Bump actions/setup-python from 1 to 4

[dependabot]

Bumps actions/setup-python from 1 to 4.

Release notes

Sourced from actions/setup-python's releases.

v4.0.0

What's Changed

• Support for python-version-file input: #336

Example of usage:

- uses: actions/setup-python@v4
  with:
    python-version-file: '.python-version' # Read python version from a file
- run: python my_script.py

There is no default python version for this setup-python major version, the action requires to specify either python-version input or python-version-file input. If the python-version input is not specified the action will try to read required version from file from python-version-file input.

• Use pypyX.Y for PyPy python-version input: #349

Example of usage:

- uses: actions/setup-python@v4
  with:
    python-version: 'pypy3.9' # pypy-X.Y kept for backward compatibility
- run: python my_script.py

• RUNNER_TOOL_CACHE environment variable is equal AGENT_TOOLSDIRECTORY: #338

• Bugfix: create missing pypyX.Y symlinks: #347

• PKG_CONFIG_PATH environment variable: #400

• Added python-path output: #405 python-path output contains Python executable path.

• Updated zeit/ncc to vercel/ncc package: #393

• Bugfix: fixed output for prerelease version of poetry: #409

• Made pythonLocation environment variable consistent for Python and PyPy: #418

• Bugfix for 3.x-dev syntax: #417

• Other improvements: #318 #396 #384 #387 #388

v3.1.4

What's Changed

In the scope of this patch release, the warning for deprecating Python 2.x was added in actions/setup-python#674 by @​dmitry-shibanov

For more information, check out actions/setup-python#672

... (truncated)

Commits

• 61a6322 Fix typos found by codespell (#650)
• ea5b57f Bump semver from 7.3.8 to 7.5.2 (#692)
• 014d32a Bump tough-cookie and @​azure/ms-rest-js (#697)
• c16c4b8 Fix pipenv jobs (#699)
• 0d5da6a Read python version from pyproject.toml (fix #542) (#669)
• 3f824b7 remove python 2.7 from the tests (#687)
• bd6b4b6 Add warning for python 2.7 (#673)
• 0cbcb9a Merge pull request #668 from akv-platform/disallow-implicit-dependencies
• 669664d Merge branch 'tool-config-auto-update' into disallow-implicit-dependencies
• 9cbf792 Update configuration files
• Additional commits viewable in compare view

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[dependabot]

The following labels could not be found: github-actions, dependencies.

[rgommers]

This is a dont-care, but may as well get it in.

[rgommers]

It did show one failure, which is clearly unrelated to this PR but of interest:

FAILED array_api_tests/test_operators_and_elementwise_functions.py::test_multiply[__imul__(x1, x2)] - AssertionError: x1=(-5+92034536j), but should be roughly (x1 * x2)=(-3+92034537j) [__imul__()]
  x1=(15339089+15339090j), x2=(3+3j)
assert False
 +  where False = isclose(-5.0, -3.0, 3.4028234663852886e+38)
 +    where -5.0 = (-5+92034536j).real
 +    and   -3.0 = (-3+92034537j).real
Falsifying example: test_multiply(
    ctx=BinaryParamContext(<__imul__(x1, x2)>),
    data=data(...),
)
Draw 1 (x1): tensor(15339089.+15339090.j)
Draw 2 (x2): tensor(3.+3.j)

You can reproduce this example by temporarily adding @reproduce_failure('6.86.1', b'AXicY2eAgVd8gQhmEAMCMCMzAVPvAqE=') as a decorator on your test case

_______________________ test_multiply[__imul__(x1, x2)] ________________________

ctx = BinaryParamContext(<__imul__(x1, x2)>)

    @pytest.mark.parametrize("ctx", make_binary_params("multiply", dh.numeric_dtypes))
>   @given(data=st.data())

array_api_tests/test_operators_and_elementwise_functions.py:1254: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
array_api_tests/test_operators_and_elementwise_functions.py:1263: in test_multiply
    binary_param_assert_against_refimpl(ctx, left, right, res, "*", operator.mul)
array_api_tests/test_operators_and_elementwise_functions.py:673: in binary_param_assert_against_refimpl
    binary_assert_against_refimpl(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func_name = '__imul__', left = tensor(15339089.+15339090.j)
right = tensor(3.+3.j), res = tensor(-5.+92034536.j)
refimpl = <built-in function mul>

    def binary_assert_against_refimpl(
        func_name: str,
        left: Array,
        right: Array,
        res: Array,
        refimpl: Callable[[T, T], T],
        *,
        res_stype: Optional[ScalarType] = None,
        filter_: Callable[[Scalar], bool] = default_filter,
        strict_check: Optional[bool] = None,
        left_sym: str = "x1",
        right_sym: str = "x2",
        res_name: str = "out",
        expr_template: Optional[str] = None,
    ):
        """
        Assert binary element-wise results are as expected.
    
        See unary_assert_against_refimpl for more information.
        """
        if expr_template is None:
            expr_template = func_name + "({}, {})={}"
        in_stype = dh.get_scalar_type(left.dtype)
        if res_stype is None:
            res_stype = dh.get_scalar_type(left.dtype)
        if res_stype is None:
            res_stype = in_stype
        if res.dtype == xp.bool:
            m, M = (None, None)
        elif res.dtype in dh.complex_dtypes:
            m, M = dh.dtype_ranges[dh.dtype_components[res.dtype]]
        else:
            m, M = dh.dtype_ranges[res.dtype]
        if left.dtype in dh.complex_dtypes:
            component_filter = copy(filter_)
            filter_ = lambda s: component_filter(s.real) and component_filter(s.imag)
        for l_idx, r_idx, o_idx in sh.iter_indices(left.shape, right.shape, res.shape):
            scalar_l = in_stype(left[l_idx])
            scalar_r = in_stype(right[r_idx])
            if not (filter_(scalar_l) and filter_(scalar_r)):
                continue
            try:
                expected = refimpl(scalar_l, scalar_r)
            except Exception:
                continue
            if res.dtype != xp.bool:
                if res.dtype in dh.complex_dtypes:
                    if expected.real <= m or expected.real >= M:
                        continue
                    if expected.imag <= m or expected.imag >= M:
                        continue
                else:
                    if expected <= m or expected >= M:
                        continue
            scalar_o = res_stype(res[o_idx])
            f_l = sh.fmt_idx(left_sym, l_idx)
            f_r = sh.fmt_idx(right_sym, r_idx)
            f_o = sh.fmt_idx(res_name, o_idx)
            expr = expr_template.format(f_l, f_r, expected)
            if strict_check == False or res.dtype in dh.all_float_dtypes:
                msg = (
                    f"{f_o}={scalar_o}, but should be roughly {expr} [{func_name}()]\n"
                    f"{f_l}={scalar_l}, {f_r}={scalar_r}"
                )
                if res.dtype in dh.complex_dtypes:
>                   assert isclose(scalar_o.real, expected.real, M), msg
E                   AssertionError: x1=(-5+92034536j), but should be roughly (x1 * x2)=(-3+92034537j) [__imul__()]
E                     x1=(15339089+15339090j), x2=(3+3j)
E                   assert False
E                    +  where False = isclose(-5.0, -3.0, 3.4028234663852886e+38)
E                    +    where -5.0 = (-5+92034536j).real
E                    +    and   -3.0 = (-3+92034537j).real
E                   Falsifying example: test_multiply(
E                       ctx=BinaryParamContext(<__imul__(x1, x2)>),
E                       data=data(...),
E                   )
E                   Draw 1 (x1): tensor(15339089.+15339090.j)
E                   Draw 2 (x2): tensor(3.+3.j)
E                   
E                   You can reproduce this example by temporarily adding @reproduce_failure('6.86.1', b'AXicY2eAgVd8gQhmEAMCMCMzAVPvAqE=') as a decorator on your test case

array_api_tests/test_operators_and_elementwise_functions.py:340: AssertionError
=============================== warnings summary ===============================
array-api/spec/API_specification/signatures/creation_functions.py:38
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/array-api/spec/API_specification/signatures/creation_functions.py:38: DeprecationWarning: invalid escape sequence '\s'
    """

array-api/spec/API_specification/signatures/linalg.py:447
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/array-api/spec/API_specification/signatures/linalg.py:447: DeprecationWarning: invalid escape sequence '\*'
    """

array-api/spec/API_specification/signatures/elementwise_functions.py:601
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/array-api/spec/API_specification/signatures/elementwise_functions.py:601: DeprecationWarning: invalid escape sequence '\s'
    """

../array-api-compat/array_api_compat/torch/_aliases.py:573
  /home/runner/work/array-api-compat/array-api-compat/array-api-compat/array_api_compat/torch/_aliases.py:573: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)
    return torch.zeros(shape, dtype=dtype, device=device, **kwargs)

array_api_tests/__init__.py:49
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/array_api_tests/__init__.py:49: HypothesisWarning: Could not determine whether module array_api_compat.torch is an Array API library
    xps = array_api.make_strategies_namespace(_xp, api_version=api_version)

reporting.py:94
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/reporting.py:94: PytestDeprecationWarning: The hookimpl pytest_json_modifyreport uses old-style configuration options (marks or attributes).
  Please use the pytest.hookimpl(optionalhook=True) decorator instead
   to configure the hooks.
   See https://docs.pytest.org/en/latest/deprecations.html#configuring-hook-specs-impls-using-markers
    @mark.optionalhook

reporting.py:47
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/reporting.py:47: PytestDeprecationWarning: The hookimpl pytest_metadata uses old-style configuration options (marks or attributes).
  Please use the pytest.hookimpl(optionalhook=True) decorator instead
   to configure the hooks.
   See https://docs.pytest.org/en/latest/deprecations.html#configuring-hook-specs-impls-using-markers
    @mark.optionalhook

conftest.py:203
  /home/runner/work/array-api-compat/array-api-compat/array-api-tests/conftest.py:203: UserWarning: 1 ids in xfails file don't match any collected tests: 
      array_api_tests/test_array_object.py::test_getitem_masking
  (xfails file: /home/runner/work/array-api-compat/array-api-compat/array-api-compat/torch-xfails.txt)
  Note the relevant tests might not of been collected by pytest, or another specified id might have already matched a test.
    warnings.warn(

array-api-tests/array_api_tests/test_array_object.py: 754 warnings
array-api-tests/array_api_tests/test_creation_functions.py: 441 warnings
array-api-tests/array_api_tests/test_data_type_functions.py: 428 warnings
array-api-tests/array_api_tests/test_indexing_functions.py: 1 warning
array-api-tests/array_api_tests/test_linalg.py: 1 warning
array-api-tests/array_api_tests/test_manipulation_functions.py: 6 warnings
array-api-tests/array_api_tests/test_operators_and_elementwise_functions.py: 9 warnings
array-api-tests/array_api_tests/test_searching_functions.py: 3 warnings
array-api-tests/array_api_tests/test_set_functions.py: 4 warnings
array-api-tests/array_api_tests/test_sorting_functions.py: 2 warnings
array-api-tests/array_api_tests/test_statistical_functions.py: 4 warnings
array-api-tests/array_api_tests/test_utility_functions.py: 2 warnings
  /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/hypothesis/extra/array_api.py:699: HypothesisWarning: Array module array_api_compat.torch does not have the following dtypes in its namespace: uint16, uint32, uint64
    check_dtypes(xp, dtypes, stubs)

array-api-tests/array_api_tests/test_creation_functions.py::test_meshgrid
  /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)
    return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]

array-api-tests/array_api_tests/test_utility_functions.py::test_any
  /home/runner/work/array-api-compat/array-api-compat/array-api-compat/array_api_compat/torch/_aliases.py:322: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:276.)
    res = torch.any(x, **kwargs)

...

FAILED array_api_tests/test_operators_and_elementwise_functions.py::test_multiply[__imul__(x1, x2)] - AssertionError: x1=(-5+92034536j), but should be roughly (x1 * x2)=(-3+92034537j) [__imul__()]
  x1=(15339089+15339090j), x2=(3+3j)
assert False
 +  where False = isclose(-5.0, -3.0, 3.4028234663852886e+38)
 +    where -5.0 = (-5+92034536j).real
 +    and   -3.0 = (-3+92034537j).real
Falsifying example: test_multiply(
    ctx=BinaryParamContext(<__imul__(x1, x2)>),
    data=data(...),
)
Draw 1 (x1): tensor(15339089.+15339090.j)
Draw 2 (x2): tensor(3.+3.j)

You can reproduce this example by temporarily adding @reproduce_failure('6.86.1', b'AXicY2eAgVd8gQhmEAMCMCMzAVPvAqE=') as a decorator on your test case