502 lines
16 KiB
Python
502 lines
16 KiB
Python
|
import sys
|
||
|
|
import sysconfig
|
||
|
|
import subprocess
|
||
|
|
import pkgutil
|
||
|
|
import types
|
||
|
|
import importlib
|
||
|
|
import warnings
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
import numpy
|
||
|
|
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
|
||
|
|
|
||
|
|
|
||
|
|
def test_numpy_namespace():
|
||
|
|
# None of these objects are publicly documented to be part of the main
|
||
|
|
# NumPy namespace (some are useful though, others need to be cleaned up)
|
||
|
|
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.deprecate_with_doc',
|
||
|
|
'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',
|
||
|
|
'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',
|
||
|
|
}
|
||
|
|
# We override dir to not show these members
|
||
|
|
allowlist = undocumented
|
||
|
|
bad_results = check_dir(np)
|
||
|
|
# pytest gives better error messages with the builtin assert than with
|
||
|
|
# assert_equal
|
||
|
|
assert bad_results == allowlist
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('name', ['testing', 'Tester'])
|
||
|
|
def test_import_lazy_import(name):
|
||
|
|
"""Make sure we can actually use the modules we lazy load.
|
||
|
|
|
||
|
|
While not exported as part of the public API, it was accessible. With the
|
||
|
|
use of __getattr__ and __dir__, this isn't always true It can happen that
|
||
|
|
an infinite recursion may happen.
|
||
|
|
|
||
|
|
This is the only way I found that would force the failure to appear on the
|
||
|
|
badly implemented code.
|
||
|
|
|
||
|
|
We also test for the presence of the lazily imported modules in dir
|
||
|
|
|
||
|
|
"""
|
||
|
|
exe = (sys.executable, '-c', "import numpy; numpy." + name)
|
||
|
|
result = subprocess.check_output(exe)
|
||
|
|
assert not result
|
||
|
|
|
||
|
|
# Make sure they are still in the __dir__
|
||
|
|
assert name in dir(np)
|
||
|
|
|
||
|
|
|
||
|
|
def test_dir_testing():
|
||
|
|
"""Assert that output of dir has only one "testing/tester"
|
||
|
|
attribute without duplicate"""
|
||
|
|
assert len(dir(np)) == len(set(dir(np)))
|
||
|
|
|
||
|
|
|
||
|
|
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")
|
||
|
|
|
||
|
|
|
||
|
|
# Historically NumPy has not used leading underscores for private submodules
|
||
|
|
# much. This has resulted in lots of things that look like public modules
|
||
|
|
# (i.e. things that can be imported as `import numpy.somesubmodule.somefile`),
|
||
|
|
# but were never intended to be public. The PUBLIC_MODULES list contains
|
||
|
|
# modules that are either public because they were meant to be, or because they
|
||
|
|
# contain public functions/objects that aren't present in any other namespace
|
||
|
|
# for whatever reason and therefore should be treated as public.
|
||
|
|
#
|
||
|
|
# The PRIVATE_BUT_PRESENT_MODULES list contains modules that look public (lack
|
||
|
|
# of underscores) but should not be used. For many of those modules the
|
||
|
|
# current status is fine. For others it may make sense to work on making them
|
||
|
|
# private, to clean up our public API and avoid confusion.
|
||
|
|
PUBLIC_MODULES = ['numpy.' + s for s in [
|
||
|
|
"array_api",
|
||
|
|
"array_api.linalg",
|
||
|
|
"ctypeslib",
|
||
|
|
"distutils",
|
||
|
|
"distutils.cpuinfo",
|
||
|
|
"distutils.exec_command",
|
||
|
|
"distutils.misc_util",
|
||
|
|
"distutils.log",
|
||
|
|
"distutils.system_info",
|
||
|
|
"doc",
|
||
|
|
"doc.constants",
|
||
|
|
"doc.ufuncs",
|
||
|
|
"f2py",
|
||
|
|
"fft",
|
||
|
|
"lib",
|
||
|
|
"lib.format", # was this meant to be public?
|
||
|
|
"lib.mixins",
|
||
|
|
"lib.recfunctions",
|
||
|
|
"lib.scimath",
|
||
|
|
"lib.stride_tricks",
|
||
|
|
"linalg",
|
||
|
|
"ma",
|
||
|
|
"ma.extras",
|
||
|
|
"ma.mrecords",
|
||
|
|
"matlib",
|
||
|
|
"polynomial",
|
||
|
|
"polynomial.chebyshev",
|
||
|
|
"polynomial.hermite",
|
||
|
|
"polynomial.hermite_e",
|
||
|
|
"polynomial.laguerre",
|
||
|
|
"polynomial.legendre",
|
||
|
|
"polynomial.polynomial",
|
||
|
|
"random",
|
||
|
|
"testing",
|
||
|
|
"typing",
|
||
|
|
"typing.mypy_plugin",
|
||
|
|
"version",
|
||
|
|
]]
|
||
|
|
|
||
|
|
|
||
|
|
PUBLIC_ALIASED_MODULES = [
|
||
|
|
"numpy.char",
|
||
|
|
"numpy.emath",
|
||
|
|
"numpy.rec",
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
PRIVATE_BUT_PRESENT_MODULES = ['numpy.' + s for s in [
|
||
|
|
"compat",
|
||
|
|
"compat.py3k",
|
||
|
|
"conftest",
|
||
|
|
"core",
|
||
|
|
"core.arrayprint",
|
||
|
|
"core.defchararray",
|
||
|
|
"core.einsumfunc",
|
||
|
|
"core.fromnumeric",
|
||
|
|
"core.function_base",
|
||
|
|
"core.getlimits",
|
||
|
|
"core.memmap",
|
||
|
|
"core.multiarray",
|
||
|
|
"core.numeric",
|
||
|
|
"core.numerictypes",
|
||
|
|
"core.overrides",
|
||
|
|
"core.records",
|
||
|
|
"core.shape_base",
|
||
|
|
"core.umath",
|
||
|
|
"core.umath_tests",
|
||
|
|
"distutils.armccompiler",
|
||
|
|
"distutils.ccompiler",
|
||
|
|
'distutils.ccompiler_opt',
|
||
|
|
"distutils.command",
|
||
|
|
"distutils.command.autodist",
|
||
|
|
"distutils.command.bdist_rpm",
|
||
|
|
"distutils.command.build",
|
||
|
|
"distutils.command.build_clib",
|
||
|
|
"distutils.command.build_ext",
|
||
|
|
"distutils.command.build_py",
|
||
|
|
"distutils.command.build_scripts",
|
||
|
|
"distutils.command.build_src",
|
||
|
|
"distutils.command.config",
|
||
|
|
"distutils.command.config_compiler",
|
||
|
|
"distutils.command.develop",
|
||
|
|
"distutils.command.egg_info",
|
||
|
|
"distutils.command.install",
|
||
|
|
"distutils.command.install_clib",
|
||
|
|
"distutils.command.install_data",
|
||
|
|
"distutils.command.install_headers",
|
||
|
|
"distutils.command.sdist",
|
||
|
|
"distutils.conv_template",
|
||
|
|
"distutils.core",
|
||
|
|
"distutils.extension",
|
||
|
|
"distutils.fcompiler",
|
||
|
|
"distutils.fcompiler.absoft",
|
||
|
|
"distutils.fcompiler.arm",
|
||
|
|
"distutils.fcompiler.compaq",
|
||
|
|
"distutils.fcompiler.environment",
|
||
|
|
"distutils.fcompiler.g95",
|
||
|
|
"distutils.fcompiler.gnu",
|
||
|
|
"distutils.fcompiler.hpux",
|
||
|
|
"distutils.fcompiler.ibm",
|
||
|
|
"distutils.fcompiler.intel",
|
||
|
|
"distutils.fcompiler.lahey",
|
||
|
|
"distutils.fcompiler.mips",
|
||
|
|
"distutils.fcompiler.nag",
|
||
|
|
"distutils.fcompiler.none",
|
||
|
|
"distutils.fcompiler.pathf95",
|
||
|
|
"distutils.fcompiler.pg",
|
||
|
|
"distutils.fcompiler.nv",
|
||
|
|
"distutils.fcompiler.sun",
|
||
|
|
"distutils.fcompiler.vast",
|
||
|
|
"distutils.fcompiler.fujitsu",
|
||
|
|
"distutils.from_template",
|
||
|
|
"distutils.intelccompiler",
|
||
|
|
"distutils.lib2def",
|
||
|
|
"distutils.line_endings",
|
||
|
|
"distutils.mingw32ccompiler",
|
||
|
|
"distutils.msvccompiler",
|
||
|
|
"distutils.npy_pkg_config",
|
||
|
|
"distutils.numpy_distribution",
|
||
|
|
"distutils.pathccompiler",
|
||
|
|
"distutils.unixccompiler",
|
||
|
|
"dual",
|
||
|
|
"f2py.auxfuncs",
|
||
|
|
"f2py.capi_maps",
|
||
|
|
"f2py.cb_rules",
|
||
|
|
"f2py.cfuncs",
|
||
|
|
"f2py.common_rules",
|
||
|
|
"f2py.crackfortran",
|
||
|
|
"f2py.diagnose",
|
||
|
|
"f2py.f2py2e",
|
||
|
|
"f2py.f90mod_rules",
|
||
|
|
"f2py.func2subr",
|
||
|
|
"f2py.rules",
|
||
|
|
"f2py.symbolic",
|
||
|
|
"f2py.use_rules",
|
||
|
|
"fft.helper",
|
||
|
|
"lib.arraypad",
|
||
|
|
"lib.arraysetops",
|
||
|
|
"lib.arrayterator",
|
||
|
|
"lib.function_base",
|
||
|
|
"lib.histograms",
|
||
|
|
"lib.index_tricks",
|
||
|
|
"lib.nanfunctions",
|
||
|
|
"lib.npyio",
|
||
|
|
"lib.polynomial",
|
||
|
|
"lib.shape_base",
|
||
|
|
"lib.twodim_base",
|
||
|
|
"lib.type_check",
|
||
|
|
"lib.ufunclike",
|
||
|
|
"lib.user_array", # note: not in np.lib, but probably should just be deleted
|
||
|
|
"lib.utils",
|
||
|
|
"linalg.lapack_lite",
|
||
|
|
"linalg.linalg",
|
||
|
|
"ma.bench",
|
||
|
|
"ma.core",
|
||
|
|
"ma.testutils",
|
||
|
|
"ma.timer_comparison",
|
||
|
|
"matrixlib",
|
||
|
|
"matrixlib.defmatrix",
|
||
|
|
"polynomial.polyutils",
|
||
|
|
"random.mtrand",
|
||
|
|
"random.bit_generator",
|
||
|
|
"testing.print_coercion_tables",
|
||
|
|
"testing.utils",
|
||
|
|
]]
|
||
|
|
|
||
|
|
|
||
|
|
def is_unexpected(name):
|
||
|
|
"""Check if this needs to be considered."""
|
||
|
|
if '._' in name or '.tests' in name or '.setup' in name:
|
||
|
|
return False
|
||
|
|
|
||
|
|
if name in PUBLIC_MODULES:
|
||
|
|
return False
|
||
|
|
|
||
|
|
if name in PUBLIC_ALIASED_MODULES:
|
||
|
|
return False
|
||
|
|
|
||
|
|
if name in PRIVATE_BUT_PRESENT_MODULES:
|
||
|
|
return False
|
||
|
|
|
||
|
|
return True
|
||
|
|
|
||
|
|
|
||
|
|
# These are present in a directory with an __init__.py but cannot be imported
|
||
|
|
# code_generators/ isn't installed, but present for an inplace build
|
||
|
|
SKIP_LIST = [
|
||
|
|
"numpy.core.code_generators",
|
||
|
|
"numpy.core.code_generators.genapi",
|
||
|
|
"numpy.core.code_generators.generate_umath",
|
||
|
|
"numpy.core.code_generators.ufunc_docstrings",
|
||
|
|
"numpy.core.code_generators.generate_numpy_api",
|
||
|
|
"numpy.core.code_generators.generate_ufunc_api",
|
||
|
|
"numpy.core.code_generators.numpy_api",
|
||
|
|
"numpy.core.code_generators.generate_umath_doc",
|
||
|
|
"numpy.core.cversions",
|
||
|
|
"numpy.core.generate_numpy_api",
|
||
|
|
"numpy.distutils.msvc9compiler",
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
def test_all_modules_are_expected():
|
||
|
|
"""
|
||
|
|
Test that we don't add anything that looks like a new public module by
|
||
|
|
accident. Check is based on filenames.
|
||
|
|
"""
|
||
|
|
|
||
|
|
modnames = []
|
||
|
|
for _, modname, ispkg in pkgutil.walk_packages(path=np.__path__,
|
||
|
|
prefix=np.__name__ + '.',
|
||
|
|
onerror=None):
|
||
|
|
if is_unexpected(modname) and modname not in SKIP_LIST:
|
||
|
|
# We have a name that is new. If that's on purpose, add it to
|
||
|
|
# PUBLIC_MODULES. We don't expect to have to add anything to
|
||
|
|
# PRIVATE_BUT_PRESENT_MODULES. Use an underscore in the name!
|
||
|
|
modnames.append(modname)
|
||
|
|
|
||
|
|
if modnames:
|
||
|
|
raise AssertionError(f'Found unexpected modules: {modnames}')
|
||
|
|
|
||
|
|
|
||
|
|
# Stuff that clearly shouldn't be in the API and is detected by the next test
|
||
|
|
# below
|
||
|
|
SKIP_LIST_2 = [
|
||
|
|
'numpy.math',
|
||
|
|
'numpy.distutils.log.sys',
|
||
|
|
'numpy.doc.constants.re',
|
||
|
|
'numpy.doc.constants.textwrap',
|
||
|
|
'numpy.lib.emath',
|
||
|
|
'numpy.lib.math',
|
||
|
|
'numpy.matlib.char',
|
||
|
|
'numpy.matlib.rec',
|
||
|
|
'numpy.matlib.emath',
|
||
|
|
'numpy.matlib.math',
|
||
|
|
'numpy.matlib.linalg',
|
||
|
|
'numpy.matlib.fft',
|
||
|
|
'numpy.matlib.random',
|
||
|
|
'numpy.matlib.ctypeslib',
|
||
|
|
'numpy.matlib.ma',
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
def test_all_modules_are_expected_2():
|
||
|
|
"""
|
||
|
|
Method checking all objects. The pkgutil-based method in
|
||
|
|
`test_all_modules_are_expected` does not catch imports into a namespace,
|
||
|
|
only filenames. So this test is more thorough, and checks this like:
|
||
|
|
|
||
|
|
import .lib.scimath as emath
|
||
|
|
|
||
|
|
To check if something in a module is (effectively) public, one can check if
|
||
|
|
there's anything in that namespace that's a public function/object but is
|
||
|
|
not exposed in a higher-level namespace. For example for a `numpy.lib`
|
||
|
|
submodule::
|
||
|
|
|
||
|
|
mod = np.lib.mixins
|
||
|
|
for obj in mod.__all__:
|
||
|
|
if obj in np.__all__:
|
||
|
|
continue
|
||
|
|
elif obj in np.lib.__all__:
|
||
|
|
continue
|
||
|
|
|
||
|
|
else:
|
||
|
|
print(obj)
|
||
|
|
|
||
|
|
"""
|
||
|
|
|
||
|
|
def find_unexpected_members(mod_name):
|
||
|
|
members = []
|
||
|
|
module = importlib.import_module(mod_name)
|
||
|
|
if hasattr(module, '__all__'):
|
||
|
|
objnames = module.__all__
|
||
|
|
else:
|
||
|
|
objnames = dir(module)
|
||
|
|
|
||
|
|
for objname in objnames:
|
||
|
|
if not objname.startswith('_'):
|
||
|
|
fullobjname = mod_name + '.' + objname
|
||
|
|
if isinstance(getattr(module, objname), types.ModuleType):
|
||
|
|
if is_unexpected(fullobjname):
|
||
|
|
if fullobjname not in SKIP_LIST_2:
|
||
|
|
members.append(fullobjname)
|
||
|
|
|
||
|
|
return members
|
||
|
|
|
||
|
|
unexpected_members = find_unexpected_members("numpy")
|
||
|
|
for modname in PUBLIC_MODULES:
|
||
|
|
unexpected_members.extend(find_unexpected_members(modname))
|
||
|
|
|
||
|
|
if unexpected_members:
|
||
|
|
raise AssertionError("Found unexpected object(s) that look like "
|
||
|
|
"modules: {}".format(unexpected_members))
|
||
|
|
|
||
|
|
|
||
|
|
def test_api_importable():
|
||
|
|
"""
|
||
|
|
Check that all submodules listed higher up in this file can be imported
|
||
|
|
|
||
|
|
Note that if a PRIVATE_BUT_PRESENT_MODULES entry goes missing, it may
|
||
|
|
simply need to be removed from the list (deprecation may or may not be
|
||
|
|
needed - apply common sense).
|
||
|
|
"""
|
||
|
|
def check_importable(module_name):
|
||
|
|
try:
|
||
|
|
importlib.import_module(module_name)
|
||
|
|
except (ImportError, AttributeError):
|
||
|
|
return False
|
||
|
|
|
||
|
|
return True
|
||
|
|
|
||
|
|
module_names = []
|
||
|
|
for module_name in PUBLIC_MODULES:
|
||
|
|
if not check_importable(module_name):
|
||
|
|
module_names.append(module_name)
|
||
|
|
|
||
|
|
if module_names:
|
||
|
|
raise AssertionError("Modules in the public API that cannot be "
|
||
|
|
"imported: {}".format(module_names))
|
||
|
|
|
||
|
|
for module_name in PUBLIC_ALIASED_MODULES:
|
||
|
|
try:
|
||
|
|
eval(module_name)
|
||
|
|
except AttributeError:
|
||
|
|
module_names.append(module_name)
|
||
|
|
|
||
|
|
if module_names:
|
||
|
|
raise AssertionError("Modules in the public API that were not "
|
||
|
|
"found: {}".format(module_names))
|
||
|
|
|
||
|
|
with warnings.catch_warnings(record=True) as w:
|
||
|
|
warnings.filterwarnings('always', category=DeprecationWarning)
|
||
|
|
warnings.filterwarnings('always', category=ImportWarning)
|
||
|
|
for module_name in PRIVATE_BUT_PRESENT_MODULES:
|
||
|
|
if not check_importable(module_name):
|
||
|
|
module_names.append(module_name)
|
||
|
|
|
||
|
|
if module_names:
|
||
|
|
raise AssertionError("Modules that are not really public but looked "
|
||
|
|
"public and can not be imported: "
|
||
|
|
"{}".format(module_names))
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.xfail(
|
||
|
|
sysconfig.get_config_var("Py_DEBUG") is not None,
|
||
|
|
reason=(
|
||
|
|
"NumPy possibly built with `USE_DEBUG=True ./tools/travis-test.sh`, "
|
||
|
|
"which does not expose the `array_api` entry point. "
|
||
|
|
"See https://github.com/numpy/numpy/pull/19800"
|
||
|
|
),
|
||
|
|
)
|
||
|
|
def test_array_api_entry_point():
|
||
|
|
"""
|
||
|
|
Entry point for Array API implementation can be found with importlib and
|
||
|
|
returns the numpy.array_api namespace.
|
||
|
|
"""
|
||
|
|
eps = importlib.metadata.entry_points()
|
||
|
|
try:
|
||
|
|
xp_eps = eps.select(group="array_api")
|
||
|
|
except AttributeError:
|
||
|
|
# The select interface for entry_points was introduced in py3.10,
|
||
|
|
# deprecating its dict interface. We fallback to dict keys for finding
|
||
|
|
# Array API entry points so that running this test in <=3.9 will
|
||
|
|
# still work - see https://github.com/numpy/numpy/pull/19800.
|
||
|
|
xp_eps = eps.get("array_api", [])
|
||
|
|
assert len(xp_eps) > 0, "No entry points for 'array_api' found"
|
||
|
|
|
||
|
|
try:
|
||
|
|
ep = next(ep for ep in xp_eps if ep.name == "numpy")
|
||
|
|
except StopIteration:
|
||
|
|
raise AssertionError("'numpy' not in array_api entry points") from None
|
||
|
|
|
||
|
|
xp = ep.load()
|
||
|
|
msg = (
|
||
|
|
f"numpy entry point value '{ep.value}' "
|
||
|
|
"does not point to our Array API implementation"
|
||
|
|
)
|
||
|
|
assert xp is numpy.array_api, msg
|