forked from Alsan/Post_finder
venv
This commit is contained in:
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@ -0,0 +1,9 @@
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import collections
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import numpy as np
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def test_no_duplicates_in_np__all__():
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# Regression test for gh-10198.
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dups = {k: v for k, v in collections.Counter(np.__all__).items() if v > 1}
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assert len(dups) == 0
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@ -0,0 +1,43 @@
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import os
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import subprocess
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import sysconfig
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import pytest
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import numpy as np
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from numpy.testing import IS_WASM
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is_editable = not bool(np.__path__)
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numpy_in_sitepackages = sysconfig.get_path('platlib') in np.__file__
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# We only expect to have a `numpy-config` available if NumPy was installed via
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# a build frontend (and not `spin` for example)
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if not (numpy_in_sitepackages or is_editable):
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pytest.skip("`numpy-config` not expected to be installed",
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allow_module_level=True)
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def check_numpyconfig(arg):
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p = subprocess.run(['numpy-config', arg], capture_output=True, text=True)
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p.check_returncode()
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return p.stdout.strip()
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@pytest.mark.skipif(IS_WASM, reason="wasm interpreter cannot start subprocess")
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def test_configtool_version():
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stdout = check_numpyconfig('--version')
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assert stdout == np.__version__
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@pytest.mark.skipif(IS_WASM, reason="wasm interpreter cannot start subprocess")
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def test_configtool_cflags():
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stdout = check_numpyconfig('--cflags')
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assert stdout.endswith(os.path.join('numpy', '_core', 'include'))
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@pytest.mark.skipif(IS_WASM, reason="wasm interpreter cannot start subprocess")
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def test_configtool_pkgconfigdir():
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stdout = check_numpyconfig('--pkgconfigdir')
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assert stdout.endswith(os.path.join('numpy', '_core', 'lib', 'pkgconfig'))
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if not is_editable:
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# Also check that the .pc file actually exists (unless we're using an
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# editable install, then it'll be hiding in the build dir)
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assert os.path.exists(os.path.join(stdout, 'numpy.pc'))
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377
venv/lib/python3.12/site-packages/numpy/tests/test_ctypeslib.py
Normal file
377
venv/lib/python3.12/site-packages/numpy/tests/test_ctypeslib.py
Normal file
@ -0,0 +1,377 @@
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import sys
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import sysconfig
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import weakref
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from pathlib import Path
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import pytest
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import numpy as np
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from numpy.ctypeslib import ndpointer, load_library, as_array
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from numpy.testing import assert_, assert_array_equal, assert_raises, assert_equal
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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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else:
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cdll = None
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test_cdll = None
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if hasattr(sys, 'gettotalrefcount'):
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try:
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cdll = load_library(
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'_multiarray_umath_d', np._core._multiarray_umath.__file__
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)
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except OSError:
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pass
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try:
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test_cdll = load_library(
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'_multiarray_tests', np._core._multiarray_tests.__file__
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)
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except OSError:
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pass
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if cdll is None:
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cdll = load_library(
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'_multiarray_umath', np._core._multiarray_umath.__file__)
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if test_cdll is None:
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test_cdll = load_library(
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'_multiarray_tests', np._core._multiarray_tests.__file__
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)
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c_forward_pointer = test_cdll.forward_pointer
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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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@pytest.mark.skipif(sys.platform == 'cygwin',
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reason="Known to fail on cygwin")
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class TestLoadLibrary:
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def test_basic(self):
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loader_path = np._core._multiarray_umath.__file__
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out1 = load_library('_multiarray_umath', loader_path)
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out2 = load_library(Path('_multiarray_umath'), loader_path)
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out3 = load_library('_multiarray_umath', Path(loader_path))
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out4 = load_library(b'_multiarray_umath', loader_path)
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assert isinstance(out1, ctypes.CDLL)
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assert out1 is out2 is out3 is out4
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def test_basic2(self):
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# Regression for #801: load_library with a full library name
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# (including extension) does not work.
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try:
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so_ext = sysconfig.get_config_var('EXT_SUFFIX')
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load_library('_multiarray_umath%s' % so_ext,
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np._core._multiarray_umath.__file__)
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except ImportError as e:
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msg = ("ctypes is not available on this python: skipping the test"
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" (import error was: %s)" % str(e))
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print(msg)
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class TestNdpointer:
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def test_dtype(self):
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dt = np.intc
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p = ndpointer(dtype=dt)
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assert_(p.from_param(np.array([1], dt)))
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dt = '<i4'
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p = ndpointer(dtype=dt)
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assert_(p.from_param(np.array([1], dt)))
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dt = np.dtype('>i4')
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p = ndpointer(dtype=dt)
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p.from_param(np.array([1], dt))
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assert_raises(TypeError, p.from_param,
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np.array([1], dt.newbyteorder('swap')))
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dtnames = ['x', 'y']
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dtformats = [np.intc, np.float64]
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dtdescr = {'names': dtnames, 'formats': dtformats}
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dt = np.dtype(dtdescr)
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p = ndpointer(dtype=dt)
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assert_(p.from_param(np.zeros((10,), dt)))
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samedt = np.dtype(dtdescr)
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p = ndpointer(dtype=samedt)
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assert_(p.from_param(np.zeros((10,), dt)))
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dt2 = np.dtype(dtdescr, align=True)
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if dt.itemsize != dt2.itemsize:
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assert_raises(TypeError, p.from_param, np.zeros((10,), dt2))
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else:
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assert_(p.from_param(np.zeros((10,), dt2)))
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def test_ndim(self):
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p = ndpointer(ndim=0)
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assert_(p.from_param(np.array(1)))
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assert_raises(TypeError, p.from_param, np.array([1]))
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p = ndpointer(ndim=1)
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assert_raises(TypeError, p.from_param, np.array(1))
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assert_(p.from_param(np.array([1])))
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p = ndpointer(ndim=2)
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assert_(p.from_param(np.array([[1]])))
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def test_shape(self):
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p = ndpointer(shape=(1, 2))
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assert_(p.from_param(np.array([[1, 2]])))
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assert_raises(TypeError, p.from_param, np.array([[1], [2]]))
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p = ndpointer(shape=())
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assert_(p.from_param(np.array(1)))
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def test_flags(self):
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x = np.array([[1, 2], [3, 4]], order='F')
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p = ndpointer(flags='FORTRAN')
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assert_(p.from_param(x))
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p = ndpointer(flags='CONTIGUOUS')
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assert_raises(TypeError, p.from_param, x)
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p = ndpointer(flags=x.flags.num)
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assert_(p.from_param(x))
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assert_raises(TypeError, p.from_param, np.array([[1, 2], [3, 4]]))
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def test_cache(self):
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assert_(ndpointer(dtype=np.float64) is ndpointer(dtype=np.float64))
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# shapes are normalized
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assert_(ndpointer(shape=2) is ndpointer(shape=(2,)))
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# 1.12 <= v < 1.16 had a bug that made these fail
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assert_(ndpointer(shape=2) is not ndpointer(ndim=2))
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assert_(ndpointer(ndim=2) is not ndpointer(shape=2))
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||||
@pytest.mark.skipif(ctypes is None,
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reason="ctypes not available on this python installation")
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class TestNdpointerCFunc:
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def test_arguments(self):
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""" Test that arguments are coerced from arrays """
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c_forward_pointer.restype = ctypes.c_void_p
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c_forward_pointer.argtypes = (ndpointer(ndim=2),)
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c_forward_pointer(np.zeros((2, 3)))
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# too many dimensions
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assert_raises(
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ctypes.ArgumentError, c_forward_pointer, np.zeros((2, 3, 4)))
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@pytest.mark.parametrize(
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'dt', [
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float,
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np.dtype(dict(
|
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formats=['<i4', '<i4'],
|
||||
names=['a', 'b'],
|
||||
offsets=[0, 2],
|
||||
itemsize=6
|
||||
))
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||||
], ids=[
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||||
'float',
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||||
'overlapping-fields'
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||||
]
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)
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||||
def test_return(self, dt):
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""" Test that return values are coerced to arrays """
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arr = np.zeros((2, 3), dt)
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ptr_type = ndpointer(shape=arr.shape, dtype=arr.dtype)
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c_forward_pointer.restype = ptr_type
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c_forward_pointer.argtypes = (ptr_type,)
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||||
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||||
# check that the arrays are equivalent views on the same data
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arr2 = c_forward_pointer(arr)
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assert_equal(arr2.dtype, arr.dtype)
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assert_equal(arr2.shape, arr.shape)
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||||
assert_equal(
|
||||
arr2.__array_interface__['data'],
|
||||
arr.__array_interface__['data']
|
||||
)
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||||
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||||
def test_vague_return_value(self):
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""" Test that vague ndpointer return values do not promote to arrays """
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arr = np.zeros((2, 3))
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ptr_type = ndpointer(dtype=arr.dtype)
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||||
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||||
c_forward_pointer.restype = ptr_type
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||||
c_forward_pointer.argtypes = (ptr_type,)
|
||||
|
||||
ret = c_forward_pointer(arr)
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||||
assert_(isinstance(ret, ptr_type))
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||||
|
||||
|
||||
@pytest.mark.skipif(ctypes is None,
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||||
reason="ctypes not available on this python installation")
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||||
class TestAsArray:
|
||||
def test_array(self):
|
||||
from ctypes import c_int
|
||||
|
||||
pair_t = c_int * 2
|
||||
a = as_array(pair_t(1, 2))
|
||||
assert_equal(a.shape, (2,))
|
||||
assert_array_equal(a, np.array([1, 2]))
|
||||
a = as_array((pair_t * 3)(pair_t(1, 2), pair_t(3, 4), pair_t(5, 6)))
|
||||
assert_equal(a.shape, (3, 2))
|
||||
assert_array_equal(a, np.array([[1, 2], [3, 4], [5, 6]]))
|
||||
|
||||
def test_pointer(self):
|
||||
from ctypes import c_int, cast, POINTER
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||||
|
||||
p = cast((c_int * 10)(*range(10)), POINTER(c_int))
|
||||
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||||
a = as_array(p, shape=(10,))
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assert_equal(a.shape, (10,))
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||||
assert_array_equal(a, np.arange(10))
|
||||
|
||||
a = as_array(p, shape=(2, 5))
|
||||
assert_equal(a.shape, (2, 5))
|
||||
assert_array_equal(a, np.arange(10).reshape((2, 5)))
|
||||
|
||||
# shape argument is required
|
||||
assert_raises(TypeError, as_array, p)
|
||||
|
||||
@pytest.mark.skipif(
|
||||
sys.version_info[:2] == (3, 12),
|
||||
reason="Broken in 3.12.0rc1, see gh-24399",
|
||||
)
|
||||
def test_struct_array_pointer(self):
|
||||
from ctypes import c_int16, Structure, pointer
|
||||
|
||||
class Struct(Structure):
|
||||
_fields_ = [('a', c_int16)]
|
||||
|
||||
Struct3 = 3 * Struct
|
||||
|
||||
c_array = (2 * Struct3)(
|
||||
Struct3(Struct(a=1), Struct(a=2), Struct(a=3)),
|
||||
Struct3(Struct(a=4), Struct(a=5), Struct(a=6))
|
||||
)
|
||||
|
||||
expected = np.array([
|
||||
[(1,), (2,), (3,)],
|
||||
[(4,), (5,), (6,)],
|
||||
], dtype=[('a', np.int16)])
|
||||
|
||||
def check(x):
|
||||
assert_equal(x.dtype, expected.dtype)
|
||||
assert_equal(x, expected)
|
||||
|
||||
# all of these should be equivalent
|
||||
check(as_array(c_array))
|
||||
check(as_array(pointer(c_array), shape=()))
|
||||
check(as_array(pointer(c_array[0]), shape=(2,)))
|
||||
check(as_array(pointer(c_array[0][0]), shape=(2, 3)))
|
||||
|
||||
def test_reference_cycles(self):
|
||||
# related to gh-6511
|
||||
import ctypes
|
||||
|
||||
# create array to work with
|
||||
# don't use int/long to avoid running into bpo-10746
|
||||
N = 100
|
||||
a = np.arange(N, dtype=np.short)
|
||||
|
||||
# get pointer to array
|
||||
pnt = np.ctypeslib.as_ctypes(a)
|
||||
|
||||
with np.testing.assert_no_gc_cycles():
|
||||
# decay the array above to a pointer to its first element
|
||||
newpnt = ctypes.cast(pnt, ctypes.POINTER(ctypes.c_short))
|
||||
# and construct an array using this data
|
||||
b = np.ctypeslib.as_array(newpnt, (N,))
|
||||
# now delete both, which should cleanup both objects
|
||||
del newpnt, b
|
||||
|
||||
def test_segmentation_fault(self):
|
||||
arr = np.zeros((224, 224, 3))
|
||||
c_arr = np.ctypeslib.as_ctypes(arr)
|
||||
arr_ref = weakref.ref(arr)
|
||||
del arr
|
||||
|
||||
# check the reference wasn't cleaned up
|
||||
assert_(arr_ref() is not None)
|
||||
|
||||
# check we avoid the segfault
|
||||
c_arr[0][0][0]
|
||||
|
||||
|
||||
@pytest.mark.skipif(ctypes is None,
|
||||
reason="ctypes not available on this python installation")
|
||||
class TestAsCtypesType:
|
||||
""" Test conversion from dtypes to ctypes types """
|
||||
def test_scalar(self):
|
||||
dt = np.dtype('<u2')
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_equal(ct, ctypes.c_uint16.__ctype_le__)
|
||||
|
||||
dt = np.dtype('>u2')
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_equal(ct, ctypes.c_uint16.__ctype_be__)
|
||||
|
||||
dt = np.dtype('u2')
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_equal(ct, ctypes.c_uint16)
|
||||
|
||||
def test_subarray(self):
|
||||
dt = np.dtype((np.int32, (2, 3)))
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_equal(ct, 2 * (3 * ctypes.c_int32))
|
||||
|
||||
def test_structure(self):
|
||||
dt = np.dtype([
|
||||
('a', np.uint16),
|
||||
('b', np.uint32),
|
||||
])
|
||||
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_(issubclass(ct, ctypes.Structure))
|
||||
assert_equal(ctypes.sizeof(ct), dt.itemsize)
|
||||
assert_equal(ct._fields_, [
|
||||
('a', ctypes.c_uint16),
|
||||
('b', ctypes.c_uint32),
|
||||
])
|
||||
|
||||
def test_structure_aligned(self):
|
||||
dt = np.dtype([
|
||||
('a', np.uint16),
|
||||
('b', np.uint32),
|
||||
], align=True)
|
||||
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_(issubclass(ct, ctypes.Structure))
|
||||
assert_equal(ctypes.sizeof(ct), dt.itemsize)
|
||||
assert_equal(ct._fields_, [
|
||||
('a', ctypes.c_uint16),
|
||||
('', ctypes.c_char * 2), # padding
|
||||
('b', ctypes.c_uint32),
|
||||
])
|
||||
|
||||
def test_union(self):
|
||||
dt = np.dtype(dict(
|
||||
names=['a', 'b'],
|
||||
offsets=[0, 0],
|
||||
formats=[np.uint16, np.uint32]
|
||||
))
|
||||
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_(issubclass(ct, ctypes.Union))
|
||||
assert_equal(ctypes.sizeof(ct), dt.itemsize)
|
||||
assert_equal(ct._fields_, [
|
||||
('a', ctypes.c_uint16),
|
||||
('b', ctypes.c_uint32),
|
||||
])
|
||||
|
||||
def test_padded_union(self):
|
||||
dt = np.dtype(dict(
|
||||
names=['a', 'b'],
|
||||
offsets=[0, 0],
|
||||
formats=[np.uint16, np.uint32],
|
||||
itemsize=5,
|
||||
))
|
||||
|
||||
ct = np.ctypeslib.as_ctypes_type(dt)
|
||||
assert_(issubclass(ct, ctypes.Union))
|
||||
assert_equal(ctypes.sizeof(ct), dt.itemsize)
|
||||
assert_equal(ct._fields_, [
|
||||
('a', ctypes.c_uint16),
|
||||
('b', ctypes.c_uint32),
|
||||
('', ctypes.c_char * 5), # padding
|
||||
])
|
||||
|
||||
def test_overlapping(self):
|
||||
dt = np.dtype(dict(
|
||||
names=['a', 'b'],
|
||||
offsets=[0, 2],
|
||||
formats=[np.uint32, np.uint32]
|
||||
))
|
||||
assert_raises(NotImplementedError, np.ctypeslib.as_ctypes_type, dt)
|
||||
@ -0,0 +1,38 @@
|
||||
import sys
|
||||
import importlib
|
||||
from importlib.util import LazyLoader, find_spec, module_from_spec
|
||||
import pytest
|
||||
|
||||
|
||||
# Warning raised by _reload_guard() in numpy/__init__.py
|
||||
@pytest.mark.filterwarnings("ignore:The NumPy module was reloaded")
|
||||
def test_lazy_load():
|
||||
# gh-22045. lazyload doesn't import submodule names into the namespace
|
||||
# muck with sys.modules to test the importing system
|
||||
old_numpy = sys.modules.pop("numpy")
|
||||
|
||||
numpy_modules = {}
|
||||
for mod_name, mod in list(sys.modules.items()):
|
||||
if mod_name[:6] == "numpy.":
|
||||
numpy_modules[mod_name] = mod
|
||||
sys.modules.pop(mod_name)
|
||||
|
||||
try:
|
||||
# create lazy load of numpy as np
|
||||
spec = find_spec("numpy")
|
||||
module = module_from_spec(spec)
|
||||
sys.modules["numpy"] = module
|
||||
loader = LazyLoader(spec.loader)
|
||||
loader.exec_module(module)
|
||||
np = module
|
||||
|
||||
# test a subpackage import
|
||||
from numpy.lib import recfunctions
|
||||
|
||||
# test triggering the import of the package
|
||||
np.ndarray
|
||||
|
||||
finally:
|
||||
if old_numpy:
|
||||
sys.modules["numpy"] = old_numpy
|
||||
sys.modules.update(numpy_modules)
|
||||
58
venv/lib/python3.12/site-packages/numpy/tests/test_matlib.py
Normal file
58
venv/lib/python3.12/site-packages/numpy/tests/test_matlib.py
Normal file
@ -0,0 +1,58 @@
|
||||
import numpy as np
|
||||
import numpy.matlib
|
||||
from numpy.testing import assert_array_equal, assert_
|
||||
|
||||
def test_empty():
|
||||
x = numpy.matlib.empty((2,))
|
||||
assert_(isinstance(x, np.matrix))
|
||||
assert_(x.shape, (1, 2))
|
||||
|
||||
def test_ones():
|
||||
assert_array_equal(numpy.matlib.ones((2, 3)),
|
||||
np.matrix([[ 1., 1., 1.],
|
||||
[ 1., 1., 1.]]))
|
||||
|
||||
assert_array_equal(numpy.matlib.ones(2), np.matrix([[ 1., 1.]]))
|
||||
|
||||
def test_zeros():
|
||||
assert_array_equal(numpy.matlib.zeros((2, 3)),
|
||||
np.matrix([[ 0., 0., 0.],
|
||||
[ 0., 0., 0.]]))
|
||||
|
||||
assert_array_equal(numpy.matlib.zeros(2), np.matrix([[ 0., 0.]]))
|
||||
|
||||
def test_identity():
|
||||
x = numpy.matlib.identity(2, dtype=int)
|
||||
assert_array_equal(x, np.matrix([[1, 0], [0, 1]]))
|
||||
|
||||
def test_eye():
|
||||
xc = numpy.matlib.eye(3, k=1, dtype=int)
|
||||
assert_array_equal(xc, np.matrix([[ 0, 1, 0],
|
||||
[ 0, 0, 1],
|
||||
[ 0, 0, 0]]))
|
||||
assert xc.flags.c_contiguous
|
||||
assert not xc.flags.f_contiguous
|
||||
|
||||
xf = numpy.matlib.eye(3, 4, dtype=int, order='F')
|
||||
assert_array_equal(xf, np.matrix([[ 1, 0, 0, 0],
|
||||
[ 0, 1, 0, 0],
|
||||
[ 0, 0, 1, 0]]))
|
||||
assert not xf.flags.c_contiguous
|
||||
assert xf.flags.f_contiguous
|
||||
|
||||
def test_rand():
|
||||
x = numpy.matlib.rand(3)
|
||||
# check matrix type, array would have shape (3,)
|
||||
assert_(x.ndim == 2)
|
||||
|
||||
def test_randn():
|
||||
x = np.matlib.randn(3)
|
||||
# check matrix type, array would have shape (3,)
|
||||
assert_(x.ndim == 2)
|
||||
|
||||
def test_repmat():
|
||||
a1 = np.arange(4)
|
||||
x = numpy.matlib.repmat(a1, 2, 2)
|
||||
y = np.array([[0, 1, 2, 3, 0, 1, 2, 3],
|
||||
[0, 1, 2, 3, 0, 1, 2, 3]])
|
||||
assert_array_equal(x, y)
|
||||
@ -0,0 +1,44 @@
|
||||
"""
|
||||
Check the numpy config is valid.
|
||||
"""
|
||||
import numpy as np
|
||||
import pytest
|
||||
from unittest.mock import Mock, patch
|
||||
|
||||
pytestmark = pytest.mark.skipif(
|
||||
not hasattr(np.__config__, "_built_with_meson"),
|
||||
reason="Requires Meson builds",
|
||||
)
|
||||
|
||||
|
||||
class TestNumPyConfigs:
|
||||
REQUIRED_CONFIG_KEYS = [
|
||||
"Compilers",
|
||||
"Machine Information",
|
||||
"Python Information",
|
||||
]
|
||||
|
||||
@patch("numpy.__config__._check_pyyaml")
|
||||
def test_pyyaml_not_found(self, mock_yaml_importer):
|
||||
mock_yaml_importer.side_effect = ModuleNotFoundError()
|
||||
with pytest.warns(UserWarning):
|
||||
np.show_config()
|
||||
|
||||
def test_dict_mode(self):
|
||||
config = np.show_config(mode="dicts")
|
||||
|
||||
assert isinstance(config, dict)
|
||||
assert all([key in config for key in self.REQUIRED_CONFIG_KEYS]), (
|
||||
"Required key missing,"
|
||||
" see index of `False` with `REQUIRED_CONFIG_KEYS`"
|
||||
)
|
||||
|
||||
def test_invalid_mode(self):
|
||||
with pytest.raises(AttributeError):
|
||||
np.show_config(mode="foo")
|
||||
|
||||
def test_warn_to_add_tests(self):
|
||||
assert len(np.__config__.DisplayModes) == 2, (
|
||||
"New mode detected,"
|
||||
" please add UT if applicable and increment this count"
|
||||
)
|
||||
@ -0,0 +1,54 @@
|
||||
"""
|
||||
Check the numpy version is valid.
|
||||
|
||||
Note that a development version is marked by the presence of 'dev0' or '+'
|
||||
in the version string, all else is treated as a release. The version string
|
||||
itself is set from the output of ``git describe`` which relies on tags.
|
||||
|
||||
Examples
|
||||
--------
|
||||
|
||||
Valid Development: 1.22.0.dev0 1.22.0.dev0+5-g7999db4df2 1.22.0+5-g7999db4df2
|
||||
Valid Release: 1.21.0.rc1, 1.21.0.b1, 1.21.0
|
||||
Invalid: 1.22.0.dev, 1.22.0.dev0-5-g7999db4dfB, 1.21.0.d1, 1.21.a
|
||||
|
||||
Note that a release is determined by the version string, which in turn
|
||||
is controlled by the result of the ``git describe`` command.
|
||||
"""
|
||||
import re
|
||||
|
||||
import numpy as np
|
||||
from numpy.testing import assert_
|
||||
|
||||
|
||||
def test_valid_numpy_version():
|
||||
# Verify that the numpy version is a valid one (no .post suffix or other
|
||||
# nonsense). See gh-6431 for an issue caused by an invalid version.
|
||||
version_pattern = r"^[0-9]+\.[0-9]+\.[0-9]+(a[0-9]|b[0-9]|rc[0-9])?"
|
||||
dev_suffix = r"(\.dev[0-9]+(\+git[0-9]+\.[0-9a-f]+)?)?"
|
||||
res = re.match(version_pattern + dev_suffix + '$', np.__version__)
|
||||
|
||||
assert_(res is not None, np.__version__)
|
||||
|
||||
|
||||
def test_short_version():
|
||||
# Check numpy.short_version actually exists
|
||||
if np.version.release:
|
||||
assert_(np.__version__ == np.version.short_version,
|
||||
"short_version mismatch in release version")
|
||||
else:
|
||||
assert_(np.__version__.split("+")[0] == np.version.short_version,
|
||||
"short_version mismatch in development version")
|
||||
|
||||
|
||||
def test_version_module():
|
||||
contents = set([s for s in dir(np.version) if not s.startswith('_')])
|
||||
expected = set([
|
||||
'full_version',
|
||||
'git_revision',
|
||||
'release',
|
||||
'short_version',
|
||||
'version',
|
||||
])
|
||||
|
||||
assert contents == expected
|
||||
682
venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py
Normal file
682
venv/lib/python3.12/site-packages/numpy/tests/test_public_api.py
Normal file
@ -0,0 +1,682 @@
|
||||
import sys
|
||||
import sysconfig
|
||||
import subprocess
|
||||
import pkgutil
|
||||
import types
|
||||
import importlib
|
||||
import inspect
|
||||
import warnings
|
||||
|
||||
import numpy as np
|
||||
import numpy
|
||||
from numpy.testing import IS_WASM
|
||||
|
||||
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):
|
||||
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',
|
||||
'show_config': 'numpy.__config__.show',
|
||||
}
|
||||
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 [
|
||||
"compat",
|
||||
"compat.py3k",
|
||||
"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",
|
||||
"ma.timer_comparison",
|
||||
"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."""
|
||||
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
|
||||
|
||||
|
||||
if sys.version_info < (3, 12):
|
||||
SKIP_LIST = ["numpy.distutils.msvc9compiler"]
|
||||
else:
|
||||
SKIP_LIST = []
|
||||
|
||||
|
||||
# suppressing warnings from deprecated modules
|
||||
@pytest.mark.filterwarnings("ignore:.*np.compat.*:DeprecationWarning")
|
||||
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 "
|
||||
"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") 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()
|
||||
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", [])
|
||||
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
|
||||
if inspect.ismodule(member):
|
||||
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 typing import Any, Callable, Dict, List, Set, Tuple
|
||||
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] = dict()
|
||||
|
||||
# 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
|
||||
@ -0,0 +1,74 @@
|
||||
import sys
|
||||
import subprocess
|
||||
import textwrap
|
||||
from importlib import reload
|
||||
import pickle
|
||||
|
||||
import pytest
|
||||
|
||||
import numpy.exceptions as ex
|
||||
from numpy.testing import (
|
||||
assert_raises,
|
||||
assert_warns,
|
||||
assert_,
|
||||
assert_equal,
|
||||
IS_WASM,
|
||||
)
|
||||
|
||||
|
||||
def test_numpy_reloading():
|
||||
# gh-7844. Also check that relevant globals retain their identity.
|
||||
import numpy as np
|
||||
import numpy._globals
|
||||
|
||||
_NoValue = np._NoValue
|
||||
VisibleDeprecationWarning = ex.VisibleDeprecationWarning
|
||||
ModuleDeprecationWarning = ex.ModuleDeprecationWarning
|
||||
|
||||
with assert_warns(UserWarning):
|
||||
reload(np)
|
||||
assert_(_NoValue is np._NoValue)
|
||||
assert_(ModuleDeprecationWarning is ex.ModuleDeprecationWarning)
|
||||
assert_(VisibleDeprecationWarning is ex.VisibleDeprecationWarning)
|
||||
|
||||
assert_raises(RuntimeError, reload, numpy._globals)
|
||||
with assert_warns(UserWarning):
|
||||
reload(np)
|
||||
assert_(_NoValue is np._NoValue)
|
||||
assert_(ModuleDeprecationWarning is ex.ModuleDeprecationWarning)
|
||||
assert_(VisibleDeprecationWarning is ex.VisibleDeprecationWarning)
|
||||
|
||||
def test_novalue():
|
||||
import numpy as np
|
||||
for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
|
||||
assert_equal(repr(np._NoValue), '<no value>')
|
||||
assert_(pickle.loads(pickle.dumps(np._NoValue,
|
||||
protocol=proto)) is np._NoValue)
|
||||
|
||||
|
||||
@pytest.mark.skipif(IS_WASM, reason="can't start subprocess")
|
||||
def test_full_reimport():
|
||||
"""At the time of writing this, it is *not* truly supported, but
|
||||
apparently enough users rely on it, for it to be an annoying change
|
||||
when it started failing previously.
|
||||
"""
|
||||
# Test within a new process, to ensure that we do not mess with the
|
||||
# global state during the test run (could lead to cryptic test failures).
|
||||
# This is generally unsafe, especially, since we also reload the C-modules.
|
||||
code = textwrap.dedent(r"""
|
||||
import sys
|
||||
from pytest import warns
|
||||
import numpy as np
|
||||
|
||||
for k in list(sys.modules.keys()):
|
||||
if "numpy" in k:
|
||||
del sys.modules[k]
|
||||
|
||||
with warns(UserWarning):
|
||||
import numpy as np
|
||||
""")
|
||||
p = subprocess.run([sys.executable, '-c', code], capture_output=True)
|
||||
if p.returncode:
|
||||
raise AssertionError(
|
||||
f"Non-zero return code: {p.returncode!r}\n\n{p.stderr.decode()}"
|
||||
)
|
||||
@ -0,0 +1,47 @@
|
||||
""" Test scripts
|
||||
|
||||
Test that we can run executable scripts that have been installed with numpy.
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
import pytest
|
||||
from os.path import join as pathjoin, isfile, dirname
|
||||
import subprocess
|
||||
|
||||
import numpy as np
|
||||
from numpy.testing import assert_equal, IS_WASM
|
||||
|
||||
is_inplace = isfile(pathjoin(dirname(np.__file__), '..', 'setup.py'))
|
||||
|
||||
|
||||
def find_f2py_commands():
|
||||
if sys.platform == 'win32':
|
||||
exe_dir = dirname(sys.executable)
|
||||
if exe_dir.endswith('Scripts'): # virtualenv
|
||||
return [os.path.join(exe_dir, 'f2py')]
|
||||
else:
|
||||
return [os.path.join(exe_dir, "Scripts", 'f2py')]
|
||||
else:
|
||||
# Three scripts are installed in Unix-like systems:
|
||||
# 'f2py', 'f2py{major}', and 'f2py{major.minor}'. For example,
|
||||
# if installed with python3.9 the scripts would be named
|
||||
# 'f2py', 'f2py3', and 'f2py3.9'.
|
||||
version = sys.version_info
|
||||
major = str(version.major)
|
||||
minor = str(version.minor)
|
||||
return ['f2py', 'f2py' + major, 'f2py' + major + '.' + minor]
|
||||
|
||||
|
||||
@pytest.mark.skipif(is_inplace, reason="Cannot test f2py command inplace")
|
||||
@pytest.mark.xfail(reason="Test is unreliable")
|
||||
@pytest.mark.parametrize('f2py_cmd', find_f2py_commands())
|
||||
def test_f2py(f2py_cmd):
|
||||
# test that we can run f2py script
|
||||
stdout = subprocess.check_output([f2py_cmd, '-v'])
|
||||
assert_equal(stdout.strip(), np.__version__.encode('ascii'))
|
||||
|
||||
|
||||
@pytest.mark.skipif(IS_WASM, reason="Cannot start subprocess")
|
||||
def test_pep338():
|
||||
stdout = subprocess.check_output([sys.executable, '-mnumpy.f2py', '-v'])
|
||||
assert_equal(stdout.strip(), np.__version__.encode('ascii'))
|
||||
@ -0,0 +1,76 @@
|
||||
"""
|
||||
Tests which scan for certain occurrences in the code, they may not find
|
||||
all of these occurrences but should catch almost all.
|
||||
"""
|
||||
import pytest
|
||||
|
||||
from pathlib import Path
|
||||
import ast
|
||||
import tokenize
|
||||
import numpy
|
||||
|
||||
class ParseCall(ast.NodeVisitor):
|
||||
def __init__(self):
|
||||
self.ls = []
|
||||
|
||||
def visit_Attribute(self, node):
|
||||
ast.NodeVisitor.generic_visit(self, node)
|
||||
self.ls.append(node.attr)
|
||||
|
||||
def visit_Name(self, node):
|
||||
self.ls.append(node.id)
|
||||
|
||||
|
||||
class FindFuncs(ast.NodeVisitor):
|
||||
def __init__(self, filename):
|
||||
super().__init__()
|
||||
self.__filename = filename
|
||||
|
||||
def visit_Call(self, node):
|
||||
p = ParseCall()
|
||||
p.visit(node.func)
|
||||
ast.NodeVisitor.generic_visit(self, node)
|
||||
|
||||
if p.ls[-1] == 'simplefilter' or p.ls[-1] == 'filterwarnings':
|
||||
if node.args[0].value == "ignore":
|
||||
raise AssertionError(
|
||||
"warnings should have an appropriate stacklevel; found in "
|
||||
"{} on line {}".format(self.__filename, node.lineno))
|
||||
|
||||
if p.ls[-1] == 'warn' and (
|
||||
len(p.ls) == 1 or p.ls[-2] == 'warnings'):
|
||||
|
||||
if "testing/tests/test_warnings.py" == self.__filename:
|
||||
# This file
|
||||
return
|
||||
|
||||
# See if stacklevel exists:
|
||||
if len(node.args) == 3:
|
||||
return
|
||||
args = {kw.arg for kw in node.keywords}
|
||||
if "stacklevel" in args:
|
||||
return
|
||||
raise AssertionError(
|
||||
"warnings should have an appropriate stacklevel; found in "
|
||||
"{} on line {}".format(self.__filename, node.lineno))
|
||||
|
||||
|
||||
@pytest.mark.slow
|
||||
def test_warning_calls():
|
||||
# combined "ignore" and stacklevel error
|
||||
base = Path(numpy.__file__).parent
|
||||
|
||||
for path in base.rglob("*.py"):
|
||||
if base / "testing" in path.parents:
|
||||
continue
|
||||
if path == base / "__init__.py":
|
||||
continue
|
||||
if path == base / "random" / "__init__.py":
|
||||
continue
|
||||
if path == base / "conftest.py":
|
||||
continue
|
||||
# use tokenize to auto-detect encoding on systems where no
|
||||
# default encoding is defined (e.g. LANG='C')
|
||||
with tokenize.open(str(path)) as file:
|
||||
tree = ast.parse(file.read())
|
||||
FindFuncs(path).visit(tree)
|
||||
Reference in New Issue
Block a user