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					100 lines
				
				3.6 KiB
			
		
		
			
		
	
	
					100 lines
				
				3.6 KiB
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											3 years ago
										 
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								import os
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								import pytest
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								import shutil
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								import subprocess
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								import sys
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								import warnings
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								import numpy as np
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								from numpy.distutils.misc_util import exec_mod_from_location
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								from numpy.testing import IS_WASM
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								try:
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								    import cffi
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								except ImportError:
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								    cffi = None
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								if sys.flags.optimize > 1:
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								    # no docstrings present to inspect when PYTHONOPTIMIZE/Py_OptimizeFlag > 1
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								    # cffi cannot succeed
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								    cffi = None
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								try:
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								    with warnings.catch_warnings(record=True) as w:
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								        # numba issue gh-4733
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								        warnings.filterwarnings('always', '', DeprecationWarning)
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								        import numba
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								except (ImportError, SystemError):
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								    # Certain numpy/numba versions trigger a SystemError due to a numba bug
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								    numba = None
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								try:
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								    import cython
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								    from Cython.Compiler.Version import version as cython_version
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								except ImportError:
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								    cython = None
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								else:
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								    from numpy.compat import _pep440
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								    # Cython 0.29.30 is required for Python 3.11 and there are
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								    # other fixes in the 0.29 series that are needed even for earlier
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								    # Python versions.
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								    # Note: keep in sync with the one in pyproject.toml
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								    required_version = '0.29.30'
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								    if _pep440.parse(cython_version) < _pep440.Version(required_version):
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								        # too old or wrong cython, skip the test
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								        cython = None
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								@pytest.mark.skipif(IS_WASM, reason="Can't start subprocess")
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								@pytest.mark.skipif(cython is None, reason="requires cython")
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								@pytest.mark.slow
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								def test_cython(tmp_path):
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								    srcdir = os.path.join(os.path.dirname(__file__), '..')
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								    shutil.copytree(srcdir, tmp_path / 'random')
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								    # build the examples and "install" them into a temporary directory
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								    build_dir = tmp_path / 'random' / '_examples' / 'cython'
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								    subprocess.check_call([sys.executable, 'setup.py', 'build', 'install',
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								                           '--prefix', str(tmp_path / 'installdir'),
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								                           '--single-version-externally-managed',
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								                           '--record', str(tmp_path/ 'tmp_install_log.txt'),
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								                          ],
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								                          cwd=str(build_dir),
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								                      )
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								    # gh-16162: make sure numpy's __init__.pxd was used for cython
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								    # not really part of this test, but it is a convenient place to check
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								    with open(build_dir / 'extending.c') as fid:
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								        txt_to_find = 'NumPy API declarations from "numpy/__init__.pxd"'
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								        for i, line in enumerate(fid):
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								            if txt_to_find in line:
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								                break
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								        else:
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								            assert False, ("Could not find '{}' in C file, "
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								                           "wrong pxd used".format(txt_to_find))
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								    # get the path to the so's
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								    so1 = so2 = None
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								    with open(tmp_path /'tmp_install_log.txt') as fid:
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								        for line in fid:
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								            if 'extending.' in line:
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								                so1 = line.strip()
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								            if 'extending_distributions' in line:
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								                so2 = line.strip()
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								    assert so1 is not None
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								    assert so2 is not None
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								    # import the so's without adding the directory to sys.path
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								    exec_mod_from_location('extending', so1)
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								    extending_distributions = exec_mod_from_location(
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								                    'extending_distributions', so2)
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								    # actually test the cython c-extension
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								    from numpy.random import PCG64
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								    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')
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								    assert values.shape == (10,)
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								    assert values.dtype == np.float64
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								@pytest.mark.skipif(numba is None or cffi is None,
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								                    reason="requires numba and cffi")
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								def test_numba():
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								    from numpy.random._examples.numba import extending  # noqa: F401
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								@pytest.mark.skipif(cffi is None, reason="requires cffi")
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								def test_cffi():
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								    from numpy.random._examples.cffi import extending  # noqa: F401
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