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90 lines
3.4 KiB
Python
90 lines
3.4 KiB
Python
6 years ago
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from __future__ import division, absolute_import, print_function
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import sys
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import numpy as np
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import pytest
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try:
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import ctypes
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except ImportError:
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ctypes = None
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def check_dir(module, module_name=None):
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"""Returns a mapping of all objects with the wrong __module__ attribute."""
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if module_name is None:
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module_name = module.__name__
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results = {}
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for name in dir(module):
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item = getattr(module, name)
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if (hasattr(item, '__module__') and hasattr(item, '__name__')
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and item.__module__ != module_name):
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results[name] = item.__module__ + '.' + item.__name__
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return results
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@pytest.mark.skipif(
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sys.version_info[0] < 3,
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reason="NumPy exposes slightly different functions on Python 2")
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def test_numpy_namespace():
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# None of these objects are publicly documented.
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undocumented = {
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'Tester': 'numpy.testing._private.nosetester.NoseTester',
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'_add_newdoc_ufunc': 'numpy.core._multiarray_umath._add_newdoc_ufunc',
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'add_docstring': 'numpy.core._multiarray_umath.add_docstring',
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'add_newdoc': 'numpy.core.function_base.add_newdoc',
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'add_newdoc_ufunc': 'numpy.core._multiarray_umath._add_newdoc_ufunc',
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'byte_bounds': 'numpy.lib.utils.byte_bounds',
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'compare_chararrays': 'numpy.core._multiarray_umath.compare_chararrays',
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'deprecate': 'numpy.lib.utils.deprecate',
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'deprecate_with_doc': 'numpy.lib.utils.<lambda>',
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'disp': 'numpy.lib.function_base.disp',
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'fastCopyAndTranspose': 'numpy.core._multiarray_umath._fastCopyAndTranspose',
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'get_array_wrap': 'numpy.lib.shape_base.get_array_wrap',
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'get_include': 'numpy.lib.utils.get_include',
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'int_asbuffer': 'numpy.core._multiarray_umath.int_asbuffer',
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'mafromtxt': 'numpy.lib.npyio.mafromtxt',
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'maximum_sctype': 'numpy.core.numerictypes.maximum_sctype',
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'ndfromtxt': 'numpy.lib.npyio.ndfromtxt',
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'recfromcsv': 'numpy.lib.npyio.recfromcsv',
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'recfromtxt': 'numpy.lib.npyio.recfromtxt',
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'safe_eval': 'numpy.lib.utils.safe_eval',
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'set_string_function': 'numpy.core.arrayprint.set_string_function',
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'show_config': 'numpy.__config__.show',
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'who': 'numpy.lib.utils.who',
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}
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# These built-in types are re-exported by numpy.
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builtins = {
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'bool': 'builtins.bool',
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'complex': 'builtins.complex',
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'float': 'builtins.float',
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'int': 'builtins.int',
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'long': 'builtins.int',
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'object': 'builtins.object',
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'str': 'builtins.str',
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'unicode': 'builtins.str',
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}
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whitelist = dict(undocumented, **builtins)
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bad_results = check_dir(np)
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# pytest gives better error messages with the builtin assert than with
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# assert_equal
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assert bad_results == whitelist
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def test_numpy_linalg():
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bad_results = check_dir(np.linalg)
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assert bad_results == {}
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def test_numpy_fft():
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bad_results = check_dir(np.fft)
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assert bad_results == {}
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@pytest.mark.skipif(ctypes is None,
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reason="ctypes not available in this python")
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def test_NPY_NO_EXPORT():
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cdll = ctypes.CDLL(np.core._multiarray_tests.__file__)
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# Make sure an arbitrary NPY_NO_EXPORT function is actually hidden
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f = getattr(cdll, 'test_not_exported', None)
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assert f is None, ("'test_not_exported' is mistakenly exported, "
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"NPY_NO_EXPORT does not work")
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