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90 lines
3.4 KiB
Python

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