Randomize version of dependencies (python-graphblas#368)

* Randomize version of dependencies

* Update min versions for networkx and numpy

* Don't randomize numpy version yet; issues with installing from source/upstream

* min versions for pandas, scipy, donfig

* Aha! We actually need scipy >=1.8

* Sometimes don't specify version of numpy, pandas, or scipy

* awkward >=1.9

* numba>=0.55 pyyaml>=5.4

.github/workflows/test_and_build.yml

@@ -126,9 +126,48 @@ jobs:
         run: |
           # Install dependencies based on the needs of the job.
           # Don't panic! This may look scary at a glance, but each line makes sense.
+          #
+          # First let's randomly get versions of dependencies to install
+          nxver=$(python -c 'import random ; print(random.choice(["=2.7", "=2.8", "=3.0", ""]))')
+          yamlver=$(python -c 'import random ; print(random.choice(["=5.4", "=6.0", ""]))')
+          if [[ ${{ steps.pyver.outputs.selected }} == "3.8" ]]; then
+            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
+            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
+            pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
+            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
+          elif [[ ${{ steps.pyver.outputs.selected }} == "3.9" ]]; then
+            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
+            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
+            pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
+            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
+          elif [[ ${{ steps.pyver.outputs.selected }} == "3.10" ]]; then
+            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
+            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
+            pdver=$(python -c 'import random ; print(random.choice(["=1.3", "=1.4", "=1.5", ""]))')
+            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
+          else  # Python 3.11
+            npver=$(python -c 'import random ; print(random.choice(["=1.23", ""]))')
+            spver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", ""]))')
+            pdver=$(python -c 'import random ; print(random.choice(["=1.5", ""]))')
+            akver=$(python -c 'import random ; print(random.choice(["=1.10", "=2.0", ""]))')
+          fi
+          if [[ ${{ steps.sourcetype.outputs.selected }} == "source" || ${{ steps.sourcetype.outputs.selected }} == "upstream" ]]; then
+            # TODO: there are currently issues with some numpy versions when
+            # installing python-suitesparse-grphblas from source or upstream.
+            npver=""
+            spver=""
+            pdver=""
+          fi
+          if [[ $npver == "=1.21" ]] ; then
+            numbaver=$(python -c 'import random ; print(random.choice(["=0.55", "=0.56", ""]))')
+          else
+            numbaver=$(python -c 'import random ; print(random.choice(["=0.56", ""]))')
+          fi
+          echo "versions: np${npver} sp${spver} pd${pdver} ak${akver} nx${nxver} numba${numbaver} yaml${yamlver}"
+
           # Once we have wheels for all OSes, we can delete the last two lines.
-          mamba install pytest coverage coveralls=3.3.1 pytest-randomly \
-            pandas numba scipy networkx cffi donfig pyyaml awkward \
+          mamba install pytest coverage coveralls=3.3.1 pytest-randomly cffi donfig pyyaml${yamlver} \
+            pandas${pdver} scipy${spver} numpy${npver} awkward${akver} networkx${nxver} numba${numbaver} \
             ${{ matrix.slowtask == 'pylint' && 'black pylint' || '' }} \
             ${{ matrix.slowtask == 'notebooks' && 'matplotlib nbconvert jupyter "ipython>=7"' || '' }} \
             ${{ steps.sourcetype.outputs.selected == 'upstream' && 'cython' || '' }} \

graphblas/io.py

@@ -382,7 +382,7 @@ def to_awkward(A, format=None):
     awkward.Array
 
     """
-    try:  # pragma: no cover (import)
+    try:
         # awkward version 1
         import awkward._v2 as ak
         from awkward._v2.forms.listoffsetform import ListOffsetForm

scripts/check_versions.sh

@@ -0,0 +1,12 @@
+#!/usr/bin/env bash
+# Simple helper to check versions of dependencies.
+# Use, adjust, copy/paste, etc. as necessary to answer your questions.
+# This may be helpful when updating dependency versions in CI.
+# Tip: add `--json` for more information.
+conda search 'numpy[channel=conda-forge]>=1.24.1'
+conda search 'pandas[channel=conda-forge]>=1.5.2'
+conda search 'scipy[channel=conda-forge]>=1.10.0'
+conda search 'networkx[channel=conda-forge]>=3.0'
+conda search 'awkward[channel=conda-forge]>=2.0.5'
+conda search 'numba[channel=conda-forge]>=0.56.4'
+conda search 'pyyaml[channel=conda-forge]>=6.0'

setup.py

@@ -1,10 +1,10 @@
 from setuptools import find_packages, setup
 
 extras_require = {
-    "repr": ["pandas"],
-    "io": ["networkx", "scipy >=1.7.0", "awkward"],
+    "repr": ["pandas >=1.2"],
+    "io": ["networkx >=2.8", "scipy >=1.8", "awkward >=1.9"],
     "viz": ["matplotlib"],
-    "test": ["pytest", "pandas", "scipy >=1.7.0"],
+    "test": ["pytest", "pandas >=1.2", "scipy >=1.8"],
 }
 extras_require["complete"] = sorted({v for req in extras_require.values() for v in req})
 
@@ -24,7 +24,13 @@
     url="https://github.com/python-graphblas/python-graphblas",
     packages=find_packages(),
     python_requires=">=3.8",
-    install_requires=["suitesparse-graphblas >=7.4.0.0, <7.5", "numba", "donfig", "pyyaml"],
+    install_requires=[
+        "suitesparse-graphblas >=7.4.0.0, <7.5",
+        "numpy >=1.21",
+        "numba >=0.55",
+        "donfig >=0.6",
+        "pyyaml >=5.4",
+    ],
     extras_require=extras_require,
     include_package_data=True,
     license="Apache License 2.0",