mirror of
https://github.com/google-deepmind/alphafold.git
synced 2026-06-04 14:58:05 +08:00
Use pytest for testing instead of setup.py test
PiperOrigin-RevId: 789706772 Change-Id: Id4d58250e03bc41ab7d9a90c3d569266cb2db4ad
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Copybara-Service
parent
e9b68483fc
commit
b1d8619675
@@ -14,6 +14,7 @@
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"""Tests for notebook_utils."""
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import io
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from unittest import mock
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from absl.testing import absltest
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from absl.testing import parameterized
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@@ -21,7 +22,6 @@ from alphafold.data import parsers
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from alphafold.data import templates
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from alphafold.notebooks import notebook_utils
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import mock
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import numpy as np
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30
conftest.py
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30
conftest.py
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@@ -0,0 +1,30 @@
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# Copyright 2025 DeepMind Technologies Limited
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Fixture for pytest.
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This is needed to parse the absl flags before running the test.
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"""
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import sys
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from absl import flags
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import pytest
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@pytest.fixture(scope="session", autouse=True)
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def initialize_absl_flags(request):
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del request
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# Parse any flags that make sense to absl as absl flags.
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flags.FLAGS(sys.argv, known_only=True)
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@@ -6,9 +6,11 @@ dm-tree==0.1.8
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docker==5.0.0
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immutabledict==2.0.0
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jax==0.4.26
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matplotlib==3.8.0
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ml-collections==0.1.0
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numpy==1.24.3
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pandas==2.0.3
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setuptools<72.0.0
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pytest<8.5.0
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scipy==1.11.1
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setuptools<72.0.0
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tensorflow-cpu==2.16.1
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@@ -12,15 +12,13 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for run_alphafold."""
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import json
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import os
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from unittest import mock
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from absl.testing import absltest
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from absl.testing import parameterized
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import run_alphafold
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import mock
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import numpy as np
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# Internal import (7716).
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6
setup.py
6
setup.py
@@ -39,16 +39,14 @@ setup(
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'docker',
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'immutabledict',
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'jax',
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'matplotlib',
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'ml-collections',
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'numpy',
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'pandas',
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'pytest',
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'scipy',
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'tensorflow-cpu',
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],
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tests_require=[
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'matplotlib', # For notebook_utils_test.
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'mock',
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],
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classifiers=[
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'Development Status :: 5 - Production/Stable',
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'Intended Audience :: Science/Research',
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