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Merge pull request #13 from data-apis/ci
Add GitHub Actions CI
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‎.github/workflows/array-api-tests.yml

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name: Array API Tests
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on: [push, pull_request]
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env:
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PYTEST_ARGS: "--max-examples 200 -v -rxXfE --ci"
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jobs:
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tests:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.8', '3.9', '3.10', '3.11']
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steps:
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- name: Checkout array-api-compat
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uses: actions/checkout@v3
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with:
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path: array-api-compat
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- name: Checkout array-api-tests
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uses: actions/checkout@v3
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with:
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# repository: data-apis/array-api-tests
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submodules: 'true'
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path: array-api-tests
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# Temporarily use https://github.com/data-apis/array-api-tests/pull/157
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repository: asmeurer/array-api-tests
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ref: xfails-file
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v1
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install numpy
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python -m pip install -r ${GITHUB_WORKSPACE}/array-api-tests/requirements.txt
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- name: Run the array API testsuite (NumPy)
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env:
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ARRAY_API_TESTS_MODULE: array_api_compat.numpy
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# This enables the NEP 50 type promotion behavior (without it a lot of
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# tests fail on bad scalar type promotion behavior)
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NPY_PROMOTION_STATE: weak
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run: |
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export PYTHONPATH="${GITHUB_WORKSPACE}/array-api-compat"
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cd ${GITHUB_WORKSPACE}/array-api-tests
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pytest ${PYTEST_ARGS} --xfails-file ${GITHUB_WORKSPACE}/array-api-compat/numpy-xfails.txt array_api_tests/

‎.github/workflows/tests.yml

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name: Tests
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on: [push, pull_request]
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jobs:
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tests:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.8', '3.9', '3.10', '3.11']
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fail-fast: true
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steps:
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- uses: actions/checkout@v2
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- uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install pytest numpy
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- name: Run Tests
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run: |
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pytest
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# Make sure it installs
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python setup.py install

‎numpy-xfails.txt

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# asarray(copy=False) is not yet implemented
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array_api_tests/test_creation_functions.py::test_asarray_arrays
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# finfo(float32).eps returns float32 but should return float
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array_api_tests/test_data_type_functions.py::test_finfo[float32]
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# Array methods and attributes not already on np.ndarray cannot be wrapped
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array_api_tests/test_has_names.py::test_has_names[array_method-__array_namespace__]
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array_api_tests/test_has_names.py::test_has_names[array_method-to_device]
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array_api_tests/test_has_names.py::test_has_names[array_attribute-device]
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array_api_tests/test_has_names.py::test_has_names[array_attribute-mT]
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# linalg tests require https://github.com/data-apis/array-api-tests/pull/101
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# cleanups. Also some tests are using .mT
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array_api_tests/test_linalg.py::test_eigvalsh
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array_api_tests/test_linalg.py::test_solve
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array_api_tests/test_linalg.py::test_trace
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# Array methods and attributes not already on np.ndarray cannot be wrapped
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array_api_tests/test_signatures.py::test_array_method_signature[__array_namespace__]
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array_api_tests/test_signatures.py::test_array_method_signature[to_device]
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# NumPy deviates in some special cases for floordiv
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array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0]
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array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0]
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array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0]
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array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0]
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# https://github.com/numpy/numpy/issues/21213
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array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity]
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array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0]
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array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity]
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array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0]
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array_api_tests/meta/test_hypothesis_helpers.py::test_symmetric_matrices

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