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infra: bump the dev-dependencies group across 1 directory with 16 updates #666

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@dependabot dependabot bot commented on behalf of github Jan 20, 2025

Updates the requirements on botocore, awscli, boto3, amazon-braket-pennylane-plugin, amazon-braket-schemas, jax, jaxlib, matplotlib, mistune, ml-dtypes, pennylane, pennylane-lightning, qiskit-aer, scipy, scs and sympy to permit the latest version.
Updates botocore from 1.35.76 to 1.36.2

Commits

Updates awscli from 1.36.17 to 1.37.2

Commits
  • 1b202e5 Merge branch 'release-1.37.2'
  • 3ee705b Bumping version to 1.37.2
  • 22bc2b9 Update changelog based on model updates
  • 4ec1256 Add API command examples for observabilityadmin service (#9116)
  • 0b073c0 Merge pull request #8936 from eltociear/patch-2
  • b28c582 Update HealthLake examples (#9096)
  • 79ae5e3 Merge branch 'release-1.37.1'
  • 600364b Merge branch 'release-1.37.1' into develop
  • bbc0b12 Bumping version to 1.37.1
  • 493f106 Update changelog based on model updates
  • Additional commits viewable in compare view

Updates boto3 from 1.35.76 to 1.36.2

Commits
  • 2d89f4d Merge branch 'release-1.36.2'
  • 3632dae Bumping version to 1.36.2
  • f47c6aa Add changelog entries from botocore
  • 9613882 Merge branch 'release-1.36.1'
  • 1753747 Merge branch 'release-1.36.1' into develop
  • b0198d1 Bumping version to 1.36.1
  • dd793dc Add changelog entries from botocore
  • e2b2df5 Merge branch 'release-1.36.0'
  • 2f9e01d Merge branch 'release-1.36.0' into develop
  • 80855f0 Bumping version to 1.36.0
  • Additional commits viewable in compare view

Updates amazon-braket-pennylane-plugin from 1.28.0 to 1.31.2

Release notes

Sourced from amazon-braket-pennylane-plugin's releases.

v1.31.2

Bug Fixes and Other Changes

  • Flatten observable before getting targets

v1.31.1

Bug Fixes and Other Changes

  • Pin PL <0.40

v1.31.0

Deprecations and Removals

  • remove legacy opmath

v1.30.2

Bug Fixes and Other Changes

  • Remove deprecated import path for QubitDevice

v1.30.1

Bug Fixes and Other Changes

  • onboard onto ruff

v1.30.0

Features

  • Device-specific supported observables

v1.29.0

Features

  • Support SProd and CompositeOp for expval

Documentation Changes

  • Fix typo in qml.var usage
Changelog

Sourced from amazon-braket-pennylane-plugin's changelog.

v1.31.2 (2025-01-16)

Bug Fixes and Other Changes

  • Flatten observable before getting targets

v1.31.1 (2025-01-15)

Bug Fixes and Other Changes

  • Pin PL <0.40

v1.31.0 (2024-12-03)

Deprecations and Removals

  • remove legacy opmath

v1.30.2 (2024-11-18)

Bug Fixes and Other Changes

  • Remove deprecated import path for QubitDevice

v1.30.1 (2024-09-19)

Bug Fixes and Other Changes

  • onboard onto ruff

v1.30.0 (2024-09-11)

Features

  • Device-specific supported observables

v1.29.0 (2024-09-09)

Features

  • Support SProd and CompositeOp for expval

Documentation Changes

  • Fix typo in qml.var usage
Commits
  • fd0a852 prepare release v1.31.2
  • 386985a fix: Flatten observable before getting targets (#287)
  • 2656be0 update development version to v1.31.2.dev0
  • f45d4a9 prepare release v1.31.1
  • ddf73a4 fix: Pin PL <0.40 (#286)
  • 0df30d8 update development version to v1.31.1.dev0
  • f0f963a prepare release v1.31.0
  • 1856182 depr: remove legacy opmath (#283)
  • 7578318 infra: bump codecov/codecov-action from 4 to 5 (#282)
  • bc901f9 infra: bump thehanimo/pr-title-checker from 1.4.2 to 1.4.3 (#284)
  • Additional commits viewable in compare view

Updates amazon-braket-schemas from 1.22.4 to 1.23.0

Release notes

Sourced from amazon-braket-schemas's releases.

v1.23.0

Features

  • add rigetti device properties v2 schemas
Changelog

Sourced from amazon-braket-schemas's changelog.

v1.23.0 (2025-01-15)

Features

  • add rigetti device properties v2 schemas
Commits

Updates jax from 0.4.29 to 0.5.0

Release notes

Sourced from jax's releases.

JAX v0.5.0

As of this release, JAX now uses effort-based versioning. Since this release makes a breaking change to PRNG key semantics that may require users to update their code, we are bumping the "meso" version of JAX to signify this.

  • Breaking changes

    • Enable jax_threefry_partitionable by default (see the update note).

    • This release drops support for Mac x86 wheels. Mac ARM of course remains supported. For a recent discussion, see Will macOS x86 still be supported for the next few years? jax-ml/jax#22936.

      Two key factors motivated this decision:

      • The Mac x86 build (only) has a number of test failures and crashes. We would prefer to ship no release than a broken release.
      • Mac x86 hardware is end-of-life and cannot be easily obtained for developers at this point. So it is difficult for us to fix this kind of problem even if we wanted to.

      We are open to readding support for Mac x86 if the community is willing to help support that platform: in particular, we would need the JAX test suite to pass cleanly on Mac x86 before we could ship releases again.

  • Changes:

    • The minimum NumPy version is now 1.25. NumPy 1.25 will remain the minimum supported version until June 2025.
    • The minimum SciPy version is now 1.11. SciPy 1.11 will remain the minimum supported version until June 2025.
    • jax.numpy.einsum now defaults to optimize='auto' rather than optimize='optimal'. This avoids exponentially-scaling trace-time in the case of many arguments ([#25214](https://github.com/jax-ml/jax/issues/25214)).
    • jax.numpy.linalg.solve no longer supports batched 1D arguments on the right hand side. To recover the previous behavior in these cases, use solve(a, b[..., None]).squeeze(-1).
  • New Features

    • jax.numpy.fft.fftn, jax.numpy.fft.rfftn, jax.numpy.fft.ifftn, and jax.numpy.fft.irfftn now support transforms in more than 3 dimensions, which was previously the limit. See [#25606](https://github.com/jax-ml/jax/issues/25606) for more details.
    • Support added for user defined state in the FFI via the new jax.ffi.register_ffi_type_id function.
    • The AOT lowering .as_text() method now supports the debug_info option to include debugging information, e.g., source location, in the output.
  • Deprecations

    • From jax.interpreters.xla, abstractify and pytype_aval_mappings are now deprecated, having been replaced by symbols of the same name in jax.core.

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.5.0 (Jan 17, 2025)

As of this release, JAX now uses effort-based versioning. Since this release makes a breaking change to PRNG key semantics that may require users to update their code, we are bumping the "meso" version of JAX to signify this.

  • Breaking changes

    • Enable jax_threefry_partitionable by default (see the update note).

    • This release drops support for Mac x86 wheels. Mac ARM of course remains supported. For a recent discussion, see Will macOS x86 still be supported for the next few years? jax-ml/jax#22936.

      Two key factors motivated this decision:

      • The Mac x86 build (only) has a number of test failures and crashes. We would prefer to ship no release than a broken release.
      • Mac x86 hardware is end-of-life and cannot be easily obtained for developers at this point. So it is difficult for us to fix this kind of problem even if we wanted to.

      We are open to readding support for Mac x86 if the community is willing to help support that platform: in particular, we would need the JAX test suite to pass cleanly on Mac x86 before we could ship releases again.

  • Changes:

    • The minimum NumPy version is now 1.25. NumPy 1.25 will remain the minimum supported version until June 2025.
    • The minimum SciPy version is now 1.11. SciPy 1.11 will remain the minimum supported version until June 2025.
    • {func}jax.numpy.einsum now defaults to optimize='auto' rather than optimize='optimal'. This avoids exponentially-scaling trace-time in the case of many arguments ({jax-issue}[#25214](https://github.com/jax-ml/jax/issues/25214)).
    • {func}jax.numpy.linalg.solve no longer supports batched 1D arguments on the right hand side. To recover the previous behavior in these cases, use solve(a, b[..., None]).squeeze(-1).
  • New Features

    • {func}jax.numpy.fft.fftn, {func}jax.numpy.fft.rfftn, {func}jax.numpy.fft.ifftn, and {func}jax.numpy.fft.irfftn now support transforms in more than 3 dimensions, which was previously the limit. See {jax-issue}[#25606](https://github.com/jax-ml/jax/issues/25606) for more details.
    • Support added for user defined state in the FFI via the new {func}jax.ffi.register_ffi_type_id function.
    • The AOT lowering .as_text() method now supports the debug_info option to include debugging information, e.g., source location, in the output.
  • Deprecations

... (truncated)

Commits
  • c25fb92 Release JAX 0.5.0
  • a527aba Reverts f1b894d14a28ac22a037fb79177b991275c75a18
  • ce85b89 [sharding_in_types] Error out for reshape for splits like this: (4, 6, 8) -...
  • 7cac76d Update XLA dependency to use revision
  • d3be190 [Mosaic GPU] Delete unused declarations of mosaic_gpu_memcpy_async_h2d.
  • d34c40f [mosaic_gpu] Added a serialization pass
  • af66719 [sharding_in_types] Rename .at[...].get(out_spec) to `.at[...].get(out_shar...
  • 97cd748 Rename out_type -> out_sharding parameter on einsum
  • 49224d6 Replace Auto/User/Collective AxisTypes names with Hidden/Visible/Collective.
  • bd22bfe [Mosaic TPU] Use large to compact 2nd minor retiling for conversions going bo...
  • Additional commits viewable in compare view

Updates jaxlib from 0.4.29 to 0.5.0

Release notes

Sourced from jaxlib's releases.

Jaxlib release v0.4.32

WARNING: This release has been yanked from PyPI because of a data corruption bug on TPU if there are multiple TPU slices in the job

Jaxlib release v0.4.31

No release notes provided.

Jaxlib release v0.4.30

No release notes provided.

Changelog

Sourced from jaxlib's changelog.

jax 0.5.0 (Jan 17, 2025)

As of this release, JAX now uses effort-based versioning. Since this release makes a breaking change to PRNG key semantics that may require users to update their code, we are bumping the "meso" version of JAX to signify this.

  • Breaking changes

    • Enable jax_threefry_partitionable by default (see the update note).

    • This release drops support for Mac x86 wheels. Mac ARM of course remains supported. For a recent discussion, see Will macOS x86 still be supported for the next few years? jax-ml/jax#22936.

      Two key factors motivated this decision:

      • The Mac x86 build (only) has a number of test failures and crashes. We would prefer to ship no release than a broken release.
      • Mac x86 hardware is end-of-life and cannot be easily obtained for developers at this point. So it is difficult for us to fix this kind of problem even if we wanted to.

      We are open to readding support for Mac x86 if the community is willing to help support that platform: in particular, we would need the JAX test suite to pass cleanly on Mac x86 before we could ship releases again.

  • Changes:

    • The minimum NumPy version is now 1.25. NumPy 1.25 will remain the minimum supported version until June 2025.
    • The minimum SciPy version is now 1.11. SciPy 1.11 will remain the minimum supported version until June 2025.
    • {func}jax.numpy.einsum now defaults to optimize='auto' rather than optimize='optimal'. This avoids exponentially-scaling trace-time in the case of many arguments ({jax-issue}[#25214](https://github.com/jax-ml/jax/issues/25214)).
    • {func}jax.numpy.linalg.solve no longer supports batched 1D arguments on the right hand side. To recover the previous behavior in these cases, use solve(a, b[..., None]).squeeze(-1).
  • New Features

    • {func}jax.numpy.fft.fftn, {func}jax.numpy.fft.rfftn, {func}jax.numpy.fft.ifftn, and {func}jax.numpy.fft.irfftn now support transforms in more than 3 dimensions, which was previously the limit. See {jax-issue}[#25606](https://github.com/jax-ml/jax/issues/25606) for more details.
    • Support added for user defined state in the FFI via the new {func}jax.ffi.register_ffi_type_id function.
    • The AOT lowering .as_text() method now supports the debug_info option to include debugging information, e.g., source location, in the output.
  • Deprecations

... (truncated)

Commits
  • c25fb92 Release JAX 0.5.0
  • a527aba Reverts f1b894d14a28ac22a037fb79177b991275c75a18
  • ce85b89 [sharding_in_types] Error out for reshape for splits like this: (4, 6, 8) -...
  • 7cac76d Update XLA dependency to use revision
  • d3be190 [Mosaic GPU] Delete unused declarations of mosaic_gpu_memcpy_async_h2d.
  • d34c40f [mosaic_gpu] Added a serialization pass
  • af66719 [sharding_in_types] Rename .at[...].get(out_spec) to `.at[...].get(out_shar...
  • 97cd748 Rename out_type -> out_sharding parameter on einsum
  • 49224d6 Replace Auto/User/Collective AxisTypes names with Hidden/Visible/Collective.
  • bd22bfe [Mosaic TPU] Use large to compact 2nd minor retiling for conversions going bo...
  • Additional commits viewable in compare view

Updates matplotlib from 3.9.3 to 3.10.0

Release notes

Sourced from matplotlib's releases.

REL: v3.10.0

Highlights of this release include:

- Preliminary support for free-threaded CPython 3.13
- New more-accessible color cycle
- Dark-mode diverging colormaps
- Exception handling control
- InsetIndicator artist
- FillBetweenPolyCollection
- Fill between 3D lines
- Data in 3D plots can now be dynamically clipped to the axes view limits
- Rotating 3d plots with the mouse
- Increased Figure limits with Agg renderer
- Subfigures no longer provisional
- Subfigures are now added in row-major order

Matplotlib v3.10.0rc1

This is the first release candidate for Matplotlib 3.10.0

REL: 3.9.4

This is the fourth bugfix release of the 3.9.x series.

This release contains two bug-fixes:

  • Fix toolbar icons in GTK backend
  • Fix Poly3DCollection initialization with list of lists
Commits
  • 8d64f03 REL: v3.10.0 release
  • d9dfee8 [doc] Fix dead links
  • 87a603f Update release notes for 3.10.0
  • cdecf97 Update github stats for 3.10
  • b8d19bd Merge pull request #29306 from meeseeksmachine/auto-backport-of-pr-29242-on-v...
  • a42d0ed Backport PR #29242: DOC: Add kwdoc list to scatter() docstring
  • 1900640 Merge pull request #29299 from QuLogic/merge-v39x
  • 815389c Merge branch 'v3.9.x' into v3.10.x
  • 73873c0 DOC: Create release notes for 3.9.4
  • 9d17a2b DOC: Add Zenodo DOI for 3.9.4
  • Additional commits viewable in compare view

Updates mistune from 3.0.2 to 3.1.0

Release notes

Sourced from mistune's releases.

v3.1.0

   🐞 Bug Fixes

    View changes on GitHub
Changelog

Sourced from mistune's changelog.

Version 3.1.0

Released on Dec 30, 2024

  • Fix only HTML-escape URLs when rendering to HTML
  • Add block_quote prefix on empty lines too
Commits
  • 177a0ce chore: release 3.1.0
  • bf54ef6 Merge pull request #390 from patrick91/patch-1
  • 498f0e8 Merge pull request #395 from mentalisttraceur/fix-url-ampersand
  • 77f925e Merge pull request #393 from mentalisttraceur/fix-codespan-ampersand
  • 4f91db8 fix: use correct importing for typing_extensions
  • f423704 fix: only HTML-escape URLs when rendering to HTML
  • 245c006 fix: only HTML-escape codespan in HTML render
  • 0772c78 fix: importing Self from typing_extensions
  • f7db503 fix: make typing-extension optional dependency
  • 6d04695 fix: cleanup unused imports
  • Additional commits viewable in compare view

Updates ml-dtypes from 0.5.0 to 0.5.1

Release notes

Sourced from ml-dtypes's releases.

v0.5.1 release

  • Fixed sign bit handling for float4 and float6 types.
  • Wheels now support Python 3.13 free-threading.
  • Wheels now support the Power architecture.
Changelog

Sourced from ml-dtypes's changelog.

[0.5.1] - 2025-01-06

  • Fixed sign bit handling for float4 and float6 types.
  • Wheels now support Python 3.13 free-threading.
  • Wheels now support the Power architecture.
Commits
  • 560866c Merge pull request #249 from hawkinsp:release
  • c26c582 Update changelog and version numbers for v0.5.1 release.
  • 47ac443 Merge pull request #248 from hawkinsp:ft
  • 19eea4d Enable free-threaded wheels in wheel builds.
  • 4da8594 Merge pull request #230 from sandeepgupta12:main
  • ee65f44 Merge pull request #247 from jax-ml:dependabot/github_actions/actions/upload-...
  • a09b65f PR #19096: Add F4E2M1FN and F8E8M0FNU types
  • 30c059a Bump actions/upload-artifact from 4.4.3 to 4.5.0
  • 986e373 PR #19096: Add F4E2M1FN and F8E8M0FNU types
  • 215c9f0 [XLA] Start adding S1 and U1 as data types
  • Additional commits viewable in compare view

Updates pennylane from 0.35.1 to 0.40.0

Release notes

Sourced from pennylane's releases.

Release 0.40.0

  • State preparation tailored for matrix product states (MPS) is now supported with :class:qml.MPSPrep <pennylane.MPSPrep> on the lightning.tensor device. [(#6431)](PennyLaneAI/pennylane#6431)

    Given a list of $n$ tensors that represents an MPS, $[A^{(0)}, ..., A^{(n-1)}]$, :class:qml.MPSPrep <pennylane.MPSPrep> lets you directly inject the MPS into a QNode as the initial state of the circuit without any need for pre-processing. The first and last tensors in the list must be rank-2, while all intermediate tensors should be rank-3.

    import pennylane as qml
    import numpy as np
    mps = [
    np.array([[0.0, 0.107], [0.994, 0.0]]),
    np.array(
    [
    [[0.0, 0.0, 0.0, -0.0], [1.0, 0.0, 0.0, -0.0]],
    [[0.0, 1.0, 0.0, -0.0], [0.0, 0.0, 0.0, -0.0]],
    ]
    ),
    np.array(
    [
    [[-1.0, 0.0], [0.0, 0.0]],
    [[0.0, 0.0], [0.0, 1.0]],
    [[0.0, -1.0], [0.0, 0.0]],
    [[0.0, 0.0], [1.0, 0.0]],
    ]
    ),
    np.array([[-1.0, -0.0], [-0.0, -1.0]]),
    ]
    dev = qml.device("lightning.tensor", wires = [0, 1, 2, 3])
    @​qml.qnode(dev)
    def circuit():
    qml.MPSPrep(mps, wires = [0,1,2])
    return qml.state()

    >>> print(circuit())
    [ 0.    +0.j  0.    +0.j  0.    +0.j -0.1066+0.j  0.    +0.j  0.    +0.j
      0.    +0.j  0.    +0.j  0.    +0.j  0.    +0.j  0.    +0.j  0.    +0.j
      0.9943+0.j  0.    +0.j  0.    +0.j  0.    +0.j]

    At this time, :class:qml.MPSPrep <pennylane.MPSPrep> is only supported on the lightning.tensor device.

  • Custom-made state preparation for linear combinations of quantum states is now available with :class:qml.Superposition <pennylane.Superposition>. [(#6670)](PennyLaneAI/pennylane#6670)

... (truncated)

Commits

Updates pennylane-lightning from 0.35.1 to 0.40.0

Release notes

Sourced from pennylane-lightning's releases.

Release 0.40.0

New features since last release

Breaking changes

Improvements

... (truncated)

Commits
  • f634c1e target PL at v0.40.0-rc0 in requirements-dev/tests
  • f8b265e Forked as v0.40.0_release to be released with tag v0.40.0.
  • f115714 Create v0.40.0 Doc branch (#1034)
  • c55e082 trigger TestPIPY
  • 87619f9 Automate aarch64-cuda-wheels tests (#1031)
  • 0be5674 upload artifact
  • 179f2da upload for validate
  • 5ffa681 RC PR creation
  • d8461f3 Add Python CUDA dependencies as Lightning-GPU and Lightning-Tensor wheel depe...
  • 87bcd10 Optimize lightning.tensor by adding direct MPS sites data set (#983)
  • Additional commits viewable in compare view

Updates qiskit-aer from 0.15.1 to 0.16.0

Release notes

Sourced from qiskit-aer's releases.

Release 0.16

Aer 0.16 is released to support Qiskit 1.3.

What's Changed

Full Changelog: Qiskit/qiskit-aer@0.15.1...0.16

Commits

Updates scipy from 1.13.1 to 1.15.1

Release notes

Sourced from scipy's releases.

SciPy 1.15.1 Release Notes

SciPy 1.15.1 is a bug-fix release with no new features compared to 1.15.0. Importantly, an issue with the import of scipy.optimize breaking other packages has been fixed.

Authors

  • Name (commits)
  • Ralf Gommers (3)
  • Rohit Goswami (1)
  • Matt Haberland (2)
  • Tyler Reddy (7)
  • Daniel Schmitz (1)

A total of 5 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

  • Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.
  • Sparse arrays now provide basic support for n-D arrays in the COO format

... (truncated)

Commits
  • df134ea REL: 1.15.1 rel commit [wheel build]
  • f939c19 Merge pull request #22296 from tylerjereddy/treddy_1.15.1_backports
  • 609bb3c DOC: PR 22296 revisions
  • 5bfd6a2 TST: stats.Normal: bump tolerance on test of logcdf (#22276)
  • f9a549c DOC: update 1.15.1 relnotes
  • 6f011d8 MAINT: Update highs subproject commit
  • 0ff01de TST: fix thread safety issue in interpolate.bsplines memmap test
  • 21c65ab BLD: fix some issues with undeclared internal build dependencies
  • 826759e MAINT: fix url for array-api-extra git submodule
  • 9af1fcd Merge pull request #22235 from tylerjereddy/treddy_prep_1.15.1
  • Additional commits viewable in compare view

Updates scs to 3.2.7.post2

Commits

Updates sympy to 1.13.3

Commits
  • b4ce69a Merge pull request #27081 from oscarbenjamin/pr_113_backport_fixes
  • 575dbfa author: update AUTHORS file
  • 408b571 author: add Matt Wang to .mailmap
  • 77fffbf remove unnecessary parentheses in func role from docstring
  • 2101e6d remove unnecessary parentheses in func role from doc
  • 09f4810 maint(ci): don't use ruff to check files outside sympy
  • 31623f0 relea...

    Description has been truncated

…ates

Updates the requirements on [botocore](https://github.com/boto/botocore), [awscli](https://github.com/aws/aws-cli), [boto3](https://github.com/boto/boto3), [amazon-braket-pennylane-plugin](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python), [amazon-braket-schemas](https://github.com/amazon-braket/amazon-braket-schemas-python), [jax](https://github.com/jax-ml/jax), [jaxlib](https://github.com/jax-ml/jax), [matplotlib](https://github.com/matplotlib/matplotlib), [mistune](https://github.com/lepture/mistune), [ml-dtypes](https://github.com/jax-ml/ml_dtypes), [pennylane](https://github.com/PennyLaneAI/pennylane), [pennylane-lightning](https://github.com/PennyLaneAI/pennylane-lightning), [qiskit-aer](https://github.com/Qiskit/qiskit-aer), [scipy](https://github.com/scipy/scipy), [scs](https://github.com/cvxgrp/scs) and [sympy](https://github.com/sympy/sympy) to permit the latest version.

Updates `botocore` from 1.35.76 to 1.36.2
- [Commits](boto/botocore@1.35.76...1.36.2)

Updates `awscli` from 1.36.17 to 1.37.2
- [Release notes](https://github.com/aws/aws-cli/releases)
- [Commits](aws/aws-cli@1.36.17...1.37.2)

Updates `boto3` from 1.35.76 to 1.36.2
- [Release notes](https://github.com/boto/boto3/releases)
- [Commits](boto/boto3@1.35.76...1.36.2)

Updates `amazon-braket-pennylane-plugin` from 1.28.0 to 1.31.2
- [Release notes](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python/releases)
- [Changelog](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python/blob/main/CHANGELOG.md)
- [Commits](amazon-braket/amazon-braket-pennylane-plugin-python@v1.28.0...v1.31.2)

Updates `amazon-braket-schemas` from 1.22.4 to 1.23.0
- [Release notes](https://github.com/amazon-braket/amazon-braket-schemas-python/releases)
- [Changelog](https://github.com/amazon-braket/amazon-braket-schemas-python/blob/main/CHANGELOG.md)
- [Commits](amazon-braket/amazon-braket-schemas-python@v1.22.4...v1.23.0)

Updates `jax` from 0.4.29 to 0.5.0
- [Release notes](https://github.com/jax-ml/jax/releases)
- [Changelog](https://github.com/jax-ml/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jax-v0.4.29...jax-v0.5.0)

Updates `jaxlib` from 0.4.29 to 0.5.0
- [Release notes](https://github.com/jax-ml/jax/releases)
- [Changelog](https://github.com/jax-ml/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jaxlib-v0.4.29...jax-v0.5.0)

Updates `matplotlib` from 3.9.3 to 3.10.0
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.3...v3.10.0)

Updates `mistune` from 3.0.2 to 3.1.0
- [Release notes](https://github.com/lepture/mistune/releases)
- [Changelog](https://github.com/lepture/mistune/blob/master/docs/changes.rst)
- [Commits](lepture/mistune@v3.0.2...v3.1.0)

Updates `ml-dtypes` from 0.5.0 to 0.5.1
- [Release notes](https://github.com/jax-ml/ml_dtypes/releases)
- [Changelog](https://github.com/jax-ml/ml_dtypes/blob/main/CHANGELOG.md)
- [Commits](jax-ml/ml_dtypes@v0.5.0...v0.5.1)

Updates `pennylane` from 0.35.1 to 0.40.0
- [Release notes](https://github.com/PennyLaneAI/pennylane/releases)
- [Commits](PennyLaneAI/pennylane@v0.35.1...v0.40.0)

Updates `pennylane-lightning` from 0.35.1 to 0.40.0
- [Release notes](https://github.com/PennyLaneAI/pennylane-lightning/releases)
- [Commits](PennyLaneAI/pennylane-lightning@v0.35.1...v0.40.0)

Updates `qiskit-aer` from 0.15.1 to 0.16.0
- [Release notes](https://github.com/Qiskit/qiskit-aer/releases)
- [Commits](Qiskit/qiskit-aer@0.15.1...0.16)

Updates `scipy` from 1.13.1 to 1.15.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.13.1...v1.15.1)

Updates `scs` to 3.2.7.post2
- [Release notes](https://github.com/cvxgrp/scs/releases)
- [Commits](https://github.com/cvxgrp/scs/commits)

Updates `sympy` to 1.13.3
- [Release notes](https://github.com/sympy/sympy/releases)
- [Commits](sympy/sympy@sympy-0.5.0...sympy-1.13.3)

---
updated-dependencies:
- dependency-name: botocore
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: awscli
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: boto3
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: amazon-braket-pennylane-plugin
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: amazon-braket-schemas
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: jax
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: jaxlib
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: matplotlib
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: mistune
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: ml-dtypes
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: pennylane
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: pennylane-lightning
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: qiskit-aer
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: scs
  dependency-type: direct:production
  dependency-group: dev-dependencies
- dependency-name: sympy
  dependency-type: direct:production
  dependency-group: dev-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from a team as a code owner January 20, 2025 18:58
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jan 20, 2025
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