.PhraseSet",
-        "shortName": "create_phrase_set"
-      },
-      "description": "Sample for CreatePhraseSet",
-      "file": "speech_v1_generated_adaptation_create_phrase_set_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_CreatePhraseSet_sync",
-      "segments": [
-        {
-          "end": 52,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 52,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 46,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 49,
-          "start": 47,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 53,
-          "start": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_create_phrase_set_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationAsyncClient",
-          "shortName": "AdaptationAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationAsyncClient.delete_custom_class",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.DeleteCustomClass",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "DeleteCustomClass"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.DeleteCustomClassRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "delete_custom_class"
-      },
-      "description": "Sample for DeleteCustomClass",
-      "file": "speech_v1_generated_adaptation_delete_custom_class_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_DeleteCustomClass_async",
-      "segments": [
-        {
-          "end": 49,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 49,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_delete_custom_class_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationClient",
-          "shortName": "AdaptationClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationClient.delete_custom_class",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.DeleteCustomClass",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "DeleteCustomClass"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.DeleteCustomClassRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "delete_custom_class"
-      },
-      "description": "Sample for DeleteCustomClass",
-      "file": "speech_v1_generated_adaptation_delete_custom_class_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_DeleteCustomClass_sync",
-      "segments": [
-        {
-          "end": 49,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 49,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_delete_custom_class_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationAsyncClient",
-          "shortName": "AdaptationAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationAsyncClient.delete_phrase_set",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.DeletePhraseSet",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "DeletePhraseSet"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.DeletePhraseSetRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "delete_phrase_set"
-      },
-      "description": "Sample for DeletePhraseSet",
-      "file": "speech_v1_generated_adaptation_delete_phrase_set_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_DeletePhraseSet_async",
-      "segments": [
-        {
-          "end": 49,
-          "start": 27,
-          "type": "FULL"
-        },
-        {
-          "end": 49,
-          "start": 27,
-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 50,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1_generated_adaptation_delete_phrase_set_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.AdaptationClient",
-          "shortName": "AdaptationClient"
-        },
-        "fullName": "google.cloud.speech_v1.AdaptationClient.delete_phrase_set",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Adaptation.DeletePhraseSet",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "DeletePhraseSet"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.DeletePhraseSetRequest"
-          },
-          {
-            "name": "name",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "shortName": "delete_phrase_set"
-      },
-      "description": "Sample for DeletePhraseSet",
-      "file": "speech_v1_generated_adaptation_delete_phrase_set_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Adaptation_DeletePhraseSet_sync",
-      "segments": [
-        {
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-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.PhraseSet",
-        "shortName": "update_phrase_set"
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-      "description": "Sample for UpdatePhraseSet",
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-            "name": "metadata",
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-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.PhraseSet",
-        "shortName": "update_phrase_set"
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-      "description": "Sample for UpdatePhraseSet",
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-            "fullName": "google.cloud.speech.v1.Speech",
-            "shortName": "Speech"
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-          "shortName": "LongRunningRecognize"
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-            "type": "google.cloud.speech_v1.types.LongRunningRecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1.types.RecognitionConfig"
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-          {
-            "name": "audio",
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-            "type": "float"
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-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "long_running_recognize"
-      },
-      "description": "Sample for LongRunningRecognize",
-      "file": "speech_v1_generated_speech_long_running_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Speech_LongRunningRecognize_async",
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-        }
-      ],
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-    },
-    {
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-      "clientMethod": {
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-          "shortName": "SpeechClient"
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-        "method": {
-          "fullName": "google.cloud.speech.v1.Speech.LongRunningRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "LongRunningRecognize"
-        },
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-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1.types.LongRunningRecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1.types.RecognitionConfig"
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-          {
-            "name": "audio",
-            "type": "google.cloud.speech_v1.types.RecognitionAudio"
-          },
-          {
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-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "long_running_recognize"
-      },
-      "description": "Sample for LongRunningRecognize",
-      "file": "speech_v1_generated_speech_long_running_recognize_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Speech_LongRunningRecognize_sync",
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-    },
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-      "clientMethod": {
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-          "shortName": "SpeechAsyncClient"
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-        "fullName": "google.cloud.speech_v1.SpeechAsyncClient.recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v1.Speech.Recognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "Recognize"
-        },
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-            "type": "google.cloud.speech_v1.types.RecognizeRequest"
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-          {
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-            "type": "google.cloud.speech_v1.types.RecognitionConfig"
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-          {
-            "name": "audio",
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-          {
-            "name": "timeout",
-            "type": "float"
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-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.RecognizeResponse",
-        "shortName": "recognize"
-      },
-      "description": "Sample for Recognize",
-      "file": "speech_v1_generated_speech_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Speech_Recognize_async",
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-          "start": 38,
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-          "end": 55,
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-          "end": 59,
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-      ],
-      "title": "speech_v1_generated_speech_recognize_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.SpeechClient",
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-            "name": "request",
-            "type": "google.cloud.speech_v1.types.RecognizeRequest"
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-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1.types.RecognitionConfig"
-          },
-          {
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-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1.types.RecognizeResponse",
-        "shortName": "recognize"
-      },
-      "description": "Sample for Recognize",
-      "file": "speech_v1_generated_speech_recognize_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1_generated_Speech_Recognize_sync",
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-            "fullName": "google.cloud.speech.v1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "StreamingRecognize"
-        },
-        "parameters": [
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-            "name": "requests",
-            "type": "Iterator[google.cloud.speech_v1.types.StreamingRecognizeRequest]"
-          },
-          {
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-            "name": "timeout",
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-          }
-        ],
-        "resultType": "Iterable[google.cloud.speech_v1.types.StreamingRecognizeResponse]",
-        "shortName": "streaming_recognize"
-      },
-      "description": "Sample for StreamingRecognize",
-      "file": "speech_v1_generated_speech_streaming_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
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-        }
-      ],
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-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1.SpeechClient",
-          "shortName": "SpeechClient"
-        },
-        "fullName": "google.cloud.speech_v1.SpeechClient.streaming_recognize",
-        "method": {
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-            "fullName": "google.cloud.speech.v1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "StreamingRecognize"
-        },
-        "parameters": [
-          {
-            "name": "requests",
-            "type": "Iterator[google.cloud.speech_v1.types.StreamingRecognizeRequest]"
-          },
-          {
-            "name": "retry",
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-          {
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-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "Iterable[google.cloud.speech_v1.types.StreamingRecognizeResponse]",
-        "shortName": "streaming_recognize"
-      },
-      "description": "Sample for StreamingRecognize",
-      "file": "speech_v1_generated_speech_streaming_recognize_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
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-        }
-      ],
-      "title": "speech_v1_generated_speech_streaming_recognize_sync.py"
-    }
-  ]
-}
diff --git a/samples/generated_samples/snippet_metadata_google.cloud.speech.v1p1beta1.json b/samples/generated_samples/snippet_metadata_google.cloud.speech.v1p1beta1.json
deleted file mode 100644
index 2a55c0e1..00000000
--- a/samples/generated_samples/snippet_metadata_google.cloud.speech.v1p1beta1.json
+++ /dev/null
@@ -1,2152 +0,0 @@
-{
-  "clientLibrary": {
-    "apis": [
-      {
-        "id": "google.cloud.speech.v1p1beta1",
-        "version": "v1p1beta1"
-      }
-    ],
-    "language": "PYTHON",
-    "name": "google-cloud-speech",
-    "version": "2.21.1"
-  },
-  "snippets": [
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.AdaptationAsyncClient",
-          "shortName": "AdaptationAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1p1beta1.AdaptationAsyncClient.create_custom_class",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Adaptation.CreateCustomClass",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "CreateCustomClass"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.CreateCustomClassRequest"
-          },
-          {
-            "name": "parent",
-            "type": "str"
-          },
-          {
-            "name": "custom_class",
-            "type": "google.cloud.speech_v1p1beta1.types.CustomClass"
-          },
-          {
-            "name": "custom_class_id",
-            "type": "str"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1p1beta1.types.CustomClass",
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-          "start": 48,
-          "type": "RESPONSE_HANDLING"
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-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.AdaptationClient",
-          "shortName": "AdaptationClient"
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-        "fullName": "google.cloud.speech_v1p1beta1.AdaptationClient.update_phrase_set",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Adaptation.UpdatePhraseSet",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Adaptation",
-            "shortName": "Adaptation"
-          },
-          "shortName": "UpdatePhraseSet"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.UpdatePhraseSetRequest"
-          },
-          {
-            "name": "phrase_set",
-            "type": "google.cloud.speech_v1p1beta1.types.PhraseSet"
-          },
-          {
-            "name": "update_mask",
-            "type": "google.protobuf.field_mask_pb2.FieldMask"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1p1beta1.types.PhraseSet",
-        "shortName": "update_phrase_set"
-      },
-      "description": "Sample for UpdatePhraseSet",
-      "file": "speech_v1p1beta1_generated_adaptation_update_phrase_set_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
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-          "shortName": "LongRunningRecognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.LongRunningRecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionConfig"
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-            "name": "audio",
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-            "name": "metadata",
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-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "long_running_recognize"
-      },
-      "description": "Sample for LongRunningRecognize",
-      "file": "speech_v1p1beta1_generated_speech_long_running_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
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-          "end": 63,
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-        }
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-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.SpeechClient",
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-        },
-        "fullName": "google.cloud.speech_v1p1beta1.SpeechClient.long_running_recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Speech.LongRunningRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "LongRunningRecognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.LongRunningRecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionConfig"
-          },
-          {
-            "name": "audio",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionAudio"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "long_running_recognize"
-      },
-      "description": "Sample for LongRunningRecognize",
-      "file": "speech_v1p1beta1_generated_speech_long_running_recognize_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1p1beta1_generated_Speech_LongRunningRecognize_sync",
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-          "type": "CLIENT_INITIALIZATION"
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-          "end": 52,
-          "start": 41,
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-          "end": 59,
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-        },
-        {
-          "end": 63,
-          "start": 60,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1p1beta1_generated_speech_long_running_recognize_sync.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.SpeechAsyncClient",
-          "shortName": "SpeechAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1p1beta1.SpeechAsyncClient.recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Speech.Recognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "Recognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionConfig"
-          },
-          {
-            "name": "audio",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionAudio"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1p1beta1.types.RecognizeResponse",
-        "shortName": "recognize"
-      },
-      "description": "Sample for Recognize",
-      "file": "speech_v1p1beta1_generated_speech_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1p1beta1_generated_Speech_Recognize_async",
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-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 52,
-          "start": 41,
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-        },
-        {
-          "end": 55,
-          "start": 53,
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-        },
-        {
-          "end": 59,
-          "start": 56,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v1p1beta1_generated_speech_recognize_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.SpeechClient",
-          "shortName": "SpeechClient"
-        },
-        "fullName": "google.cloud.speech_v1p1beta1.SpeechClient.recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Speech.Recognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "Recognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognizeRequest"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionConfig"
-          },
-          {
-            "name": "audio",
-            "type": "google.cloud.speech_v1p1beta1.types.RecognitionAudio"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.cloud.speech_v1p1beta1.types.RecognizeResponse",
-        "shortName": "recognize"
-      },
-      "description": "Sample for Recognize",
-      "file": "speech_v1p1beta1_generated_speech_recognize_sync.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1p1beta1_generated_Speech_Recognize_sync",
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-        },
-        {
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-        },
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-          "end": 52,
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-        }
-      ],
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-    },
-    {
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-      "clientMethod": {
-        "async": true,
-        "client": {
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-          "shortName": "SpeechAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v1p1beta1.SpeechAsyncClient.streaming_recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v1p1beta1.Speech.StreamingRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "StreamingRecognize"
-        },
-        "parameters": [
-          {
-            "name": "requests",
-            "type": "Iterator[google.cloud.speech_v1p1beta1.types.StreamingRecognizeRequest]"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
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-            "type": "float"
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-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "Iterable[google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse]",
-        "shortName": "streaming_recognize"
-      },
-      "description": "Sample for StreamingRecognize",
-      "file": "speech_v1p1beta1_generated_speech_streaming_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v1p1beta1_generated_Speech_StreamingRecognize_async",
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-        }
-      ],
-      "title": "speech_v1p1beta1_generated_speech_streaming_recognize_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v1p1beta1.SpeechClient",
-          "shortName": "SpeechClient"
-        },
-        "fullName": "google.cloud.speech_v1p1beta1.SpeechClient.streaming_recognize",
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-          "fullName": "google.cloud.speech.v1p1beta1.Speech.StreamingRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v1p1beta1.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "StreamingRecognize"
-        },
-        "parameters": [
-          {
-            "name": "requests",
-            "type": "Iterator[google.cloud.speech_v1p1beta1.types.StreamingRecognizeRequest]"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "Iterable[google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse]",
-        "shortName": "streaming_recognize"
-      },
-      "description": "Sample for StreamingRecognize",
-      "file": "speech_v1p1beta1_generated_speech_streaming_recognize_sync.py",
-      "language": "PYTHON",
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-        }
-      ],
-      "title": "speech_v1p1beta1_generated_speech_streaming_recognize_sync.py"
-    }
-  ]
-}
diff --git a/samples/generated_samples/snippet_metadata_google.cloud.speech.v2.json b/samples/generated_samples/snippet_metadata_google.cloud.speech.v2.json
deleted file mode 100644
index 82cb6584..00000000
--- a/samples/generated_samples/snippet_metadata_google.cloud.speech.v2.json
+++ /dev/null
@@ -1,3846 +0,0 @@
-{
-  "clientLibrary": {
-    "apis": [
-      {
-        "id": "google.cloud.speech.v2",
-        "version": "v2"
-      }
-    ],
-    "language": "PYTHON",
-    "name": "google-cloud-speech",
-    "version": "2.21.1"
-  },
-  "snippets": [
-    {
-      "canonical": true,
-      "clientMethod": {
-        "async": true,
-        "client": {
-          "fullName": "google.cloud.speech_v2.SpeechAsyncClient",
-          "shortName": "SpeechAsyncClient"
-        },
-        "fullName": "google.cloud.speech_v2.SpeechAsyncClient.batch_recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v2.Speech.BatchRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v2.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "BatchRecognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v2.types.BatchRecognizeRequest"
-          },
-          {
-            "name": "recognizer",
-            "type": "str"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v2.types.RecognitionConfig"
-          },
-          {
-            "name": "config_mask",
-            "type": "google.protobuf.field_mask_pb2.FieldMask"
-          },
-          {
-            "name": "files",
-            "type": "MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "batch_recognize"
-      },
-      "description": "Sample for BatchRecognize",
-      "file": "speech_v2_generated_speech_batch_recognize_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v2_generated_Speech_BatchRecognize_async",
-      "segments": [
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-          "end": 55,
-          "start": 27,
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-          "end": 55,
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-          "type": "SHORT"
-        },
-        {
-          "end": 40,
-          "start": 38,
-          "type": "CLIENT_INITIALIZATION"
-        },
-        {
-          "end": 45,
-          "start": 41,
-          "type": "REQUEST_INITIALIZATION"
-        },
-        {
-          "end": 52,
-          "start": 46,
-          "type": "REQUEST_EXECUTION"
-        },
-        {
-          "end": 56,
-          "start": 53,
-          "type": "RESPONSE_HANDLING"
-        }
-      ],
-      "title": "speech_v2_generated_speech_batch_recognize_async.py"
-    },
-    {
-      "canonical": true,
-      "clientMethod": {
-        "client": {
-          "fullName": "google.cloud.speech_v2.SpeechClient",
-          "shortName": "SpeechClient"
-        },
-        "fullName": "google.cloud.speech_v2.SpeechClient.batch_recognize",
-        "method": {
-          "fullName": "google.cloud.speech.v2.Speech.BatchRecognize",
-          "service": {
-            "fullName": "google.cloud.speech.v2.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "BatchRecognize"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v2.types.BatchRecognizeRequest"
-          },
-          {
-            "name": "recognizer",
-            "type": "str"
-          },
-          {
-            "name": "config",
-            "type": "google.cloud.speech_v2.types.RecognitionConfig"
-          },
-          {
-            "name": "config_mask",
-            "type": "google.protobuf.field_mask_pb2.FieldMask"
-          },
-          {
-            "name": "files",
-            "type": "MutableSequence[google.cloud.speech_v2.types.BatchRecognizeFileMetadata]"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "batch_recognize"
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-        ],
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-          },
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-          },
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-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "update_phrase_set"
-      },
-      "description": "Sample for UpdatePhraseSet",
-      "file": "speech_v2_generated_speech_update_phrase_set_async.py",
-      "language": "PYTHON",
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-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "update_phrase_set"
-      },
-      "description": "Sample for UpdatePhraseSet",
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-            "fullName": "google.cloud.speech.v2.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "UpdateRecognizer"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v2.types.UpdateRecognizerRequest"
-          },
-          {
-            "name": "recognizer",
-            "type": "google.cloud.speech_v2.types.Recognizer"
-          },
-          {
-            "name": "update_mask",
-            "type": "google.protobuf.field_mask_pb2.FieldMask"
-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
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-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation_async.AsyncOperation",
-        "shortName": "update_recognizer"
-      },
-      "description": "Sample for UpdateRecognizer",
-      "file": "speech_v2_generated_speech_update_recognizer_async.py",
-      "language": "PYTHON",
-      "origin": "API_DEFINITION",
-      "regionTag": "speech_v2_generated_Speech_UpdateRecognizer_async",
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-      ],
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-      "canonical": true,
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-        "client": {
-          "fullName": "google.cloud.speech_v2.SpeechClient",
-          "shortName": "SpeechClient"
-        },
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-          "service": {
-            "fullName": "google.cloud.speech.v2.Speech",
-            "shortName": "Speech"
-          },
-          "shortName": "UpdateRecognizer"
-        },
-        "parameters": [
-          {
-            "name": "request",
-            "type": "google.cloud.speech_v2.types.UpdateRecognizerRequest"
-          },
-          {
-            "name": "recognizer",
-            "type": "google.cloud.speech_v2.types.Recognizer"
-          },
-          {
-            "name": "update_mask",
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-          },
-          {
-            "name": "retry",
-            "type": "google.api_core.retry.Retry"
-          },
-          {
-            "name": "timeout",
-            "type": "float"
-          },
-          {
-            "name": "metadata",
-            "type": "Sequence[Tuple[str, str]"
-          }
-        ],
-        "resultType": "google.api_core.operation.Operation",
-        "shortName": "update_recognizer"
-      },
-      "description": "Sample for UpdateRecognizer",
-      "file": "speech_v2_generated_speech_update_recognizer_sync.py",
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-        }
-      ],
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-    }
-  ]
-}
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_async.py b/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_async.py
deleted file mode 100644
index 42db1c0b..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_CreateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_create_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.CreateCustomClassRequest(
-        parent="parent_value",
-        custom_class_id="custom_class_id_value",
-    )
-
-    # Make the request
-    response = await client.create_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_CreateCustomClass_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_sync.py
deleted file mode 100644
index a2831732..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_create_custom_class_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_CreateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_create_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.CreateCustomClassRequest(
-        parent="parent_value",
-        custom_class_id="custom_class_id_value",
-    )
-
-    # Make the request
-    response = client.create_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_CreateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_async.py b/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_async.py
deleted file mode 100644
index 21a47a01..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_CreatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_create_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.CreatePhraseSetRequest(
-        parent="parent_value",
-        phrase_set_id="phrase_set_id_value",
-    )
-
-    # Make the request
-    response = await client.create_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_CreatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_sync.py
deleted file mode 100644
index fef5d9a7..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_create_phrase_set_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_CreatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_create_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.CreatePhraseSetRequest(
-        parent="parent_value",
-        phrase_set_id="phrase_set_id_value",
-    )
-
-    # Make the request
-    response = client.create_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_CreatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_async.py b/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_async.py
deleted file mode 100644
index a5469536..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_DeleteCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_delete_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_custom_class(request=request)
-
-
-# [END speech_v1_generated_Adaptation_DeleteCustomClass_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_sync.py
deleted file mode 100644
index dc148ea0..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_delete_custom_class_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_DeleteCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_delete_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_custom_class(request=request)
-
-
-# [END speech_v1_generated_Adaptation_DeleteCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_async.py b/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_async.py
deleted file mode 100644
index a582333c..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_DeletePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_phrase_set(request=request)
-
-
-# [END speech_v1_generated_Adaptation_DeletePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_sync.py
deleted file mode 100644
index 3f26c589..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_delete_phrase_set_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_DeletePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_phrase_set(request=request)
-
-
-# [END speech_v1_generated_Adaptation_DeletePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_async.py b/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_async.py
deleted file mode 100644
index 412551c1..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_GetCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_get_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_GetCustomClass_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_sync.py
deleted file mode 100644
index aab45317..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_get_custom_class_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_GetCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_get_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_GetCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_async.py b/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_async.py
deleted file mode 100644
index 32797943..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_GetPhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_get_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_GetPhraseSet_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_sync.py
deleted file mode 100644
index 870e3e62..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_get_phrase_set_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_GetPhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_get_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_GetPhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_async.py b/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_async.py
deleted file mode 100644
index 6ba88e61..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_ListCustomClasses_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_list_custom_classes():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v1_generated_Adaptation_ListCustomClasses_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_sync.py
deleted file mode 100644
index 59284d49..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_list_custom_classes_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_ListCustomClasses_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_list_custom_classes():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v1_generated_Adaptation_ListCustomClasses_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_async.py b/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_async.py
deleted file mode 100644
index 4be50036..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_ListPhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_list_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.ListPhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_set(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v1_generated_Adaptation_ListPhraseSet_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_sync.py
deleted file mode 100644
index a4b1a1db..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_list_phrase_set_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_ListPhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_list_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.ListPhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_set(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v1_generated_Adaptation_ListPhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_async.py b/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_async.py
deleted file mode 100644
index 802c9e13..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_UpdateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_update_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    response = await client.update_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_UpdateCustomClass_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_sync.py
deleted file mode 100644
index e883973f..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_update_custom_class_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_UpdateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_update_custom_class():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    response = client.update_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_UpdateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_async.py b/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_async.py
deleted file mode 100644
index a2679a03..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_UpdatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_update_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    response = await client.update_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_UpdatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_sync.py b/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_sync.py
deleted file mode 100644
index 35704beb..00000000
--- a/samples/generated_samples/speech_v1_generated_adaptation_update_phrase_set_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Adaptation_UpdatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_update_phrase_set():
-    # Create a client
-    client = speech_v1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    response = client.update_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Adaptation_UpdatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_async.py b/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_async.py
deleted file mode 100644
index 3861bb66..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_async.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LongRunningRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_LongRunningRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_long_running_recognize():
-    # Create a client
-    client = speech_v1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    config = speech_v1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1.LongRunningRecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    operation = client.long_running_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Speech_LongRunningRecognize_async]
diff --git a/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_sync.py b/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_sync.py
deleted file mode 100644
index f4cba8cb..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_long_running_recognize_sync.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LongRunningRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_LongRunningRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_long_running_recognize():
-    # Create a client
-    client = speech_v1.SpeechClient()
-
-    # Initialize request argument(s)
-    config = speech_v1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1.LongRunningRecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    operation = client.long_running_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Speech_LongRunningRecognize_sync]
diff --git a/samples/generated_samples/speech_v1_generated_speech_recognize_async.py b/samples/generated_samples/speech_v1_generated_speech_recognize_async.py
deleted file mode 100644
index d7bb40dc..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_recognize_async.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_Recognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_recognize():
-    # Create a client
-    client = speech_v1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    config = speech_v1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1.RecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    response = await client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Speech_Recognize_async]
diff --git a/samples/generated_samples/speech_v1_generated_speech_recognize_sync.py b/samples/generated_samples/speech_v1_generated_speech_recognize_sync.py
deleted file mode 100644
index 735d3e14..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_recognize_sync.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_Recognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_recognize():
-    # Create a client
-    client = speech_v1.SpeechClient()
-
-    # Initialize request argument(s)
-    config = speech_v1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1.RecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    response = client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1_generated_Speech_Recognize_sync]
diff --git a/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_async.py b/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_async.py
deleted file mode 100644
index d01ec445..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_async.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_StreamingRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-async def sample_streaming_recognize():
-    # Create a client
-    client = speech_v1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    streaming_config = speech_v1.StreamingRecognitionConfig()
-    streaming_config.config.language_code = "language_code_value"
-
-    request = speech_v1.StreamingRecognizeRequest(
-        streaming_config=streaming_config,
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v1.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = await client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    async for response in stream:
-        print(response)
-
-# [END speech_v1_generated_Speech_StreamingRecognize_async]
diff --git a/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_sync.py b/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_sync.py
deleted file mode 100644
index 4e02784c..00000000
--- a/samples/generated_samples/speech_v1_generated_speech_streaming_recognize_sync.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1_generated_Speech_StreamingRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1
-
-
-def sample_streaming_recognize():
-    # Create a client
-    client = speech_v1.SpeechClient()
-
-    # Initialize request argument(s)
-    streaming_config = speech_v1.StreamingRecognitionConfig()
-    streaming_config.config.language_code = "language_code_value"
-
-    request = speech_v1.StreamingRecognizeRequest(
-        streaming_config=streaming_config,
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v1.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    for response in stream:
-        print(response)
-
-# [END speech_v1_generated_Speech_StreamingRecognize_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_async.py
deleted file mode 100644
index a5167d37..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_CreateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_create_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.CreateCustomClassRequest(
-        parent="parent_value",
-        custom_class_id="custom_class_id_value",
-    )
-
-    # Make the request
-    response = await client.create_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_CreateCustomClass_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_sync.py
deleted file mode 100644
index 61db4d20..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_custom_class_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_CreateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_create_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.CreateCustomClassRequest(
-        parent="parent_value",
-        custom_class_id="custom_class_id_value",
-    )
-
-    # Make the request
-    response = client.create_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_CreateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_async.py
deleted file mode 100644
index a49eb946..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_CreatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_create_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.CreatePhraseSetRequest(
-        parent="parent_value",
-        phrase_set_id="phrase_set_id_value",
-    )
-
-    # Make the request
-    response = await client.create_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_CreatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_sync.py
deleted file mode 100644
index 3c4b8bdf..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_create_phrase_set_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_CreatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_create_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.CreatePhraseSetRequest(
-        parent="parent_value",
-        phrase_set_id="phrase_set_id_value",
-    )
-
-    # Make the request
-    response = client.create_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_CreatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_async.py
deleted file mode 100644
index f18367be..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_DeleteCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_delete_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_custom_class(request=request)
-
-
-# [END speech_v1p1beta1_generated_Adaptation_DeleteCustomClass_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_sync.py
deleted file mode 100644
index 107c870b..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_custom_class_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_DeleteCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_delete_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_custom_class(request=request)
-
-
-# [END speech_v1p1beta1_generated_Adaptation_DeleteCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_async.py
deleted file mode 100644
index 8e865d19..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_async.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_DeletePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    await client.delete_phrase_set(request=request)
-
-
-# [END speech_v1p1beta1_generated_Adaptation_DeletePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_sync.py
deleted file mode 100644
index 943e0cf7..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_delete_phrase_set_sync.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_DeletePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    client.delete_phrase_set(request=request)
-
-
-# [END speech_v1p1beta1_generated_Adaptation_DeletePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_async.py
deleted file mode 100644
index 5671627a..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_GetCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_get_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_GetCustomClass_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_sync.py
deleted file mode 100644
index 097da681..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_custom_class_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_GetCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_get_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_GetCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_async.py
deleted file mode 100644
index 699ec9d6..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_GetPhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_get_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_GetPhraseSet_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_sync.py
deleted file mode 100644
index 6e17b376..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_get_phrase_set_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_GetPhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_get_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_GetPhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_async.py
deleted file mode 100644
index 1d10f6e2..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_ListCustomClasses_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_list_custom_classes():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_ListCustomClasses_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_sync.py
deleted file mode 100644
index 89226a31..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_custom_classes_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_ListCustomClasses_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_list_custom_classes():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_ListCustomClasses_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_async.py
deleted file mode 100644
index 39475d33..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_ListPhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_list_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.ListPhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_set(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_ListPhraseSet_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_sync.py
deleted file mode 100644
index 0836ab48..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_list_phrase_set_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_ListPhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_list_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.ListPhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_set(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_ListPhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_async.py
deleted file mode 100644
index 9b99e0c4..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_UpdateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_update_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    response = await client.update_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_UpdateCustomClass_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_sync.py
deleted file mode 100644
index 47679a5e..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_custom_class_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_UpdateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_update_custom_class():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    response = client.update_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_UpdateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_async.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_async.py
deleted file mode 100644
index 62461462..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_UpdatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_update_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    response = await client.update_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_UpdatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_sync.py
deleted file mode 100644
index bab3bdde..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_adaptation_update_phrase_set_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Adaptation_UpdatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_update_phrase_set():
-    # Create a client
-    client = speech_v1p1beta1.AdaptationClient()
-
-    # Initialize request argument(s)
-    request = speech_v1p1beta1.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    response = client.update_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Adaptation_UpdatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_async.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_async.py
deleted file mode 100644
index 6ffd7543..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_async.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LongRunningRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_LongRunningRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_long_running_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    config = speech_v1p1beta1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1p1beta1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1p1beta1.LongRunningRecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    operation = client.long_running_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Speech_LongRunningRecognize_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_sync.py
deleted file mode 100644
index 247d2f0e..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_long_running_recognize_sync.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for LongRunningRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_LongRunningRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_long_running_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechClient()
-
-    # Initialize request argument(s)
-    config = speech_v1p1beta1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1p1beta1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1p1beta1.LongRunningRecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    operation = client.long_running_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Speech_LongRunningRecognize_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_async.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_async.py
deleted file mode 100644
index 02206e53..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_async.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_Recognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    config = speech_v1p1beta1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1p1beta1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1p1beta1.RecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    response = await client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Speech_Recognize_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_sync.py
deleted file mode 100644
index 2fc2b09a..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_recognize_sync.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_Recognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechClient()
-
-    # Initialize request argument(s)
-    config = speech_v1p1beta1.RecognitionConfig()
-    config.language_code = "language_code_value"
-
-    audio = speech_v1p1beta1.RecognitionAudio()
-    audio.content = b'content_blob'
-
-    request = speech_v1p1beta1.RecognizeRequest(
-        config=config,
-        audio=audio,
-    )
-
-    # Make the request
-    response = client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v1p1beta1_generated_Speech_Recognize_sync]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_async.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_async.py
deleted file mode 100644
index 92237e3f..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_async.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_StreamingRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-async def sample_streaming_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    streaming_config = speech_v1p1beta1.StreamingRecognitionConfig()
-    streaming_config.config.language_code = "language_code_value"
-
-    request = speech_v1p1beta1.StreamingRecognizeRequest(
-        streaming_config=streaming_config,
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v1p1beta1.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = await client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    async for response in stream:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Speech_StreamingRecognize_async]
diff --git a/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_sync.py b/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_sync.py
deleted file mode 100644
index 6c427c84..00000000
--- a/samples/generated_samples/speech_v1p1beta1_generated_speech_streaming_recognize_sync.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v1p1beta1_generated_Speech_StreamingRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v1p1beta1
-
-
-def sample_streaming_recognize():
-    # Create a client
-    client = speech_v1p1beta1.SpeechClient()
-
-    # Initialize request argument(s)
-    streaming_config = speech_v1p1beta1.StreamingRecognitionConfig()
-    streaming_config.config.language_code = "language_code_value"
-
-    request = speech_v1p1beta1.StreamingRecognizeRequest(
-        streaming_config=streaming_config,
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v1p1beta1.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    for response in stream:
-        print(response)
-
-# [END speech_v1p1beta1_generated_Speech_StreamingRecognize_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_batch_recognize_async.py b/samples/generated_samples/speech_v2_generated_speech_batch_recognize_async.py
deleted file mode 100644
index 6afa1919..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_batch_recognize_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for BatchRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_BatchRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_batch_recognize():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.BatchRecognizeRequest(
-        recognizer="recognizer_value",
-    )
-
-    # Make the request
-    operation = client.batch_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_BatchRecognize_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_batch_recognize_sync.py b/samples/generated_samples/speech_v2_generated_speech_batch_recognize_sync.py
deleted file mode 100644
index 4d20e073..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_batch_recognize_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for BatchRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_BatchRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_batch_recognize():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.BatchRecognizeRequest(
-        recognizer="recognizer_value",
-    )
-
-    # Make the request
-    operation = client.batch_recognize(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_BatchRecognize_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_custom_class_async.py b/samples/generated_samples/speech_v2_generated_speech_create_custom_class_async.py
deleted file mode 100644
index cfbaab8f..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_custom_class_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_create_custom_class():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreateCustomClassRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreateCustomClass_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_custom_class_sync.py b/samples/generated_samples/speech_v2_generated_speech_create_custom_class_sync.py
deleted file mode 100644
index 8b3cd7d8..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_custom_class_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_create_custom_class():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreateCustomClassRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_async.py b/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_async.py
deleted file mode 100644
index e2c732e2..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_create_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreatePhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_sync.py b/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_sync.py
deleted file mode 100644
index 38e0e04a..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_phrase_set_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_create_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreatePhraseSetRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_recognizer_async.py b/samples/generated_samples/speech_v2_generated_speech_create_recognizer_async.py
deleted file mode 100644
index 29284616..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_recognizer_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreateRecognizer_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_create_recognizer():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreateRecognizerRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreateRecognizer_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_create_recognizer_sync.py b/samples/generated_samples/speech_v2_generated_speech_create_recognizer_sync.py
deleted file mode 100644
index b95ce987..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_create_recognizer_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for CreateRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_CreateRecognizer_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_create_recognizer():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.CreateRecognizerRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    operation = client.create_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_CreateRecognizer_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_async.py b/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_async.py
deleted file mode 100644
index a48b6e6e..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeleteCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_delete_custom_class():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeleteCustomClass_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_sync.py b/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_sync.py
deleted file mode 100644
index da94a2e1..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_custom_class_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeleteCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_delete_custom_class():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeleteCustomClass_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_async.py b/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_async.py
deleted file mode 100644
index 95b2e5be..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeletePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeletePhraseSet_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_sync.py b/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_sync.py
deleted file mode 100644
index c94f4d5f..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_phrase_set_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeletePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_delete_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeletePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_async.py b/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_async.py
deleted file mode 100644
index 3d982cc2..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeleteRecognizer_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_delete_recognizer():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeleteRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeleteRecognizer_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_sync.py b/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_sync.py
deleted file mode 100644
index 98e7631c..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_delete_recognizer_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for DeleteRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_DeleteRecognizer_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_delete_recognizer():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.DeleteRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.delete_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_DeleteRecognizer_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_config_async.py b/samples/generated_samples/speech_v2_generated_speech_get_config_async.py
deleted file mode 100644
index b9ce23e5..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_config_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetConfig
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetConfig_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_get_config():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetConfigRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_config(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetConfig_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_config_sync.py b/samples/generated_samples/speech_v2_generated_speech_get_config_sync.py
deleted file mode 100644
index 302ece0a..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_config_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetConfig
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetConfig_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_get_config():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetConfigRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_config(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetConfig_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_custom_class_async.py b/samples/generated_samples/speech_v2_generated_speech_get_custom_class_async.py
deleted file mode 100644
index 9ca59b94..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_custom_class_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_get_custom_class():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetCustomClass_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_custom_class_sync.py b/samples/generated_samples/speech_v2_generated_speech_get_custom_class_sync.py
deleted file mode 100644
index bbbea080..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_custom_class_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_get_custom_class():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_custom_class(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetCustomClass_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_async.py b/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_async.py
deleted file mode 100644
index b8884195..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetPhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_get_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetPhraseSet_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_sync.py b/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_sync.py
deleted file mode 100644
index 88ea7737..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_phrase_set_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetPhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetPhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_get_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetPhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_phrase_set(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetPhraseSet_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_recognizer_async.py b/samples/generated_samples/speech_v2_generated_speech_get_recognizer_async.py
deleted file mode 100644
index 53be7001..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_recognizer_async.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetRecognizer_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_get_recognizer():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = await client.get_recognizer(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetRecognizer_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_get_recognizer_sync.py b/samples/generated_samples/speech_v2_generated_speech_get_recognizer_sync.py
deleted file mode 100644
index ba4dc15b..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_get_recognizer_sync.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for GetRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_GetRecognizer_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_get_recognizer():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.GetRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    response = client.get_recognizer(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_GetRecognizer_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_async.py b/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_async.py
deleted file mode 100644
index 9a18b863..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListCustomClasses_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_list_custom_classes():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListCustomClasses_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_sync.py b/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_sync.py
deleted file mode 100644
index 27ef733b..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_custom_classes_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListCustomClasses
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListCustomClasses_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_list_custom_classes():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListCustomClassesRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_custom_classes(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListCustomClasses_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_async.py b/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_async.py
deleted file mode 100644
index 7b7bdb4f..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSets
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListPhraseSets_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_list_phrase_sets():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListPhraseSetsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_sets(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListPhraseSets_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_sync.py b/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_sync.py
deleted file mode 100644
index 12728ae2..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_phrase_sets_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListPhraseSets
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListPhraseSets_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_list_phrase_sets():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListPhraseSetsRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_phrase_sets(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListPhraseSets_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_recognizers_async.py b/samples/generated_samples/speech_v2_generated_speech_list_recognizers_async.py
deleted file mode 100644
index cca485ec..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_recognizers_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListRecognizers
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListRecognizers_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_list_recognizers():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListRecognizersRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_recognizers(request=request)
-
-    # Handle the response
-    async for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListRecognizers_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_list_recognizers_sync.py b/samples/generated_samples/speech_v2_generated_speech_list_recognizers_sync.py
deleted file mode 100644
index 55f33a52..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_list_recognizers_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for ListRecognizers
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_ListRecognizers_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_list_recognizers():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.ListRecognizersRequest(
-        parent="parent_value",
-    )
-
-    # Make the request
-    page_result = client.list_recognizers(request=request)
-
-    # Handle the response
-    for response in page_result:
-        print(response)
-
-# [END speech_v2_generated_Speech_ListRecognizers_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_recognize_async.py b/samples/generated_samples/speech_v2_generated_speech_recognize_async.py
deleted file mode 100644
index 208138d3..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_recognize_async.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_Recognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_recognize():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.RecognizeRequest(
-        content=b'content_blob',
-        recognizer="recognizer_value",
-    )
-
-    # Make the request
-    response = await client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_Recognize_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_recognize_sync.py b/samples/generated_samples/speech_v2_generated_speech_recognize_sync.py
deleted file mode 100644
index a3ecf8d0..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_recognize_sync.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for Recognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_Recognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_recognize():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.RecognizeRequest(
-        content=b'content_blob',
-        recognizer="recognizer_value",
-    )
-
-    # Make the request
-    response = client.recognize(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_Recognize_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_async.py b/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_async.py
deleted file mode 100644
index f81d1a4b..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_async.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_StreamingRecognize_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_streaming_recognize():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.StreamingRecognizeRequest(
-        recognizer="recognizer_value",
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v2.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = await client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    async for response in stream:
-        print(response)
-
-# [END speech_v2_generated_Speech_StreamingRecognize_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_sync.py b/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_sync.py
deleted file mode 100644
index 8489797c..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_streaming_recognize_sync.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for StreamingRecognize
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_StreamingRecognize_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_streaming_recognize():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.StreamingRecognizeRequest(
-        recognizer="recognizer_value",
-    )
-
-    # This method expects an iterator which contains
-    # 'speech_v2.StreamingRecognizeRequest' objects
-    # Here we create a generator that yields a single `request` for
-    # demonstrative purposes.
-    requests = [request]
-
-    def request_generator():
-        for request in requests:
-            yield request
-
-    # Make the request
-    stream = client.streaming_recognize(requests=request_generator())
-
-    # Handle the response
-    for response in stream:
-        print(response)
-
-# [END speech_v2_generated_Speech_StreamingRecognize_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_async.py b/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_async.py
deleted file mode 100644
index a896dae9..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeleteCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_undelete_custom_class():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeleteCustomClass_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_sync.py b/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_sync.py
deleted file mode 100644
index c3c0a324..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_custom_class_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeleteCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeleteCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_undelete_custom_class():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeleteCustomClassRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeleteCustomClass_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_async.py b/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_async.py
deleted file mode 100644
index 73f9b5ef..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeletePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_undelete_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeletePhraseSet_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_sync.py b/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_sync.py
deleted file mode 100644
index 38d553b3..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_phrase_set_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeletePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeletePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_undelete_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeletePhraseSetRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeletePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_async.py b/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_async.py
deleted file mode 100644
index 243c19e5..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_async.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeleteRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeleteRecognizer_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_undelete_recognizer():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeleteRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeleteRecognizer_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_sync.py b/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_sync.py
deleted file mode 100644
index 5b51257b..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_undelete_recognizer_sync.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UndeleteRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UndeleteRecognizer_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_undelete_recognizer():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UndeleteRecognizerRequest(
-        name="name_value",
-    )
-
-    # Make the request
-    operation = client.undelete_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UndeleteRecognizer_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_config_async.py b/samples/generated_samples/speech_v2_generated_speech_update_config_async.py
deleted file mode 100644
index a76755ac..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_config_async.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateConfig
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateConfig_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_update_config():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateConfigRequest(
-    )
-
-    # Make the request
-    response = await client.update_config(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateConfig_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_config_sync.py b/samples/generated_samples/speech_v2_generated_speech_update_config_sync.py
deleted file mode 100644
index a9de0872..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_config_sync.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateConfig
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateConfig_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_update_config():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateConfigRequest(
-    )
-
-    # Make the request
-    response = client.update_config(request=request)
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateConfig_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_custom_class_async.py b/samples/generated_samples/speech_v2_generated_speech_update_custom_class_async.py
deleted file mode 100644
index 9004983e..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_custom_class_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateCustomClass_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_update_custom_class():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    operation = client.update_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateCustomClass_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_custom_class_sync.py b/samples/generated_samples/speech_v2_generated_speech_update_custom_class_sync.py
deleted file mode 100644
index 9f51b8cf..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_custom_class_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateCustomClass
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateCustomClass_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_update_custom_class():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateCustomClassRequest(
-    )
-
-    # Make the request
-    operation = client.update_custom_class(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateCustomClass_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_async.py b/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_async.py
deleted file mode 100644
index 8e224511..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdatePhraseSet_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_update_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    operation = client.update_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdatePhraseSet_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_sync.py b/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_sync.py
deleted file mode 100644
index 7e3f2024..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_phrase_set_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdatePhraseSet
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdatePhraseSet_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_update_phrase_set():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdatePhraseSetRequest(
-    )
-
-    # Make the request
-    operation = client.update_phrase_set(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdatePhraseSet_sync]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_recognizer_async.py b/samples/generated_samples/speech_v2_generated_speech_update_recognizer_async.py
deleted file mode 100644
index 73d58608..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_recognizer_async.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateRecognizer_async]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-async def sample_update_recognizer():
-    # Create a client
-    client = speech_v2.SpeechAsyncClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateRecognizerRequest(
-    )
-
-    # Make the request
-    operation = client.update_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = (await operation).result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateRecognizer_async]
diff --git a/samples/generated_samples/speech_v2_generated_speech_update_recognizer_sync.py b/samples/generated_samples/speech_v2_generated_speech_update_recognizer_sync.py
deleted file mode 100644
index 1e976289..00000000
--- a/samples/generated_samples/speech_v2_generated_speech_update_recognizer_sync.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Generated code. DO NOT EDIT!
-#
-# Snippet for UpdateRecognizer
-# NOTE: This snippet has been automatically generated for illustrative purposes only.
-# It may require modifications to work in your environment.
-
-# To install the latest published package dependency, execute the following:
-#   python3 -m pip install google-cloud-speech
-
-
-# [START speech_v2_generated_Speech_UpdateRecognizer_sync]
-# This snippet has been automatically generated and should be regarded as a
-# code template only.
-# It will require modifications to work:
-# - It may require correct/in-range values for request initialization.
-# - It may require specifying regional endpoints when creating the service
-#   client as shown in:
-#   https://googleapis.dev/python/google-api-core/latest/client_options.html
-from google.cloud import speech_v2
-
-
-def sample_update_recognizer():
-    # Create a client
-    client = speech_v2.SpeechClient()
-
-    # Initialize request argument(s)
-    request = speech_v2.UpdateRecognizerRequest(
-    )
-
-    # Make the request
-    operation = client.update_recognizer(request=request)
-
-    print("Waiting for operation to complete...")
-
-    response = operation.result()
-
-    # Handle the response
-    print(response)
-
-# [END speech_v2_generated_Speech_UpdateRecognizer_sync]
diff --git a/samples/microphone/noxfile.py b/samples/microphone/noxfile.py
deleted file mode 100644
index 1224cbe2..00000000
--- a/samples/microphone/noxfile.py
+++ /dev/null
@@ -1,293 +0,0 @@
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import print_function
-
-import glob
-import os
-from pathlib import Path
-import sys
-from typing import Callable, Dict, Optional
-
-import nox
-
-
-# WARNING - WARNING - WARNING - WARNING - WARNING
-# WARNING - WARNING - WARNING - WARNING - WARNING
-#           DO NOT EDIT THIS FILE EVER!
-# WARNING - WARNING - WARNING - WARNING - WARNING
-# WARNING - WARNING - WARNING - WARNING - WARNING
-
-BLACK_VERSION = "black==22.3.0"
-ISORT_VERSION = "isort==5.10.1"
-
-# Copy `noxfile_config.py` to your directory and modify it instead.
-
-# `TEST_CONFIG` dict is a configuration hook that allows users to
-# modify the test configurations. The values here should be in sync
-# with `noxfile_config.py`. Users will copy `noxfile_config.py` into
-# their directory and modify it.
-
-TEST_CONFIG = {
-    # You can opt out from the test for specific Python versions.
-    "ignored_versions": [],
-    # Old samples are opted out of enforcing Python type hints
-    # All new samples should feature them
-    "enforce_type_hints": False,
-    # An envvar key for determining the project id to use. Change it
-    # to 'BUILD_SPECIFIC_GCLOUD_PROJECT' if you want to opt in using a
-    # build specific Cloud project. You can also use your own string
-    # to use your own Cloud project.
-    "gcloud_project_env": "GOOGLE_CLOUD_PROJECT",
-    # 'gcloud_project_env': 'BUILD_SPECIFIC_GCLOUD_PROJECT',
-    # If you need to use a specific version of pip,
-    # change pip_version_override to the string representation
-    # of the version number, for example, "20.2.4"
-    "pip_version_override": None,
-    # A dictionary you want to inject into your test. Don't put any
-    # secrets here. These values will override predefined values.
-    "envs": {},
-}
-
-
-try:
-    # Ensure we can import noxfile_config in the project's directory.
-    sys.path.append(".")
-    from noxfile_config import TEST_CONFIG_OVERRIDE
-except ImportError as e:
-    print("No user noxfile_config found: detail: {}".format(e))
-    TEST_CONFIG_OVERRIDE = {}
-
-# Update the TEST_CONFIG with the user supplied values.
-TEST_CONFIG.update(TEST_CONFIG_OVERRIDE)
-
-
-def get_pytest_env_vars() -> Dict[str, str]:
-    """Returns a dict for pytest invocation."""
-    ret = {}
-
-    # Override the GCLOUD_PROJECT and the alias.
-    env_key = TEST_CONFIG["gcloud_project_env"]
-    # This should error out if not set.
-    ret["GOOGLE_CLOUD_PROJECT"] = os.environ[env_key]
-
-    # Apply user supplied envs.
-    ret.update(TEST_CONFIG["envs"])
-    return ret
-
-
-# DO NOT EDIT - automatically generated.
-# All versions used to test samples.
-ALL_VERSIONS = ["3.7", "3.8", "3.9", "3.10", "3.11"]
-
-# Any default versions that should be ignored.
-IGNORED_VERSIONS = TEST_CONFIG["ignored_versions"]
-
-TESTED_VERSIONS = sorted([v for v in ALL_VERSIONS if v not in IGNORED_VERSIONS])
-
-INSTALL_LIBRARY_FROM_SOURCE = os.environ.get("INSTALL_LIBRARY_FROM_SOURCE", False) in (
-    "True",
-    "true",
-)
-
-# Error if a python version is missing
-nox.options.error_on_missing_interpreters = True
-
-#
-# Style Checks
-#
-
-
-# Linting with flake8.
-#
-# We ignore the following rules:
-#   E203: whitespace before ‘:’
-#   E266: too many leading ‘#’ for block comment
-#   E501: line too long
-#   I202: Additional newline in a section of imports
-#
-# We also need to specify the rules which are ignored by default:
-# ['E226', 'W504', 'E126', 'E123', 'W503', 'E24', 'E704', 'E121']
-FLAKE8_COMMON_ARGS = [
-    "--show-source",
-    "--builtin=gettext",
-    "--max-complexity=20",
-    "--exclude=.nox,.cache,env,lib,generated_pb2,*_pb2.py,*_pb2_grpc.py",
-    "--ignore=E121,E123,E126,E203,E226,E24,E266,E501,E704,W503,W504,I202",
-    "--max-line-length=88",
-]
-
-
-@nox.session
-def lint(session: nox.sessions.Session) -> None:
-    if not TEST_CONFIG["enforce_type_hints"]:
-        session.install("flake8")
-    else:
-        session.install("flake8", "flake8-annotations")
-
-    args = FLAKE8_COMMON_ARGS + [
-        ".",
-    ]
-    session.run("flake8", *args)
-
-
-#
-# Black
-#
-
-
-@nox.session
-def blacken(session: nox.sessions.Session) -> None:
-    """Run black. Format code to uniform standard."""
-    session.install(BLACK_VERSION)
-    python_files = [path for path in os.listdir(".") if path.endswith(".py")]
-
-    session.run("black", *python_files)
-
-
-#
-# format = isort + black
-#
-
-
-@nox.session
-def format(session: nox.sessions.Session) -> None:
-    """
-    Run isort to sort imports. Then run black
-    to format code to uniform standard.
-    """
-    session.install(BLACK_VERSION, ISORT_VERSION)
-    python_files = [path for path in os.listdir(".") if path.endswith(".py")]
-
-    # Use the --fss option to sort imports using strict alphabetical order.
-    # See https://pycqa.github.io/isort/docs/configuration/options.html#force-sort-within-sections
-    session.run("isort", "--fss", *python_files)
-    session.run("black", *python_files)
-
-
-#
-# Sample Tests
-#
-
-
-PYTEST_COMMON_ARGS = ["--junitxml=sponge_log.xml"]
-
-
-def _session_tests(
-    session: nox.sessions.Session, post_install: Callable = None
-) -> None:
-    # check for presence of tests
-    test_list = glob.glob("**/*_test.py", recursive=True) + glob.glob(
-        "**/test_*.py", recursive=True
-    )
-    test_list.extend(glob.glob("**/tests", recursive=True))
-
-    if len(test_list) == 0:
-        print("No tests found, skipping directory.")
-        return
-
-    if TEST_CONFIG["pip_version_override"]:
-        pip_version = TEST_CONFIG["pip_version_override"]
-        session.install(f"pip=={pip_version}")
-    """Runs py.test for a particular project."""
-    concurrent_args = []
-    if os.path.exists("requirements.txt"):
-        if os.path.exists("constraints.txt"):
-            session.install("-r", "requirements.txt", "-c", "constraints.txt")
-        else:
-            session.install("-r", "requirements.txt")
-        with open("requirements.txt") as rfile:
-            packages = rfile.read()
-
-    if os.path.exists("requirements-test.txt"):
-        if os.path.exists("constraints-test.txt"):
-            session.install("-r", "requirements-test.txt", "-c", "constraints-test.txt")
-        else:
-            session.install("-r", "requirements-test.txt")
-        with open("requirements-test.txt") as rtfile:
-            packages += rtfile.read()
-
-    if INSTALL_LIBRARY_FROM_SOURCE:
-        session.install("-e", _get_repo_root())
-
-    if post_install:
-        post_install(session)
-
-    if "pytest-parallel" in packages:
-        concurrent_args.extend(["--workers", "auto", "--tests-per-worker", "auto"])
-    elif "pytest-xdist" in packages:
-        concurrent_args.extend(["-n", "auto"])
-
-    session.run(
-        "pytest",
-        *(PYTEST_COMMON_ARGS + session.posargs + concurrent_args),
-        # Pytest will return 5 when no tests are collected. This can happen
-        # on travis where slow and flaky tests are excluded.
-        # See http://doc.pytest.org/en/latest/_modules/_pytest/main.html
-        success_codes=[0, 5],
-        env=get_pytest_env_vars(),
-    )
-
-
-@nox.session(python=ALL_VERSIONS)
-def py(session: nox.sessions.Session) -> None:
-    """Runs py.test for a sample using the specified version of Python."""
-    if session.python in TESTED_VERSIONS:
-        _session_tests(session)
-    else:
-        session.skip(
-            "SKIPPED: {} tests are disabled for this sample.".format(session.python)
-        )
-
-
-#
-# Readmegen
-#
-
-
-def _get_repo_root() -> Optional[str]:
-    """Returns the root folder of the project."""
-    # Get root of this repository. Assume we don't have directories nested deeper than 10 items.
-    p = Path(os.getcwd())
-    for i in range(10):
-        if p is None:
-            break
-        if Path(p / ".git").exists():
-            return str(p)
-        # .git is not available in repos cloned via Cloud Build
-        # setup.py is always in the library's root, so use that instead
-        # https://github.com/googleapis/synthtool/issues/792
-        if Path(p / "setup.py").exists():
-            return str(p)
-        p = p.parent
-    raise Exception("Unable to detect repository root.")
-
-
-GENERATED_READMES = sorted([x for x in Path(".").rglob("*.rst.in")])
-
-
-@nox.session
-@nox.parametrize("path", GENERATED_READMES)
-def readmegen(session: nox.sessions.Session, path: str) -> None:
-    """(Re-)generates the readme for a sample."""
-    session.install("jinja2", "pyyaml")
-    dir_ = os.path.dirname(path)
-
-    if os.path.exists(os.path.join(dir_, "requirements.txt")):
-        session.install("-r", os.path.join(dir_, "requirements.txt"))
-
-    in_file = os.path.join(dir_, "README.rst.in")
-    session.run(
-        "python", _get_repo_root() + "/scripts/readme-gen/readme_gen.py", in_file
-    )
diff --git a/samples/snippets/README.rst b/samples/snippets/README.rst
deleted file mode 100644
index 34265a27..00000000
--- a/samples/snippets/README.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-.. This file is automatically generated. Do not edit this file directly.
-
-Google Cloud Speech API Python Samples
-===============================================================================
-
-The samples for this repository moved to https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/speech/
-
-.. image:: https://gstatic.com/cloudssh/images/open-btn.png
-   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=speech/cloud-client/README.rst
-
-
-The client library
--------------------------------------------------------------------------------
-
-This sample uses the `Google Cloud Client Library for Python`_.
-You can read the documentation for more details on API usage and use GitHub
-to `browse the source`_ and  `report issues`_.
-
-.. _Google Cloud Client Library for Python:
-    https://googlecloudplatform.github.io/google-cloud-python/
-.. _browse the source:
-    https://github.com/GoogleCloudPlatform/google-cloud-python
-.. _report issues:
-    https://github.com/GoogleCloudPlatform/google-cloud-python/issues
-
-
-.. _Google Cloud SDK: https://cloud.google.com/sdk/
\ No newline at end of file
diff --git a/samples/snippets/noxfile.py b/samples/snippets/noxfile.py
deleted file mode 100644
index 1224cbe2..00000000
--- a/samples/snippets/noxfile.py
+++ /dev/null
@@ -1,293 +0,0 @@
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import print_function
-
-import glob
-import os
-from pathlib import Path
-import sys
-from typing import Callable, Dict, Optional
-
-import nox
-
-
-# WARNING - WARNING - WARNING - WARNING - WARNING
-# WARNING - WARNING - WARNING - WARNING - WARNING
-#           DO NOT EDIT THIS FILE EVER!
-# WARNING - WARNING - WARNING - WARNING - WARNING
-# WARNING - WARNING - WARNING - WARNING - WARNING
-
-BLACK_VERSION = "black==22.3.0"
-ISORT_VERSION = "isort==5.10.1"
-
-# Copy `noxfile_config.py` to your directory and modify it instead.
-
-# `TEST_CONFIG` dict is a configuration hook that allows users to
-# modify the test configurations. The values here should be in sync
-# with `noxfile_config.py`. Users will copy `noxfile_config.py` into
-# their directory and modify it.
-
-TEST_CONFIG = {
-    # You can opt out from the test for specific Python versions.
-    "ignored_versions": [],
-    # Old samples are opted out of enforcing Python type hints
-    # All new samples should feature them
-    "enforce_type_hints": False,
-    # An envvar key for determining the project id to use. Change it
-    # to 'BUILD_SPECIFIC_GCLOUD_PROJECT' if you want to opt in using a
-    # build specific Cloud project. You can also use your own string
-    # to use your own Cloud project.
-    "gcloud_project_env": "GOOGLE_CLOUD_PROJECT",
-    # 'gcloud_project_env': 'BUILD_SPECIFIC_GCLOUD_PROJECT',
-    # If you need to use a specific version of pip,
-    # change pip_version_override to the string representation
-    # of the version number, for example, "20.2.4"
-    "pip_version_override": None,
-    # A dictionary you want to inject into your test. Don't put any
-    # secrets here. These values will override predefined values.
-    "envs": {},
-}
-
-
-try:
-    # Ensure we can import noxfile_config in the project's directory.
-    sys.path.append(".")
-    from noxfile_config import TEST_CONFIG_OVERRIDE
-except ImportError as e:
-    print("No user noxfile_config found: detail: {}".format(e))
-    TEST_CONFIG_OVERRIDE = {}
-
-# Update the TEST_CONFIG with the user supplied values.
-TEST_CONFIG.update(TEST_CONFIG_OVERRIDE)
-
-
-def get_pytest_env_vars() -> Dict[str, str]:
-    """Returns a dict for pytest invocation."""
-    ret = {}
-
-    # Override the GCLOUD_PROJECT and the alias.
-    env_key = TEST_CONFIG["gcloud_project_env"]
-    # This should error out if not set.
-    ret["GOOGLE_CLOUD_PROJECT"] = os.environ[env_key]
-
-    # Apply user supplied envs.
-    ret.update(TEST_CONFIG["envs"])
-    return ret
-
-
-# DO NOT EDIT - automatically generated.
-# All versions used to test samples.
-ALL_VERSIONS = ["3.7", "3.8", "3.9", "3.10", "3.11"]
-
-# Any default versions that should be ignored.
-IGNORED_VERSIONS = TEST_CONFIG["ignored_versions"]
-
-TESTED_VERSIONS = sorted([v for v in ALL_VERSIONS if v not in IGNORED_VERSIONS])
-
-INSTALL_LIBRARY_FROM_SOURCE = os.environ.get("INSTALL_LIBRARY_FROM_SOURCE", False) in (
-    "True",
-    "true",
-)
-
-# Error if a python version is missing
-nox.options.error_on_missing_interpreters = True
-
-#
-# Style Checks
-#
-
-
-# Linting with flake8.
-#
-# We ignore the following rules:
-#   E203: whitespace before ‘:’
-#   E266: too many leading ‘#’ for block comment
-#   E501: line too long
-#   I202: Additional newline in a section of imports
-#
-# We also need to specify the rules which are ignored by default:
-# ['E226', 'W504', 'E126', 'E123', 'W503', 'E24', 'E704', 'E121']
-FLAKE8_COMMON_ARGS = [
-    "--show-source",
-    "--builtin=gettext",
-    "--max-complexity=20",
-    "--exclude=.nox,.cache,env,lib,generated_pb2,*_pb2.py,*_pb2_grpc.py",
-    "--ignore=E121,E123,E126,E203,E226,E24,E266,E501,E704,W503,W504,I202",
-    "--max-line-length=88",
-]
-
-
-@nox.session
-def lint(session: nox.sessions.Session) -> None:
-    if not TEST_CONFIG["enforce_type_hints"]:
-        session.install("flake8")
-    else:
-        session.install("flake8", "flake8-annotations")
-
-    args = FLAKE8_COMMON_ARGS + [
-        ".",
-    ]
-    session.run("flake8", *args)
-
-
-#
-# Black
-#
-
-
-@nox.session
-def blacken(session: nox.sessions.Session) -> None:
-    """Run black. Format code to uniform standard."""
-    session.install(BLACK_VERSION)
-    python_files = [path for path in os.listdir(".") if path.endswith(".py")]
-
-    session.run("black", *python_files)
-
-
-#
-# format = isort + black
-#
-
-
-@nox.session
-def format(session: nox.sessions.Session) -> None:
-    """
-    Run isort to sort imports. Then run black
-    to format code to uniform standard.
-    """
-    session.install(BLACK_VERSION, ISORT_VERSION)
-    python_files = [path for path in os.listdir(".") if path.endswith(".py")]
-
-    # Use the --fss option to sort imports using strict alphabetical order.
-    # See https://pycqa.github.io/isort/docs/configuration/options.html#force-sort-within-sections
-    session.run("isort", "--fss", *python_files)
-    session.run("black", *python_files)
-
-
-#
-# Sample Tests
-#
-
-
-PYTEST_COMMON_ARGS = ["--junitxml=sponge_log.xml"]
-
-
-def _session_tests(
-    session: nox.sessions.Session, post_install: Callable = None
-) -> None:
-    # check for presence of tests
-    test_list = glob.glob("**/*_test.py", recursive=True) + glob.glob(
-        "**/test_*.py", recursive=True
-    )
-    test_list.extend(glob.glob("**/tests", recursive=True))
-
-    if len(test_list) == 0:
-        print("No tests found, skipping directory.")
-        return
-
-    if TEST_CONFIG["pip_version_override"]:
-        pip_version = TEST_CONFIG["pip_version_override"]
-        session.install(f"pip=={pip_version}")
-    """Runs py.test for a particular project."""
-    concurrent_args = []
-    if os.path.exists("requirements.txt"):
-        if os.path.exists("constraints.txt"):
-            session.install("-r", "requirements.txt", "-c", "constraints.txt")
-        else:
-            session.install("-r", "requirements.txt")
-        with open("requirements.txt") as rfile:
-            packages = rfile.read()
-
-    if os.path.exists("requirements-test.txt"):
-        if os.path.exists("constraints-test.txt"):
-            session.install("-r", "requirements-test.txt", "-c", "constraints-test.txt")
-        else:
-            session.install("-r", "requirements-test.txt")
-        with open("requirements-test.txt") as rtfile:
-            packages += rtfile.read()
-
-    if INSTALL_LIBRARY_FROM_SOURCE:
-        session.install("-e", _get_repo_root())
-
-    if post_install:
-        post_install(session)
-
-    if "pytest-parallel" in packages:
-        concurrent_args.extend(["--workers", "auto", "--tests-per-worker", "auto"])
-    elif "pytest-xdist" in packages:
-        concurrent_args.extend(["-n", "auto"])
-
-    session.run(
-        "pytest",
-        *(PYTEST_COMMON_ARGS + session.posargs + concurrent_args),
-        # Pytest will return 5 when no tests are collected. This can happen
-        # on travis where slow and flaky tests are excluded.
-        # See http://doc.pytest.org/en/latest/_modules/_pytest/main.html
-        success_codes=[0, 5],
-        env=get_pytest_env_vars(),
-    )
-
-
-@nox.session(python=ALL_VERSIONS)
-def py(session: nox.sessions.Session) -> None:
-    """Runs py.test for a sample using the specified version of Python."""
-    if session.python in TESTED_VERSIONS:
-        _session_tests(session)
-    else:
-        session.skip(
-            "SKIPPED: {} tests are disabled for this sample.".format(session.python)
-        )
-
-
-#
-# Readmegen
-#
-
-
-def _get_repo_root() -> Optional[str]:
-    """Returns the root folder of the project."""
-    # Get root of this repository. Assume we don't have directories nested deeper than 10 items.
-    p = Path(os.getcwd())
-    for i in range(10):
-        if p is None:
-            break
-        if Path(p / ".git").exists():
-            return str(p)
-        # .git is not available in repos cloned via Cloud Build
-        # setup.py is always in the library's root, so use that instead
-        # https://github.com/googleapis/synthtool/issues/792
-        if Path(p / "setup.py").exists():
-            return str(p)
-        p = p.parent
-    raise Exception("Unable to detect repository root.")
-
-
-GENERATED_READMES = sorted([x for x in Path(".").rglob("*.rst.in")])
-
-
-@nox.session
-@nox.parametrize("path", GENERATED_READMES)
-def readmegen(session: nox.sessions.Session, path: str) -> None:
-    """(Re-)generates the readme for a sample."""
-    session.install("jinja2", "pyyaml")
-    dir_ = os.path.dirname(path)
-
-    if os.path.exists(os.path.join(dir_, "requirements.txt")):
-        session.install("-r", os.path.join(dir_, "requirements.txt"))
-
-    in_file = os.path.join(dir_, "README.rst.in")
-    session.run(
-        "python", _get_repo_root() + "/scripts/readme-gen/readme_gen.py", in_file
-    )
diff --git a/scripts/decrypt-secrets.sh b/scripts/decrypt-secrets.sh
deleted file mode 100755
index 0018b421..00000000
--- a/scripts/decrypt-secrets.sh
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/bin/bash
-
-# Copyright 2023 Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
-ROOT=$( dirname "$DIR" )
-
-# Work from the project root.
-cd $ROOT
-
-# Prevent it from overriding files.
-# We recommend that sample authors use their own service account files and cloud project.
-# In that case, they are supposed to prepare these files by themselves.
-if [[ -f "testing/test-env.sh" ]] || \
-       [[ -f "testing/service-account.json" ]] || \
-       [[ -f "testing/client-secrets.json" ]]; then
-    echo "One or more target files exist, aborting."
-    exit 1
-fi
-
-# Use SECRET_MANAGER_PROJECT if set, fallback to cloud-devrel-kokoro-resources.
-PROJECT_ID="${SECRET_MANAGER_PROJECT:-cloud-devrel-kokoro-resources}"
-
-gcloud secrets versions access latest --secret="python-docs-samples-test-env" \
-       --project="${PROJECT_ID}" \
-       > testing/test-env.sh
-gcloud secrets versions access latest \
-       --secret="python-docs-samples-service-account" \
-       --project="${PROJECT_ID}" \
-       > testing/service-account.json
-gcloud secrets versions access latest \
-       --secret="python-docs-samples-client-secrets" \
-       --project="${PROJECT_ID}" \
-       > testing/client-secrets.json
diff --git a/scripts/fixup_speech_v1_keywords.py b/scripts/fixup_speech_v1_keywords.py
deleted file mode 100644
index 7c57a5db..00000000
--- a/scripts/fixup_speech_v1_keywords.py
+++ /dev/null
@@ -1,188 +0,0 @@
-#! /usr/bin/env python3
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import argparse
-import os
-import libcst as cst
-import pathlib
-import sys
-from typing import (Any, Callable, Dict, List, Sequence, Tuple)
-
-
-def partition(
-    predicate: Callable[[Any], bool],
-    iterator: Sequence[Any]
-) -> Tuple[List[Any], List[Any]]:
-    """A stable, out-of-place partition."""
-    results = ([], [])
-
-    for i in iterator:
-        results[int(predicate(i))].append(i)
-
-    # Returns trueList, falseList
-    return results[1], results[0]
-
-
-class speechCallTransformer(cst.CSTTransformer):
-    CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
-    METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
-        'create_custom_class': ('parent', 'custom_class_id', 'custom_class', ),
-        'create_phrase_set': ('parent', 'phrase_set_id', 'phrase_set', ),
-        'delete_custom_class': ('name', ),
-        'delete_phrase_set': ('name', ),
-        'get_custom_class': ('name', ),
-        'get_phrase_set': ('name', ),
-        'list_custom_classes': ('parent', 'page_size', 'page_token', ),
-        'list_phrase_set': ('parent', 'page_size', 'page_token', ),
-        'long_running_recognize': ('config', 'audio', 'output_config', ),
-        'recognize': ('config', 'audio', ),
-        'streaming_recognize': ('streaming_config', 'audio_content', ),
-        'update_custom_class': ('custom_class', 'update_mask', ),
-        'update_phrase_set': ('phrase_set', 'update_mask', ),
-    }
-
-    def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode:
-        try:
-            key = original.func.attr.value
-            kword_params = self.METHOD_TO_PARAMS[key]
-        except (AttributeError, KeyError):
-            # Either not a method from the API or too convoluted to be sure.
-            return updated
-
-        # If the existing code is valid, keyword args come after positional args.
-        # Therefore, all positional args must map to the first parameters.
-        args, kwargs = partition(lambda a: not bool(a.keyword), updated.args)
-        if any(k.keyword.value == "request" for k in kwargs):
-            # We've already fixed this file, don't fix it again.
-            return updated
-
-        kwargs, ctrl_kwargs = partition(
-            lambda a: a.keyword.value not in self.CTRL_PARAMS,
-            kwargs
-        )
-
-        args, ctrl_args = args[:len(kword_params)], args[len(kword_params):]
-        ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl))
-                           for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS))
-
-        request_arg = cst.Arg(
-            value=cst.Dict([
-                cst.DictElement(
-                    cst.SimpleString("'{}'".format(name)),
-cst.Element(value=arg.value)
-                )
-                # Note: the args + kwargs looks silly, but keep in mind that
-                # the control parameters had to be stripped out, and that
-                # those could have been passed positionally or by keyword.
-                for name, arg in zip(kword_params, args + kwargs)]),
-            keyword=cst.Name("request")
-        )
-
-        return updated.with_changes(
-            args=[request_arg] + ctrl_kwargs
-        )
-
-
-def fix_files(
-    in_dir: pathlib.Path,
-    out_dir: pathlib.Path,
-    *,
-    transformer=speechCallTransformer(),
-):
-    """Duplicate the input dir to the output dir, fixing file method calls.
-
-    Preconditions:
-    * in_dir is a real directory
-    * out_dir is a real, empty directory
-    """
-    pyfile_gen = (
-        pathlib.Path(os.path.join(root, f))
-        for root, _, files in os.walk(in_dir)
-        for f in files if os.path.splitext(f)[1] == ".py"
-    )
-
-    for fpath in pyfile_gen:
-        with open(fpath, 'r') as f:
-            src = f.read()
-
-        # Parse the code and insert method call fixes.
-        tree = cst.parse_module(src)
-        updated = tree.visit(transformer)
-
-        # Create the path and directory structure for the new file.
-        updated_path = out_dir.joinpath(fpath.relative_to(in_dir))
-        updated_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Generate the updated source file at the corresponding path.
-        with open(updated_path, 'w') as f:
-            f.write(updated.code)
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(
-        description="""Fix up source that uses the speech client library.
-
-The existing sources are NOT overwritten but are copied to output_dir with changes made.
-
-Note: This tool operates at a best-effort level at converting positional
-      parameters in client method calls to keyword based parameters.
-      Cases where it WILL FAIL include
-      A) * or ** expansion in a method call.
-      B) Calls via function or method alias (includes free function calls)
-      C) Indirect or dispatched calls (e.g. the method is looked up dynamically)
-
-      These all constitute false negatives. The tool will also detect false
-      positives when an API method shares a name with another method.
-""")
-    parser.add_argument(
-        '-d',
-        '--input-directory',
-        required=True,
-        dest='input_dir',
-        help='the input directory to walk for python files to fix up',
-    )
-    parser.add_argument(
-        '-o',
-        '--output-directory',
-        required=True,
-        dest='output_dir',
-        help='the directory to output files fixed via un-flattening',
-    )
-    args = parser.parse_args()
-    input_dir = pathlib.Path(args.input_dir)
-    output_dir = pathlib.Path(args.output_dir)
-    if not input_dir.is_dir():
-        print(
-            f"input directory '{input_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if not output_dir.is_dir():
-        print(
-            f"output directory '{output_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if os.listdir(output_dir):
-        print(
-            f"output directory '{output_dir}' is not empty",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    fix_files(input_dir, output_dir)
diff --git a/scripts/fixup_speech_v1p1beta1_keywords.py b/scripts/fixup_speech_v1p1beta1_keywords.py
deleted file mode 100644
index 7c57a5db..00000000
--- a/scripts/fixup_speech_v1p1beta1_keywords.py
+++ /dev/null
@@ -1,188 +0,0 @@
-#! /usr/bin/env python3
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import argparse
-import os
-import libcst as cst
-import pathlib
-import sys
-from typing import (Any, Callable, Dict, List, Sequence, Tuple)
-
-
-def partition(
-    predicate: Callable[[Any], bool],
-    iterator: Sequence[Any]
-) -> Tuple[List[Any], List[Any]]:
-    """A stable, out-of-place partition."""
-    results = ([], [])
-
-    for i in iterator:
-        results[int(predicate(i))].append(i)
-
-    # Returns trueList, falseList
-    return results[1], results[0]
-
-
-class speechCallTransformer(cst.CSTTransformer):
-    CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
-    METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
-        'create_custom_class': ('parent', 'custom_class_id', 'custom_class', ),
-        'create_phrase_set': ('parent', 'phrase_set_id', 'phrase_set', ),
-        'delete_custom_class': ('name', ),
-        'delete_phrase_set': ('name', ),
-        'get_custom_class': ('name', ),
-        'get_phrase_set': ('name', ),
-        'list_custom_classes': ('parent', 'page_size', 'page_token', ),
-        'list_phrase_set': ('parent', 'page_size', 'page_token', ),
-        'long_running_recognize': ('config', 'audio', 'output_config', ),
-        'recognize': ('config', 'audio', ),
-        'streaming_recognize': ('streaming_config', 'audio_content', ),
-        'update_custom_class': ('custom_class', 'update_mask', ),
-        'update_phrase_set': ('phrase_set', 'update_mask', ),
-    }
-
-    def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode:
-        try:
-            key = original.func.attr.value
-            kword_params = self.METHOD_TO_PARAMS[key]
-        except (AttributeError, KeyError):
-            # Either not a method from the API or too convoluted to be sure.
-            return updated
-
-        # If the existing code is valid, keyword args come after positional args.
-        # Therefore, all positional args must map to the first parameters.
-        args, kwargs = partition(lambda a: not bool(a.keyword), updated.args)
-        if any(k.keyword.value == "request" for k in kwargs):
-            # We've already fixed this file, don't fix it again.
-            return updated
-
-        kwargs, ctrl_kwargs = partition(
-            lambda a: a.keyword.value not in self.CTRL_PARAMS,
-            kwargs
-        )
-
-        args, ctrl_args = args[:len(kword_params)], args[len(kword_params):]
-        ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl))
-                           for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS))
-
-        request_arg = cst.Arg(
-            value=cst.Dict([
-                cst.DictElement(
-                    cst.SimpleString("'{}'".format(name)),
-cst.Element(value=arg.value)
-                )
-                # Note: the args + kwargs looks silly, but keep in mind that
-                # the control parameters had to be stripped out, and that
-                # those could have been passed positionally or by keyword.
-                for name, arg in zip(kword_params, args + kwargs)]),
-            keyword=cst.Name("request")
-        )
-
-        return updated.with_changes(
-            args=[request_arg] + ctrl_kwargs
-        )
-
-
-def fix_files(
-    in_dir: pathlib.Path,
-    out_dir: pathlib.Path,
-    *,
-    transformer=speechCallTransformer(),
-):
-    """Duplicate the input dir to the output dir, fixing file method calls.
-
-    Preconditions:
-    * in_dir is a real directory
-    * out_dir is a real, empty directory
-    """
-    pyfile_gen = (
-        pathlib.Path(os.path.join(root, f))
-        for root, _, files in os.walk(in_dir)
-        for f in files if os.path.splitext(f)[1] == ".py"
-    )
-
-    for fpath in pyfile_gen:
-        with open(fpath, 'r') as f:
-            src = f.read()
-
-        # Parse the code and insert method call fixes.
-        tree = cst.parse_module(src)
-        updated = tree.visit(transformer)
-
-        # Create the path and directory structure for the new file.
-        updated_path = out_dir.joinpath(fpath.relative_to(in_dir))
-        updated_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Generate the updated source file at the corresponding path.
-        with open(updated_path, 'w') as f:
-            f.write(updated.code)
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(
-        description="""Fix up source that uses the speech client library.
-
-The existing sources are NOT overwritten but are copied to output_dir with changes made.
-
-Note: This tool operates at a best-effort level at converting positional
-      parameters in client method calls to keyword based parameters.
-      Cases where it WILL FAIL include
-      A) * or ** expansion in a method call.
-      B) Calls via function or method alias (includes free function calls)
-      C) Indirect or dispatched calls (e.g. the method is looked up dynamically)
-
-      These all constitute false negatives. The tool will also detect false
-      positives when an API method shares a name with another method.
-""")
-    parser.add_argument(
-        '-d',
-        '--input-directory',
-        required=True,
-        dest='input_dir',
-        help='the input directory to walk for python files to fix up',
-    )
-    parser.add_argument(
-        '-o',
-        '--output-directory',
-        required=True,
-        dest='output_dir',
-        help='the directory to output files fixed via un-flattening',
-    )
-    args = parser.parse_args()
-    input_dir = pathlib.Path(args.input_dir)
-    output_dir = pathlib.Path(args.output_dir)
-    if not input_dir.is_dir():
-        print(
-            f"input directory '{input_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if not output_dir.is_dir():
-        print(
-            f"output directory '{output_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if os.listdir(output_dir):
-        print(
-            f"output directory '{output_dir}' is not empty",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    fix_files(input_dir, output_dir)
diff --git a/scripts/fixup_speech_v2_keywords.py b/scripts/fixup_speech_v2_keywords.py
deleted file mode 100644
index db10b58f..00000000
--- a/scripts/fixup_speech_v2_keywords.py
+++ /dev/null
@@ -1,198 +0,0 @@
-#! /usr/bin/env python3
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import argparse
-import os
-import libcst as cst
-import pathlib
-import sys
-from typing import (Any, Callable, Dict, List, Sequence, Tuple)
-
-
-def partition(
-    predicate: Callable[[Any], bool],
-    iterator: Sequence[Any]
-) -> Tuple[List[Any], List[Any]]:
-    """A stable, out-of-place partition."""
-    results = ([], [])
-
-    for i in iterator:
-        results[int(predicate(i))].append(i)
-
-    # Returns trueList, falseList
-    return results[1], results[0]
-
-
-class speechCallTransformer(cst.CSTTransformer):
-    CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata')
-    METHOD_TO_PARAMS: Dict[str, Tuple[str]] = {
-        'batch_recognize': ('recognizer', 'config', 'config_mask', 'files', 'recognition_output_config', 'processing_strategy', ),
-        'create_custom_class': ('custom_class', 'parent', 'validate_only', 'custom_class_id', ),
-        'create_phrase_set': ('phrase_set', 'parent', 'validate_only', 'phrase_set_id', ),
-        'create_recognizer': ('recognizer', 'parent', 'validate_only', 'recognizer_id', ),
-        'delete_custom_class': ('name', 'validate_only', 'allow_missing', 'etag', ),
-        'delete_phrase_set': ('name', 'validate_only', 'allow_missing', 'etag', ),
-        'delete_recognizer': ('name', 'validate_only', 'allow_missing', 'etag', ),
-        'get_config': ('name', ),
-        'get_custom_class': ('name', ),
-        'get_phrase_set': ('name', ),
-        'get_recognizer': ('name', ),
-        'list_custom_classes': ('parent', 'page_size', 'page_token', 'show_deleted', ),
-        'list_phrase_sets': ('parent', 'page_size', 'page_token', 'show_deleted', ),
-        'list_recognizers': ('parent', 'page_size', 'page_token', 'show_deleted', ),
-        'recognize': ('recognizer', 'config', 'config_mask', 'content', 'uri', ),
-        'streaming_recognize': ('recognizer', 'streaming_config', 'audio', ),
-        'undelete_custom_class': ('name', 'validate_only', 'etag', ),
-        'undelete_phrase_set': ('name', 'validate_only', 'etag', ),
-        'undelete_recognizer': ('name', 'validate_only', 'etag', ),
-        'update_config': ('config', 'update_mask', ),
-        'update_custom_class': ('custom_class', 'update_mask', 'validate_only', ),
-        'update_phrase_set': ('phrase_set', 'update_mask', 'validate_only', ),
-        'update_recognizer': ('recognizer', 'update_mask', 'validate_only', ),
-    }
-
-    def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode:
-        try:
-            key = original.func.attr.value
-            kword_params = self.METHOD_TO_PARAMS[key]
-        except (AttributeError, KeyError):
-            # Either not a method from the API or too convoluted to be sure.
-            return updated
-
-        # If the existing code is valid, keyword args come after positional args.
-        # Therefore, all positional args must map to the first parameters.
-        args, kwargs = partition(lambda a: not bool(a.keyword), updated.args)
-        if any(k.keyword.value == "request" for k in kwargs):
-            # We've already fixed this file, don't fix it again.
-            return updated
-
-        kwargs, ctrl_kwargs = partition(
-            lambda a: a.keyword.value not in self.CTRL_PARAMS,
-            kwargs
-        )
-
-        args, ctrl_args = args[:len(kword_params)], args[len(kword_params):]
-        ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl))
-                           for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS))
-
-        request_arg = cst.Arg(
-            value=cst.Dict([
-                cst.DictElement(
-                    cst.SimpleString("'{}'".format(name)),
-cst.Element(value=arg.value)
-                )
-                # Note: the args + kwargs looks silly, but keep in mind that
-                # the control parameters had to be stripped out, and that
-                # those could have been passed positionally or by keyword.
-                for name, arg in zip(kword_params, args + kwargs)]),
-            keyword=cst.Name("request")
-        )
-
-        return updated.with_changes(
-            args=[request_arg] + ctrl_kwargs
-        )
-
-
-def fix_files(
-    in_dir: pathlib.Path,
-    out_dir: pathlib.Path,
-    *,
-    transformer=speechCallTransformer(),
-):
-    """Duplicate the input dir to the output dir, fixing file method calls.
-
-    Preconditions:
-    * in_dir is a real directory
-    * out_dir is a real, empty directory
-    """
-    pyfile_gen = (
-        pathlib.Path(os.path.join(root, f))
-        for root, _, files in os.walk(in_dir)
-        for f in files if os.path.splitext(f)[1] == ".py"
-    )
-
-    for fpath in pyfile_gen:
-        with open(fpath, 'r') as f:
-            src = f.read()
-
-        # Parse the code and insert method call fixes.
-        tree = cst.parse_module(src)
-        updated = tree.visit(transformer)
-
-        # Create the path and directory structure for the new file.
-        updated_path = out_dir.joinpath(fpath.relative_to(in_dir))
-        updated_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Generate the updated source file at the corresponding path.
-        with open(updated_path, 'w') as f:
-            f.write(updated.code)
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(
-        description="""Fix up source that uses the speech client library.
-
-The existing sources are NOT overwritten but are copied to output_dir with changes made.
-
-Note: This tool operates at a best-effort level at converting positional
-      parameters in client method calls to keyword based parameters.
-      Cases where it WILL FAIL include
-      A) * or ** expansion in a method call.
-      B) Calls via function or method alias (includes free function calls)
-      C) Indirect or dispatched calls (e.g. the method is looked up dynamically)
-
-      These all constitute false negatives. The tool will also detect false
-      positives when an API method shares a name with another method.
-""")
-    parser.add_argument(
-        '-d',
-        '--input-directory',
-        required=True,
-        dest='input_dir',
-        help='the input directory to walk for python files to fix up',
-    )
-    parser.add_argument(
-        '-o',
-        '--output-directory',
-        required=True,
-        dest='output_dir',
-        help='the directory to output files fixed via un-flattening',
-    )
-    args = parser.parse_args()
-    input_dir = pathlib.Path(args.input_dir)
-    output_dir = pathlib.Path(args.output_dir)
-    if not input_dir.is_dir():
-        print(
-            f"input directory '{input_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if not output_dir.is_dir():
-        print(
-            f"output directory '{output_dir}' does not exist or is not a directory",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    if os.listdir(output_dir):
-        print(
-            f"output directory '{output_dir}' is not empty",
-            file=sys.stderr,
-        )
-        sys.exit(-1)
-
-    fix_files(input_dir, output_dir)
diff --git a/scripts/readme-gen/readme_gen.py b/scripts/readme-gen/readme_gen.py
deleted file mode 100644
index 1acc1198..00000000
--- a/scripts/readme-gen/readme_gen.py
+++ /dev/null
@@ -1,69 +0,0 @@
-#!/usr/bin/env python
-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Generates READMEs using configuration defined in yaml."""
-
-import argparse
-import io
-import os
-import subprocess
-
-import jinja2
-import yaml
-
-
-jinja_env = jinja2.Environment(
-    trim_blocks=True,
-    loader=jinja2.FileSystemLoader(
-        os.path.abspath(os.path.join(os.path.dirname(__file__), "templates"))
-    ),
-    autoescape=True,
-)
-
-README_TMPL = jinja_env.get_template("README.tmpl.rst")
-
-
-def get_help(file):
-    return subprocess.check_output(["python", file, "--help"]).decode()
-
-
-def main():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("source")
-    parser.add_argument("--destination", default="README.rst")
-
-    args = parser.parse_args()
-
-    source = os.path.abspath(args.source)
-    root = os.path.dirname(source)
-    destination = os.path.join(root, args.destination)
-
-    jinja_env.globals["get_help"] = get_help
-
-    with io.open(source, "r") as f:
-        config = yaml.load(f)
-
-    # This allows get_help to execute in the right directory.
-    os.chdir(root)
-
-    output = README_TMPL.render(config)
-
-    with io.open(destination, "w") as f:
-        f.write(output)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/readme-gen/templates/README.tmpl.rst b/scripts/readme-gen/templates/README.tmpl.rst
deleted file mode 100644
index 4fd23976..00000000
--- a/scripts/readme-gen/templates/README.tmpl.rst
+++ /dev/null
@@ -1,87 +0,0 @@
-{# The following line is a lie. BUT! Once jinja2 is done with it, it will
-    become truth! #}
-.. This file is automatically generated. Do not edit this file directly.
-
-{{product.name}} Python Samples
-===============================================================================
-
-.. image:: https://gstatic.com/cloudssh/images/open-btn.png
-   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor={{folder}}/README.rst
-
-
-This directory contains samples for {{product.name}}. {{product.description}}
-
-{{description}}
-
-.. _{{product.name}}: {{product.url}}
-
-{% if required_api_url %}
-To run the sample, you need to enable the API at: {{required_api_url}}
-{% endif %}
-
-{% if required_role %}
-To run the sample, you need to have `{{required_role}}` role.
-{% endif %}
-
-{{other_required_steps}}
-
-{% if setup %}
-Setup
--------------------------------------------------------------------------------
-
-{% for section in setup %}
-
-{% include section + '.tmpl.rst' %}
-
-{% endfor %}
-{% endif %}
-
-{% if samples %}
-Samples
--------------------------------------------------------------------------------
-
-{% for sample in samples %}
-{{sample.name}}
-+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-
-{% if not sample.hide_cloudshell_button %}
-.. image:: https://gstatic.com/cloudssh/images/open-btn.png
-   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor={{folder}}/{{sample.file}},{{folder}}/README.rst
-{% endif %}
-
-
-{{sample.description}}
-
-To run this sample:
-
-.. code-block:: bash
-
-    $ python {{sample.file}}
-{% if sample.show_help %}
-
-    {{get_help(sample.file)|indent}}
-{% endif %}
-
-
-{% endfor %}
-{% endif %}
-
-{% if cloud_client_library %}
-
-The client library
--------------------------------------------------------------------------------
-
-This sample uses the `Google Cloud Client Library for Python`_.
-You can read the documentation for more details on API usage and use GitHub
-to `browse the source`_ and  `report issues`_.
-
-.. _Google Cloud Client Library for Python:
-    https://googlecloudplatform.github.io/google-cloud-python/
-.. _browse the source:
-    https://github.com/GoogleCloudPlatform/google-cloud-python
-.. _report issues:
-    https://github.com/GoogleCloudPlatform/google-cloud-python/issues
-
-{% endif %}
-
-.. _Google Cloud SDK: https://cloud.google.com/sdk/
\ No newline at end of file
diff --git a/scripts/readme-gen/templates/auth.tmpl.rst b/scripts/readme-gen/templates/auth.tmpl.rst
deleted file mode 100644
index 1446b94a..00000000
--- a/scripts/readme-gen/templates/auth.tmpl.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-Authentication
-++++++++++++++
-
-This sample requires you to have authentication setup. Refer to the
-`Authentication Getting Started Guide`_ for instructions on setting up
-credentials for applications.
-
-.. _Authentication Getting Started Guide:
-    https://cloud.google.com/docs/authentication/getting-started
diff --git a/scripts/readme-gen/templates/auth_api_key.tmpl.rst b/scripts/readme-gen/templates/auth_api_key.tmpl.rst
deleted file mode 100644
index 11957ce2..00000000
--- a/scripts/readme-gen/templates/auth_api_key.tmpl.rst
+++ /dev/null
@@ -1,14 +0,0 @@
-Authentication
-++++++++++++++
-
-Authentication for this service is done via an `API Key`_. To obtain an API
-Key:
-
-1. Open the `Cloud Platform Console`_
-2. Make sure that billing is enabled for your project.
-3. From the **Credentials** page, create a new **API Key** or use an existing
-   one for your project.
-
-.. _API Key:
-    https://developers.google.com/api-client-library/python/guide/aaa_apikeys
-.. _Cloud Console: https://console.cloud.google.com/project?_
diff --git a/scripts/readme-gen/templates/install_deps.tmpl.rst b/scripts/readme-gen/templates/install_deps.tmpl.rst
deleted file mode 100644
index 6f069c6c..00000000
--- a/scripts/readme-gen/templates/install_deps.tmpl.rst
+++ /dev/null
@@ -1,29 +0,0 @@
-Install Dependencies
-++++++++++++++++++++
-
-#. Clone python-docs-samples and change directory to the sample directory you want to use.
-
-    .. code-block:: bash
-
-        $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
-
-#. Install `pip`_ and `virtualenv`_ if you do not already have them. You may want to refer to the `Python Development Environment Setup Guide`_ for Google Cloud Platform for instructions.
-
-   .. _Python Development Environment Setup Guide:
-       https://cloud.google.com/python/setup
-
-#. Create a virtualenv. Samples are compatible with Python 3.7+.
-
-    .. code-block:: bash
-
-        $ virtualenv env
-        $ source env/bin/activate
-
-#. Install the dependencies needed to run the samples.
-
-    .. code-block:: bash
-
-        $ pip install -r requirements.txt
-
-.. _pip: https://pip.pypa.io/
-.. _virtualenv: https://virtualenv.pypa.io/
diff --git a/scripts/readme-gen/templates/install_portaudio.tmpl.rst b/scripts/readme-gen/templates/install_portaudio.tmpl.rst
deleted file mode 100644
index 5ea33d18..00000000
--- a/scripts/readme-gen/templates/install_portaudio.tmpl.rst
+++ /dev/null
@@ -1,35 +0,0 @@
-Install PortAudio
-+++++++++++++++++
-
-Install `PortAudio`_. This is required by the `PyAudio`_ library to stream
-audio from your computer's microphone. PyAudio depends on PortAudio for cross-platform compatibility, and is installed differently depending on the
-platform.
-
-* For Mac OS X, you can use `Homebrew`_::
-
-      brew install portaudio
-
-  **Note**: if you encounter an error when running `pip install` that indicates
-  it can't find `portaudio.h`, try running `pip install` with the following
-  flags::
-
-      pip install --global-option='build_ext' \
-          --global-option='-I/usr/local/include' \
-          --global-option='-L/usr/local/lib' \
-          pyaudio
-
-* For Debian / Ubuntu Linux::
-
-      apt-get install portaudio19-dev python-all-dev
-
-* Windows may work without having to install PortAudio explicitly (it will get
-  installed with PyAudio).
-
-For more details, see the `PyAudio installation`_ page.
-
-
-.. _PyAudio: https://people.csail.mit.edu/hubert/pyaudio/
-.. _PortAudio: http://www.portaudio.com/
-.. _PyAudio installation:
-  https://people.csail.mit.edu/hubert/pyaudio/#downloads
-.. _Homebrew: http://brew.sh
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index 05235008..00000000
--- a/setup.cfg
+++ /dev/null
@@ -1,19 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[bdist_wheel]
-universal = 1
diff --git a/setup.py b/setup.py
deleted file mode 100644
index f0fddeb5..00000000
--- a/setup.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import io
-import os
-
-import setuptools  # type: ignore
-
-package_root = os.path.abspath(os.path.dirname(__file__))
-
-name = "google-cloud-speech"
-
-
-description = "Google Cloud Speech API client library"
-
-version = {}
-with open(os.path.join(package_root, "google/cloud/speech/gapic_version.py")) as fp:
-    exec(fp.read(), version)
-version = version["__version__"]
-
-if version[0] == "0":
-    release_status = "Development Status :: 4 - Beta"
-else:
-    release_status = "Development Status :: 5 - Production/Stable"
-
-dependencies = [
-    "google-api-core[grpc] >= 1.34.0, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*",
-    "proto-plus >= 1.22.0, <2.0.0dev",
-    "proto-plus >= 1.22.2, <2.0.0dev; python_version>='3.11'",
-    "protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5",
-]
-url = "https://github.com/googleapis/python-speech"
-
-package_root = os.path.abspath(os.path.dirname(__file__))
-
-readme_filename = os.path.join(package_root, "README.rst")
-with io.open(readme_filename, encoding="utf-8") as readme_file:
-    readme = readme_file.read()
-
-packages = [
-    package
-    for package in setuptools.PEP420PackageFinder.find()
-    if package.startswith("google")
-]
-
-namespaces = ["google", "google.cloud"]
-
-setuptools.setup(
-    name=name,
-    version=version,
-    description=description,
-    long_description=readme,
-    author="Google LLC",
-    author_email="googleapis-packages@google.com",
-    license="Apache 2.0",
-    url=url,
-    classifiers=[
-        release_status,
-        "Intended Audience :: Developers",
-        "License :: OSI Approved :: Apache Software License",
-        "Programming Language :: Python",
-        "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.7",
-        "Programming Language :: Python :: 3.8",
-        "Programming Language :: Python :: 3.9",
-        "Programming Language :: Python :: 3.10",
-        "Programming Language :: Python :: 3.11",
-        "Operating System :: OS Independent",
-        "Topic :: Internet",
-    ],
-    platforms="Posix; MacOS X; Windows",
-    packages=packages,
-    python_requires=">=3.7",
-    namespace_packages=namespaces,
-    install_requires=dependencies,
-    include_package_data=True,
-    zip_safe=False,
-)
diff --git a/testing/.gitignore b/testing/.gitignore
deleted file mode 100644
index b05fbd63..00000000
--- a/testing/.gitignore
+++ /dev/null
@@ -1,3 +0,0 @@
-test-env.sh
-service-account.json
-client-secrets.json
\ No newline at end of file
diff --git a/testing/constraints-3.10.txt b/testing/constraints-3.10.txt
deleted file mode 100644
index ed7f9aed..00000000
--- a/testing/constraints-3.10.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
diff --git a/testing/constraints-3.11.txt b/testing/constraints-3.11.txt
deleted file mode 100644
index ed7f9aed..00000000
--- a/testing/constraints-3.11.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
diff --git a/testing/constraints-3.12.txt b/testing/constraints-3.12.txt
deleted file mode 100644
index ed7f9aed..00000000
--- a/testing/constraints-3.12.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
diff --git a/testing/constraints-3.7.txt b/testing/constraints-3.7.txt
deleted file mode 100644
index 6c44adfe..00000000
--- a/testing/constraints-3.7.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-# This constraints file is used to check that lower bounds
-# are correct in setup.py
-# List all library dependencies and extras in this file.
-# Pin the version to the lower bound.
-# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev",
-# Then this file should have google-cloud-foo==1.14.0
-google-api-core==1.34.0
-proto-plus==1.22.0
-protobuf==3.19.5
diff --git a/testing/constraints-3.8.txt b/testing/constraints-3.8.txt
deleted file mode 100644
index ed7f9aed..00000000
--- a/testing/constraints-3.8.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
diff --git a/testing/constraints-3.9.txt b/testing/constraints-3.9.txt
deleted file mode 100644
index ed7f9aed..00000000
--- a/testing/constraints-3.9.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-# -*- coding: utf-8 -*-
-# This constraints file is required for unit tests.
-# List all library dependencies and extras in this file.
-google-api-core
-proto-plus
-protobuf
diff --git a/tests/__init__.py b/tests/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/system/gapic/v1/test_system_speech_v1.py b/tests/system/gapic/v1/test_system_speech_v1.py
deleted file mode 100644
index e2fc3b12..00000000
--- a/tests/system/gapic/v1/test_system_speech_v1.py
+++ /dev/null
@@ -1,91 +0,0 @@
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-import io
-import requests
-
-from google.cloud import speech_v1
-
-
-class TestSystemSpeech(object):
-    def test_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1.SpeechClient()
-
-        config = {
-            "encoding": speech_v1.RecognitionConfig.AudioEncoding.FLAC,
-            "language_code": "en-US",
-            "sample_rate_hertz": 16000,
-        }
-
-        uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
-        audio = {"uri": uri}
-
-        response = client.recognize(config=config, audio=audio)
-
-        assert response.results[0].alternatives[0].transcript is not None
-
-    def test_long_running_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1.SpeechClient()
-
-        config = speech_v1.RecognitionConfig(
-            encoding=speech_v1.RecognitionConfig.AudioEncoding.FLAC,
-            language_code="en-US",
-            sample_rate_hertz=16000,
-        )
-
-        uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
-        audio = {"uri": uri}
-
-        response = client.long_running_recognize(config=config, audio=audio)
-
-        assert response.result() is not None
-
-    def test_streaming_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1.SpeechClient()
-
-        config = speech_v1.RecognitionConfig(
-            encoding=speech_v1.RecognitionConfig.AudioEncoding.FLAC,
-            language_code="en-US",
-            sample_rate_hertz=16000,
-        )
-        streamingConfig = speech_v1.StreamingRecognitionConfig(config=config)
-
-        uri = "https://storage.googleapis.com/{}/speech/brooklyn.flac".format(BUCKET)
-        streaming_requests = [
-            speech_v1.StreamingRecognizeRequest(audio_content=requests.get(uri).content)
-        ]
-
-        responses = client.streaming_recognize(
-            config=streamingConfig, requests=streaming_requests
-        )
-
-        for response in responses:
-            for result in response.results:
-                assert result.alternatives[0].transcript is not None
diff --git a/tests/system/gapic/v1p1beta1/test_system_speech_v1p1beta1.py b/tests/system/gapic/v1p1beta1/test_system_speech_v1p1beta1.py
deleted file mode 100644
index 370768a9..00000000
--- a/tests/system/gapic/v1p1beta1/test_system_speech_v1p1beta1.py
+++ /dev/null
@@ -1,93 +0,0 @@
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-import io
-import requests
-
-from google.cloud import speech_v1p1beta1
-
-
-class TestSystemSpeech(object):
-    def test_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1p1beta1.SpeechClient()
-
-        config = {
-            "encoding": speech_v1p1beta1.RecognitionConfig.AudioEncoding.FLAC,
-            "language_code": "en-US",
-            "sample_rate_hertz": 16000,
-        }
-
-        uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
-        audio = {"uri": uri}
-
-        response = client.recognize(config=config, audio=audio)
-
-        assert response.results[0].alternatives[0].transcript is not None
-
-    def test_long_running_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1p1beta1.SpeechClient()
-
-        config = speech_v1p1beta1.types.RecognitionConfig(
-            encoding=speech_v1p1beta1.RecognitionConfig.AudioEncoding.FLAC,
-            language_code="en-US",
-            sample_rate_hertz=16000,
-        )
-
-        uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
-        audio = {"uri": uri}
-
-        response = client.long_running_recognize(config=config, audio=audio)
-
-        assert response.result() is not None
-
-    def test_streaming_recognize(self):
-        try:
-            BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
-        except KeyError:
-            BUCKET = "cloud-samples-tests"
-
-        client = speech_v1p1beta1.SpeechClient()
-
-        config = speech_v1p1beta1.RecognitionConfig(
-            encoding=speech_v1p1beta1.RecognitionConfig.AudioEncoding.FLAC,
-            language_code="en-US",
-            sample_rate_hertz=16000,
-        )
-        streamingConfig = speech_v1p1beta1.StreamingRecognitionConfig(config=config)
-
-        uri = "https://storage.googleapis.com/{}/speech/brooklyn.flac".format(BUCKET)
-        streaming_requests = [
-            speech_v1p1beta1.StreamingRecognizeRequest(
-                audio_content=requests.get(uri).content
-            )
-        ]
-
-        responses = client.streaming_recognize(
-            config=streamingConfig, requests=streaming_requests
-        )
-
-        for response in responses:
-            for result in response.results:
-                assert result.alternatives[0].transcript is not None
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/unit/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/unit/gapic/__init__.py b/tests/unit/gapic/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/unit/gapic/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/unit/gapic/speech_v1/__init__.py b/tests/unit/gapic/speech_v1/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/unit/gapic/speech_v1/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/unit/gapic/speech_v1/test_adaptation.py b/tests/unit/gapic/speech_v1/test_adaptation.py
deleted file mode 100644
index ce9fb5e2..00000000
--- a/tests/unit/gapic/speech_v1/test_adaptation.py
+++ /dev/null
@@ -1,7809 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-from collections.abc import Iterable
-from google.protobuf import json_format
-import json
-import math
-import pytest
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-from requests import Response
-from requests import Request, PreparedRequest
-from requests.sessions import Session
-from google.protobuf import json_format
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import path_template
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.speech_v1.services.adaptation import AdaptationAsyncClient
-from google.cloud.speech_v1.services.adaptation import AdaptationClient
-from google.cloud.speech_v1.services.adaptation import pagers
-from google.cloud.speech_v1.services.adaptation import transports
-from google.cloud.speech_v1.types import cloud_speech_adaptation
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import field_mask_pb2  # type: ignore
-import google.auth
-
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return (
-        "foo.googleapis.com"
-        if ("localhost" in client.DEFAULT_ENDPOINT)
-        else client.DEFAULT_ENDPOINT
-    )
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert AdaptationClient._get_default_mtls_endpoint(None) is None
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(api_mtls_endpoint)
-        == api_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(sandbox_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert AdaptationClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (AdaptationClient, "grpc"),
-        (AdaptationAsyncClient, "grpc_asyncio"),
-        (AdaptationClient, "rest"),
-    ],
-)
-def test_adaptation_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_info"
-    ) as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class,transport_name",
-    [
-        (transports.AdaptationGrpcTransport, "grpc"),
-        (transports.AdaptationGrpcAsyncIOTransport, "grpc_asyncio"),
-        (transports.AdaptationRestTransport, "rest"),
-    ],
-)
-def test_adaptation_client_service_account_always_use_jwt(
-    transport_class, transport_name
-):
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (AdaptationClient, "grpc"),
-        (AdaptationAsyncClient, "grpc_asyncio"),
-        (AdaptationClient, "rest"),
-    ],
-)
-def test_adaptation_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_file"
-    ) as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-def test_adaptation_client_get_transport_class():
-    transport = AdaptationClient.get_transport_class()
-    available_transports = [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationRestTransport,
-    ]
-    assert transport in available_transports
-
-    transport = AdaptationClient.get_transport_class("grpc")
-    assert transport == transports.AdaptationGrpcTransport
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest"),
-    ],
-)
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-def test_adaptation_client_client_options(
-    client_class, transport_class, transport_name
-):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(AdaptationClient, "get_transport_class") as gtc:
-        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(AdaptationClient, "get_transport_class") as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError):
-            client = client_class(transport=transport_name)
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
-    ):
-        with pytest.raises(ValueError):
-            client = client_class(transport=transport_name)
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(
-        api_audience="https://language.googleapis.com"
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com",
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,use_client_cert_env",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", "true"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "true",
-        ),
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", "false"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "false",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", "true"),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", "false"),
-    ],
-)
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_adaptation_client_mtls_env_auto(
-    client_class, transport_class, transport_name, use_client_cert_env
-):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        options = client_options.ClientOptions(
-            client_cert_source=client_cert_source_callback
-        )
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client.DEFAULT_ENDPOINT
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=True,
-            ):
-                with mock.patch(
-                    "google.auth.transport.mtls.default_client_cert_source",
-                    return_value=client_cert_source_callback,
-                ):
-                    if use_client_cert_env == "false":
-                        expected_host = client.DEFAULT_ENDPOINT
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=False,
-            ):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client.DEFAULT_ENDPOINT,
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [AdaptationClient, AdaptationAsyncClient])
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-def test_adaptation_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=False,
-        ):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=True,
-        ):
-            with mock.patch(
-                "google.auth.transport.mtls.default_client_cert_source",
-                return_value=mock_client_cert_source,
-            ):
-                (
-                    api_endpoint,
-                    cert_source,
-                ) = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest"),
-    ],
-)
-def test_adaptation_client_client_options_scopes(
-    client_class, transport_class, transport_name
-):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", grpc_helpers),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", None),
-    ],
-)
-def test_adaptation_client_client_options_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-def test_adaptation_client_client_options_from_dict():
-    with mock.patch(
-        "google.cloud.speech_v1.services.adaptation.transports.AdaptationGrpcTransport.__init__"
-    ) as grpc_transport:
-        grpc_transport.return_value = None
-        client = AdaptationClient(client_options={"api_endpoint": "squid.clam.whelk"})
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", grpc_helpers),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-    ],
-)
-def test_adaptation_client_create_channel_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=None,
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_create_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        client.create_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.CreatePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async_from_dict():
-    await test_create_phrase_set_async(request_type=dict)
-
-
-def test_create_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = resource.PhraseSet()
-        client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-def test_create_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_get_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        client.get_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.GetPhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async_from_dict():
-    await test_get_phrase_set_async(request_type=dict)
-
-
-def test_get_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = resource.PhraseSet()
-        client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListPhraseSetRequest,
-        dict,
-    ],
-)
-def test_list_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        client.list_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.ListPhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_from_dict():
-    await test_list_phrase_set_async(request_type=dict)
-
-
-def test_list_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListPhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-        client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListPhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse()
-        )
-        await client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_phrase_set(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_phrase_set(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_set_pager(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_phrase_set(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in results)
-
-
-def test_list_phrase_set_pages(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_phrase_set(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_pager():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_set), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_phrase_set(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_pages():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_set), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_phrase_set(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_update_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        client.update_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.UpdatePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async_from_dict():
-    await test_update_phrase_set_async(request_type=dict)
-
-
-def test_update_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = resource.PhraseSet()
-        client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_phrase_set(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_phrase_set(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        client.delete_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.DeletePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async_from_dict():
-    await test_delete_phrase_set_async(request_type=dict)
-
-
-def test_delete_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = None
-        client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_create_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        client.create_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async_from_dict():
-    await test_create_custom_class_async(request_type=dict)
-
-
-def test_create_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = resource.CustomClass()
-        client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_custom_class(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-def test_create_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_custom_class(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_get_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        client.get_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.GetCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async_from_dict():
-    await test_get_custom_class_async(request_type=dict)
-
-
-def test_get_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = resource.CustomClass()
-        client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        client.list_custom_classes()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_from_dict():
-    await test_list_custom_classes_async(request_type=dict)
-
-
-def test_list_custom_classes_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-        client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse()
-        )
-        await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_custom_classes_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_custom_classes_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_pager(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_custom_classes(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in results)
-
-
-def test_list_custom_classes_pages(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_custom_classes(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pager():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_custom_classes(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pages():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_custom_classes(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_update_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        client.update_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async_from_dict():
-    await test_update_custom_class_async(request_type=dict)
-
-
-def test_update_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = resource.CustomClass()
-        client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_custom_class(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_custom_class(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        client.delete_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async_from_dict():
-    await test_delete_custom_class_async(request_type=dict)
-
-
-def test_delete_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = None
-        client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_create_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.CreatePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request_init["phrase_set_id"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-    jsonified_request["phraseSetId"] = "phrase_set_id_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-    assert "phraseSetId" in jsonified_request
-    assert jsonified_request["phraseSetId"] == "phrase_set_id_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "parent",
-                "phraseSetId",
-                "phraseSet",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_create_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_create_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.CreatePhraseSetRequest.pb(
-            cloud_speech_adaptation.CreatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.CreatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.create_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.CreatePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_phrase_set(request)
-
-
-def test_create_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{parent=projects/*/locations/*}/phraseSets" % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-def test_create_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_get_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.GetPhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_get_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_get_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.GetPhraseSetRequest.pb(
-            cloud_speech_adaptation.GetPhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.GetPhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.get_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.GetPhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_phrase_set(request)
-
-
-def test_get_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{name=projects/*/locations/*/phraseSets/*}" % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_get_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListPhraseSetRequest,
-        dict,
-    ],
-)
-def test_list_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.ListPhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(
-                return_value
-            )
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_list_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_list_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.ListPhraseSetRequest.pb(
-            cloud_speech_adaptation.ListPhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = (
-            cloud_speech_adaptation.ListPhraseSetResponse.to_json(
-                cloud_speech_adaptation.ListPhraseSetResponse()
-            )
-        )
-
-        request = cloud_speech_adaptation.ListPhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        client.list_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.ListPhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_phrase_set(request)
-
-
-def test_list_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{parent=projects/*/locations/*}/phraseSets" % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_set_rest_pager(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech_adaptation.ListPhraseSetResponse.to_json(x) for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_phrase_set(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in results)
-
-        pages = list(client.list_phrase_set(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request_init["phrase_set"] = {
-        "name": "projects/sample1/locations/sample2/phraseSets/sample3",
-        "phrases": [{"value": "value_value", "boost": 0.551}],
-        "boost": 0.551,
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech_adaptation.UpdatePhraseSetRequest.meta.fields[
-        "phrase_set"
-    ]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["phrase_set"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["phrase_set"][field])):
-                    del request_init["phrase_set"][field][i][subfield]
-            else:
-                del request_init["phrase_set"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_update_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.UpdatePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(("update_mask",))
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(("updateMask",)) & set(("phraseSet",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_update_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_update_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.UpdatePhraseSetRequest.pb(
-            cloud_speech_adaptation.UpdatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.update_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.UpdatePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_phrase_set(request)
-
-
-def test_update_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "phrase_set": {
-                "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{phrase_set.name=projects/*/locations/*/phraseSets/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.DeletePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = None
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = ""
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_delete_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        pb_message = cloud_speech_adaptation.DeletePhraseSetRequest.pb(
-            cloud_speech_adaptation.DeletePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-
-        request = cloud_speech_adaptation.DeletePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-
-        client.delete_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-
-
-def test_delete_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.DeletePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_phrase_set(request)
-
-
-def test_delete_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{name=projects/*/locations/*/phraseSets/*}" % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_create_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request_init["custom_class_id"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-    jsonified_request["customClassId"] = "custom_class_id_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-    assert "customClassId" in jsonified_request
-    assert jsonified_request["customClassId"] == "custom_class_id_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "parent",
-                "customClassId",
-                "customClass",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_create_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_create_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.CreateCustomClassRequest.pb(
-            cloud_speech_adaptation.CreateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.CreateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.create_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_custom_class(request)
-
-
-def test_create_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-def test_create_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_get_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.GetCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_get_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_get_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.GetCustomClassRequest.pb(
-            cloud_speech_adaptation.GetCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.GetCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.get_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.GetCustomClassRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_custom_class(request)
-
-
-def test_get_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_get_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-            return_value
-        )
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_custom_classes(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_rest_required_fields(
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-                return_value
-            )
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_custom_classes(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_custom_classes_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_custom_classes._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_custom_classes_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_list_custom_classes"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_list_custom_classes"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.ListCustomClassesRequest.pb(
-            cloud_speech_adaptation.ListCustomClassesRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = (
-            cloud_speech_adaptation.ListCustomClassesResponse.to_json(
-                cloud_speech_adaptation.ListCustomClassesResponse()
-            )
-        )
-
-        request = cloud_speech_adaptation.ListCustomClassesRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        client.list_custom_classes(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_custom_classes_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_custom_classes(request)
-
-
-def test_list_custom_classes_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-            return_value
-        )
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_custom_classes(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_custom_classes_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_rest_pager(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech_adaptation.ListCustomClassesResponse.to_json(x)
-            for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_custom_classes(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in results)
-
-        pages = list(client.list_custom_classes(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request_init["custom_class"] = {
-        "name": "projects/sample1/locations/sample2/customClasses/sample3",
-        "custom_class_id": "custom_class_id_value",
-        "items": [{"value": "value_value"}],
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech_adaptation.UpdateCustomClassRequest.meta.fields[
-        "custom_class"
-    ]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["custom_class"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["custom_class"][field])):
-                    del request_init["custom_class"][field][i][subfield]
-            else:
-                del request_init["custom_class"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_update_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(("update_mask",))
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(("updateMask",)) & set(("customClass",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_update_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_update_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.UpdateCustomClassRequest.pb(
-            cloud_speech_adaptation.UpdateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.UpdateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.update_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_custom_class(request)
-
-
-def test_update_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "custom_class": {
-                "name": "projects/sample1/locations/sample2/customClasses/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{custom_class.name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = None
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = ""
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_delete_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        pb_message = cloud_speech_adaptation.DeleteCustomClassRequest.pb(
-            cloud_speech_adaptation.DeleteCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-
-        request = cloud_speech_adaptation.DeleteCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-
-        client.delete_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-
-
-def test_delete_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_custom_class(request)
-
-
-def test_delete_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = mock.Mock()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options=options, credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = AdaptationClient(transport=transport)
-    assert client.transport is transport
-
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.AdaptationGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-        transports.AdaptationRestTransport,
-    ],
-)
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, "default") as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "rest",
-    ],
-)
-def test_transport_kind(transport_name):
-    transport = AdaptationClient.get_transport_class(transport_name)(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert transport.kind == transport_name
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.AdaptationGrpcTransport,
-    )
-
-
-def test_adaptation_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.AdaptationTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json",
-        )
-
-
-def test_adaptation_base_transport():
-    # Instantiate the base transport.
-    with mock.patch(
-        "google.cloud.speech_v1.services.adaptation.transports.AdaptationTransport.__init__"
-    ) as Transport:
-        Transport.return_value = None
-        transport = transports.AdaptationTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        "create_phrase_set",
-        "get_phrase_set",
-        "list_phrase_set",
-        "update_phrase_set",
-        "delete_phrase_set",
-        "create_custom_class",
-        "get_custom_class",
-        "list_custom_classes",
-        "update_custom_class",
-        "delete_custom_class",
-        "get_operation",
-        "list_operations",
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        "kind",
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_adaptation_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch(
-        "google.cloud.speech_v1.services.adaptation.transports.AdaptationTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.AdaptationTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with(
-            "credentials.json",
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-def test_adaptation_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
-        "google.cloud.speech_v1.services.adaptation.transports.AdaptationTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.AdaptationTransport()
-        adc.assert_called_once()
-
-
-def test_adaptation_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        AdaptationClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-    ],
-)
-def test_adaptation_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-        transports.AdaptationRestTransport,
-    ],
-)
-def test_adaptation_transport_auth_gdch_credentials(transport_class):
-    host = "https://language.com"
-    api_audience_tests = [None, "https://language2.com"]
-    api_audience_expect = [host, "https://language2.com"]
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, "default", autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
-                return_value=gdch_mock
-            )
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(e)
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.AdaptationGrpcTransport, grpc_helpers),
-        (transports.AdaptationGrpcAsyncIOTransport, grpc_helpers_async),
-    ],
-)
-def test_adaptation_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=["1", "2"],
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_grpc_transport_client_cert_source_for_mtls(transport_class):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds,
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback,
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert, private_key=expected_key
-            )
-
-
-def test_adaptation_http_transport_client_cert_source_for_mtls():
-    cred = ga_credentials.AnonymousCredentials()
-    with mock.patch(
-        "google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"
-    ) as mock_configure_mtls_channel:
-        transports.AdaptationRestTransport(
-            credentials=cred, client_cert_source_for_mtls=client_cert_source_callback
-        )
-        mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback)
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_adaptation_host_no_port(transport_name):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:443"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_adaptation_host_with_port(transport_name):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com:8000"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:8000"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com:8000"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "rest",
-    ],
-)
-def test_adaptation_client_transport_session_collision(transport_name):
-    creds1 = ga_credentials.AnonymousCredentials()
-    creds2 = ga_credentials.AnonymousCredentials()
-    client1 = AdaptationClient(
-        credentials=creds1,
-        transport=transport_name,
-    )
-    client2 = AdaptationClient(
-        credentials=creds2,
-        transport=transport_name,
-    )
-    session1 = client1.transport.create_phrase_set._session
-    session2 = client2.transport.create_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.get_phrase_set._session
-    session2 = client2.transport.get_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.list_phrase_set._session
-    session2 = client2.transport.list_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.update_phrase_set._session
-    session2 = client2.transport.update_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.delete_phrase_set._session
-    session2 = client2.transport.delete_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.create_custom_class._session
-    session2 = client2.transport.create_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.get_custom_class._session
-    session2 = client2.transport.get_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.list_custom_classes._session
-    session2 = client2.transport.list_custom_classes._session
-    assert session1 != session2
-    session1 = client1.transport.update_custom_class._session
-    session2 = client2.transport.update_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.delete_custom_class._session
-    session2 = client2.transport.delete_custom_class._session
-    assert session1 != session2
-
-
-def test_adaptation_grpc_transport_channel():
-    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.AdaptationGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_adaptation_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.AdaptationGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_transport_channel_mtls_with_client_cert_source(transport_class):
-    with mock.patch(
-        "grpc.ssl_channel_credentials", autospec=True
-    ) as grpc_ssl_channel_cred:
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, "default") as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_transport_channel_mtls_with_adc(transport_class):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_custom_class_path():
-    project = "squid"
-    location = "clam"
-    custom_class = "whelk"
-    expected = (
-        "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-    )
-    actual = AdaptationClient.custom_class_path(project, location, custom_class)
-    assert expected == actual
-
-
-def test_parse_custom_class_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "custom_class": "nudibranch",
-    }
-    path = AdaptationClient.custom_class_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_custom_class_path(path)
-    assert expected == actual
-
-
-def test_phrase_set_path():
-    project = "cuttlefish"
-    location = "mussel"
-    phrase_set = "winkle"
-    expected = "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-        project=project,
-        location=location,
-        phrase_set=phrase_set,
-    )
-    actual = AdaptationClient.phrase_set_path(project, location, phrase_set)
-    assert expected == actual
-
-
-def test_parse_phrase_set_path():
-    expected = {
-        "project": "nautilus",
-        "location": "scallop",
-        "phrase_set": "abalone",
-    }
-    path = AdaptationClient.phrase_set_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_phrase_set_path(path)
-    assert expected == actual
-
-
-def test_common_billing_account_path():
-    billing_account = "squid"
-    expected = "billingAccounts/{billing_account}".format(
-        billing_account=billing_account,
-    )
-    actual = AdaptationClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "clam",
-    }
-    path = AdaptationClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-
-def test_common_folder_path():
-    folder = "whelk"
-    expected = "folders/{folder}".format(
-        folder=folder,
-    )
-    actual = AdaptationClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "octopus",
-    }
-    path = AdaptationClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_folder_path(path)
-    assert expected == actual
-
-
-def test_common_organization_path():
-    organization = "oyster"
-    expected = "organizations/{organization}".format(
-        organization=organization,
-    )
-    actual = AdaptationClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "nudibranch",
-    }
-    path = AdaptationClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_organization_path(path)
-    assert expected == actual
-
-
-def test_common_project_path():
-    project = "cuttlefish"
-    expected = "projects/{project}".format(
-        project=project,
-    )
-    actual = AdaptationClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "mussel",
-    }
-    path = AdaptationClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_project_path(path)
-    assert expected == actual
-
-
-def test_common_location_path():
-    project = "winkle"
-    location = "nautilus"
-    expected = "projects/{project}/locations/{location}".format(
-        project=project,
-        location=location,
-    )
-    actual = AdaptationClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-    }
-    path = AdaptationClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(
-        transports.AdaptationTransport, "_prep_wrapped_messages"
-    ) as prep:
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(
-        transports.AdaptationTransport, "_prep_wrapped_messages"
-    ) as prep:
-        transport_class = AdaptationClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-@pytest.mark.asyncio
-async def test_transport_close_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    with mock.patch.object(
-        type(getattr(client.transport, "grpc_channel")), "close"
-    ) as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_get_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.GetOperationRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({"name": "sample1"}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.GetOperationRequest,
-        dict,
-    ],
-)
-def test_get_operation_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "sample1"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_list_operations_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.ListOperationsRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_operations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.ListOperationsRequest,
-        dict,
-    ],
-)
-def test_list_operations_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.ListOperationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_operations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc"):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_get_operation_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_get_operation_from_dict():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc"):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_list_operations_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_operations_from_dict():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close():
-    transports = {
-        "rest": "_session",
-        "grpc": "_grpc_channel",
-    }
-
-    for transport, close_name in transports.items():
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        with mock.patch.object(
-            type(getattr(client.transport, close_name)), "close"
-        ) as close:
-            with client:
-                close.assert_not_called()
-            close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        "rest",
-        "grpc",
-    ]
-    for transport in transports:
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport),
-        (AdaptationAsyncClient, transports.AdaptationGrpcAsyncIOTransport),
-    ],
-)
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/tests/unit/gapic/speech_v1/test_speech.py b/tests/unit/gapic/speech_v1/test_speech.py
deleted file mode 100644
index 0dd09bcf..00000000
--- a/tests/unit/gapic/speech_v1/test_speech.py
+++ /dev/null
@@ -1,2947 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-from collections.abc import Iterable
-from google.protobuf import json_format
-import json
-import math
-import pytest
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-from requests import Response
-from requests import Request, PreparedRequest
-from requests.sessions import Session
-from google.protobuf import json_format
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.speech_v1.services.speech import SpeechAsyncClient
-from google.cloud.speech_v1.services.speech import SpeechClient
-from google.cloud.speech_v1.services.speech import transports
-from google.cloud.speech_v1.types import cloud_speech
-from google.cloud.speech_v1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import wrappers_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-import google.auth
-
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return (
-        "foo.googleapis.com"
-        if ("localhost" in client.DEFAULT_ENDPOINT)
-        else client.DEFAULT_ENDPOINT
-    )
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert SpeechClient._get_default_mtls_endpoint(None) is None
-    assert SpeechClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert (
-        SpeechClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert SpeechClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_info"
-    ) as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class,transport_name",
-    [
-        (transports.SpeechGrpcTransport, "grpc"),
-        (transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_file"
-    ) as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-def test_speech_client_get_transport_class():
-    transport = SpeechClient.get_transport_class()
-    available_transports = [
-        transports.SpeechGrpcTransport,
-        transports.SpeechRestTransport,
-    ]
-    assert transport in available_transports
-
-    transport = SpeechClient.get_transport_class("grpc")
-    assert transport == transports.SpeechGrpcTransport
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError):
-            client = client_class(transport=transport_name)
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
-    ):
-        with pytest.raises(ValueError):
-            client = client_class(transport=transport_name)
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(
-        api_audience="https://language.googleapis.com"
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com",
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,use_client_cert_env",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "true"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "true",
-        ),
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "false"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "false",
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "true"),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "false"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_speech_client_mtls_env_auto(
-    client_class, transport_class, transport_name, use_client_cert_env
-):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        options = client_options.ClientOptions(
-            client_cert_source=client_cert_source_callback
-        )
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client.DEFAULT_ENDPOINT
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=True,
-            ):
-                with mock.patch(
-                    "google.auth.transport.mtls.default_client_cert_source",
-                    return_value=client_cert_source_callback,
-                ):
-                    if use_client_cert_env == "false":
-                        expected_host = client.DEFAULT_ENDPOINT
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=False,
-            ):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client.DEFAULT_ENDPOINT,
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [SpeechClient, SpeechAsyncClient])
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=False,
-        ):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=True,
-        ):
-            with mock.patch(
-                "google.auth.transport.mtls.default_client_cert_source",
-                return_value=mock_client_cert_source,
-            ):
-                (
-                    api_endpoint,
-                    cert_source,
-                ) = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_client_options_scopes(
-    client_class, transport_class, transport_name
-):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", None),
-    ],
-)
-def test_speech_client_client_options_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-def test_speech_client_client_options_from_dict():
-    with mock.patch(
-        "google.cloud.speech_v1.services.speech.transports.SpeechGrpcTransport.__init__"
-    ) as grpc_transport:
-        grpc_transport.return_value = None
-        client = SpeechClient(client_options={"api_endpoint": "squid.clam.whelk"})
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-    ],
-)
-def test_speech_client_create_channel_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=None,
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse(
-            request_id=1077,
-        )
-        response = client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-def test_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        client.recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse(
-                request_id=1077,
-            )
-        )
-        response = await client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-@pytest.mark.asyncio
-async def test_recognize_async_from_dict():
-    await test_recognize_async(request_type=dict)
-
-
-def test_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-def test_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.LongRunningRecognizeRequest,
-        dict,
-    ],
-)
-def test_long_running_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.long_running_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_long_running_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        client.long_running_recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech.LongRunningRecognizeRequest,
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.long_running_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_async_from_dict():
-    await test_long_running_recognize_async(request_type=dict)
-
-
-def test_long_running_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.long_running_recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-def test_long_running_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.long_running_recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.StreamingRecognizeRequest,
-        dict,
-    ],
-)
-def test_streaming_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = iter([cloud_speech.StreamingRecognizeResponse()])
-        response = client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    for message in response:
-        assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.StreamingRecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = mock.Mock(aio.StreamStreamCall, autospec=True)
-        call.return_value.read = mock.AsyncMock(
-            side_effect=[cloud_speech.StreamingRecognizeResponse()]
-        )
-        response = await client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    message = await response.read()
-    assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async_from_dict():
-    await test_streaming_recognize_async(request_type=dict)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse(
-            request_id=1077,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-def test_recognize_rest_required_fields(request_type=cloud_speech.RecognizeRequest):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.RecognizeResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.RecognizeResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "config",
-                "audio",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.RecognizeRequest.pb(cloud_speech.RecognizeRequest())
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.RecognizeResponse.to_json(
-            cloud_speech.RecognizeResponse()
-        )
-
-        request = cloud_speech.RecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.RecognizeResponse()
-
-        client.recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.recognize(request)
-
-
-def test_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/speech:recognize" % client.transport._host, args[1]
-        )
-
-
-def test_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-def test_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.LongRunningRecognizeRequest,
-        dict,
-    ],
-)
-def test_long_running_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.long_running_recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_long_running_recognize_rest_required_fields(
-    request_type=cloud_speech.LongRunningRecognizeRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).long_running_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).long_running_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.long_running_recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_long_running_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.long_running_recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "config",
-                "audio",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_long_running_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_long_running_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_long_running_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.LongRunningRecognizeRequest.pb(
-            cloud_speech.LongRunningRecognizeRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.LongRunningRecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.long_running_recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_long_running_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.LongRunningRecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.long_running_recognize(request)
-
-
-def test_long_running_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.long_running_recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1/speech:longrunningrecognize" % client.transport._host, args[1]
-        )
-
-
-def test_long_running_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-def test_long_running_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_streaming_recognize_rest_no_http_options():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = cloud_speech.StreamingRecognizeRequest()
-    requests = [request]
-    with pytest.raises(RuntimeError):
-        client.streaming_recognize(requests)
-
-
-def test_streaming_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-    # Since a `google.api.http` annotation is required for using a rest transport
-    # method, this should error.
-    with pytest.raises(NotImplementedError) as not_implemented_error:
-        client.streaming_recognize({})
-    assert "Method StreamingRecognize is not available over REST transport" in str(
-        not_implemented_error.value
-    )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = mock.Mock()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options, credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = SpeechClient(transport=transport)
-    assert client.transport is transport
-
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, "default") as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "rest",
-    ],
-)
-def test_transport_kind(transport_name):
-    transport = SpeechClient.get_transport_class(transport_name)(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert transport.kind == transport_name
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.SpeechGrpcTransport,
-    )
-
-
-def test_speech_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json",
-        )
-
-
-def test_speech_base_transport():
-    # Instantiate the base transport.
-    with mock.patch(
-        "google.cloud.speech_v1.services.speech.transports.SpeechTransport.__init__"
-    ) as Transport:
-        Transport.return_value = None
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        "recognize",
-        "long_running_recognize",
-        "streaming_recognize",
-        "get_operation",
-        "list_operations",
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        "kind",
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_speech_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch(
-        "google.cloud.speech_v1.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with(
-            "credentials.json",
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-def test_speech_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
-        "google.cloud.speech_v1.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport()
-        adc.assert_called_once()
-
-
-def test_speech_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        SpeechClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-    ],
-)
-def test_speech_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_speech_transport_auth_gdch_credentials(transport_class):
-    host = "https://language.com"
-    api_audience_tests = [None, "https://language2.com"]
-    api_audience_expect = [host, "https://language2.com"]
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, "default", autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
-                return_value=gdch_mock
-            )
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(e)
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.SpeechGrpcTransport, grpc_helpers),
-        (transports.SpeechGrpcAsyncIOTransport, grpc_helpers_async),
-    ],
-)
-def test_speech_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=["1", "2"],
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_grpc_transport_client_cert_source_for_mtls(transport_class):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds,
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback,
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert, private_key=expected_key
-            )
-
-
-def test_speech_http_transport_client_cert_source_for_mtls():
-    cred = ga_credentials.AnonymousCredentials()
-    with mock.patch(
-        "google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"
-    ) as mock_configure_mtls_channel:
-        transports.SpeechRestTransport(
-            credentials=cred, client_cert_source_for_mtls=client_cert_source_callback
-        )
-        mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback)
-
-
-def test_speech_rest_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.AbstractOperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_no_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:443"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_with_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com:8000"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:8000"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com:8000"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "rest",
-    ],
-)
-def test_speech_client_transport_session_collision(transport_name):
-    creds1 = ga_credentials.AnonymousCredentials()
-    creds2 = ga_credentials.AnonymousCredentials()
-    client1 = SpeechClient(
-        credentials=creds1,
-        transport=transport_name,
-    )
-    client2 = SpeechClient(
-        credentials=creds2,
-        transport=transport_name,
-    )
-    session1 = client1.transport.recognize._session
-    session2 = client2.transport.recognize._session
-    assert session1 != session2
-    session1 = client1.transport.long_running_recognize._session
-    session2 = client2.transport.long_running_recognize._session
-    assert session1 != session2
-    session1 = client1.transport.streaming_recognize._session
-    session2 = client2.transport.streaming_recognize._session
-    assert session1 != session2
-
-
-def test_speech_grpc_transport_channel():
-    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_speech_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_client_cert_source(transport_class):
-    with mock.patch(
-        "grpc.ssl_channel_credentials", autospec=True
-    ) as grpc_ssl_channel_cred:
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, "default") as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_adc(transport_class):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_speech_grpc_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_speech_grpc_lro_async_client():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_custom_class_path():
-    project = "squid"
-    location = "clam"
-    custom_class = "whelk"
-    expected = (
-        "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-    )
-    actual = SpeechClient.custom_class_path(project, location, custom_class)
-    assert expected == actual
-
-
-def test_parse_custom_class_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "custom_class": "nudibranch",
-    }
-    path = SpeechClient.custom_class_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_custom_class_path(path)
-    assert expected == actual
-
-
-def test_phrase_set_path():
-    project = "cuttlefish"
-    location = "mussel"
-    phrase_set = "winkle"
-    expected = "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-        project=project,
-        location=location,
-        phrase_set=phrase_set,
-    )
-    actual = SpeechClient.phrase_set_path(project, location, phrase_set)
-    assert expected == actual
-
-
-def test_parse_phrase_set_path():
-    expected = {
-        "project": "nautilus",
-        "location": "scallop",
-        "phrase_set": "abalone",
-    }
-    path = SpeechClient.phrase_set_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_phrase_set_path(path)
-    assert expected == actual
-
-
-def test_common_billing_account_path():
-    billing_account = "squid"
-    expected = "billingAccounts/{billing_account}".format(
-        billing_account=billing_account,
-    )
-    actual = SpeechClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "clam",
-    }
-    path = SpeechClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-
-def test_common_folder_path():
-    folder = "whelk"
-    expected = "folders/{folder}".format(
-        folder=folder,
-    )
-    actual = SpeechClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "octopus",
-    }
-    path = SpeechClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_folder_path(path)
-    assert expected == actual
-
-
-def test_common_organization_path():
-    organization = "oyster"
-    expected = "organizations/{organization}".format(
-        organization=organization,
-    )
-    actual = SpeechClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "nudibranch",
-    }
-    path = SpeechClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_organization_path(path)
-    assert expected == actual
-
-
-def test_common_project_path():
-    project = "cuttlefish"
-    expected = "projects/{project}".format(
-        project=project,
-    )
-    actual = SpeechClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "mussel",
-    }
-    path = SpeechClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_project_path(path)
-    assert expected == actual
-
-
-def test_common_location_path():
-    project = "winkle"
-    location = "nautilus"
-    expected = "projects/{project}/locations/{location}".format(
-        project=project,
-        location=location,
-    )
-    actual = SpeechClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-    }
-    path = SpeechClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        transport_class = SpeechClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-@pytest.mark.asyncio
-async def test_transport_close_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    with mock.patch.object(
-        type(getattr(client.transport, "grpc_channel")), "close"
-    ) as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_get_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.GetOperationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({"name": "sample1"}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.GetOperationRequest,
-        dict,
-    ],
-)
-def test_get_operation_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "sample1"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_list_operations_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.ListOperationsRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_operations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.ListOperationsRequest,
-        dict,
-    ],
-)
-def test_list_operations_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.ListOperationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_operations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_get_operation_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_get_operation_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_list_operations_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_operations_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close():
-    transports = {
-        "rest": "_session",
-        "grpc": "_grpc_channel",
-    }
-
-    for transport, close_name in transports.items():
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        with mock.patch.object(
-            type(getattr(client.transport, close_name)), "close"
-        ) as close:
-            with client:
-                close.assert_not_called()
-            close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        "rest",
-        "grpc",
-    ]
-    for transport in transports:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport),
-    ],
-)
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/tests/unit/gapic/speech_v1p1beta1/__init__.py b/tests/unit/gapic/speech_v1p1beta1/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/unit/gapic/speech_v1p1beta1/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/unit/gapic/speech_v1p1beta1/test_adaptation.py b/tests/unit/gapic/speech_v1p1beta1/test_adaptation.py
deleted file mode 100644
index 2b317ef5..00000000
--- a/tests/unit/gapic/speech_v1p1beta1/test_adaptation.py
+++ /dev/null
@@ -1,7813 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-from collections.abc import Iterable
-from google.protobuf import json_format
-import json
-import math
-import pytest
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-from requests import Response
-from requests import Request, PreparedRequest
-from requests.sessions import Session
-from google.protobuf import json_format
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import path_template
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.speech_v1p1beta1.services.adaptation import AdaptationAsyncClient
-from google.cloud.speech_v1p1beta1.services.adaptation import AdaptationClient
-from google.cloud.speech_v1p1beta1.services.adaptation import pagers
-from google.cloud.speech_v1p1beta1.services.adaptation import transports
-from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import field_mask_pb2  # type: ignore
-import google.auth
-
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return (
-        "foo.googleapis.com"
-        if ("localhost" in client.DEFAULT_ENDPOINT)
-        else client.DEFAULT_ENDPOINT
-    )
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert AdaptationClient._get_default_mtls_endpoint(None) is None
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(api_mtls_endpoint)
-        == api_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(sandbox_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert (
-        AdaptationClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert AdaptationClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (AdaptationClient, "grpc"),
-        (AdaptationAsyncClient, "grpc_asyncio"),
-        (AdaptationClient, "rest"),
-    ],
-)
-def test_adaptation_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_info"
-    ) as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class,transport_name",
-    [
-        (transports.AdaptationGrpcTransport, "grpc"),
-        (transports.AdaptationGrpcAsyncIOTransport, "grpc_asyncio"),
-        (transports.AdaptationRestTransport, "rest"),
-    ],
-)
-def test_adaptation_client_service_account_always_use_jwt(
-    transport_class, transport_name
-):
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (AdaptationClient, "grpc"),
-        (AdaptationAsyncClient, "grpc_asyncio"),
-        (AdaptationClient, "rest"),
-    ],
-)
-def test_adaptation_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_file"
-    ) as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-def test_adaptation_client_get_transport_class():
-    transport = AdaptationClient.get_transport_class()
-    available_transports = [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationRestTransport,
-    ]
-    assert transport in available_transports
-
-    transport = AdaptationClient.get_transport_class("grpc")
-    assert transport == transports.AdaptationGrpcTransport
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest"),
-    ],
-)
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-def test_adaptation_client_client_options(
-    client_class, transport_class, transport_name
-):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(AdaptationClient, "get_transport_class") as gtc:
-        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(AdaptationClient, "get_transport_class") as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError):
-            client = client_class(transport=transport_name)
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
-    ):
-        with pytest.raises(ValueError):
-            client = client_class(transport=transport_name)
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(
-        api_audience="https://language.googleapis.com"
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com",
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,use_client_cert_env",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", "true"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "true",
-        ),
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", "false"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "false",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", "true"),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", "false"),
-    ],
-)
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_adaptation_client_mtls_env_auto(
-    client_class, transport_class, transport_name, use_client_cert_env
-):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        options = client_options.ClientOptions(
-            client_cert_source=client_cert_source_callback
-        )
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client.DEFAULT_ENDPOINT
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=True,
-            ):
-                with mock.patch(
-                    "google.auth.transport.mtls.default_client_cert_source",
-                    return_value=client_cert_source_callback,
-                ):
-                    if use_client_cert_env == "false":
-                        expected_host = client.DEFAULT_ENDPOINT
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=False,
-            ):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client.DEFAULT_ENDPOINT,
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [AdaptationClient, AdaptationAsyncClient])
-@mock.patch.object(
-    AdaptationClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdaptationClient)
-)
-@mock.patch.object(
-    AdaptationAsyncClient,
-    "DEFAULT_ENDPOINT",
-    modify_default_endpoint(AdaptationAsyncClient),
-)
-def test_adaptation_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=False,
-        ):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=True,
-        ):
-            with mock.patch(
-                "google.auth.transport.mtls.default_client_cert_source",
-                return_value=mock_client_cert_source,
-            ):
-                (
-                    api_endpoint,
-                    cert_source,
-                ) = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc"),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest"),
-    ],
-)
-def test_adaptation_client_client_options_scopes(
-    client_class, transport_class, transport_name
-):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", grpc_helpers),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-        (AdaptationClient, transports.AdaptationRestTransport, "rest", None),
-    ],
-)
-def test_adaptation_client_client_options_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-def test_adaptation_client_client_options_from_dict():
-    with mock.patch(
-        "google.cloud.speech_v1p1beta1.services.adaptation.transports.AdaptationGrpcTransport.__init__"
-    ) as grpc_transport:
-        grpc_transport.return_value = None
-        client = AdaptationClient(client_options={"api_endpoint": "squid.clam.whelk"})
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport, "grpc", grpc_helpers),
-        (
-            AdaptationAsyncClient,
-            transports.AdaptationGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-    ],
-)
-def test_adaptation_client_create_channel_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=None,
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_create_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        client.create_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.CreatePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async_from_dict():
-    await test_create_phrase_set_async(request_type=dict)
-
-
-def test_create_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = resource.PhraseSet()
-        client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-def test_create_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_get_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        client.get_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.GetPhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async_from_dict():
-    await test_get_phrase_set_async(request_type=dict)
-
-
-def test_get_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = resource.PhraseSet()
-        client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListPhraseSetRequest,
-        dict,
-    ],
-)
-def test_list_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        client.list_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.ListPhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_from_dict():
-    await test_list_phrase_set_async(request_type=dict)
-
-
-def test_list_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListPhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-        client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListPhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse()
-        )
-        await client.list_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_phrase_set(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListPhraseSetResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_phrase_set(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_set_pager(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_phrase_set(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in results)
-
-
-def test_list_phrase_set_pages(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_set), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_phrase_set(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_pager():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_set), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_phrase_set(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_set_async_pages():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_set), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_phrase_set(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-        response = client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_update_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        client.update_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.UpdatePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.PhraseSet(
-                name="name_value",
-                boost=0.551,
-            )
-        )
-        response = await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async_from_dict():
-    await test_update_phrase_set_async(request_type=dict)
-
-
-def test_update_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = resource.PhraseSet()
-        client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_phrase_set(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resource.PhraseSet())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_phrase_set(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = resource.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        client.delete_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.DeletePhraseSetRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async_from_dict():
-    await test_delete_phrase_set_async(request_type=dict)
-
-
-def test_delete_phrase_set_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = None
-        client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_phrase_set_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_phrase_set_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_create_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        client.create_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async_from_dict():
-    await test_create_custom_class_async(request_type=dict)
-
-
-def test_create_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = resource.CustomClass()
-        client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_custom_class(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-def test_create_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_custom_class(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_get_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        client.get_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.GetCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async_from_dict():
-    await test_get_custom_class_async(request_type=dict)
-
-
-def test_get_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = resource.CustomClass()
-        client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        client.list_custom_classes()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_from_dict():
-    await test_list_custom_classes_async(request_type=dict)
-
-
-def test_list_custom_classes_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-        client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse()
-        )
-        await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_custom_classes_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_custom_classes_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech_adaptation.ListCustomClassesResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_pager(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_custom_classes(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in results)
-
-
-def test_list_custom_classes_pages(transport_name: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_custom_classes(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pager():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_custom_classes(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pages():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_custom_classes(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-        response = client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_update_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        client.update_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass(
-                name="name_value",
-                custom_class_id="custom_class_id_value",
-            )
-        )
-        response = await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async_from_dict():
-    await test_update_custom_class_async(request_type=dict)
-
-
-def test_update_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = resource.CustomClass()
-        client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_custom_class(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = resource.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            resource.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_custom_class(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = resource.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class(request_type, transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        client.delete_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async_from_dict():
-    await test_delete_custom_class_async(request_type=dict)
-
-
-def test_delete_custom_class_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = None
-        client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech_adaptation.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_custom_class_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_custom_class_flattened_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_error_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_create_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.CreatePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request_init["phrase_set_id"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-    jsonified_request["phraseSetId"] = "phrase_set_id_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-    assert "phraseSetId" in jsonified_request
-    assert jsonified_request["phraseSetId"] == "phrase_set_id_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "parent",
-                "phraseSetId",
-                "phraseSet",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_create_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_create_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.CreatePhraseSetRequest.pb(
-            cloud_speech_adaptation.CreatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.CreatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.create_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.CreatePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_phrase_set(request)
-
-
-def test_create_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{parent=projects/*/locations/*}/phraseSets"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech_adaptation.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=resource.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-def test_create_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_get_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.GetPhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_get_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_get_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.GetPhraseSetRequest.pb(
-            cloud_speech_adaptation.GetPhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.GetPhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.get_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.GetPhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_phrase_set(request)
-
-
-def test_get_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{name=projects/*/locations/*/phraseSets/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech_adaptation.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_get_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListPhraseSetRequest,
-        dict,
-    ],
-)
-def test_list_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.ListPhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(
-                return_value
-            )
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_list_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_list_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.ListPhraseSetRequest.pb(
-            cloud_speech_adaptation.ListPhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = (
-            cloud_speech_adaptation.ListPhraseSetResponse.to_json(
-                cloud_speech_adaptation.ListPhraseSetResponse()
-            )
-        )
-
-        request = cloud_speech_adaptation.ListPhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        client.list_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.ListPhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_phrase_set(request)
-
-
-def test_list_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListPhraseSetResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{parent=projects/*/locations/*}/phraseSets"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_set(
-            cloud_speech_adaptation.ListPhraseSetRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_set_rest_pager(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListPhraseSetResponse(
-                phrase_sets=[
-                    resource.PhraseSet(),
-                    resource.PhraseSet(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech_adaptation.ListPhraseSetResponse.to_json(x) for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_phrase_set(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.PhraseSet) for i in results)
-
-        pages = list(client.list_phrase_set(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request_init["phrase_set"] = {
-        "name": "projects/sample1/locations/sample2/phraseSets/sample3",
-        "phrases": [{"value": "value_value", "boost": 0.551}],
-        "boost": 0.551,
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech_adaptation.UpdatePhraseSetRequest.meta.fields[
-        "phrase_set"
-    ]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["phrase_set"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["phrase_set"][field])):
-                    del request_init["phrase_set"][field][i][subfield]
-            else:
-                del request_init["phrase_set"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet(
-            name="name_value",
-            boost=0.551,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.PhraseSet)
-    assert response.name == "name_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-
-
-def test_update_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.UpdatePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(("update_mask",))
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(("updateMask",)) & set(("phraseSet",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_update_phrase_set"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_update_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.UpdatePhraseSetRequest.pb(
-            cloud_speech_adaptation.UpdatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.PhraseSet.to_json(resource.PhraseSet())
-
-        request = cloud_speech_adaptation.UpdatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.PhraseSet()
-
-        client.update_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.UpdatePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_phrase_set(request)
-
-
-def test_update_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "phrase_set": {
-                "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{phrase_set.name=projects/*/locations/*/phraseSets/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech_adaptation.UpdatePhraseSetRequest(),
-            phrase_set=resource.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_phrase_set_rest_required_fields(
-    request_type=cloud_speech_adaptation.DeletePhraseSetRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = None
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = ""
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_phrase_set_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_delete_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        pb_message = cloud_speech_adaptation.DeletePhraseSetRequest.pb(
-            cloud_speech_adaptation.DeletePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-
-        request = cloud_speech_adaptation.DeletePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-
-        client.delete_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-
-
-def test_delete_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.DeletePhraseSetRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_phrase_set(request)
-
-
-def test_delete_phrase_set_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{name=projects/*/locations/*/phraseSets/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech_adaptation.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_phrase_set_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_create_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request_init["custom_class_id"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-    jsonified_request["customClassId"] = "custom_class_id_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-    assert "customClassId" in jsonified_request
-    assert jsonified_request["customClassId"] == "custom_class_id_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "parent",
-                "customClassId",
-                "customClass",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_create_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_create_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.CreateCustomClassRequest.pb(
-            cloud_speech_adaptation.CreateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.CreateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.create_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.CreateCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_custom_class(request)
-
-
-def test_create_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech_adaptation.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=resource.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-def test_create_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_get_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.GetCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_get_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_get_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.GetCustomClassRequest.pb(
-            cloud_speech_adaptation.GetCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.GetCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.get_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech_adaptation.GetCustomClassRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_custom_class(request)
-
-
-def test_get_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech_adaptation.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_get_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-            return_value
-        )
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_custom_classes(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_rest_required_fields(
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-                return_value
-            )
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_custom_classes(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_custom_classes_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_custom_classes._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_custom_classes_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_list_custom_classes"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_list_custom_classes"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.ListCustomClassesRequest.pb(
-            cloud_speech_adaptation.ListCustomClassesRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = (
-            cloud_speech_adaptation.ListCustomClassesResponse.to_json(
-                cloud_speech_adaptation.ListCustomClassesResponse()
-            )
-        )
-
-        request = cloud_speech_adaptation.ListCustomClassesRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        client.list_custom_classes(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_custom_classes_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.ListCustomClassesRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_custom_classes(request)
-
-
-def test_list_custom_classes_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech_adaptation.ListCustomClassesResponse.pb(
-            return_value
-        )
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_custom_classes(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_custom_classes_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech_adaptation.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_rest_pager(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech_adaptation.ListCustomClassesResponse(
-                custom_classes=[
-                    resource.CustomClass(),
-                    resource.CustomClass(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech_adaptation.ListCustomClassesResponse.to_json(x)
-            for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_custom_classes(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, resource.CustomClass) for i in results)
-
-        pages = list(client.list_custom_classes(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request_init["custom_class"] = {
-        "name": "projects/sample1/locations/sample2/customClasses/sample3",
-        "custom_class_id": "custom_class_id_value",
-        "items": [{"value": "value_value"}],
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech_adaptation.UpdateCustomClassRequest.meta.fields[
-        "custom_class"
-    ]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["custom_class"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["custom_class"][field])):
-                    del request_init["custom_class"][field][i][subfield]
-            else:
-                del request_init["custom_class"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass(
-            name="name_value",
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, resource.CustomClass)
-    assert response.name == "name_value"
-    assert response.custom_class_id == "custom_class_id_value"
-
-
-def test_update_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(("update_mask",))
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = resource.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = resource.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(("updateMask",)) & set(("customClass",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "post_update_custom_class"
-    ) as post, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_update_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech_adaptation.UpdateCustomClassRequest.pb(
-            cloud_speech_adaptation.UpdateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = resource.CustomClass.to_json(resource.CustomClass())
-
-        request = cloud_speech_adaptation.UpdateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = resource.CustomClass()
-
-        client.update_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.UpdateCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_custom_class(request)
-
-
-def test_update_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = resource.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "custom_class": {
-                "name": "projects/sample1/locations/sample2/customClasses/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = resource.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{custom_class.name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech_adaptation.UpdateCustomClassRequest(),
-            custom_class=resource.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech_adaptation.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_custom_class_rest_required_fields(
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    transport_class = transports.AdaptationRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = None
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = ""
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_custom_class_rest_unset_required_fields():
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.AdaptationRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None
-        if null_interceptor
-        else transports.AdaptationRestInterceptor(),
-    )
-    client = AdaptationClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.AdaptationRestInterceptor, "pre_delete_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        pb_message = cloud_speech_adaptation.DeleteCustomClassRequest.pb(
-            cloud_speech_adaptation.DeleteCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-
-        request = cloud_speech_adaptation.DeleteCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-
-        client.delete_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-
-
-def test_delete_custom_class_rest_bad_request(
-    transport: str = "rest",
-    request_type=cloud_speech_adaptation.DeleteCustomClassRequest,
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_custom_class(request)
-
-
-def test_delete_custom_class_rest_flattened():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = ""
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech_adaptation.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_custom_class_rest_error():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = mock.Mock()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options=options, credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = AdaptationClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = AdaptationClient(transport=transport)
-    assert client.transport is transport
-
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.AdaptationGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.AdaptationGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-        transports.AdaptationRestTransport,
-    ],
-)
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, "default") as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "rest",
-    ],
-)
-def test_transport_kind(transport_name):
-    transport = AdaptationClient.get_transport_class(transport_name)(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert transport.kind == transport_name
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.AdaptationGrpcTransport,
-    )
-
-
-def test_adaptation_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.AdaptationTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json",
-        )
-
-
-def test_adaptation_base_transport():
-    # Instantiate the base transport.
-    with mock.patch(
-        "google.cloud.speech_v1p1beta1.services.adaptation.transports.AdaptationTransport.__init__"
-    ) as Transport:
-        Transport.return_value = None
-        transport = transports.AdaptationTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        "create_phrase_set",
-        "get_phrase_set",
-        "list_phrase_set",
-        "update_phrase_set",
-        "delete_phrase_set",
-        "create_custom_class",
-        "get_custom_class",
-        "list_custom_classes",
-        "update_custom_class",
-        "delete_custom_class",
-        "get_operation",
-        "list_operations",
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        "kind",
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_adaptation_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch(
-        "google.cloud.speech_v1p1beta1.services.adaptation.transports.AdaptationTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.AdaptationTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with(
-            "credentials.json",
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-def test_adaptation_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
-        "google.cloud.speech_v1p1beta1.services.adaptation.transports.AdaptationTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.AdaptationTransport()
-        adc.assert_called_once()
-
-
-def test_adaptation_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        AdaptationClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-    ],
-)
-def test_adaptation_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.AdaptationGrpcTransport,
-        transports.AdaptationGrpcAsyncIOTransport,
-        transports.AdaptationRestTransport,
-    ],
-)
-def test_adaptation_transport_auth_gdch_credentials(transport_class):
-    host = "https://language.com"
-    api_audience_tests = [None, "https://language2.com"]
-    api_audience_expect = [host, "https://language2.com"]
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, "default", autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
-                return_value=gdch_mock
-            )
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(e)
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.AdaptationGrpcTransport, grpc_helpers),
-        (transports.AdaptationGrpcAsyncIOTransport, grpc_helpers_async),
-    ],
-)
-def test_adaptation_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=["1", "2"],
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_grpc_transport_client_cert_source_for_mtls(transport_class):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds,
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback,
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert, private_key=expected_key
-            )
-
-
-def test_adaptation_http_transport_client_cert_source_for_mtls():
-    cred = ga_credentials.AnonymousCredentials()
-    with mock.patch(
-        "google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"
-    ) as mock_configure_mtls_channel:
-        transports.AdaptationRestTransport(
-            credentials=cred, client_cert_source_for_mtls=client_cert_source_callback
-        )
-        mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback)
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_adaptation_host_no_port(transport_name):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:443"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_adaptation_host_with_port(transport_name):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com:8000"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:8000"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com:8000"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "rest",
-    ],
-)
-def test_adaptation_client_transport_session_collision(transport_name):
-    creds1 = ga_credentials.AnonymousCredentials()
-    creds2 = ga_credentials.AnonymousCredentials()
-    client1 = AdaptationClient(
-        credentials=creds1,
-        transport=transport_name,
-    )
-    client2 = AdaptationClient(
-        credentials=creds2,
-        transport=transport_name,
-    )
-    session1 = client1.transport.create_phrase_set._session
-    session2 = client2.transport.create_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.get_phrase_set._session
-    session2 = client2.transport.get_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.list_phrase_set._session
-    session2 = client2.transport.list_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.update_phrase_set._session
-    session2 = client2.transport.update_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.delete_phrase_set._session
-    session2 = client2.transport.delete_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.create_custom_class._session
-    session2 = client2.transport.create_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.get_custom_class._session
-    session2 = client2.transport.get_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.list_custom_classes._session
-    session2 = client2.transport.list_custom_classes._session
-    assert session1 != session2
-    session1 = client1.transport.update_custom_class._session
-    session2 = client2.transport.update_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.delete_custom_class._session
-    session2 = client2.transport.delete_custom_class._session
-    assert session1 != session2
-
-
-def test_adaptation_grpc_transport_channel():
-    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.AdaptationGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_adaptation_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.AdaptationGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_transport_channel_mtls_with_client_cert_source(transport_class):
-    with mock.patch(
-        "grpc.ssl_channel_credentials", autospec=True
-    ) as grpc_ssl_channel_cred:
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, "default") as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.AdaptationGrpcTransport, transports.AdaptationGrpcAsyncIOTransport],
-)
-def test_adaptation_transport_channel_mtls_with_adc(transport_class):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_custom_class_path():
-    project = "squid"
-    location = "clam"
-    custom_class = "whelk"
-    expected = (
-        "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-    )
-    actual = AdaptationClient.custom_class_path(project, location, custom_class)
-    assert expected == actual
-
-
-def test_parse_custom_class_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "custom_class": "nudibranch",
-    }
-    path = AdaptationClient.custom_class_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_custom_class_path(path)
-    assert expected == actual
-
-
-def test_phrase_set_path():
-    project = "cuttlefish"
-    location = "mussel"
-    phrase_set = "winkle"
-    expected = "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-        project=project,
-        location=location,
-        phrase_set=phrase_set,
-    )
-    actual = AdaptationClient.phrase_set_path(project, location, phrase_set)
-    assert expected == actual
-
-
-def test_parse_phrase_set_path():
-    expected = {
-        "project": "nautilus",
-        "location": "scallop",
-        "phrase_set": "abalone",
-    }
-    path = AdaptationClient.phrase_set_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_phrase_set_path(path)
-    assert expected == actual
-
-
-def test_common_billing_account_path():
-    billing_account = "squid"
-    expected = "billingAccounts/{billing_account}".format(
-        billing_account=billing_account,
-    )
-    actual = AdaptationClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "clam",
-    }
-    path = AdaptationClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-
-def test_common_folder_path():
-    folder = "whelk"
-    expected = "folders/{folder}".format(
-        folder=folder,
-    )
-    actual = AdaptationClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "octopus",
-    }
-    path = AdaptationClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_folder_path(path)
-    assert expected == actual
-
-
-def test_common_organization_path():
-    organization = "oyster"
-    expected = "organizations/{organization}".format(
-        organization=organization,
-    )
-    actual = AdaptationClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "nudibranch",
-    }
-    path = AdaptationClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_organization_path(path)
-    assert expected == actual
-
-
-def test_common_project_path():
-    project = "cuttlefish"
-    expected = "projects/{project}".format(
-        project=project,
-    )
-    actual = AdaptationClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "mussel",
-    }
-    path = AdaptationClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_project_path(path)
-    assert expected == actual
-
-
-def test_common_location_path():
-    project = "winkle"
-    location = "nautilus"
-    expected = "projects/{project}/locations/{location}".format(
-        project=project,
-        location=location,
-    )
-    actual = AdaptationClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-    }
-    path = AdaptationClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = AdaptationClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(
-        transports.AdaptationTransport, "_prep_wrapped_messages"
-    ) as prep:
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(
-        transports.AdaptationTransport, "_prep_wrapped_messages"
-    ) as prep:
-        transport_class = AdaptationClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-@pytest.mark.asyncio
-async def test_transport_close_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    with mock.patch.object(
-        type(getattr(client.transport, "grpc_channel")), "close"
-    ) as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_get_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.GetOperationRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({"name": "sample1"}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.GetOperationRequest,
-        dict,
-    ],
-)
-def test_get_operation_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "sample1"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_list_operations_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.ListOperationsRequest
-):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_operations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.ListOperationsRequest,
-        dict,
-    ],
-)
-def test_list_operations_rest(request_type):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.ListOperationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_operations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc"):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_get_operation_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_get_operation_from_dict():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc"):
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_list_operations_field_headers():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_operations_from_dict():
-    client = AdaptationClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = AdaptationAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close():
-    transports = {
-        "rest": "_session",
-        "grpc": "_grpc_channel",
-    }
-
-    for transport, close_name in transports.items():
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        with mock.patch.object(
-            type(getattr(client.transport, close_name)), "close"
-        ) as close:
-            with client:
-                close.assert_not_called()
-            close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        "rest",
-        "grpc",
-    ]
-    for transport in transports:
-        client = AdaptationClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class",
-    [
-        (AdaptationClient, transports.AdaptationGrpcTransport),
-        (AdaptationAsyncClient, transports.AdaptationGrpcAsyncIOTransport),
-    ],
-)
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/tests/unit/gapic/speech_v1p1beta1/test_speech.py b/tests/unit/gapic/speech_v1p1beta1/test_speech.py
deleted file mode 100644
index 5ef6362e..00000000
--- a/tests/unit/gapic/speech_v1p1beta1/test_speech.py
+++ /dev/null
@@ -1,2947 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-from collections.abc import Iterable
-from google.protobuf import json_format
-import json
-import math
-import pytest
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-from requests import Response
-from requests import Request, PreparedRequest
-from requests.sessions import Session
-from google.protobuf import json_format
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.speech_v1p1beta1.services.speech import SpeechAsyncClient
-from google.cloud.speech_v1p1beta1.services.speech import SpeechClient
-from google.cloud.speech_v1p1beta1.services.speech import transports
-from google.cloud.speech_v1p1beta1.types import cloud_speech
-from google.cloud.speech_v1p1beta1.types import resource
-from google.longrunning import operations_pb2  # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import wrappers_pb2  # type: ignore
-from google.rpc import status_pb2  # type: ignore
-import google.auth
-
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return (
-        "foo.googleapis.com"
-        if ("localhost" in client.DEFAULT_ENDPOINT)
-        else client.DEFAULT_ENDPOINT
-    )
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert SpeechClient._get_default_mtls_endpoint(None) is None
-    assert SpeechClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert (
-        SpeechClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert SpeechClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_info"
-    ) as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class,transport_name",
-    [
-        (transports.SpeechGrpcTransport, "grpc"),
-        (transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_file"
-    ) as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-def test_speech_client_get_transport_class():
-    transport = SpeechClient.get_transport_class()
-    available_transports = [
-        transports.SpeechGrpcTransport,
-        transports.SpeechRestTransport,
-    ]
-    assert transport in available_transports
-
-    transport = SpeechClient.get_transport_class("grpc")
-    assert transport == transports.SpeechGrpcTransport
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError):
-            client = client_class(transport=transport_name)
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
-    ):
-        with pytest.raises(ValueError):
-            client = client_class(transport=transport_name)
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(
-        api_audience="https://language.googleapis.com"
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com",
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,use_client_cert_env",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "true"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "true",
-        ),
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "false"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "false",
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "true"),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "false"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_speech_client_mtls_env_auto(
-    client_class, transport_class, transport_name, use_client_cert_env
-):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        options = client_options.ClientOptions(
-            client_cert_source=client_cert_source_callback
-        )
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client.DEFAULT_ENDPOINT
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=True,
-            ):
-                with mock.patch(
-                    "google.auth.transport.mtls.default_client_cert_source",
-                    return_value=client_cert_source_callback,
-                ):
-                    if use_client_cert_env == "false":
-                        expected_host = client.DEFAULT_ENDPOINT
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=False,
-            ):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client.DEFAULT_ENDPOINT,
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [SpeechClient, SpeechAsyncClient])
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=False,
-        ):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=True,
-        ):
-            with mock.patch(
-                "google.auth.transport.mtls.default_client_cert_source",
-                return_value=mock_client_cert_source,
-            ):
-                (
-                    api_endpoint,
-                    cert_source,
-                ) = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_client_options_scopes(
-    client_class, transport_class, transport_name
-):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", None),
-    ],
-)
-def test_speech_client_client_options_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-def test_speech_client_client_options_from_dict():
-    with mock.patch(
-        "google.cloud.speech_v1p1beta1.services.speech.transports.SpeechGrpcTransport.__init__"
-    ) as grpc_transport:
-        grpc_transport.return_value = None
-        client = SpeechClient(client_options={"api_endpoint": "squid.clam.whelk"})
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-    ],
-)
-def test_speech_client_create_channel_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=None,
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse(
-            request_id=1077,
-        )
-        response = client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-def test_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        client.recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse(
-                request_id=1077,
-            )
-        )
-        response = await client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-@pytest.mark.asyncio
-async def test_recognize_async_from_dict():
-    await test_recognize_async(request_type=dict)
-
-
-def test_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-def test_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.LongRunningRecognizeRequest,
-        dict,
-    ],
-)
-def test_long_running_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.long_running_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_long_running_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        client.long_running_recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech.LongRunningRecognizeRequest,
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.long_running_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.LongRunningRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_async_from_dict():
-    await test_long_running_recognize_async(request_type=dict)
-
-
-def test_long_running_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.long_running_recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-def test_long_running_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.long_running_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.long_running_recognize(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(
-            encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-        )
-        assert arg == mock_val
-        arg = args[0].audio
-        mock_val = cloud_speech.RecognitionAudio(content=b"content_blob")
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_long_running_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.StreamingRecognizeRequest,
-        dict,
-    ],
-)
-def test_streaming_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = iter([cloud_speech.StreamingRecognizeResponse()])
-        response = client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    for message in response:
-        assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.StreamingRecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = mock.Mock(aio.StreamStreamCall, autospec=True)
-        call.return_value.read = mock.AsyncMock(
-            side_effect=[cloud_speech.StreamingRecognizeResponse()]
-        )
-        response = await client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    message = await response.read()
-    assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async_from_dict():
-    await test_streaming_recognize_async(request_type=dict)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse(
-            request_id=1077,
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-    assert response.request_id == 1077
-
-
-def test_recognize_rest_required_fields(request_type=cloud_speech.RecognizeRequest):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.RecognizeResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.RecognizeResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "config",
-                "audio",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.RecognizeRequest.pb(cloud_speech.RecognizeRequest())
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.RecognizeResponse.to_json(
-            cloud_speech.RecognizeResponse()
-        )
-
-        request = cloud_speech.RecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.RecognizeResponse()
-
-        client.recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.recognize(request)
-
-
-def test_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/speech:recognize" % client.transport._host, args[1]
-        )
-
-
-def test_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-def test_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.LongRunningRecognizeRequest,
-        dict,
-    ],
-)
-def test_long_running_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.long_running_recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_long_running_recognize_rest_required_fields(
-    request_type=cloud_speech.LongRunningRecognizeRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).long_running_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).long_running_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.long_running_recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_long_running_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.long_running_recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(())
-        & set(
-            (
-                "config",
-                "audio",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_long_running_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_long_running_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_long_running_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.LongRunningRecognizeRequest.pb(
-            cloud_speech.LongRunningRecognizeRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.LongRunningRecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.long_running_recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_long_running_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.LongRunningRecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.long_running_recognize(request)
-
-
-def test_long_running_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.long_running_recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v1p1beta1/speech:longrunningrecognize" % client.transport._host, args[1]
-        )
-
-
-def test_long_running_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.long_running_recognize(
-            cloud_speech.LongRunningRecognizeRequest(),
-            config=cloud_speech.RecognitionConfig(
-                encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
-            ),
-            audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
-        )
-
-
-def test_long_running_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_streaming_recognize_rest_no_http_options():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = cloud_speech.StreamingRecognizeRequest()
-    requests = [request]
-    with pytest.raises(RuntimeError):
-        client.streaming_recognize(requests)
-
-
-def test_streaming_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-    # Since a `google.api.http` annotation is required for using a rest transport
-    # method, this should error.
-    with pytest.raises(NotImplementedError) as not_implemented_error:
-        client.streaming_recognize({})
-    assert "Method StreamingRecognize is not available over REST transport" in str(
-        not_implemented_error.value
-    )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = mock.Mock()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options, credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = SpeechClient(transport=transport)
-    assert client.transport is transport
-
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, "default") as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "rest",
-    ],
-)
-def test_transport_kind(transport_name):
-    transport = SpeechClient.get_transport_class(transport_name)(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert transport.kind == transport_name
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.SpeechGrpcTransport,
-    )
-
-
-def test_speech_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json",
-        )
-
-
-def test_speech_base_transport():
-    # Instantiate the base transport.
-    with mock.patch(
-        "google.cloud.speech_v1p1beta1.services.speech.transports.SpeechTransport.__init__"
-    ) as Transport:
-        Transport.return_value = None
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        "recognize",
-        "long_running_recognize",
-        "streaming_recognize",
-        "get_operation",
-        "list_operations",
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        "kind",
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_speech_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch(
-        "google.cloud.speech_v1p1beta1.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with(
-            "credentials.json",
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-def test_speech_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
-        "google.cloud.speech_v1p1beta1.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport()
-        adc.assert_called_once()
-
-
-def test_speech_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        SpeechClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-    ],
-)
-def test_speech_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_speech_transport_auth_gdch_credentials(transport_class):
-    host = "https://language.com"
-    api_audience_tests = [None, "https://language2.com"]
-    api_audience_expect = [host, "https://language2.com"]
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, "default", autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
-                return_value=gdch_mock
-            )
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(e)
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.SpeechGrpcTransport, grpc_helpers),
-        (transports.SpeechGrpcAsyncIOTransport, grpc_helpers_async),
-    ],
-)
-def test_speech_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=["1", "2"],
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_grpc_transport_client_cert_source_for_mtls(transport_class):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds,
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback,
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert, private_key=expected_key
-            )
-
-
-def test_speech_http_transport_client_cert_source_for_mtls():
-    cred = ga_credentials.AnonymousCredentials()
-    with mock.patch(
-        "google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"
-    ) as mock_configure_mtls_channel:
-        transports.SpeechRestTransport(
-            credentials=cred, client_cert_source_for_mtls=client_cert_source_callback
-        )
-        mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback)
-
-
-def test_speech_rest_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.AbstractOperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_no_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:443"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_with_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com:8000"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:8000"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com:8000"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "rest",
-    ],
-)
-def test_speech_client_transport_session_collision(transport_name):
-    creds1 = ga_credentials.AnonymousCredentials()
-    creds2 = ga_credentials.AnonymousCredentials()
-    client1 = SpeechClient(
-        credentials=creds1,
-        transport=transport_name,
-    )
-    client2 = SpeechClient(
-        credentials=creds2,
-        transport=transport_name,
-    )
-    session1 = client1.transport.recognize._session
-    session2 = client2.transport.recognize._session
-    assert session1 != session2
-    session1 = client1.transport.long_running_recognize._session
-    session2 = client2.transport.long_running_recognize._session
-    assert session1 != session2
-    session1 = client1.transport.streaming_recognize._session
-    session2 = client2.transport.streaming_recognize._session
-    assert session1 != session2
-
-
-def test_speech_grpc_transport_channel():
-    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_speech_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_client_cert_source(transport_class):
-    with mock.patch(
-        "grpc.ssl_channel_credentials", autospec=True
-    ) as grpc_ssl_channel_cred:
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, "default") as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_adc(transport_class):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_speech_grpc_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_speech_grpc_lro_async_client():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_custom_class_path():
-    project = "squid"
-    location = "clam"
-    custom_class = "whelk"
-    expected = (
-        "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-    )
-    actual = SpeechClient.custom_class_path(project, location, custom_class)
-    assert expected == actual
-
-
-def test_parse_custom_class_path():
-    expected = {
-        "project": "octopus",
-        "location": "oyster",
-        "custom_class": "nudibranch",
-    }
-    path = SpeechClient.custom_class_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_custom_class_path(path)
-    assert expected == actual
-
-
-def test_phrase_set_path():
-    project = "cuttlefish"
-    location = "mussel"
-    phrase_set = "winkle"
-    expected = "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-        project=project,
-        location=location,
-        phrase_set=phrase_set,
-    )
-    actual = SpeechClient.phrase_set_path(project, location, phrase_set)
-    assert expected == actual
-
-
-def test_parse_phrase_set_path():
-    expected = {
-        "project": "nautilus",
-        "location": "scallop",
-        "phrase_set": "abalone",
-    }
-    path = SpeechClient.phrase_set_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_phrase_set_path(path)
-    assert expected == actual
-
-
-def test_common_billing_account_path():
-    billing_account = "squid"
-    expected = "billingAccounts/{billing_account}".format(
-        billing_account=billing_account,
-    )
-    actual = SpeechClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "clam",
-    }
-    path = SpeechClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-
-def test_common_folder_path():
-    folder = "whelk"
-    expected = "folders/{folder}".format(
-        folder=folder,
-    )
-    actual = SpeechClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "octopus",
-    }
-    path = SpeechClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_folder_path(path)
-    assert expected == actual
-
-
-def test_common_organization_path():
-    organization = "oyster"
-    expected = "organizations/{organization}".format(
-        organization=organization,
-    )
-    actual = SpeechClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "nudibranch",
-    }
-    path = SpeechClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_organization_path(path)
-    assert expected == actual
-
-
-def test_common_project_path():
-    project = "cuttlefish"
-    expected = "projects/{project}".format(
-        project=project,
-    )
-    actual = SpeechClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "mussel",
-    }
-    path = SpeechClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_project_path(path)
-    assert expected == actual
-
-
-def test_common_location_path():
-    project = "winkle"
-    location = "nautilus"
-    expected = "projects/{project}/locations/{location}".format(
-        project=project,
-        location=location,
-    )
-    actual = SpeechClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "scallop",
-        "location": "abalone",
-    }
-    path = SpeechClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        transport_class = SpeechClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-@pytest.mark.asyncio
-async def test_transport_close_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    with mock.patch.object(
-        type(getattr(client.transport, "grpc_channel")), "close"
-    ) as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_get_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.GetOperationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({"name": "sample1"}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.GetOperationRequest,
-        dict,
-    ],
-)
-def test_get_operation_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "sample1"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_list_operations_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.ListOperationsRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_operations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.ListOperationsRequest,
-        dict,
-    ],
-)
-def test_list_operations_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.ListOperationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_operations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_get_operation_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_get_operation_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_list_operations_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_operations_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close():
-    transports = {
-        "rest": "_session",
-        "grpc": "_grpc_channel",
-    }
-
-    for transport, close_name in transports.items():
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        with mock.patch.object(
-            type(getattr(client.transport, close_name)), "close"
-        ) as close:
-            with client:
-                close.assert_not_called()
-            close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        "rest",
-        "grpc",
-    ]
-    for transport in transports:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport),
-    ],
-)
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/tests/unit/gapic/speech_v2/__init__.py b/tests/unit/gapic/speech_v2/__init__.py
deleted file mode 100644
index 89a37dc9..00000000
--- a/tests/unit/gapic/speech_v2/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
diff --git a/tests/unit/gapic/speech_v2/test_speech.py b/tests/unit/gapic/speech_v2/test_speech.py
deleted file mode 100644
index 1892c846..00000000
--- a/tests/unit/gapic/speech_v2/test_speech.py
+++ /dev/null
@@ -1,16064 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright 2023 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-import os
-
-# try/except added for compatibility with python < 3.8
-try:
-    from unittest import mock
-    from unittest.mock import AsyncMock  # pragma: NO COVER
-except ImportError:  # pragma: NO COVER
-    import mock
-
-import grpc
-from grpc.experimental import aio
-from collections.abc import Iterable
-from google.protobuf import json_format
-import json
-import math
-import pytest
-from proto.marshal.rules.dates import DurationRule, TimestampRule
-from proto.marshal.rules import wrappers
-from requests import Response
-from requests import Request, PreparedRequest
-from requests.sessions import Session
-from google.protobuf import json_format
-
-from google.api_core import client_options
-from google.api_core import exceptions as core_exceptions
-from google.api_core import future
-from google.api_core import gapic_v1
-from google.api_core import grpc_helpers
-from google.api_core import grpc_helpers_async
-from google.api_core import operation
-from google.api_core import operation_async  # type: ignore
-from google.api_core import operations_v1
-from google.api_core import path_template
-from google.auth import credentials as ga_credentials
-from google.auth.exceptions import MutualTLSChannelError
-from google.cloud.location import locations_pb2
-from google.cloud.speech_v2.services.speech import SpeechAsyncClient
-from google.cloud.speech_v2.services.speech import SpeechClient
-from google.cloud.speech_v2.services.speech import pagers
-from google.cloud.speech_v2.services.speech import transports
-from google.cloud.speech_v2.types import cloud_speech
-from google.longrunning import operations_pb2  # type: ignore
-from google.oauth2 import service_account
-from google.protobuf import duration_pb2  # type: ignore
-from google.protobuf import field_mask_pb2  # type: ignore
-from google.protobuf import timestamp_pb2  # type: ignore
-import google.auth
-
-
-def client_cert_source_callback():
-    return b"cert bytes", b"key bytes"
-
-
-# If default endpoint is localhost, then default mtls endpoint will be the same.
-# This method modifies the default endpoint so the client can produce a different
-# mtls endpoint for endpoint testing purposes.
-def modify_default_endpoint(client):
-    return (
-        "foo.googleapis.com"
-        if ("localhost" in client.DEFAULT_ENDPOINT)
-        else client.DEFAULT_ENDPOINT
-    )
-
-
-def test__get_default_mtls_endpoint():
-    api_endpoint = "example.googleapis.com"
-    api_mtls_endpoint = "example.mtls.googleapis.com"
-    sandbox_endpoint = "example.sandbox.googleapis.com"
-    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
-    non_googleapi = "api.example.com"
-
-    assert SpeechClient._get_default_mtls_endpoint(None) is None
-    assert SpeechClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
-    assert (
-        SpeechClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert (
-        SpeechClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
-        == sandbox_mtls_endpoint
-    )
-    assert SpeechClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_info(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_info"
-    ) as factory:
-        factory.return_value = creds
-        info = {"valid": True}
-        client = client_class.from_service_account_info(info, transport=transport_name)
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class,transport_name",
-    [
-        (transports.SpeechGrpcTransport, "grpc"),
-        (transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_service_account_always_use_jwt(transport_class, transport_name):
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=True)
-        use_jwt.assert_called_once_with(True)
-
-    with mock.patch.object(
-        service_account.Credentials, "with_always_use_jwt_access", create=True
-    ) as use_jwt:
-        creds = service_account.Credentials(None, None, None)
-        transport = transport_class(credentials=creds, always_use_jwt_access=False)
-        use_jwt.assert_not_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_name",
-    [
-        (SpeechClient, "grpc"),
-        (SpeechAsyncClient, "grpc_asyncio"),
-        (SpeechClient, "rest"),
-    ],
-)
-def test_speech_client_from_service_account_file(client_class, transport_name):
-    creds = ga_credentials.AnonymousCredentials()
-    with mock.patch.object(
-        service_account.Credentials, "from_service_account_file"
-    ) as factory:
-        factory.return_value = creds
-        client = client_class.from_service_account_file(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        client = client_class.from_service_account_json(
-            "dummy/file/path.json", transport=transport_name
-        )
-        assert client.transport._credentials == creds
-        assert isinstance(client, client_class)
-
-        assert client.transport._host == (
-            "speech.googleapis.com:443"
-            if transport_name in ["grpc", "grpc_asyncio"]
-            else "https://speech.googleapis.com"
-        )
-
-
-def test_speech_client_get_transport_class():
-    transport = SpeechClient.get_transport_class()
-    available_transports = [
-        transports.SpeechGrpcTransport,
-        transports.SpeechRestTransport,
-    ]
-    assert transport in available_transports
-
-    transport = SpeechClient.get_transport_class("grpc")
-    assert transport == transports.SpeechGrpcTransport
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_client_options(client_class, transport_class, transport_name):
-    # Check that if channel is provided we won't create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
-        client = client_class(transport=transport)
-        gtc.assert_not_called()
-
-    # Check that if channel is provided via str we will create a new one.
-    with mock.patch.object(SpeechClient, "get_transport_class") as gtc:
-        client = client_class(transport=transport_name)
-        gtc.assert_called()
-
-    # Check the case api_endpoint is provided.
-    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(transport=transport_name, client_options=options)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
-    # "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(transport=transport_name)
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=client.DEFAULT_MTLS_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
-    # unsupported value.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
-        with pytest.raises(MutualTLSChannelError):
-            client = client_class(transport=transport_name)
-
-    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
-    ):
-        with pytest.raises(ValueError):
-            client = client_class(transport=transport_name)
-
-    # Check the case quota_project_id is provided
-    options = client_options.ClientOptions(quota_project_id="octopus")
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id="octopus",
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-    # Check the case api_endpoint is provided
-    options = client_options.ClientOptions(
-        api_audience="https://language.googleapis.com"
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience="https://language.googleapis.com",
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,use_client_cert_env",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "true"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "true",
-        ),
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", "false"),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            "false",
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "true"),
-        (SpeechClient, transports.SpeechRestTransport, "rest", "false"),
-    ],
-)
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
-def test_speech_client_mtls_env_auto(
-    client_class, transport_class, transport_name, use_client_cert_env
-):
-    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
-    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
-
-    # Check the case client_cert_source is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        options = client_options.ClientOptions(
-            client_cert_source=client_cert_source_callback
-        )
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options, transport=transport_name)
-
-            if use_client_cert_env == "false":
-                expected_client_cert_source = None
-                expected_host = client.DEFAULT_ENDPOINT
-            else:
-                expected_client_cert_source = client_cert_source_callback
-                expected_host = client.DEFAULT_MTLS_ENDPOINT
-
-            patched.assert_called_once_with(
-                credentials=None,
-                credentials_file=None,
-                host=expected_host,
-                scopes=None,
-                client_cert_source_for_mtls=expected_client_cert_source,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
-
-    # Check the case ADC client cert is provided. Whether client cert is used depends on
-    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=True,
-            ):
-                with mock.patch(
-                    "google.auth.transport.mtls.default_client_cert_source",
-                    return_value=client_cert_source_callback,
-                ):
-                    if use_client_cert_env == "false":
-                        expected_host = client.DEFAULT_ENDPOINT
-                        expected_client_cert_source = None
-                    else:
-                        expected_host = client.DEFAULT_MTLS_ENDPOINT
-                        expected_client_cert_source = client_cert_source_callback
-
-                    patched.return_value = None
-                    client = client_class(transport=transport_name)
-                    patched.assert_called_once_with(
-                        credentials=None,
-                        credentials_file=None,
-                        host=expected_host,
-                        scopes=None,
-                        client_cert_source_for_mtls=expected_client_cert_source,
-                        quota_project_id=None,
-                        client_info=transports.base.DEFAULT_CLIENT_INFO,
-                        always_use_jwt_access=True,
-                        api_audience=None,
-                    )
-
-    # Check the case client_cert_source and ADC client cert are not provided.
-    with mock.patch.dict(
-        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
-    ):
-        with mock.patch.object(transport_class, "__init__") as patched:
-            with mock.patch(
-                "google.auth.transport.mtls.has_default_client_cert_source",
-                return_value=False,
-            ):
-                patched.return_value = None
-                client = client_class(transport=transport_name)
-                patched.assert_called_once_with(
-                    credentials=None,
-                    credentials_file=None,
-                    host=client.DEFAULT_ENDPOINT,
-                    scopes=None,
-                    client_cert_source_for_mtls=None,
-                    quota_project_id=None,
-                    client_info=transports.base.DEFAULT_CLIENT_INFO,
-                    always_use_jwt_access=True,
-                    api_audience=None,
-                )
-
-
-@pytest.mark.parametrize("client_class", [SpeechClient, SpeechAsyncClient])
-@mock.patch.object(
-    SpeechClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechClient)
-)
-@mock.patch.object(
-    SpeechAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(SpeechAsyncClient)
-)
-def test_speech_client_get_mtls_endpoint_and_cert_source(client_class):
-    mock_client_cert_source = mock.Mock()
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source == mock_client_cert_source
-
-    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
-        mock_client_cert_source = mock.Mock()
-        mock_api_endpoint = "foo"
-        options = client_options.ClientOptions(
-            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
-        )
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
-            options
-        )
-        assert api_endpoint == mock_api_endpoint
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
-        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-        assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=False,
-        ):
-            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
-            assert api_endpoint == client_class.DEFAULT_ENDPOINT
-            assert cert_source is None
-
-    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
-    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
-        with mock.patch(
-            "google.auth.transport.mtls.has_default_client_cert_source",
-            return_value=True,
-        ):
-            with mock.patch(
-                "google.auth.transport.mtls.default_client_cert_source",
-                return_value=mock_client_cert_source,
-            ):
-                (
-                    api_endpoint,
-                    cert_source,
-                ) = client_class.get_mtls_endpoint_and_cert_source()
-                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
-                assert cert_source == mock_client_cert_source
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc"),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport, "grpc_asyncio"),
-        (SpeechClient, transports.SpeechRestTransport, "rest"),
-    ],
-)
-def test_speech_client_client_options_scopes(
-    client_class, transport_class, transport_name
-):
-    # Check the case scopes are provided.
-    options = client_options.ClientOptions(
-        scopes=["1", "2"],
-    )
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host=client.DEFAULT_ENDPOINT,
-            scopes=["1", "2"],
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-        (SpeechClient, transports.SpeechRestTransport, "rest", None),
-    ],
-)
-def test_speech_client_client_options_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-def test_speech_client_client_options_from_dict():
-    with mock.patch(
-        "google.cloud.speech_v2.services.speech.transports.SpeechGrpcTransport.__init__"
-    ) as grpc_transport:
-        grpc_transport.return_value = None
-        client = SpeechClient(client_options={"api_endpoint": "squid.clam.whelk"})
-        grpc_transport.assert_called_once_with(
-            credentials=None,
-            credentials_file=None,
-            host="squid.clam.whelk",
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class,transport_name,grpc_helpers",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport, "grpc", grpc_helpers),
-        (
-            SpeechAsyncClient,
-            transports.SpeechGrpcAsyncIOTransport,
-            "grpc_asyncio",
-            grpc_helpers_async,
-        ),
-    ],
-)
-def test_speech_client_create_channel_credentials_file(
-    client_class, transport_class, transport_name, grpc_helpers
-):
-    # Check the case credentials file is provided.
-    options = client_options.ClientOptions(credentials_file="credentials.json")
-
-    with mock.patch.object(transport_class, "__init__") as patched:
-        patched.return_value = None
-        client = client_class(client_options=options, transport=transport_name)
-        patched.assert_called_once_with(
-            credentials=None,
-            credentials_file="credentials.json",
-            host=client.DEFAULT_ENDPOINT,
-            scopes=None,
-            client_cert_source_for_mtls=None,
-            quota_project_id=None,
-            client_info=transports.base.DEFAULT_CLIENT_INFO,
-            always_use_jwt_access=True,
-            api_audience=None,
-        )
-
-    # test that the credentials from file are saved and used as the credentials.
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel"
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        file_creds = ga_credentials.AnonymousCredentials()
-        load_creds.return_value = (file_creds, None)
-        adc.return_value = (creds, None)
-        client = client_class(client_options=options, transport=transport_name)
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=file_creds,
-            credentials_file=None,
-            quota_project_id=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=None,
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreateRecognizerRequest,
-        dict,
-    ],
-)
-def test_create_recognizer(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.create_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_recognizer_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        client.create_recognizer()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateRecognizerRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_recognizer_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.CreateRecognizerRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.create_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_recognizer_async_from_dict():
-    await test_create_recognizer_async(request_type=dict)
-
-
-def test_create_recognizer_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreateRecognizerRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.create_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_recognizer_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreateRecognizerRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.create_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_recognizer_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_recognizer(
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].recognizer
-        mock_val = cloud_speech.Recognizer(name="name_value")
-        assert arg == mock_val
-        arg = args[0].recognizer_id
-        mock_val = "recognizer_id_value"
-        assert arg == mock_val
-
-
-def test_create_recognizer_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_recognizer(
-            cloud_speech.CreateRecognizerRequest(),
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_recognizer_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_recognizer(
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].recognizer
-        mock_val = cloud_speech.Recognizer(name="name_value")
-        assert arg == mock_val
-        arg = args[0].recognizer_id
-        mock_val = "recognizer_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_recognizer_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_recognizer(
-            cloud_speech.CreateRecognizerRequest(),
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListRecognizersRequest,
-        dict,
-    ],
-)
-def test_list_recognizers(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListRecognizersResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_recognizers(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListRecognizersRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListRecognizersPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_recognizers_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        client.list_recognizers()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListRecognizersRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.ListRecognizersRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListRecognizersResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_recognizers(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListRecognizersRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListRecognizersAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_async_from_dict():
-    await test_list_recognizers_async(request_type=dict)
-
-
-def test_list_recognizers_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListRecognizersRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        call.return_value = cloud_speech.ListRecognizersResponse()
-        client.list_recognizers(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListRecognizersRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListRecognizersResponse()
-        )
-        await client.list_recognizers(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_recognizers_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListRecognizersResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_recognizers(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_recognizers_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_recognizers(
-            cloud_speech.ListRecognizersRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListRecognizersResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListRecognizersResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_recognizers(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_recognizers(
-            cloud_speech.ListRecognizersRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_recognizers_pager(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_recognizers(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.Recognizer) for i in results)
-
-
-def test_list_recognizers_pages(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_recognizers), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_recognizers(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_async_pager():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_recognizers), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_recognizers(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, cloud_speech.Recognizer) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_recognizers_async_pages():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_recognizers), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_recognizers(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetRecognizerRequest,
-        dict,
-    ],
-)
-def test_get_recognizer(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Recognizer(
-            name="name_value",
-            uid="uid_value",
-            display_name="display_name_value",
-            model="model_value",
-            language_codes=["language_codes_value"],
-            state=cloud_speech.Recognizer.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-        response = client.get_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Recognizer)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.model == "model_value"
-    assert response.language_codes == ["language_codes_value"]
-    assert response.state == cloud_speech.Recognizer.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_recognizer_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        client.get_recognizer()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetRecognizerRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_recognizer_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.GetRecognizerRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.Recognizer(
-                name="name_value",
-                uid="uid_value",
-                display_name="display_name_value",
-                model="model_value",
-                language_codes=["language_codes_value"],
-                state=cloud_speech.Recognizer.State.ACTIVE,
-                etag="etag_value",
-                reconciling=True,
-                kms_key_name="kms_key_name_value",
-                kms_key_version_name="kms_key_version_name_value",
-            )
-        )
-        response = await client.get_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Recognizer)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.model == "model_value"
-    assert response.language_codes == ["language_codes_value"]
-    assert response.state == cloud_speech.Recognizer.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-@pytest.mark.asyncio
-async def test_get_recognizer_async_from_dict():
-    await test_get_recognizer_async(request_type=dict)
-
-
-def test_get_recognizer_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        call.return_value = cloud_speech.Recognizer()
-        client.get_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_recognizer_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.Recognizer()
-        )
-        await client.get_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_recognizer_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Recognizer()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_recognizer_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_recognizer(
-            cloud_speech.GetRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_recognizer_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_recognizer), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Recognizer()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.Recognizer()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_recognizer_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_recognizer(
-            cloud_speech.GetRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateRecognizerRequest,
-        dict,
-    ],
-)
-def test_update_recognizer(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.update_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_recognizer_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        client.update_recognizer()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateRecognizerRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_recognizer_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UpdateRecognizerRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.update_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_recognizer_async_from_dict():
-    await test_update_recognizer_async(request_type=dict)
-
-
-def test_update_recognizer_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateRecognizerRequest()
-
-    request.recognizer.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.update_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_recognizer_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateRecognizerRequest()
-
-    request.recognizer.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.update_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_recognizer_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_recognizer(
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = cloud_speech.Recognizer(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_recognizer_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_recognizer(
-            cloud_speech.UpdateRecognizerRequest(),
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_recognizer_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_recognizer(
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = cloud_speech.Recognizer(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_recognizer_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_recognizer(
-            cloud_speech.UpdateRecognizerRequest(),
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeleteRecognizerRequest,
-        dict,
-    ],
-)
-def test_delete_recognizer(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.delete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_recognizer_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        client.delete_recognizer()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteRecognizerRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_recognizer_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.DeleteRecognizerRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.delete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_recognizer_async_from_dict():
-    await test_delete_recognizer_async(request_type=dict)
-
-
-def test_delete_recognizer_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeleteRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.delete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_recognizer_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeleteRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.delete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_recognizer_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_recognizer_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_recognizer(
-            cloud_speech.DeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_recognizer_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_recognizer_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_recognizer(
-            cloud_speech.DeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeleteRecognizerRequest,
-        dict,
-    ],
-)
-def test_undelete_recognizer(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.undelete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_undelete_recognizer_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        client.undelete_recognizer()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteRecognizerRequest()
-
-
-@pytest.mark.asyncio
-async def test_undelete_recognizer_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UndeleteRecognizerRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.undelete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteRecognizerRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_undelete_recognizer_async_from_dict():
-    await test_undelete_recognizer_async(request_type=dict)
-
-
-def test_undelete_recognizer_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeleteRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.undelete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_undelete_recognizer_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeleteRecognizerRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.undelete_recognizer(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_undelete_recognizer_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.undelete_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_undelete_recognizer_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_recognizer(
-            cloud_speech.UndeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_undelete_recognizer_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_recognizer), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.undelete_recognizer(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_undelete_recognizer_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.undelete_recognizer(
-            cloud_speech.UndeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-        response = client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-
-
-def test_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        client.recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse()
-        )
-        response = await client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.RecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_recognize_async_from_dict():
-    await test_recognize_async(request_type=dict)
-
-
-def test_recognize_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.RecognizeRequest()
-
-    request.recognizer = "recognizer_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        call.return_value = cloud_speech.RecognizeResponse()
-        client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer=recognizer_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_recognize_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.RecognizeRequest()
-
-    request.recognizer = "recognizer_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse()
-        )
-        await client.recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer=recognizer_value",
-    ) in kw["metadata"]
-
-
-def test_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.recognize(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            content=b"content_blob",
-            uri="uri_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = "recognizer_value"
-        assert arg == mock_val
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(auto_decoding_config=None)
-        assert arg == mock_val
-        arg = args[0].config_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-        assert args[0].uri == "uri_value"
-
-
-def test_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            content=b"content_blob",
-            uri="uri_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.RecognizeResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.RecognizeResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.recognize(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            content=b"content_blob",
-            uri="uri_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = "recognizer_value"
-        assert arg == mock_val
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(auto_decoding_config=None)
-        assert arg == mock_val
-        arg = args[0].config_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-        assert args[0].uri == "uri_value"
-
-
-@pytest.mark.asyncio
-async def test_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.recognize(
-            cloud_speech.RecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            content=b"content_blob",
-            uri="uri_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.StreamingRecognizeRequest,
-        dict,
-    ],
-)
-def test_streaming_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = iter([cloud_speech.StreamingRecognizeResponse()])
-        response = client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    for message in response:
-        assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.StreamingRecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-    requests = [request]
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.streaming_recognize), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = mock.Mock(aio.StreamStreamCall, autospec=True)
-        call.return_value.read = mock.AsyncMock(
-            side_effect=[cloud_speech.StreamingRecognizeResponse()]
-        )
-        response = await client.streaming_recognize(iter(requests))
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert next(args[0]) == request
-
-    # Establish that the response is the type that we expect.
-    message = await response.read()
-    assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
-
-
-@pytest.mark.asyncio
-async def test_streaming_recognize_async_from_dict():
-    await test_streaming_recognize_async(request_type=dict)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.BatchRecognizeRequest,
-        dict,
-    ],
-)
-def test_batch_recognize(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.batch_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.BatchRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_batch_recognize_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        client.batch_recognize()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.BatchRecognizeRequest()
-
-
-@pytest.mark.asyncio
-async def test_batch_recognize_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.BatchRecognizeRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.batch_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.BatchRecognizeRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_batch_recognize_async_from_dict():
-    await test_batch_recognize_async(request_type=dict)
-
-
-def test_batch_recognize_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.BatchRecognizeRequest()
-
-    request.recognizer = "recognizer_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.batch_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer=recognizer_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_batch_recognize_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.BatchRecognizeRequest()
-
-    request.recognizer = "recognizer_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.batch_recognize(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "recognizer=recognizer_value",
-    ) in kw["metadata"]
-
-
-def test_batch_recognize_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.batch_recognize(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = "recognizer_value"
-        assert arg == mock_val
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(auto_decoding_config=None)
-        assert arg == mock_val
-        arg = args[0].config_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-        arg = args[0].files
-        mock_val = [cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")]
-        assert arg == mock_val
-
-
-def test_batch_recognize_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.batch_recognize(
-            cloud_speech.BatchRecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-
-
-@pytest.mark.asyncio
-async def test_batch_recognize_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.batch_recognize), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.batch_recognize(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].recognizer
-        mock_val = "recognizer_value"
-        assert arg == mock_val
-        arg = args[0].config
-        mock_val = cloud_speech.RecognitionConfig(auto_decoding_config=None)
-        assert arg == mock_val
-        arg = args[0].config_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-        arg = args[0].files
-        mock_val = [cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")]
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_batch_recognize_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.batch_recognize(
-            cloud_speech.BatchRecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetConfigRequest,
-        dict,
-    ],
-)
-def test_get_config(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config(
-            name="name_value",
-            kms_key_name="kms_key_name_value",
-        )
-        response = client.get_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetConfigRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-def test_get_config_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        client.get_config()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetConfigRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_config_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.GetConfigRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.Config(
-                name="name_value",
-                kms_key_name="kms_key_name_value",
-            )
-        )
-        response = await client.get_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetConfigRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-@pytest.mark.asyncio
-async def test_get_config_async_from_dict():
-    await test_get_config_async(request_type=dict)
-
-
-def test_get_config_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetConfigRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        call.return_value = cloud_speech.Config()
-        client.get_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_config_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetConfigRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_speech.Config())
-        await client.get_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_config_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_config(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_config_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_config(
-            cloud_speech.GetConfigRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_config_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_speech.Config())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_config(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_config_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_config(
-            cloud_speech.GetConfigRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateConfigRequest,
-        dict,
-    ],
-)
-def test_update_config(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config(
-            name="name_value",
-            kms_key_name="kms_key_name_value",
-        )
-        response = client.update_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateConfigRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-def test_update_config_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        client.update_config()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateConfigRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_config_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UpdateConfigRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.Config(
-                name="name_value",
-                kms_key_name="kms_key_name_value",
-            )
-        )
-        response = await client.update_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateConfigRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-@pytest.mark.asyncio
-async def test_update_config_async_from_dict():
-    await test_update_config_async(request_type=dict)
-
-
-def test_update_config_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateConfigRequest()
-
-    request.config.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        call.return_value = cloud_speech.Config()
-        client.update_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "config.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_config_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateConfigRequest()
-
-    request.config.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_speech.Config())
-        await client.update_config(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "config.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_config_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_config(
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.Config(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_config_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_config(
-            cloud_speech.UpdateConfigRequest(),
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_config_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.update_config), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.Config()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_speech.Config())
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_config(
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].config
-        mock_val = cloud_speech.Config(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_config_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_config(
-            cloud_speech.UpdateConfigRequest(),
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        client.create_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.CreateCustomClassRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_async_from_dict():
-    await test_create_custom_class_async(request_type=dict)
-
-
-def test_create_custom_class_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreateCustomClassRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.create_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_custom_class_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_custom_class(
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = cloud_speech.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-def test_create_custom_class_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_custom_class(
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].custom_class
-        mock_val = cloud_speech.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].custom_class_id
-        mock_val = "custom_class_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_custom_class_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_custom_class(
-            cloud_speech.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        client.list_custom_classes()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListCustomClassesRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.ListCustomClassesRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListCustomClassesResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListCustomClassesRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_from_dict():
-    await test_list_custom_classes_async(request_type=dict)
-
-
-def test_list_custom_classes_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = cloud_speech.ListCustomClassesResponse()
-        client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListCustomClassesRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListCustomClassesResponse()
-        )
-        await client.list_custom_classes(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_custom_classes_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListCustomClassesResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_custom_classes_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListCustomClassesResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListCustomClassesResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_custom_classes(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_custom_classes(
-            cloud_speech.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_pager(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_custom_classes(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.CustomClass) for i in results)
-
-
-def test_list_custom_classes_pages(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes), "__call__"
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_custom_classes(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pager():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_custom_classes(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, cloud_speech.CustomClass) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_custom_classes_async_pages():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_custom_classes),
-        "__call__",
-        new_callable=mock.AsyncMock,
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_custom_classes(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.CustomClass(
-            name="name_value",
-            uid="uid_value",
-            display_name="display_name_value",
-            state=cloud_speech.CustomClass.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-        response = client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.CustomClass)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.CustomClass.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        client.get_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.GetCustomClassRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.CustomClass(
-                name="name_value",
-                uid="uid_value",
-                display_name="display_name_value",
-                state=cloud_speech.CustomClass.State.ACTIVE,
-                etag="etag_value",
-                reconciling=True,
-                kms_key_name="kms_key_name_value",
-                kms_key_version_name="kms_key_version_name_value",
-            )
-        )
-        response = await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.CustomClass)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.CustomClass.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_async_from_dict():
-    await test_get_custom_class_async(request_type=dict)
-
-
-def test_get_custom_class_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = cloud_speech.CustomClass()
-        client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.CustomClass()
-        )
-        await client.get_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_custom_class_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.CustomClass()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_custom_class_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_custom_class), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.CustomClass()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.CustomClass()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_custom_class_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_custom_class(
-            cloud_speech.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        client.update_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UpdateCustomClassRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdateCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_async_from_dict():
-    await test_update_custom_class_async(request_type=dict)
-
-
-def test_update_custom_class_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdateCustomClassRequest()
-
-    request.custom_class.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.update_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "custom_class.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_custom_class_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_custom_class(
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = cloud_speech.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_custom_class_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech.UpdateCustomClassRequest(),
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_custom_class(
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].custom_class
-        mock_val = cloud_speech.CustomClass(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_custom_class_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_custom_class(
-            cloud_speech.UpdateCustomClassRequest(),
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        client.delete_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.DeleteCustomClassRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_async_from_dict():
-    await test_delete_custom_class_async(request_type=dict)
-
-
-def test_delete_custom_class_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.delete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_custom_class_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_custom_class_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_custom_class_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_custom_class(
-            cloud_speech.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_undelete_custom_class(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.undelete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_undelete_custom_class_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        client.undelete_custom_class()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteCustomClassRequest()
-
-
-@pytest.mark.asyncio
-async def test_undelete_custom_class_async(
-    transport: str = "grpc_asyncio",
-    request_type=cloud_speech.UndeleteCustomClassRequest,
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.undelete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeleteCustomClassRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_undelete_custom_class_async_from_dict():
-    await test_undelete_custom_class_async(request_type=dict)
-
-
-def test_undelete_custom_class_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.undelete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_undelete_custom_class_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeleteCustomClassRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.undelete_custom_class(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_undelete_custom_class_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.undelete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_undelete_custom_class_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_custom_class(
-            cloud_speech.UndeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_undelete_custom_class_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_custom_class), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.undelete_custom_class(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_undelete_custom_class_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.undelete_custom_class(
-            cloud_speech.UndeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_create_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        client.create_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.CreatePhraseSetRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.CreatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_async_from_dict():
-    await test_create_phrase_set_async(request_type=dict)
-
-
-def test_create_phrase_set_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.CreatePhraseSetRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.create_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_create_phrase_set_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = cloud_speech.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-def test_create_phrase_set_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.create_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.create_phrase_set(
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-        arg = args[0].phrase_set
-        mock_val = cloud_speech.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].phrase_set_id
-        mock_val = "phrase_set_id_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_create_phrase_set_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.create_phrase_set(
-            cloud_speech.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListPhraseSetsRequest,
-        dict,
-    ],
-)
-def test_list_phrase_sets(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListPhraseSetsResponse(
-            next_page_token="next_page_token_value",
-        )
-        response = client.list_phrase_sets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListPhraseSetsRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetsPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_sets_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        client.list_phrase_sets()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListPhraseSetsRequest()
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.ListPhraseSetsRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListPhraseSetsResponse(
-                next_page_token="next_page_token_value",
-            )
-        )
-        response = await client.list_phrase_sets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.ListPhraseSetsRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetsAsyncPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_async_from_dict():
-    await test_list_phrase_sets_async(request_type=dict)
-
-
-def test_list_phrase_sets_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListPhraseSetsRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        call.return_value = cloud_speech.ListPhraseSetsResponse()
-        client.list_phrase_sets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.ListPhraseSetsRequest()
-
-    request.parent = "parent_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListPhraseSetsResponse()
-        )
-        await client.list_phrase_sets(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "parent=parent_value",
-    ) in kw["metadata"]
-
-
-def test_list_phrase_sets_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListPhraseSetsResponse()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.list_phrase_sets(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-def test_list_phrase_sets_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_sets(
-            cloud_speech.ListPhraseSetsRequest(),
-            parent="parent_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.ListPhraseSetsResponse()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.ListPhraseSetsResponse()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.list_phrase_sets(
-            parent="parent_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].parent
-        mock_val = "parent_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.list_phrase_sets(
-            cloud_speech.ListPhraseSetsRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_sets_pager(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-
-        metadata = ()
-        metadata = tuple(metadata) + (
-            gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
-        )
-        pager = client.list_phrase_sets(request={})
-
-        assert pager._metadata == metadata
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.PhraseSet) for i in results)
-
-
-def test_list_phrase_sets_pages(transport_name: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials,
-        transport=transport_name,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_phrase_sets), "__call__") as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = list(client.list_phrase_sets(request={}).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_async_pager():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_sets), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        async_pager = await client.list_phrase_sets(
-            request={},
-        )
-        assert async_pager.next_page_token == "abc"
-        responses = []
-        async for response in async_pager:  # pragma: no branch
-            responses.append(response)
-
-        assert len(responses) == 6
-        assert all(isinstance(i, cloud_speech.PhraseSet) for i in responses)
-
-
-@pytest.mark.asyncio
-async def test_list_phrase_sets_async_pages():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials,
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.list_phrase_sets), "__call__", new_callable=mock.AsyncMock
-    ) as call:
-        # Set the response to a series of pages.
-        call.side_effect = (
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-            ),
-            RuntimeError,
-        )
-        pages = []
-        # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch`
-        # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372
-        async for page_ in (  # pragma: no branch
-            await client.list_phrase_sets(request={})
-        ).pages:
-            pages.append(page_)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.PhraseSet(
-            name="name_value",
-            uid="uid_value",
-            boost=0.551,
-            display_name="display_name_value",
-            state=cloud_speech.PhraseSet.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-        response = client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.PhraseSet)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.PhraseSet.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        client.get_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetPhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.GetPhraseSetRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.PhraseSet(
-                name="name_value",
-                uid="uid_value",
-                boost=0.551,
-                display_name="display_name_value",
-                state=cloud_speech.PhraseSet.State.ACTIVE,
-                etag="etag_value",
-                reconciling=True,
-                kms_key_name="kms_key_name_value",
-                kms_key_version_name="kms_key_version_name_value",
-            )
-        )
-        response = await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.GetPhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.PhraseSet)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.PhraseSet.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_async_from_dict():
-    await test_get_phrase_set_async(request_type=dict)
-
-
-def test_get_phrase_set_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = cloud_speech.PhraseSet()
-        client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.GetPhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.PhraseSet()
-        )
-        await client.get_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_get_phrase_set_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.PhraseSet()
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_get_phrase_set_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_phrase_set), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = cloud_speech.PhraseSet()
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            cloud_speech.PhraseSet()
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.get_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_get_phrase_set_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.get_phrase_set(
-            cloud_speech.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_update_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        client.update_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdatePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UpdatePhraseSetRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UpdatePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_async_from_dict():
-    await test_update_phrase_set_async(request_type=dict)
-
-
-def test_update_phrase_set_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UpdatePhraseSetRequest()
-
-    request.phrase_set.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.update_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "phrase_set.name=name_value",
-    ) in kw["metadata"]
-
-
-def test_update_phrase_set_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.update_phrase_set(
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = cloud_speech.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-def test_update_phrase_set_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech.UpdatePhraseSetRequest(),
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.update_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.update_phrase_set(
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].phrase_set
-        mock_val = cloud_speech.PhraseSet(name="name_value")
-        assert arg == mock_val
-        arg = args[0].update_mask
-        mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_update_phrase_set_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.update_phrase_set(
-            cloud_speech.UpdatePhraseSetRequest(),
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_delete_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        client.delete_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeletePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.DeletePhraseSetRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.DeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_async_from_dict():
-    await test_delete_phrase_set_async(request_type=dict)
-
-
-def test_delete_phrase_set_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.DeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.delete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_delete_phrase_set_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_delete_phrase_set_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.delete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.delete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_delete_phrase_set_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.delete_phrase_set(
-            cloud_speech.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_undelete_phrase_set(request_type, transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/spam")
-        response = client.undelete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-def test_undelete_phrase_set_empty_call():
-    # This test is a coverage failsafe to make sure that totally empty calls,
-    # i.e. request == None and no flattened fields passed, work.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        client.undelete_phrase_set()
-        call.assert_called()
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeletePhraseSetRequest()
-
-
-@pytest.mark.asyncio
-async def test_undelete_phrase_set_async(
-    transport: str = "grpc_asyncio", request_type=cloud_speech.UndeletePhraseSetRequest
-):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = request_type()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        response = await client.undelete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == cloud_speech.UndeletePhraseSetRequest()
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, future.Future)
-
-
-@pytest.mark.asyncio
-async def test_undelete_phrase_set_async_from_dict():
-    await test_undelete_phrase_set_async(request_type=dict)
-
-
-def test_undelete_phrase_set_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        client.undelete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_undelete_phrase_set_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = cloud_speech.UndeletePhraseSetRequest()
-
-    request.name = "name_value"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/op")
-        )
-        await client.undelete_phrase_set(request)
-
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=name_value",
-    ) in kw["metadata"]
-
-
-def test_undelete_phrase_set_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        client.undelete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-def test_undelete_phrase_set_flattened_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_phrase_set(
-            cloud_speech.UndeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.asyncio
-async def test_undelete_phrase_set_flattened_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(
-        type(client.transport.undelete_phrase_set), "__call__"
-    ) as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation(name="operations/op")
-
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation(name="operations/spam")
-        )
-        # Call the method with a truthy value for each flattened field,
-        # using the keyword arguments to the method.
-        response = await client.undelete_phrase_set(
-            name="name_value",
-        )
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(call.mock_calls)
-        _, args, _ = call.mock_calls[0]
-        arg = args[0].name
-        mock_val = "name_value"
-        assert arg == mock_val
-
-
-@pytest.mark.asyncio
-async def test_undelete_phrase_set_flattened_error_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        await client.undelete_phrase_set(
-            cloud_speech.UndeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreateRecognizerRequest,
-        dict,
-    ],
-)
-def test_create_recognizer_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request_init["recognizer"] = {
-        "name": "name_value",
-        "uid": "uid_value",
-        "display_name": "display_name_value",
-        "model": "model_value",
-        "language_codes": ["language_codes_value1", "language_codes_value2"],
-        "default_recognition_config": {
-            "auto_decoding_config": {},
-            "explicit_decoding_config": {
-                "encoding": 1,
-                "sample_rate_hertz": 1817,
-                "audio_channel_count": 2002,
-            },
-            "model": "model_value",
-            "language_codes": ["language_codes_value1", "language_codes_value2"],
-            "features": {
-                "profanity_filter": True,
-                "enable_word_time_offsets": True,
-                "enable_word_confidence": True,
-                "enable_automatic_punctuation": True,
-                "enable_spoken_punctuation": True,
-                "enable_spoken_emojis": True,
-                "multi_channel_mode": 1,
-                "diarization_config": {
-                    "min_speaker_count": 1814,
-                    "max_speaker_count": 1816,
-                },
-                "max_alternatives": 1719,
-            },
-            "adaptation": {
-                "phrase_sets": [
-                    {
-                        "phrase_set": "phrase_set_value",
-                        "inline_phrase_set": {
-                            "name": "name_value",
-                            "uid": "uid_value",
-                            "phrases": [{"value": "value_value", "boost": 0.551}],
-                            "boost": 0.551,
-                            "display_name": "display_name_value",
-                            "state": 2,
-                            "create_time": {"seconds": 751, "nanos": 543},
-                            "update_time": {},
-                            "delete_time": {},
-                            "expire_time": {},
-                            "annotations": {},
-                            "etag": "etag_value",
-                            "reconciling": True,
-                            "kms_key_name": "kms_key_name_value",
-                            "kms_key_version_name": "kms_key_version_name_value",
-                        },
-                    }
-                ],
-                "custom_classes": [
-                    {
-                        "name": "name_value",
-                        "uid": "uid_value",
-                        "display_name": "display_name_value",
-                        "items": [{"value": "value_value"}],
-                        "state": 2,
-                        "create_time": {},
-                        "update_time": {},
-                        "delete_time": {},
-                        "expire_time": {},
-                        "annotations": {},
-                        "etag": "etag_value",
-                        "reconciling": True,
-                        "kms_key_name": "kms_key_name_value",
-                        "kms_key_version_name": "kms_key_version_name_value",
-                    }
-                ],
-            },
-        },
-        "annotations": {},
-        "state": 2,
-        "create_time": {},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.CreateRecognizerRequest.meta.fields["recognizer"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["recognizer"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["recognizer"][field])):
-                    del request_init["recognizer"][field][i][subfield]
-            else:
-                del request_init["recognizer"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_recognizer(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_create_recognizer_rest_required_fields(
-    request_type=cloud_speech.CreateRecognizerRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_recognizer._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "recognizer_id",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_recognizer(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_recognizer_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_recognizer._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "recognizerId",
-                "validateOnly",
-            )
-        )
-        & set(
-            (
-                "recognizer",
-                "parent",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_recognizer_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_create_recognizer"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_create_recognizer"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.CreateRecognizerRequest.pb(
-            cloud_speech.CreateRecognizerRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.CreateRecognizerRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.create_recognizer(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_recognizer_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.CreateRecognizerRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_recognizer(request)
-
-
-def test_create_recognizer_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_recognizer(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/recognizers"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_recognizer_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_recognizer(
-            cloud_speech.CreateRecognizerRequest(),
-            parent="parent_value",
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            recognizer_id="recognizer_id_value",
-        )
-
-
-def test_create_recognizer_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListRecognizersRequest,
-        dict,
-    ],
-)
-def test_list_recognizers_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListRecognizersResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListRecognizersResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_recognizers(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListRecognizersPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_recognizers_rest_required_fields(
-    request_type=cloud_speech.ListRecognizersRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_recognizers._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_recognizers._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-            "show_deleted",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.ListRecognizersResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.ListRecognizersResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_recognizers(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_recognizers_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_recognizers._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-                "showDeleted",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_recognizers_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_list_recognizers"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_list_recognizers"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.ListRecognizersRequest.pb(
-            cloud_speech.ListRecognizersRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.ListRecognizersResponse.to_json(
-            cloud_speech.ListRecognizersResponse()
-        )
-
-        request = cloud_speech.ListRecognizersRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.ListRecognizersResponse()
-
-        client.list_recognizers(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_recognizers_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.ListRecognizersRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_recognizers(request)
-
-
-def test_list_recognizers_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListRecognizersResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListRecognizersResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_recognizers(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/recognizers"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_recognizers_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_recognizers(
-            cloud_speech.ListRecognizersRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_recognizers_rest_pager(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListRecognizersResponse(
-                recognizers=[
-                    cloud_speech.Recognizer(),
-                    cloud_speech.Recognizer(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech.ListRecognizersResponse.to_json(x) for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_recognizers(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.Recognizer) for i in results)
-
-        pages = list(client.list_recognizers(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetRecognizerRequest,
-        dict,
-    ],
-)
-def test_get_recognizer_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Recognizer(
-            name="name_value",
-            uid="uid_value",
-            display_name="display_name_value",
-            model="model_value",
-            language_codes=["language_codes_value"],
-            state=cloud_speech.Recognizer.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Recognizer.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_recognizer(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Recognizer)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.model == "model_value"
-    assert response.language_codes == ["language_codes_value"]
-    assert response.state == cloud_speech.Recognizer.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_recognizer_rest_required_fields(
-    request_type=cloud_speech.GetRecognizerRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.Recognizer()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.Recognizer.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_recognizer(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_recognizer_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_recognizer._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_recognizer_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_get_recognizer"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_get_recognizer"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.GetRecognizerRequest.pb(
-            cloud_speech.GetRecognizerRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.Recognizer.to_json(
-            cloud_speech.Recognizer()
-        )
-
-        request = cloud_speech.GetRecognizerRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.Recognizer()
-
-        client.get_recognizer(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_recognizer_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.GetRecognizerRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_recognizer(request)
-
-
-def test_get_recognizer_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Recognizer()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/recognizers/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Recognizer.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_recognizer(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/recognizers/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_recognizer_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_recognizer(
-            cloud_speech.GetRecognizerRequest(),
-            name="name_value",
-        )
-
-
-def test_get_recognizer_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateRecognizerRequest,
-        dict,
-    ],
-)
-def test_update_recognizer_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    }
-    request_init["recognizer"] = {
-        "name": "projects/sample1/locations/sample2/recognizers/sample3",
-        "uid": "uid_value",
-        "display_name": "display_name_value",
-        "model": "model_value",
-        "language_codes": ["language_codes_value1", "language_codes_value2"],
-        "default_recognition_config": {
-            "auto_decoding_config": {},
-            "explicit_decoding_config": {
-                "encoding": 1,
-                "sample_rate_hertz": 1817,
-                "audio_channel_count": 2002,
-            },
-            "model": "model_value",
-            "language_codes": ["language_codes_value1", "language_codes_value2"],
-            "features": {
-                "profanity_filter": True,
-                "enable_word_time_offsets": True,
-                "enable_word_confidence": True,
-                "enable_automatic_punctuation": True,
-                "enable_spoken_punctuation": True,
-                "enable_spoken_emojis": True,
-                "multi_channel_mode": 1,
-                "diarization_config": {
-                    "min_speaker_count": 1814,
-                    "max_speaker_count": 1816,
-                },
-                "max_alternatives": 1719,
-            },
-            "adaptation": {
-                "phrase_sets": [
-                    {
-                        "phrase_set": "phrase_set_value",
-                        "inline_phrase_set": {
-                            "name": "name_value",
-                            "uid": "uid_value",
-                            "phrases": [{"value": "value_value", "boost": 0.551}],
-                            "boost": 0.551,
-                            "display_name": "display_name_value",
-                            "state": 2,
-                            "create_time": {"seconds": 751, "nanos": 543},
-                            "update_time": {},
-                            "delete_time": {},
-                            "expire_time": {},
-                            "annotations": {},
-                            "etag": "etag_value",
-                            "reconciling": True,
-                            "kms_key_name": "kms_key_name_value",
-                            "kms_key_version_name": "kms_key_version_name_value",
-                        },
-                    }
-                ],
-                "custom_classes": [
-                    {
-                        "name": "name_value",
-                        "uid": "uid_value",
-                        "display_name": "display_name_value",
-                        "items": [{"value": "value_value"}],
-                        "state": 2,
-                        "create_time": {},
-                        "update_time": {},
-                        "delete_time": {},
-                        "expire_time": {},
-                        "annotations": {},
-                        "etag": "etag_value",
-                        "reconciling": True,
-                        "kms_key_name": "kms_key_name_value",
-                        "kms_key_version_name": "kms_key_version_name_value",
-                    }
-                ],
-            },
-        },
-        "annotations": {},
-        "state": 2,
-        "create_time": {},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.UpdateRecognizerRequest.meta.fields["recognizer"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["recognizer"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["recognizer"][field])):
-                    del request_init["recognizer"][field][i][subfield]
-            else:
-                del request_init["recognizer"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_recognizer(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_update_recognizer_rest_required_fields(
-    request_type=cloud_speech.UpdateRecognizerRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_recognizer._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "update_mask",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_recognizer(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_recognizer_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_recognizer._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "updateMask",
-                "validateOnly",
-            )
-        )
-        & set(("recognizer",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_recognizer_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_update_recognizer"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_update_recognizer"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UpdateRecognizerRequest.pb(
-            cloud_speech.UpdateRecognizerRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UpdateRecognizerRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.update_recognizer(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_recognizer_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UpdateRecognizerRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_recognizer(request)
-
-
-def test_update_recognizer_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "recognizer": {
-                "name": "projects/sample1/locations/sample2/recognizers/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_recognizer(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{recognizer.name=projects/*/locations/*/recognizers/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_recognizer_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_recognizer(
-            cloud_speech.UpdateRecognizerRequest(),
-            recognizer=cloud_speech.Recognizer(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_recognizer_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeleteRecognizerRequest,
-        dict,
-    ],
-)
-def test_delete_recognizer_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_recognizer(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_delete_recognizer_rest_required_fields(
-    request_type=cloud_speech.DeleteRecognizerRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_recognizer._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "allow_missing",
-            "etag",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_recognizer(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_recognizer_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_recognizer._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "allowMissing",
-                "etag",
-                "validateOnly",
-            )
-        )
-        & set(("name",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_recognizer_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_delete_recognizer"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_delete_recognizer"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.DeleteRecognizerRequest.pb(
-            cloud_speech.DeleteRecognizerRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.DeleteRecognizerRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.delete_recognizer(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_delete_recognizer_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.DeleteRecognizerRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_recognizer(request)
-
-
-def test_delete_recognizer_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/recognizers/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_recognizer(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/recognizers/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_recognizer_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_recognizer(
-            cloud_speech.DeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_recognizer_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeleteRecognizerRequest,
-        dict,
-    ],
-)
-def test_undelete_recognizer_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.undelete_recognizer(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_undelete_recognizer_rest_required_fields(
-    request_type=cloud_speech.UndeleteRecognizerRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_recognizer._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.undelete_recognizer(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_undelete_recognizer_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.undelete_recognizer._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_undelete_recognizer_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_undelete_recognizer"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_undelete_recognizer"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UndeleteRecognizerRequest.pb(
-            cloud_speech.UndeleteRecognizerRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UndeleteRecognizerRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.undelete_recognizer(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_undelete_recognizer_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UndeleteRecognizerRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/recognizers/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.undelete_recognizer(request)
-
-
-def test_undelete_recognizer_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/recognizers/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.undelete_recognizer(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/recognizers/*}:undelete"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_undelete_recognizer_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_recognizer(
-            cloud_speech.UndeleteRecognizerRequest(),
-            name="name_value",
-        )
-
-
-def test_undelete_recognizer_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.RecognizeRequest,
-        dict,
-    ],
-)
-def test_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.RecognizeResponse)
-
-
-def test_recognize_rest_required_fields(request_type=cloud_speech.RecognizeRequest):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["recognizer"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["recognizer"] = "recognizer_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "recognizer" in jsonified_request
-    assert jsonified_request["recognizer"] == "recognizer_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.RecognizeResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.RecognizeResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("recognizer",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.RecognizeRequest.pb(cloud_speech.RecognizeRequest())
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.RecognizeResponse.to_json(
-            cloud_speech.RecognizeResponse()
-        )
-
-        request = cloud_speech.RecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.RecognizeResponse()
-
-        client.recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.RecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.recognize(request)
-
-
-def test_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.RecognizeResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.RecognizeResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{recognizer=projects/*/locations/*/recognizers/*}:recognize"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.recognize(
-            cloud_speech.RecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            content=b"content_blob",
-            uri="uri_value",
-        )
-
-
-def test_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_streaming_recognize_rest_no_http_options():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = cloud_speech.StreamingRecognizeRequest()
-    requests = [request]
-    with pytest.raises(RuntimeError):
-        client.streaming_recognize(requests)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.BatchRecognizeRequest,
-        dict,
-    ],
-)
-def test_batch_recognize_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.batch_recognize(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_batch_recognize_rest_required_fields(
-    request_type=cloud_speech.BatchRecognizeRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["recognizer"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).batch_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["recognizer"] = "recognizer_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).batch_recognize._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "recognizer" in jsonified_request
-    assert jsonified_request["recognizer"] == "recognizer_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.batch_recognize(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_batch_recognize_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.batch_recognize._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("recognizer",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_batch_recognize_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_batch_recognize"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_batch_recognize"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.BatchRecognizeRequest.pb(
-            cloud_speech.BatchRecognizeRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.BatchRecognizeRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.batch_recognize(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_batch_recognize_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.BatchRecognizeRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.batch_recognize(request)
-
-
-def test_batch_recognize_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "recognizer": "projects/sample1/locations/sample2/recognizers/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.batch_recognize(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{recognizer=projects/*/locations/*/recognizers/*}:batchRecognize"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_batch_recognize_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.batch_recognize(
-            cloud_speech.BatchRecognizeRequest(),
-            recognizer="recognizer_value",
-            config=cloud_speech.RecognitionConfig(auto_decoding_config=None),
-            config_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-            files=[cloud_speech.BatchRecognizeFileMetadata(uri="uri_value")],
-        )
-
-
-def test_batch_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetConfigRequest,
-        dict,
-    ],
-)
-def test_get_config_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/config"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Config(
-            name="name_value",
-            kms_key_name="kms_key_name_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Config.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_config(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-def test_get_config_rest_required_fields(request_type=cloud_speech.GetConfigRequest):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_config._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_config._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.Config()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.Config.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_config(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_config_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_config._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_config_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_get_config"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_get_config"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.GetConfigRequest.pb(cloud_speech.GetConfigRequest())
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.Config.to_json(cloud_speech.Config())
-
-        request = cloud_speech.GetConfigRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.Config()
-
-        client.get_config(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_config_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.GetConfigRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/config"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_config(request)
-
-
-def test_get_config_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Config()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"name": "projects/sample1/locations/sample2/config"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Config.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_config(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/config}" % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_config_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_config(
-            cloud_speech.GetConfigRequest(),
-            name="name_value",
-        )
-
-
-def test_get_config_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateConfigRequest,
-        dict,
-    ],
-)
-def test_update_config_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"config": {"name": "projects/sample1/locations/sample2/config"}}
-    request_init["config"] = {
-        "name": "projects/sample1/locations/sample2/config",
-        "kms_key_name": "kms_key_name_value",
-        "update_time": {"seconds": 751, "nanos": 543},
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.UpdateConfigRequest.meta.fields["config"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["config"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["config"][field])):
-                    del request_init["config"][field][i][subfield]
-            else:
-                del request_init["config"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Config(
-            name="name_value",
-            kms_key_name="kms_key_name_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Config.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_config(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.Config)
-    assert response.name == "name_value"
-    assert response.kms_key_name == "kms_key_name_value"
-
-
-def test_update_config_rest_required_fields(
-    request_type=cloud_speech.UpdateConfigRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_config._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_config._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(("update_mask",))
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.Config()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.Config.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_config(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_config_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_config._get_unset_required_fields({})
-    assert set(unset_fields) == (set(("updateMask",)) & set(("config",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_config_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_update_config"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_update_config"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UpdateConfigRequest.pb(
-            cloud_speech.UpdateConfigRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.Config.to_json(cloud_speech.Config())
-
-        request = cloud_speech.UpdateConfigRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.Config()
-
-        client.update_config(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_config_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UpdateConfigRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"config": {"name": "projects/sample1/locations/sample2/config"}}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_config(request)
-
-
-def test_update_config_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.Config()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "config": {"name": "projects/sample1/locations/sample2/config"}
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.Config.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_config(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{config.name=projects/*/locations/*/config}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_config_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_config(
-            cloud_speech.UpdateConfigRequest(),
-            config=cloud_speech.Config(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_config_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreateCustomClassRequest,
-        dict,
-    ],
-)
-def test_create_custom_class_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request_init["custom_class"] = {
-        "name": "name_value",
-        "uid": "uid_value",
-        "display_name": "display_name_value",
-        "items": [{"value": "value_value"}],
-        "state": 2,
-        "create_time": {"seconds": 751, "nanos": 543},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "annotations": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.CreateCustomClassRequest.meta.fields["custom_class"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["custom_class"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["custom_class"][field])):
-                    del request_init["custom_class"][field][i][subfield]
-            else:
-                del request_init["custom_class"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_create_custom_class_rest_required_fields(
-    request_type=cloud_speech.CreateCustomClassRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_custom_class._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "custom_class_id",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_custom_class_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "customClassId",
-                "validateOnly",
-            )
-        )
-        & set(
-            (
-                "customClass",
-                "parent",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_create_custom_class"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_create_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.CreateCustomClassRequest.pb(
-            cloud_speech.CreateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.CreateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.create_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.CreateCustomClassRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_custom_class(request)
-
-
-def test_create_custom_class_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_custom_class(
-            cloud_speech.CreateCustomClassRequest(),
-            parent="parent_value",
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            custom_class_id="custom_class_id_value",
-        )
-
-
-def test_create_custom_class_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListCustomClassesRequest,
-        dict,
-    ],
-)
-def test_list_custom_classes_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListCustomClassesResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListCustomClassesResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_custom_classes(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListCustomClassesPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_custom_classes_rest_required_fields(
-    request_type=cloud_speech.ListCustomClassesRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_custom_classes._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-            "show_deleted",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.ListCustomClassesResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.ListCustomClassesResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_custom_classes(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_custom_classes_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_custom_classes._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-                "showDeleted",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_custom_classes_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_list_custom_classes"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_list_custom_classes"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.ListCustomClassesRequest.pb(
-            cloud_speech.ListCustomClassesRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.ListCustomClassesResponse.to_json(
-            cloud_speech.ListCustomClassesResponse()
-        )
-
-        request = cloud_speech.ListCustomClassesRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.ListCustomClassesResponse()
-
-        client.list_custom_classes(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_custom_classes_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.ListCustomClassesRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_custom_classes(request)
-
-
-def test_list_custom_classes_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListCustomClassesResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListCustomClassesResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_custom_classes(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/customClasses"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_custom_classes_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_custom_classes(
-            cloud_speech.ListCustomClassesRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_custom_classes_rest_pager(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListCustomClassesResponse(
-                custom_classes=[
-                    cloud_speech.CustomClass(),
-                    cloud_speech.CustomClass(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech.ListCustomClassesResponse.to_json(x) for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_custom_classes(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.CustomClass) for i in results)
-
-        pages = list(client.list_custom_classes(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetCustomClassRequest,
-        dict,
-    ],
-)
-def test_get_custom_class_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.CustomClass(
-            name="name_value",
-            uid="uid_value",
-            display_name="display_name_value",
-            state=cloud_speech.CustomClass.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.CustomClass)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.CustomClass.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_custom_class_rest_required_fields(
-    request_type=cloud_speech.GetCustomClassRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.CustomClass()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.CustomClass.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_custom_class_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_get_custom_class"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_get_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.GetCustomClassRequest.pb(
-            cloud_speech.GetCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.CustomClass.to_json(
-            cloud_speech.CustomClass()
-        )
-
-        request = cloud_speech.GetCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.CustomClass()
-
-        client.get_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.GetCustomClassRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_custom_class(request)
-
-
-def test_get_custom_class_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.CustomClass()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.CustomClass.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_custom_class(
-            cloud_speech.GetCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_get_custom_class_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdateCustomClassRequest,
-        dict,
-    ],
-)
-def test_update_custom_class_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request_init["custom_class"] = {
-        "name": "projects/sample1/locations/sample2/customClasses/sample3",
-        "uid": "uid_value",
-        "display_name": "display_name_value",
-        "items": [{"value": "value_value"}],
-        "state": 2,
-        "create_time": {"seconds": 751, "nanos": 543},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "annotations": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.UpdateCustomClassRequest.meta.fields["custom_class"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["custom_class"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["custom_class"][field])):
-                    del request_init["custom_class"][field][i][subfield]
-            else:
-                del request_init["custom_class"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_update_custom_class_rest_required_fields(
-    request_type=cloud_speech.UpdateCustomClassRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_custom_class._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "update_mask",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_custom_class_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "updateMask",
-                "validateOnly",
-            )
-        )
-        & set(("customClass",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_update_custom_class"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_update_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UpdateCustomClassRequest.pb(
-            cloud_speech.UpdateCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UpdateCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.update_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UpdateCustomClassRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "custom_class": {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_custom_class(request)
-
-
-def test_update_custom_class_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "custom_class": {
-                "name": "projects/sample1/locations/sample2/customClasses/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{custom_class.name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_custom_class(
-            cloud_speech.UpdateCustomClassRequest(),
-            custom_class=cloud_speech.CustomClass(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_custom_class_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_delete_custom_class_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_delete_custom_class_rest_required_fields(
-    request_type=cloud_speech.DeleteCustomClassRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_custom_class._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "allow_missing",
-            "etag",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_custom_class_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "allowMissing",
-                "etag",
-                "validateOnly",
-            )
-        )
-        & set(("name",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_delete_custom_class"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_delete_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.DeleteCustomClassRequest.pb(
-            cloud_speech.DeleteCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.DeleteCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.delete_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_delete_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.DeleteCustomClassRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_custom_class(request)
-
-
-def test_delete_custom_class_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/customClasses/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_custom_class(
-            cloud_speech.DeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_custom_class_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeleteCustomClassRequest,
-        dict,
-    ],
-)
-def test_undelete_custom_class_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.undelete_custom_class(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_undelete_custom_class_rest_required_fields(
-    request_type=cloud_speech.UndeleteCustomClassRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_custom_class._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.undelete_custom_class(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_undelete_custom_class_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.undelete_custom_class._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_undelete_custom_class_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_undelete_custom_class"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_undelete_custom_class"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UndeleteCustomClassRequest.pb(
-            cloud_speech.UndeleteCustomClassRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UndeleteCustomClassRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.undelete_custom_class(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_undelete_custom_class_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UndeleteCustomClassRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/customClasses/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.undelete_custom_class(request)
-
-
-def test_undelete_custom_class_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/customClasses/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.undelete_custom_class(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/customClasses/*}:undelete"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_undelete_custom_class_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_custom_class(
-            cloud_speech.UndeleteCustomClassRequest(),
-            name="name_value",
-        )
-
-
-def test_undelete_custom_class_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.CreatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_create_phrase_set_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request_init["phrase_set"] = {
-        "name": "name_value",
-        "uid": "uid_value",
-        "phrases": [{"value": "value_value", "boost": 0.551}],
-        "boost": 0.551,
-        "display_name": "display_name_value",
-        "state": 2,
-        "create_time": {"seconds": 751, "nanos": 543},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "annotations": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.CreatePhraseSetRequest.meta.fields["phrase_set"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["phrase_set"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["phrase_set"][field])):
-                    del request_init["phrase_set"][field][i][subfield]
-            else:
-                del request_init["phrase_set"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.create_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_create_phrase_set_rest_required_fields(
-    request_type=cloud_speech.CreatePhraseSetRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).create_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "phrase_set_id",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.create_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_create_phrase_set_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.create_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "phraseSetId",
-                "validateOnly",
-            )
-        )
-        & set(
-            (
-                "phraseSet",
-                "parent",
-            )
-        )
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_create_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_create_phrase_set"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_create_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.CreatePhraseSetRequest.pb(
-            cloud_speech.CreatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.CreatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.create_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_create_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.CreatePhraseSetRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.create_phrase_set(request)
-
-
-def test_create_phrase_set_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.create_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/phraseSets" % client.transport._host,
-            args[1],
-        )
-
-
-def test_create_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.create_phrase_set(
-            cloud_speech.CreatePhraseSetRequest(),
-            parent="parent_value",
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            phrase_set_id="phrase_set_id_value",
-        )
-
-
-def test_create_phrase_set_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.ListPhraseSetsRequest,
-        dict,
-    ],
-)
-def test_list_phrase_sets_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListPhraseSetsResponse(
-            next_page_token="next_page_token_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListPhraseSetsResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.list_phrase_sets(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, pagers.ListPhraseSetsPager)
-    assert response.next_page_token == "next_page_token_value"
-
-
-def test_list_phrase_sets_rest_required_fields(
-    request_type=cloud_speech.ListPhraseSetsRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["parent"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_sets._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["parent"] = "parent_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).list_phrase_sets._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "page_size",
-            "page_token",
-            "show_deleted",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "parent" in jsonified_request
-    assert jsonified_request["parent"] == "parent_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.ListPhraseSetsResponse()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.ListPhraseSetsResponse.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.list_phrase_sets(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_list_phrase_sets_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.list_phrase_sets._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "pageSize",
-                "pageToken",
-                "showDeleted",
-            )
-        )
-        & set(("parent",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_list_phrase_sets_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_list_phrase_sets"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_list_phrase_sets"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.ListPhraseSetsRequest.pb(
-            cloud_speech.ListPhraseSetsRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.ListPhraseSetsResponse.to_json(
-            cloud_speech.ListPhraseSetsResponse()
-        )
-
-        request = cloud_speech.ListPhraseSetsRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.ListPhraseSetsResponse()
-
-        client.list_phrase_sets(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_list_phrase_sets_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.ListPhraseSetsRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"parent": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_phrase_sets(request)
-
-
-def test_list_phrase_sets_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.ListPhraseSetsResponse()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            parent="parent_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.ListPhraseSetsResponse.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.list_phrase_sets(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{parent=projects/*/locations/*}/phraseSets" % client.transport._host,
-            args[1],
-        )
-
-
-def test_list_phrase_sets_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.list_phrase_sets(
-            cloud_speech.ListPhraseSetsRequest(),
-            parent="parent_value",
-        )
-
-
-def test_list_phrase_sets_rest_pager(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # TODO(kbandes): remove this mock unless there's a good reason for it.
-        # with mock.patch.object(path_template, 'transcode') as transcode:
-        # Set the response as a series of pages
-        response = (
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="abc",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[],
-                next_page_token="def",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                ],
-                next_page_token="ghi",
-            ),
-            cloud_speech.ListPhraseSetsResponse(
-                phrase_sets=[
-                    cloud_speech.PhraseSet(),
-                    cloud_speech.PhraseSet(),
-                ],
-            ),
-        )
-        # Two responses for two calls
-        response = response + response
-
-        # Wrap the values into proper Response objs
-        response = tuple(
-            cloud_speech.ListPhraseSetsResponse.to_json(x) for x in response
-        )
-        return_values = tuple(Response() for i in response)
-        for return_val, response_val in zip(return_values, response):
-            return_val._content = response_val.encode("UTF-8")
-            return_val.status_code = 200
-        req.side_effect = return_values
-
-        sample_request = {"parent": "projects/sample1/locations/sample2"}
-
-        pager = client.list_phrase_sets(request=sample_request)
-
-        results = list(pager)
-        assert len(results) == 6
-        assert all(isinstance(i, cloud_speech.PhraseSet) for i in results)
-
-        pages = list(client.list_phrase_sets(request=sample_request).pages)
-        for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
-            assert page_.raw_page.next_page_token == token
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.GetPhraseSetRequest,
-        dict,
-    ],
-)
-def test_get_phrase_set_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.PhraseSet(
-            name="name_value",
-            uid="uid_value",
-            boost=0.551,
-            display_name="display_name_value",
-            state=cloud_speech.PhraseSet.State.ACTIVE,
-            etag="etag_value",
-            reconciling=True,
-            kms_key_name="kms_key_name_value",
-            kms_key_version_name="kms_key_version_name_value",
-        )
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.get_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, cloud_speech.PhraseSet)
-    assert response.name == "name_value"
-    assert response.uid == "uid_value"
-    assert math.isclose(response.boost, 0.551, rel_tol=1e-6)
-    assert response.display_name == "display_name_value"
-    assert response.state == cloud_speech.PhraseSet.State.ACTIVE
-    assert response.etag == "etag_value"
-    assert response.reconciling is True
-    assert response.kms_key_name == "kms_key_name_value"
-    assert response.kms_key_version_name == "kms_key_version_name_value"
-
-
-def test_get_phrase_set_rest_required_fields(
-    request_type=cloud_speech.GetPhraseSetRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).get_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = cloud_speech.PhraseSet()
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "get",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-
-            # Convert return value to protobuf type
-            return_value = cloud_speech.PhraseSet.pb(return_value)
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.get_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_get_phrase_set_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.get_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_get_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        transports.SpeechRestInterceptor, "post_get_phrase_set"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_get_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.GetPhraseSetRequest.pb(
-            cloud_speech.GetPhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = cloud_speech.PhraseSet.to_json(
-            cloud_speech.PhraseSet()
-        )
-
-        request = cloud_speech.GetPhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = cloud_speech.PhraseSet()
-
-        client.get_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_get_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.GetPhraseSetRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_phrase_set(request)
-
-
-def test_get_phrase_set_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = cloud_speech.PhraseSet()
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        # Convert return value to protobuf type
-        return_value = cloud_speech.PhraseSet.pb(return_value)
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.get_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/phraseSets/*}" % client.transport._host,
-            args[1],
-        )
-
-
-def test_get_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.get_phrase_set(
-            cloud_speech.GetPhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_get_phrase_set_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UpdatePhraseSetRequest,
-        dict,
-    ],
-)
-def test_update_phrase_set_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request_init["phrase_set"] = {
-        "name": "projects/sample1/locations/sample2/phraseSets/sample3",
-        "uid": "uid_value",
-        "phrases": [{"value": "value_value", "boost": 0.551}],
-        "boost": 0.551,
-        "display_name": "display_name_value",
-        "state": 2,
-        "create_time": {"seconds": 751, "nanos": 543},
-        "update_time": {},
-        "delete_time": {},
-        "expire_time": {},
-        "annotations": {},
-        "etag": "etag_value",
-        "reconciling": True,
-        "kms_key_name": "kms_key_name_value",
-        "kms_key_version_name": "kms_key_version_name_value",
-    }
-    # The version of a generated dependency at test runtime may differ from the version used during generation.
-    # Delete any fields which are not present in the current runtime dependency
-    # See https://github.com/googleapis/gapic-generator-python/issues/1748
-
-    # Determine if the message type is proto-plus or protobuf
-    test_field = cloud_speech.UpdatePhraseSetRequest.meta.fields["phrase_set"]
-
-    def get_message_fields(field):
-        # Given a field which is a message (composite type), return a list with
-        # all the fields of the message.
-        # If the field is not a composite type, return an empty list.
-        message_fields = []
-
-        if hasattr(field, "message") and field.message:
-            is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR")
-
-            if is_field_type_proto_plus_type:
-                message_fields = field.message.meta.fields.values()
-            # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types
-            else:  # pragma: NO COVER
-                message_fields = field.message.DESCRIPTOR.fields
-        return message_fields
-
-    runtime_nested_fields = [
-        (field.name, nested_field.name)
-        for field in get_message_fields(test_field)
-        for nested_field in get_message_fields(field)
-    ]
-
-    subfields_not_in_runtime = []
-
-    # For each item in the sample request, create a list of sub fields which are not present at runtime
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for field, value in request_init["phrase_set"].items():  # pragma: NO COVER
-        result = None
-        is_repeated = False
-        # For repeated fields
-        if isinstance(value, list) and len(value):
-            is_repeated = True
-            result = value[0]
-        # For fields where the type is another message
-        if isinstance(value, dict):
-            result = value
-
-        if result and hasattr(result, "keys"):
-            for subfield in result.keys():
-                if (field, subfield) not in runtime_nested_fields:
-                    subfields_not_in_runtime.append(
-                        {
-                            "field": field,
-                            "subfield": subfield,
-                            "is_repeated": is_repeated,
-                        }
-                    )
-
-    # Remove fields from the sample request which are not present in the runtime version of the dependency
-    # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime
-    for subfield_to_delete in subfields_not_in_runtime:  # pragma: NO COVER
-        field = subfield_to_delete.get("field")
-        field_repeated = subfield_to_delete.get("is_repeated")
-        subfield = subfield_to_delete.get("subfield")
-        if subfield:
-            if field_repeated:
-                for i in range(0, len(request_init["phrase_set"][field])):
-                    del request_init["phrase_set"][field][i][subfield]
-            else:
-                del request_init["phrase_set"][field][subfield]
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.update_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_update_phrase_set_rest_required_fields(
-    request_type=cloud_speech.UpdatePhraseSetRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).update_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "update_mask",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "patch",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.update_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_update_phrase_set_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.update_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "updateMask",
-                "validateOnly",
-            )
-        )
-        & set(("phraseSet",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_update_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_update_phrase_set"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_update_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UpdatePhraseSetRequest.pb(
-            cloud_speech.UpdatePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UpdatePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.update_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_update_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UpdatePhraseSetRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {
-        "phrase_set": {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    }
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.update_phrase_set(request)
-
-
-def test_update_phrase_set_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "phrase_set": {
-                "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-            }
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.update_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{phrase_set.name=projects/*/locations/*/phraseSets/*}"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_update_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.update_phrase_set(
-            cloud_speech.UpdatePhraseSetRequest(),
-            phrase_set=cloud_speech.PhraseSet(name="name_value"),
-            update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
-        )
-
-
-def test_update_phrase_set_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.DeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_delete_phrase_set_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.delete_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_delete_phrase_set_rest_required_fields(
-    request_type=cloud_speech.DeletePhraseSetRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).delete_phrase_set._get_unset_required_fields(jsonified_request)
-    # Check that path parameters and body parameters are not mixing in.
-    assert not set(unset_fields) - set(
-        (
-            "allow_missing",
-            "etag",
-            "validate_only",
-        )
-    )
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "delete",
-                "query_params": pb_request,
-            }
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.delete_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_delete_phrase_set_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.delete_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (
-        set(
-            (
-                "allowMissing",
-                "etag",
-                "validateOnly",
-            )
-        )
-        & set(("name",))
-    )
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_delete_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_delete_phrase_set"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_delete_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.DeletePhraseSetRequest.pb(
-            cloud_speech.DeletePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.DeletePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.delete_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_delete_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.DeletePhraseSetRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_phrase_set(request)
-
-
-def test_delete_phrase_set_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.delete_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/phraseSets/*}" % client.transport._host,
-            args[1],
-        )
-
-
-def test_delete_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.delete_phrase_set(
-            cloud_speech.DeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_delete_phrase_set_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        cloud_speech.UndeletePhraseSetRequest,
-        dict,
-    ],
-)
-def test_undelete_phrase_set_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-        response = client.undelete_phrase_set(request)
-
-    # Establish that the response is the type that we expect.
-    assert response.operation.name == "operations/spam"
-
-
-def test_undelete_phrase_set_rest_required_fields(
-    request_type=cloud_speech.UndeletePhraseSetRequest,
-):
-    transport_class = transports.SpeechRestTransport
-
-    request_init = {}
-    request_init["name"] = ""
-    request = request_type(**request_init)
-    pb_request = request_type.pb(request)
-    jsonified_request = json.loads(
-        json_format.MessageToJson(
-            pb_request,
-            including_default_value_fields=False,
-            use_integers_for_enums=False,
-        )
-    )
-
-    # verify fields with default values are dropped
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with default values are now present
-
-    jsonified_request["name"] = "name_value"
-
-    unset_fields = transport_class(
-        credentials=ga_credentials.AnonymousCredentials()
-    ).undelete_phrase_set._get_unset_required_fields(jsonified_request)
-    jsonified_request.update(unset_fields)
-
-    # verify required fields with non-default values are left alone
-    assert "name" in jsonified_request
-    assert jsonified_request["name"] == "name_value"
-
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request = request_type(**request_init)
-
-    # Designate an appropriate value for the returned response.
-    return_value = operations_pb2.Operation(name="operations/spam")
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(Session, "request") as req:
-        # We need to mock transcode() because providing default values
-        # for required fields will fail the real version if the http_options
-        # expect actual values for those fields.
-        with mock.patch.object(path_template, "transcode") as transcode:
-            # A uri without fields and an empty body will force all the
-            # request fields to show up in the query_params.
-            pb_request = request_type.pb(request)
-            transcode_result = {
-                "uri": "v1/sample_method",
-                "method": "post",
-                "query_params": pb_request,
-            }
-            transcode_result["body"] = pb_request
-            transcode.return_value = transcode_result
-
-            response_value = Response()
-            response_value.status_code = 200
-            json_return_value = json_format.MessageToJson(return_value)
-
-            response_value._content = json_return_value.encode("UTF-8")
-            req.return_value = response_value
-
-            response = client.undelete_phrase_set(request)
-
-            expected_params = [("$alt", "json;enum-encoding=int")]
-            actual_params = req.call_args.kwargs["params"]
-            assert expected_params == actual_params
-
-
-def test_undelete_phrase_set_rest_unset_required_fields():
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials
-    )
-
-    unset_fields = transport.undelete_phrase_set._get_unset_required_fields({})
-    assert set(unset_fields) == (set(()) & set(("name",)))
-
-
-@pytest.mark.parametrize("null_interceptor", [True, False])
-def test_undelete_phrase_set_rest_interceptors(null_interceptor):
-    transport = transports.SpeechRestTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-        interceptor=None if null_interceptor else transports.SpeechRestInterceptor(),
-    )
-    client = SpeechClient(transport=transport)
-    with mock.patch.object(
-        type(client.transport._session), "request"
-    ) as req, mock.patch.object(
-        path_template, "transcode"
-    ) as transcode, mock.patch.object(
-        operation.Operation, "_set_result_from_operation"
-    ), mock.patch.object(
-        transports.SpeechRestInterceptor, "post_undelete_phrase_set"
-    ) as post, mock.patch.object(
-        transports.SpeechRestInterceptor, "pre_undelete_phrase_set"
-    ) as pre:
-        pre.assert_not_called()
-        post.assert_not_called()
-        pb_message = cloud_speech.UndeletePhraseSetRequest.pb(
-            cloud_speech.UndeletePhraseSetRequest()
-        )
-        transcode.return_value = {
-            "method": "post",
-            "uri": "my_uri",
-            "body": pb_message,
-            "query_params": pb_message,
-        }
-
-        req.return_value = Response()
-        req.return_value.status_code = 200
-        req.return_value.request = PreparedRequest()
-        req.return_value._content = json_format.MessageToJson(
-            operations_pb2.Operation()
-        )
-
-        request = cloud_speech.UndeletePhraseSetRequest()
-        metadata = [
-            ("key", "val"),
-            ("cephalopod", "squid"),
-        ]
-        pre.return_value = request, metadata
-        post.return_value = operations_pb2.Operation()
-
-        client.undelete_phrase_set(
-            request,
-            metadata=[
-                ("key", "val"),
-                ("cephalopod", "squid"),
-            ],
-        )
-
-        pre.assert_called_once()
-        post.assert_called_once()
-
-
-def test_undelete_phrase_set_rest_bad_request(
-    transport: str = "rest", request_type=cloud_speech.UndeletePhraseSetRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # send a request that will satisfy transcoding
-    request_init = {"name": "projects/sample1/locations/sample2/phraseSets/sample3"}
-    request = request_type(**request_init)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.undelete_phrase_set(request)
-
-
-def test_undelete_phrase_set_rest_flattened():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation(name="operations/spam")
-
-        # get arguments that satisfy an http rule for this method
-        sample_request = {
-            "name": "projects/sample1/locations/sample2/phraseSets/sample3"
-        }
-
-        # get truthy value for each flattened field
-        mock_args = dict(
-            name="name_value",
-        )
-        mock_args.update(sample_request)
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        client.undelete_phrase_set(**mock_args)
-
-        # Establish that the underlying call was made with the expected
-        # request object values.
-        assert len(req.mock_calls) == 1
-        _, args, _ = req.mock_calls[0]
-        assert path_template.validate(
-            "%s/v2/{name=projects/*/locations/*/phraseSets/*}:undelete"
-            % client.transport._host,
-            args[1],
-        )
-
-
-def test_undelete_phrase_set_rest_flattened_error(transport: str = "rest"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Attempting to call a method with both a request object and flattened
-    # fields is an error.
-    with pytest.raises(ValueError):
-        client.undelete_phrase_set(
-            cloud_speech.UndeletePhraseSetRequest(),
-            name="name_value",
-        )
-
-
-def test_undelete_phrase_set_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-
-
-def test_streaming_recognize_rest_error():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(), transport="rest"
-    )
-    # Since a `google.api.http` annotation is required for using a rest transport
-    # method, this should error.
-    with pytest.raises(NotImplementedError) as not_implemented_error:
-        client.streaming_recognize({})
-    assert "Method StreamingRecognize is not available over REST transport" in str(
-        not_implemented_error.value
-    )
-
-
-def test_credentials_transport_error():
-    # It is an error to provide credentials and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            transport=transport,
-        )
-
-    # It is an error to provide a credentials file and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"credentials_file": "credentials.json"},
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    options = client_options.ClientOptions()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options,
-            transport=transport,
-        )
-
-    # It is an error to provide an api_key and a credential.
-    options = mock.Mock()
-    options.api_key = "api_key"
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options=options, credentials=ga_credentials.AnonymousCredentials()
-        )
-
-    # It is an error to provide scopes and a transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    with pytest.raises(ValueError):
-        client = SpeechClient(
-            client_options={"scopes": ["1", "2"]},
-            transport=transport,
-        )
-
-
-def test_transport_instance():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    client = SpeechClient(transport=transport)
-    assert client.transport is transport
-
-
-def test_transport_get_channel():
-    # A client may be instantiated with a custom transport instance.
-    transport = transports.SpeechGrpcTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    channel = transport.grpc_channel
-    assert channel
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_transport_adc(transport_class):
-    # Test default credentials are used if not provided.
-    with mock.patch.object(google.auth, "default") as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class()
-        adc.assert_called_once()
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "rest",
-    ],
-)
-def test_transport_kind(transport_name):
-    transport = SpeechClient.get_transport_class(transport_name)(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert transport.kind == transport_name
-
-
-def test_transport_grpc_default():
-    # A client should use the gRPC transport by default.
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    assert isinstance(
-        client.transport,
-        transports.SpeechGrpcTransport,
-    )
-
-
-def test_speech_base_transport_error():
-    # Passing both a credentials object and credentials_file should raise an error
-    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-            credentials_file="credentials.json",
-        )
-
-
-def test_speech_base_transport():
-    # Instantiate the base transport.
-    with mock.patch(
-        "google.cloud.speech_v2.services.speech.transports.SpeechTransport.__init__"
-    ) as Transport:
-        Transport.return_value = None
-        transport = transports.SpeechTransport(
-            credentials=ga_credentials.AnonymousCredentials(),
-        )
-
-    # Every method on the transport should just blindly
-    # raise NotImplementedError.
-    methods = (
-        "create_recognizer",
-        "list_recognizers",
-        "get_recognizer",
-        "update_recognizer",
-        "delete_recognizer",
-        "undelete_recognizer",
-        "recognize",
-        "streaming_recognize",
-        "batch_recognize",
-        "get_config",
-        "update_config",
-        "create_custom_class",
-        "list_custom_classes",
-        "get_custom_class",
-        "update_custom_class",
-        "delete_custom_class",
-        "undelete_custom_class",
-        "create_phrase_set",
-        "list_phrase_sets",
-        "get_phrase_set",
-        "update_phrase_set",
-        "delete_phrase_set",
-        "undelete_phrase_set",
-        "get_location",
-        "list_locations",
-        "get_operation",
-        "cancel_operation",
-        "delete_operation",
-        "list_operations",
-    )
-    for method in methods:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, method)(request=object())
-
-    with pytest.raises(NotImplementedError):
-        transport.close()
-
-    # Additionally, the LRO client (a property) should
-    # also raise NotImplementedError
-    with pytest.raises(NotImplementedError):
-        transport.operations_client
-
-    # Catch all for all remaining methods and properties
-    remainder = [
-        "kind",
-    ]
-    for r in remainder:
-        with pytest.raises(NotImplementedError):
-            getattr(transport, r)()
-
-
-def test_speech_base_transport_with_credentials_file():
-    # Instantiate the base transport with a credentials file
-    with mock.patch.object(
-        google.auth, "load_credentials_from_file", autospec=True
-    ) as load_creds, mock.patch(
-        "google.cloud.speech_v2.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport(
-            credentials_file="credentials.json",
-            quota_project_id="octopus",
-        )
-        load_creds.assert_called_once_with(
-            "credentials.json",
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-def test_speech_base_transport_with_adc():
-    # Test the default credentials are used if credentials and credentials_file are None.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
-        "google.cloud.speech_v2.services.speech.transports.SpeechTransport._prep_wrapped_messages"
-    ) as Transport:
-        Transport.return_value = None
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport = transports.SpeechTransport()
-        adc.assert_called_once()
-
-
-def test_speech_auth_adc():
-    # If no credentials are provided, we should use ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        SpeechClient()
-        adc.assert_called_once_with(
-            scopes=None,
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id=None,
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-    ],
-)
-def test_speech_transport_auth_adc(transport_class):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(google.auth, "default", autospec=True) as adc:
-        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-        adc.assert_called_once_with(
-            scopes=["1", "2"],
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            quota_project_id="octopus",
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [
-        transports.SpeechGrpcTransport,
-        transports.SpeechGrpcAsyncIOTransport,
-        transports.SpeechRestTransport,
-    ],
-)
-def test_speech_transport_auth_gdch_credentials(transport_class):
-    host = "https://language.com"
-    api_audience_tests = [None, "https://language2.com"]
-    api_audience_expect = [host, "https://language2.com"]
-    for t, e in zip(api_audience_tests, api_audience_expect):
-        with mock.patch.object(google.auth, "default", autospec=True) as adc:
-            gdch_mock = mock.MagicMock()
-            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
-                return_value=gdch_mock
-            )
-            adc.return_value = (gdch_mock, None)
-            transport_class(host=host, api_audience=t)
-            gdch_mock.with_gdch_audience.assert_called_once_with(e)
-
-
-@pytest.mark.parametrize(
-    "transport_class,grpc_helpers",
-    [
-        (transports.SpeechGrpcTransport, grpc_helpers),
-        (transports.SpeechGrpcAsyncIOTransport, grpc_helpers_async),
-    ],
-)
-def test_speech_transport_create_channel(transport_class, grpc_helpers):
-    # If credentials and host are not provided, the transport class should use
-    # ADC credentials.
-    with mock.patch.object(
-        google.auth, "default", autospec=True
-    ) as adc, mock.patch.object(
-        grpc_helpers, "create_channel", autospec=True
-    ) as create_channel:
-        creds = ga_credentials.AnonymousCredentials()
-        adc.return_value = (creds, None)
-        transport_class(quota_project_id="octopus", scopes=["1", "2"])
-
-        create_channel.assert_called_with(
-            "speech.googleapis.com:443",
-            credentials=creds,
-            credentials_file=None,
-            quota_project_id="octopus",
-            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
-            scopes=["1", "2"],
-            default_host="speech.googleapis.com",
-            ssl_credentials=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_grpc_transport_client_cert_source_for_mtls(transport_class):
-    cred = ga_credentials.AnonymousCredentials()
-
-    # Check ssl_channel_credentials is used if provided.
-    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
-        mock_ssl_channel_creds = mock.Mock()
-        transport_class(
-            host="squid.clam.whelk",
-            credentials=cred,
-            ssl_channel_credentials=mock_ssl_channel_creds,
-        )
-        mock_create_channel.assert_called_once_with(
-            "squid.clam.whelk:443",
-            credentials=cred,
-            credentials_file=None,
-            scopes=None,
-            ssl_credentials=mock_ssl_channel_creds,
-            quota_project_id=None,
-            options=[
-                ("grpc.max_send_message_length", -1),
-                ("grpc.max_receive_message_length", -1),
-            ],
-        )
-
-    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
-    # is used.
-    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
-        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
-            transport_class(
-                credentials=cred,
-                client_cert_source_for_mtls=client_cert_source_callback,
-            )
-            expected_cert, expected_key = client_cert_source_callback()
-            mock_ssl_cred.assert_called_once_with(
-                certificate_chain=expected_cert, private_key=expected_key
-            )
-
-
-def test_speech_http_transport_client_cert_source_for_mtls():
-    cred = ga_credentials.AnonymousCredentials()
-    with mock.patch(
-        "google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"
-    ) as mock_configure_mtls_channel:
-        transports.SpeechRestTransport(
-            credentials=cred, client_cert_source_for_mtls=client_cert_source_callback
-        )
-        mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback)
-
-
-def test_speech_rest_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.AbstractOperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_no_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:443"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "grpc",
-        "grpc_asyncio",
-        "rest",
-    ],
-)
-def test_speech_host_with_port(transport_name):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        client_options=client_options.ClientOptions(
-            api_endpoint="speech.googleapis.com:8000"
-        ),
-        transport=transport_name,
-    )
-    assert client.transport._host == (
-        "speech.googleapis.com:8000"
-        if transport_name in ["grpc", "grpc_asyncio"]
-        else "https://speech.googleapis.com:8000"
-    )
-
-
-@pytest.mark.parametrize(
-    "transport_name",
-    [
-        "rest",
-    ],
-)
-def test_speech_client_transport_session_collision(transport_name):
-    creds1 = ga_credentials.AnonymousCredentials()
-    creds2 = ga_credentials.AnonymousCredentials()
-    client1 = SpeechClient(
-        credentials=creds1,
-        transport=transport_name,
-    )
-    client2 = SpeechClient(
-        credentials=creds2,
-        transport=transport_name,
-    )
-    session1 = client1.transport.create_recognizer._session
-    session2 = client2.transport.create_recognizer._session
-    assert session1 != session2
-    session1 = client1.transport.list_recognizers._session
-    session2 = client2.transport.list_recognizers._session
-    assert session1 != session2
-    session1 = client1.transport.get_recognizer._session
-    session2 = client2.transport.get_recognizer._session
-    assert session1 != session2
-    session1 = client1.transport.update_recognizer._session
-    session2 = client2.transport.update_recognizer._session
-    assert session1 != session2
-    session1 = client1.transport.delete_recognizer._session
-    session2 = client2.transport.delete_recognizer._session
-    assert session1 != session2
-    session1 = client1.transport.undelete_recognizer._session
-    session2 = client2.transport.undelete_recognizer._session
-    assert session1 != session2
-    session1 = client1.transport.recognize._session
-    session2 = client2.transport.recognize._session
-    assert session1 != session2
-    session1 = client1.transport.streaming_recognize._session
-    session2 = client2.transport.streaming_recognize._session
-    assert session1 != session2
-    session1 = client1.transport.batch_recognize._session
-    session2 = client2.transport.batch_recognize._session
-    assert session1 != session2
-    session1 = client1.transport.get_config._session
-    session2 = client2.transport.get_config._session
-    assert session1 != session2
-    session1 = client1.transport.update_config._session
-    session2 = client2.transport.update_config._session
-    assert session1 != session2
-    session1 = client1.transport.create_custom_class._session
-    session2 = client2.transport.create_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.list_custom_classes._session
-    session2 = client2.transport.list_custom_classes._session
-    assert session1 != session2
-    session1 = client1.transport.get_custom_class._session
-    session2 = client2.transport.get_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.update_custom_class._session
-    session2 = client2.transport.update_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.delete_custom_class._session
-    session2 = client2.transport.delete_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.undelete_custom_class._session
-    session2 = client2.transport.undelete_custom_class._session
-    assert session1 != session2
-    session1 = client1.transport.create_phrase_set._session
-    session2 = client2.transport.create_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.list_phrase_sets._session
-    session2 = client2.transport.list_phrase_sets._session
-    assert session1 != session2
-    session1 = client1.transport.get_phrase_set._session
-    session2 = client2.transport.get_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.update_phrase_set._session
-    session2 = client2.transport.update_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.delete_phrase_set._session
-    session2 = client2.transport.delete_phrase_set._session
-    assert session1 != session2
-    session1 = client1.transport.undelete_phrase_set._session
-    session2 = client2.transport.undelete_phrase_set._session
-    assert session1 != session2
-
-
-def test_speech_grpc_transport_channel():
-    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-def test_speech_grpc_asyncio_transport_channel():
-    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
-
-    # Check that channel is used if provided.
-    transport = transports.SpeechGrpcAsyncIOTransport(
-        host="squid.clam.whelk",
-        channel=channel,
-    )
-    assert transport.grpc_channel == channel
-    assert transport._host == "squid.clam.whelk:443"
-    assert transport._ssl_channel_credentials == None
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_client_cert_source(transport_class):
-    with mock.patch(
-        "grpc.ssl_channel_credentials", autospec=True
-    ) as grpc_ssl_channel_cred:
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_ssl_cred = mock.Mock()
-            grpc_ssl_channel_cred.return_value = mock_ssl_cred
-
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-
-            cred = ga_credentials.AnonymousCredentials()
-            with pytest.warns(DeprecationWarning):
-                with mock.patch.object(google.auth, "default") as adc:
-                    adc.return_value = (cred, None)
-                    transport = transport_class(
-                        host="squid.clam.whelk",
-                        api_mtls_endpoint="mtls.squid.clam.whelk",
-                        client_cert_source=client_cert_source_callback,
-                    )
-                    adc.assert_called_once()
-
-            grpc_ssl_channel_cred.assert_called_once_with(
-                certificate_chain=b"cert bytes", private_key=b"key bytes"
-            )
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-            assert transport._ssl_channel_credentials == mock_ssl_cred
-
-
-# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
-# removed from grpc/grpc_asyncio transport constructor.
-@pytest.mark.parametrize(
-    "transport_class",
-    [transports.SpeechGrpcTransport, transports.SpeechGrpcAsyncIOTransport],
-)
-def test_speech_transport_channel_mtls_with_adc(transport_class):
-    mock_ssl_cred = mock.Mock()
-    with mock.patch.multiple(
-        "google.auth.transport.grpc.SslCredentials",
-        __init__=mock.Mock(return_value=None),
-        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
-    ):
-        with mock.patch.object(
-            transport_class, "create_channel"
-        ) as grpc_create_channel:
-            mock_grpc_channel = mock.Mock()
-            grpc_create_channel.return_value = mock_grpc_channel
-            mock_cred = mock.Mock()
-
-            with pytest.warns(DeprecationWarning):
-                transport = transport_class(
-                    host="squid.clam.whelk",
-                    credentials=mock_cred,
-                    api_mtls_endpoint="mtls.squid.clam.whelk",
-                    client_cert_source=None,
-                )
-
-            grpc_create_channel.assert_called_once_with(
-                "mtls.squid.clam.whelk:443",
-                credentials=mock_cred,
-                credentials_file=None,
-                scopes=None,
-                ssl_credentials=mock_ssl_cred,
-                quota_project_id=None,
-                options=[
-                    ("grpc.max_send_message_length", -1),
-                    ("grpc.max_receive_message_length", -1),
-                ],
-            )
-            assert transport.grpc_channel == mock_grpc_channel
-
-
-def test_speech_grpc_lro_client():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_speech_grpc_lro_async_client():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    transport = client.transport
-
-    # Ensure that we have a api-core operations client.
-    assert isinstance(
-        transport.operations_client,
-        operations_v1.OperationsAsyncClient,
-    )
-
-    # Ensure that subsequent calls to the property send the exact same object.
-    assert transport.operations_client is transport.operations_client
-
-
-def test_config_path():
-    project = "squid"
-    location = "clam"
-    expected = "projects/{project}/locations/{location}/config".format(
-        project=project,
-        location=location,
-    )
-    actual = SpeechClient.config_path(project, location)
-    assert expected == actual
-
-
-def test_parse_config_path():
-    expected = {
-        "project": "whelk",
-        "location": "octopus",
-    }
-    path = SpeechClient.config_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_config_path(path)
-    assert expected == actual
-
-
-def test_crypto_key_path():
-    project = "oyster"
-    location = "nudibranch"
-    key_ring = "cuttlefish"
-    crypto_key = "mussel"
-    expected = "projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}".format(
-        project=project,
-        location=location,
-        key_ring=key_ring,
-        crypto_key=crypto_key,
-    )
-    actual = SpeechClient.crypto_key_path(project, location, key_ring, crypto_key)
-    assert expected == actual
-
-
-def test_parse_crypto_key_path():
-    expected = {
-        "project": "winkle",
-        "location": "nautilus",
-        "key_ring": "scallop",
-        "crypto_key": "abalone",
-    }
-    path = SpeechClient.crypto_key_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_crypto_key_path(path)
-    assert expected == actual
-
-
-def test_crypto_key_version_path():
-    project = "squid"
-    location = "clam"
-    key_ring = "whelk"
-    crypto_key = "octopus"
-    crypto_key_version = "oyster"
-    expected = "projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}/cryptoKeyVersions/{crypto_key_version}".format(
-        project=project,
-        location=location,
-        key_ring=key_ring,
-        crypto_key=crypto_key,
-        crypto_key_version=crypto_key_version,
-    )
-    actual = SpeechClient.crypto_key_version_path(
-        project, location, key_ring, crypto_key, crypto_key_version
-    )
-    assert expected == actual
-
-
-def test_parse_crypto_key_version_path():
-    expected = {
-        "project": "nudibranch",
-        "location": "cuttlefish",
-        "key_ring": "mussel",
-        "crypto_key": "winkle",
-        "crypto_key_version": "nautilus",
-    }
-    path = SpeechClient.crypto_key_version_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_crypto_key_version_path(path)
-    assert expected == actual
-
-
-def test_custom_class_path():
-    project = "scallop"
-    location = "abalone"
-    custom_class = "squid"
-    expected = (
-        "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
-            project=project,
-            location=location,
-            custom_class=custom_class,
-        )
-    )
-    actual = SpeechClient.custom_class_path(project, location, custom_class)
-    assert expected == actual
-
-
-def test_parse_custom_class_path():
-    expected = {
-        "project": "clam",
-        "location": "whelk",
-        "custom_class": "octopus",
-    }
-    path = SpeechClient.custom_class_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_custom_class_path(path)
-    assert expected == actual
-
-
-def test_phrase_set_path():
-    project = "oyster"
-    location = "nudibranch"
-    phrase_set = "cuttlefish"
-    expected = "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
-        project=project,
-        location=location,
-        phrase_set=phrase_set,
-    )
-    actual = SpeechClient.phrase_set_path(project, location, phrase_set)
-    assert expected == actual
-
-
-def test_parse_phrase_set_path():
-    expected = {
-        "project": "mussel",
-        "location": "winkle",
-        "phrase_set": "nautilus",
-    }
-    path = SpeechClient.phrase_set_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_phrase_set_path(path)
-    assert expected == actual
-
-
-def test_recognizer_path():
-    project = "scallop"
-    location = "abalone"
-    recognizer = "squid"
-    expected = (
-        "projects/{project}/locations/{location}/recognizers/{recognizer}".format(
-            project=project,
-            location=location,
-            recognizer=recognizer,
-        )
-    )
-    actual = SpeechClient.recognizer_path(project, location, recognizer)
-    assert expected == actual
-
-
-def test_parse_recognizer_path():
-    expected = {
-        "project": "clam",
-        "location": "whelk",
-        "recognizer": "octopus",
-    }
-    path = SpeechClient.recognizer_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_recognizer_path(path)
-    assert expected == actual
-
-
-def test_common_billing_account_path():
-    billing_account = "oyster"
-    expected = "billingAccounts/{billing_account}".format(
-        billing_account=billing_account,
-    )
-    actual = SpeechClient.common_billing_account_path(billing_account)
-    assert expected == actual
-
-
-def test_parse_common_billing_account_path():
-    expected = {
-        "billing_account": "nudibranch",
-    }
-    path = SpeechClient.common_billing_account_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_billing_account_path(path)
-    assert expected == actual
-
-
-def test_common_folder_path():
-    folder = "cuttlefish"
-    expected = "folders/{folder}".format(
-        folder=folder,
-    )
-    actual = SpeechClient.common_folder_path(folder)
-    assert expected == actual
-
-
-def test_parse_common_folder_path():
-    expected = {
-        "folder": "mussel",
-    }
-    path = SpeechClient.common_folder_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_folder_path(path)
-    assert expected == actual
-
-
-def test_common_organization_path():
-    organization = "winkle"
-    expected = "organizations/{organization}".format(
-        organization=organization,
-    )
-    actual = SpeechClient.common_organization_path(organization)
-    assert expected == actual
-
-
-def test_parse_common_organization_path():
-    expected = {
-        "organization": "nautilus",
-    }
-    path = SpeechClient.common_organization_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_organization_path(path)
-    assert expected == actual
-
-
-def test_common_project_path():
-    project = "scallop"
-    expected = "projects/{project}".format(
-        project=project,
-    )
-    actual = SpeechClient.common_project_path(project)
-    assert expected == actual
-
-
-def test_parse_common_project_path():
-    expected = {
-        "project": "abalone",
-    }
-    path = SpeechClient.common_project_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_project_path(path)
-    assert expected == actual
-
-
-def test_common_location_path():
-    project = "squid"
-    location = "clam"
-    expected = "projects/{project}/locations/{location}".format(
-        project=project,
-        location=location,
-    )
-    actual = SpeechClient.common_location_path(project, location)
-    assert expected == actual
-
-
-def test_parse_common_location_path():
-    expected = {
-        "project": "whelk",
-        "location": "octopus",
-    }
-    path = SpeechClient.common_location_path(**expected)
-
-    # Check that the path construction is reversible.
-    actual = SpeechClient.parse_common_location_path(path)
-    assert expected == actual
-
-
-def test_client_with_default_client_info():
-    client_info = gapic_v1.client_info.ClientInfo()
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-    with mock.patch.object(
-        transports.SpeechTransport, "_prep_wrapped_messages"
-    ) as prep:
-        transport_class = SpeechClient.get_transport_class()
-        transport = transport_class(
-            credentials=ga_credentials.AnonymousCredentials(),
-            client_info=client_info,
-        )
-        prep.assert_called_once_with(client_info)
-
-
-@pytest.mark.asyncio
-async def test_transport_close_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="grpc_asyncio",
-    )
-    with mock.patch.object(
-        type(getattr(client.transport, "grpc_channel")), "close"
-    ) as close:
-        async with client:
-            close.assert_not_called()
-        close.assert_called_once()
-
-
-def test_get_location_rest_bad_request(
-    transport: str = "rest", request_type=locations_pb2.GetLocationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict(
-        {"name": "projects/sample1/locations/sample2"}, request
-    )
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_location(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        locations_pb2.GetLocationRequest,
-        dict,
-    ],
-)
-def test_get_location_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = locations_pb2.Location()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_location(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-
-def test_list_locations_rest_bad_request(
-    transport: str = "rest", request_type=locations_pb2.ListLocationsRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict({"name": "projects/sample1"}, request)
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_locations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        locations_pb2.ListLocationsRequest,
-        dict,
-    ],
-)
-def test_list_locations_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = locations_pb2.ListLocationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_locations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-
-def test_cancel_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.CancelOperationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict(
-        {"name": "projects/sample1/locations/sample2/operations/sample3"}, request
-    )
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.cancel_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.CancelOperationRequest,
-        dict,
-    ],
-)
-def test_cancel_operation_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1/locations/sample2/operations/sample3"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = "{}"
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.cancel_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.DeleteOperationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict(
-        {"name": "projects/sample1/locations/sample2/operations/sample3"}, request
-    )
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.delete_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.DeleteOperationRequest,
-        dict,
-    ],
-)
-def test_delete_operation_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1/locations/sample2/operations/sample3"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = None
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = "{}"
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.delete_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_get_operation_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.GetOperationRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict(
-        {"name": "projects/sample1/locations/sample2/operations/sample3"}, request
-    )
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.get_operation(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.GetOperationRequest,
-        dict,
-    ],
-)
-def test_get_operation_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1/locations/sample2/operations/sample3"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.Operation()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.get_operation(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_list_operations_rest_bad_request(
-    transport: str = "rest", request_type=operations_pb2.ListOperationsRequest
-):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    request = request_type()
-    request = json_format.ParseDict(
-        {"name": "projects/sample1/locations/sample2"}, request
-    )
-
-    # Mock the http request call within the method and fake a BadRequest error.
-    with mock.patch.object(Session, "request") as req, pytest.raises(
-        core_exceptions.BadRequest
-    ):
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 400
-        response_value.request = Request()
-        req.return_value = response_value
-        client.list_operations(request)
-
-
-@pytest.mark.parametrize(
-    "request_type",
-    [
-        operations_pb2.ListOperationsRequest,
-        dict,
-    ],
-)
-def test_list_operations_rest(request_type):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport="rest",
-    )
-    request_init = {"name": "projects/sample1/locations/sample2"}
-    request = request_type(**request_init)
-    # Mock the http request call within the method and fake a response.
-    with mock.patch.object(type(client.transport._session), "request") as req:
-        # Designate an appropriate value for the returned response.
-        return_value = operations_pb2.ListOperationsResponse()
-
-        # Wrap the value into a proper Response obj
-        response_value = Response()
-        response_value.status_code = 200
-        json_return_value = json_format.MessageToJson(return_value)
-
-        response_value._content = json_return_value.encode("UTF-8")
-        req.return_value = response_value
-
-        response = client.list_operations(request)
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_delete_operation(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_delete_operation_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.DeleteOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_delete_operation_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = None
-
-        client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_delete_operation_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.DeleteOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.delete_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_delete_operation_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_delete_operation_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.delete_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_cancel_operation(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-        response = client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-@pytest.mark.asyncio
-async def test_cancel_operation_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.CancelOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert response is None
-
-
-def test_cancel_operation_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = None
-
-        client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_cancel_operation_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.CancelOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        await client.cancel_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_cancel_operation_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = None
-
-        response = client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_cancel_operation_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
-        response = await client.cancel_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_operation(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-        response = client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-@pytest.mark.asyncio
-async def test_get_operation_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.GetOperationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.Operation)
-
-
-def test_get_operation_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = operations_pb2.Operation()
-
-        client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_operation_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.GetOperationRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        await client.get_operation(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_get_operation_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.Operation()
-
-        response = client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_operation_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.Operation()
-        )
-        response = await client.get_operation(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_operations(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-        response = client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_operations_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = operations_pb2.ListOperationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, operations_pb2.ListOperationsResponse)
-
-
-def test_list_operations_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_operations_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = operations_pb2.ListOperationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        await client.list_operations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_operations_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = operations_pb2.ListOperationsResponse()
-
-        response = client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_operations_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            operations_pb2.ListOperationsResponse()
-        )
-        response = await client.list_operations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_list_locations(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-        response = client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-
-@pytest.mark.asyncio
-async def test_list_locations_async(transport: str = "grpc"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.ListLocationsRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.ListLocationsResponse)
-
-
-def test_list_locations_field_headers():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_list_locations_field_headers_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.ListLocationsRequest()
-    request.name = "locations"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        await client.list_locations(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations",
-    ) in kw["metadata"]
-
-
-def test_list_locations_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.ListLocationsResponse()
-
-        response = client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_list_locations_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.ListLocationsResponse()
-        )
-        response = await client.list_locations(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_get_location(transport: str = "grpc"):
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-        response = client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-
-@pytest.mark.asyncio
-async def test_get_location_async(transport: str = "grpc_asyncio"):
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-        transport=transport,
-    )
-
-    # Everything is optional in proto3 as far as the runtime is concerned,
-    # and we are mocking out the actual API, so just send an empty request.
-    request = locations_pb2.GetLocationRequest()
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the response is the type that we expect.
-    assert isinstance(response, locations_pb2.Location)
-
-
-def test_get_location_field_headers():
-    client = SpeechClient(credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = locations_pb2.Location()
-
-        client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations/abc",
-    ) in kw["metadata"]
-
-
-@pytest.mark.asyncio
-async def test_get_location_field_headers_async():
-    client = SpeechAsyncClient(credentials=ga_credentials.AnonymousCredentials())
-
-    # Any value that is part of the HTTP/1.1 URI should be sent as
-    # a field header. Set these to a non-empty value.
-    request = locations_pb2.GetLocationRequest()
-    request.name = "locations/abc"
-
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        await client.get_location(request)
-        # Establish that the underlying gRPC stub method was called.
-        assert len(call.mock_calls) == 1
-        _, args, _ = call.mock_calls[0]
-        assert args[0] == request
-
-    # Establish that the field header was sent.
-    _, _, kw = call.mock_calls[0]
-    assert (
-        "x-goog-request-params",
-        "name=locations/abc",
-    ) in kw["metadata"]
-
-
-def test_get_location_from_dict():
-    client = SpeechClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = locations_pb2.Location()
-
-        response = client.get_location(
-            request={
-                "name": "locations/abc",
-            }
-        )
-        call.assert_called()
-
-
-@pytest.mark.asyncio
-async def test_get_location_from_dict_async():
-    client = SpeechAsyncClient(
-        credentials=ga_credentials.AnonymousCredentials(),
-    )
-    # Mock the actual call within the gRPC stub, and fake the request.
-    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
-        # Designate an appropriate return value for the call.
-        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
-            locations_pb2.Location()
-        )
-        response = await client.get_location(
-            request={
-                "name": "locations",
-            }
-        )
-        call.assert_called()
-
-
-def test_transport_close():
-    transports = {
-        "rest": "_session",
-        "grpc": "_grpc_channel",
-    }
-
-    for transport, close_name in transports.items():
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        with mock.patch.object(
-            type(getattr(client.transport, close_name)), "close"
-        ) as close:
-            with client:
-                close.assert_not_called()
-            close.assert_called_once()
-
-
-def test_client_ctx():
-    transports = [
-        "rest",
-        "grpc",
-    ]
-    for transport in transports:
-        client = SpeechClient(
-            credentials=ga_credentials.AnonymousCredentials(), transport=transport
-        )
-        # Test client calls underlying transport.
-        with mock.patch.object(type(client.transport), "close") as close:
-            close.assert_not_called()
-            with client:
-                pass
-            close.assert_called()
-
-
-@pytest.mark.parametrize(
-    "client_class,transport_class",
-    [
-        (SpeechClient, transports.SpeechGrpcTransport),
-        (SpeechAsyncClient, transports.SpeechGrpcAsyncIOTransport),
-    ],
-)
-def test_api_key_credentials(client_class, transport_class):
-    with mock.patch.object(
-        google.auth._default, "get_api_key_credentials", create=True
-    ) as get_api_key_credentials:
-        mock_cred = mock.Mock()
-        get_api_key_credentials.return_value = mock_cred
-        options = client_options.ClientOptions()
-        options.api_key = "api_key"
-        with mock.patch.object(transport_class, "__init__") as patched:
-            patched.return_value = None
-            client = client_class(client_options=options)
-            patched.assert_called_once_with(
-                credentials=mock_cred,
-                credentials_file=None,
-                host=client.DEFAULT_ENDPOINT,
-                scopes=None,
-                client_cert_source_for_mtls=None,
-                quota_project_id=None,
-                client_info=transports.base.DEFAULT_CLIENT_INFO,
-                always_use_jwt_access=True,
-                api_audience=None,
-            )
diff --git a/tests/unit/test_helpers.py b/tests/unit/test_helpers.py
deleted file mode 100644
index 15357ef4..00000000
--- a/tests/unit/test_helpers.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-from types import GeneratorType
-
-from unittest import mock
-
-import google.auth.credentials
-from google.cloud.speech_v1 import SpeechClient
-from google.cloud.speech_v1 import types
-
-
-def make_speech_client():
-    credentials = mock.Mock(spec=google.auth.credentials.Credentials)
-    return SpeechClient(credentials=credentials)
-
-
-def test_streaming_recognize():
-    client = make_speech_client()
-
-    config = types.StreamingRecognitionConfig()
-    requests = [types.StreamingRecognizeRequest(audio_content=b"...")]
-    super_patch = mock.patch(
-        "google.cloud.speech_v1.services.speech.SpeechClient.streaming_recognize",
-        autospec=True,
-    )
-
-    with super_patch as streaming_recognize:
-        client.streaming_recognize(config, requests)
-
-    # Assert that we called streaming recognize with an iterable
-    # that evaluates to the correct format.
-    _, args, kwargs = streaming_recognize.mock_calls[0]
-    api_requests = kwargs["requests"]
-    assert isinstance(api_requests, GeneratorType)
-    assert list(api_requests) == [
-        {"streaming_config": config},
-        requests[0],
-    ]
-    assert "retry" in kwargs
-    assert "timeout" in kwargs