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Diffstat (limited to '.venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py | 806 |
1 files changed, 806 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py b/.venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py new file mode 100644 index 0000000..a56cd13 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py @@ -0,0 +1,806 @@ +import functools +import importlib +import inspect +import pkgutil +import subprocess +import sys +import sysconfig +import types +import warnings + +import pytest + +import numpy +import numpy as np +from numpy.testing import IS_WASM + +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): + if name == "core": + continue + 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(): + # We override dir to not show these members + allowlist = { + 'recarray': 'numpy.rec.recarray', + } + bad_results = check_dir(np) + # pytest gives better error messages with the builtin assert than with + # assert_equal + assert bad_results == allowlist + + +@pytest.mark.skipif(IS_WASM, reason="can't start subprocess") +@pytest.mark.parametrize('name', ['testing']) +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 [ + "ctypeslib", + "dtypes", + "exceptions", + "f2py", + "fft", + "lib", + "lib.array_utils", + "lib.format", + "lib.introspect", + "lib.mixins", + "lib.npyio", + "lib.recfunctions", # note: still needs cleaning, was forgotten for 2.0 + "lib.scimath", + "lib.stride_tricks", + "linalg", + "ma", + "ma.extras", + "ma.mrecords", + "polynomial", + "polynomial.chebyshev", + "polynomial.hermite", + "polynomial.hermite_e", + "polynomial.laguerre", + "polynomial.legendre", + "polynomial.polynomial", + "random", + "strings", + "testing", + "testing.overrides", + "typing", + "typing.mypy_plugin", + "version", +]] +if sys.version_info < (3, 12): + PUBLIC_MODULES += [ + 'numpy.' + s for s in [ + "distutils", + "distutils.cpuinfo", + "distutils.exec_command", + "distutils.misc_util", + "distutils.log", + "distutils.system_info", + ] + ] + + +PUBLIC_ALIASED_MODULES = [ + "numpy.char", + "numpy.emath", + "numpy.rec", +] + + +PRIVATE_BUT_PRESENT_MODULES = ['numpy.' + s for s in [ + "conftest", + "core", + "core.multiarray", + "core.numeric", + "core.umath", + "core.arrayprint", + "core.defchararray", + "core.einsumfunc", + "core.fromnumeric", + "core.function_base", + "core.getlimits", + "core.numerictypes", + "core.overrides", + "core.records", + "core.shape_base", + "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.user_array", # note: not in np.lib, but probably should just be deleted + "linalg.lapack_lite", + "linalg.linalg", + "ma.core", + "ma.testutils", + "matlib", + "matrixlib", + "matrixlib.defmatrix", + "polynomial.polyutils", + "random.mtrand", + "random.bit_generator", + "testing.print_coercion_tables", +]] +if sys.version_info < (3, 12): + PRIVATE_BUT_PRESENT_MODULES += [ + 'numpy.' + s for s in [ + "distutils.armccompiler", + "distutils.fujitsuccompiler", + "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", + ] + ] + + +def is_unexpected(name): + """Check if this needs to be considered.""" + return ( + '._' not in name and '.tests' not in name and '.setup' not in name + and name not in PUBLIC_MODULES + and name not in PUBLIC_ALIASED_MODULES + and name not in PRIVATE_BUT_PRESENT_MODULES + ) + + +if sys.version_info >= (3, 12): + SKIP_LIST = [] +else: + SKIP_LIST = ["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.lib.math', + 'numpy.matlib.char', + 'numpy.matlib.rec', + 'numpy.matlib.emath', + 'numpy.matlib.exceptions', + 'numpy.matlib.math', + 'numpy.matlib.linalg', + 'numpy.matlib.fft', + 'numpy.matlib.random', + 'numpy.matlib.ctypeslib', + 'numpy.matlib.ma', +] +if sys.version_info < (3, 12): + SKIP_LIST_2 += [ + 'numpy.distutils.log.sys', + 'numpy.distutils.log.logging', + 'numpy.distutils.log.warnings', + ] + + +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 " + f"modules: {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 " + f"imported: {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 " + f"found: {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: " + f"{module_names}") + + +@pytest.mark.xfail( + sysconfig.get_config_var("Py_DEBUG") not in (None, 0, "0"), + 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 main numpy namespace. + """ + # For a development install that did not go through meson-python, + # the entrypoint will not have been installed. So ensure this test fails + # only if numpy is inside site-packages. + numpy_in_sitepackages = sysconfig.get_path('platlib') in np.__file__ + + eps = importlib.metadata.entry_points() + xp_eps = eps.select(group="array_api") + if len(xp_eps) == 0: + if numpy_in_sitepackages: + msg = "No entry points for 'array_api' found" + raise AssertionError(msg) from None + return + + try: + ep = next(ep for ep in xp_eps if ep.name == "numpy") + except StopIteration: + if numpy_in_sitepackages: + msg = "'numpy' not in array_api entry points" + raise AssertionError(msg) from None + return + + if ep.value == 'numpy.array_api': + # Looks like the entrypoint for the current numpy build isn't + # installed, but an older numpy is also installed and hence the + # entrypoint is pointing to the old (no longer existing) location. + # This isn't a problem except for when running tests with `spin` or an + # in-place build. + return + + xp = ep.load() + msg = ( + f"numpy entry point value '{ep.value}' " + "does not point to our Array API implementation" + ) + assert xp is numpy, msg + + +def test_main_namespace_all_dir_coherence(): + """ + Checks if `dir(np)` and `np.__all__` are consistent and return + the same content, excluding exceptions and private members. + """ + def _remove_private_members(member_set): + return {m for m in member_set if not m.startswith('_')} + + def _remove_exceptions(member_set): + return member_set.difference({ + "bool" # included only in __dir__ + }) + + all_members = _remove_private_members(np.__all__) + all_members = _remove_exceptions(all_members) + + dir_members = _remove_private_members(np.__dir__()) + dir_members = _remove_exceptions(dir_members) + + assert all_members == dir_members, ( + "Members that break symmetry: " + f"{all_members.symmetric_difference(dir_members)}" + ) + + +@pytest.mark.filterwarnings( + r"ignore:numpy.core(\.\w+)? is deprecated:DeprecationWarning" +) +def test_core_shims_coherence(): + """ + Check that all "semi-public" members of `numpy._core` are also accessible + from `numpy.core` shims. + """ + import numpy.core as core + + for member_name in dir(np._core): + # Skip private and test members. Also if a module is aliased, + # no need to add it to np.core + if ( + member_name.startswith("_") + or member_name in ["tests", "strings"] + or f"numpy.{member_name}" in PUBLIC_ALIASED_MODULES + ): + continue + + member = getattr(np._core, member_name) + + # np.core is a shim and all submodules of np.core are shims + # but we should be able to import everything in those shims + # that are available in the "real" modules in np._core, with + # the exception of the namespace packages (__spec__.origin is None), + # like numpy._core.include, or numpy._core.lib.pkgconfig. + if ( + inspect.ismodule(member) + and member.__spec__ and member.__spec__.origin is not None + ): + submodule = member + submodule_name = member_name + for submodule_member_name in dir(submodule): + # ignore dunder names + if submodule_member_name.startswith("__"): + continue + submodule_member = getattr(submodule, submodule_member_name) + + core_submodule = __import__( + f"numpy.core.{submodule_name}", + fromlist=[submodule_member_name] + ) + + assert submodule_member is getattr( + core_submodule, submodule_member_name + ) + + else: + assert member is getattr(core, member_name) + + +def test_functions_single_location(): + """ + Check that each public function is available from one location only. + + Test performs BFS search traversing NumPy's public API. It flags + any function-like object that is accessible from more that one place. + """ + from collections.abc import Callable + from typing import Any + + from numpy._core._multiarray_umath import ( + _ArrayFunctionDispatcher as dispatched_function, + ) + + visited_modules: set[types.ModuleType] = {np} + visited_functions: set[Callable[..., Any]] = set() + # Functions often have `__name__` overridden, therefore we need + # to keep track of locations where functions have been found. + functions_original_paths: dict[Callable[..., Any], str] = {} + + # Here we aggregate functions with more than one location. + # It must be empty for the test to pass. + duplicated_functions: list[tuple] = [] + + modules_queue = [np] + + while len(modules_queue) > 0: + + module = modules_queue.pop() + + for member_name in dir(module): + member = getattr(module, member_name) + + # first check if we got a module + if ( + inspect.ismodule(member) and # it's a module + "numpy" in member.__name__ and # inside NumPy + not member_name.startswith("_") and # not private + "numpy._core" not in member.__name__ and # outside _core + # not a legacy or testing module + member_name not in ["f2py", "ma", "testing", "tests"] and + member not in visited_modules # not visited yet + ): + modules_queue.append(member) + visited_modules.add(member) + + # else check if we got a function-like object + elif ( + inspect.isfunction(member) or + isinstance(member, (dispatched_function, np.ufunc)) + ): + if member in visited_functions: + + # skip main namespace functions with aliases + if ( + member.__name__ in [ + "absolute", # np.abs + "arccos", # np.acos + "arccosh", # np.acosh + "arcsin", # np.asin + "arcsinh", # np.asinh + "arctan", # np.atan + "arctan2", # np.atan2 + "arctanh", # np.atanh + "left_shift", # np.bitwise_left_shift + "right_shift", # np.bitwise_right_shift + "conjugate", # np.conj + "invert", # np.bitwise_not & np.bitwise_invert + "remainder", # np.mod + "divide", # np.true_divide + "concatenate", # np.concat + "power", # np.pow + "transpose", # np.permute_dims + ] and + module.__name__ == "numpy" + ): + continue + # skip trimcoef from numpy.polynomial as it is + # duplicated by design. + if ( + member.__name__ == "trimcoef" and + module.__name__.startswith("numpy.polynomial") + ): + continue + + # skip ufuncs that are exported in np.strings as well + if member.__name__ in ( + "add", + "equal", + "not_equal", + "greater", + "greater_equal", + "less", + "less_equal", + ) and module.__name__ == "numpy.strings": + continue + + # numpy.char reexports all numpy.strings functions for + # backwards-compatibility + if module.__name__ == "numpy.char": + continue + + # function is present in more than one location! + duplicated_functions.append( + (member.__name__, + module.__name__, + functions_original_paths[member]) + ) + else: + visited_functions.add(member) + functions_original_paths[member] = module.__name__ + + del visited_functions, visited_modules, functions_original_paths + + assert len(duplicated_functions) == 0, duplicated_functions + + +def test___module___attribute(): + modules_queue = [np] + visited_modules = {np} + visited_functions = set() + incorrect_entries = [] + + while len(modules_queue) > 0: + module = modules_queue.pop() + for member_name in dir(module): + member = getattr(module, member_name) + # first check if we got a module + if ( + inspect.ismodule(member) and # it's a module + "numpy" in member.__name__ and # inside NumPy + not member_name.startswith("_") and # not private + "numpy._core" not in member.__name__ and # outside _core + # not in a skip module list + member_name not in [ + "char", "core", "f2py", "ma", "lapack_lite", "mrecords", + "testing", "tests", "polynomial", "typing", "mtrand", + "bit_generator", + ] and + member not in visited_modules # not visited yet + ): + modules_queue.append(member) + visited_modules.add(member) + elif ( + not inspect.ismodule(member) and + hasattr(member, "__name__") and + not member.__name__.startswith("_") and + member.__module__ != module.__name__ and + member not in visited_functions + ): + # skip ufuncs that are exported in np.strings as well + if member.__name__ in ( + "add", "equal", "not_equal", "greater", "greater_equal", + "less", "less_equal", + ) and module.__name__ == "numpy.strings": + continue + + # recarray and record are exported in np and np.rec + if ( + (member.__name__ == "recarray" and module.__name__ == "numpy") or + (member.__name__ == "record" and module.__name__ == "numpy.rec") + ): + continue + + # ctypeslib exports ctypes c_long/c_longlong + if ( + member.__name__ in ("c_long", "c_longlong") and + module.__name__ == "numpy.ctypeslib" + ): + continue + + # skip cdef classes + if member.__name__ in ( + "BitGenerator", "Generator", "MT19937", "PCG64", "PCG64DXSM", + "Philox", "RandomState", "SFC64", "SeedSequence", + ): + continue + + incorrect_entries.append( + { + "Func": member.__name__, + "actual": member.__module__, + "expected": module.__name__, + } + ) + visited_functions.add(member) + + if incorrect_entries: + assert len(incorrect_entries) == 0, incorrect_entries + + +def _check_correct_qualname_and_module(obj) -> bool: + qualname = obj.__qualname__ + name = obj.__name__ + module_name = obj.__module__ + assert name == qualname.split(".")[-1] + + module = sys.modules[module_name] + actual_obj = functools.reduce(getattr, qualname.split("."), module) + return ( + actual_obj is obj or + # `obj` may be a bound method/property of `actual_obj`: + ( + hasattr(actual_obj, "__get__") and hasattr(obj, "__self__") and + actual_obj.__module__ == obj.__module__ and + actual_obj.__qualname__ == qualname + ) + ) + + +def test___qualname___and___module___attribute(): + # NumPy messes with module and name/qualname attributes, but any object + # should be discoverable based on its module and qualname, so test that. + # We do this for anything with a name (ensuring qualname is also set). + modules_queue = [np] + visited_modules = {np} + visited_functions = set() + incorrect_entries = [] + + while len(modules_queue) > 0: + module = modules_queue.pop() + for member_name in dir(module): + member = getattr(module, member_name) + # first check if we got a module + if ( + inspect.ismodule(member) and # it's a module + "numpy" in member.__name__ and # inside NumPy + not member_name.startswith("_") and # not private + member_name not in {"tests", "typing"} and # 2024-12: type names don't match + "numpy._core" not in member.__name__ and # outside _core + member not in visited_modules # not visited yet + ): + modules_queue.append(member) + visited_modules.add(member) + elif ( + not inspect.ismodule(member) and + hasattr(member, "__name__") and + not member.__name__.startswith("_") and + not member_name.startswith("_") and + not _check_correct_qualname_and_module(member) and + member not in visited_functions + ): + incorrect_entries.append( + { + "found_at": f"{module.__name__}:{member_name}", + "advertises": f"{member.__module__}:{member.__qualname__}", + } + ) + visited_functions.add(member) + + if incorrect_entries: + assert len(incorrect_entries) == 0, incorrect_entries |