Current File : //proc/self/root/opt/alt/python37/lib64/python3.7/site-packages/numpy/tests/test_ctypeslib.py
from __future__ import division, absolute_import, print_function
import sys
import numpy as np
from numpy.ctypeslib import ndpointer, load_library
from numpy.distutils.misc_util import get_shared_lib_extension
from numpy.testing import TestCase, run_module_suite, dec
try:
cdll = None
if hasattr(sys, 'gettotalrefcount'):
try:
cdll = load_library('multiarray_d', np.core.multiarray.__file__)
except OSError:
pass
if cdll is None:
cdll = load_library('multiarray', np.core.multiarray.__file__)
_HAS_CTYPE = True
except ImportError:
_HAS_CTYPE = False
class TestLoadLibrary(TestCase):
@dec.skipif(not _HAS_CTYPE,
"ctypes not available on this python installation")
@dec.knownfailureif(sys.platform ==
'cygwin', "This test is known to fail on cygwin")
def test_basic(self):
try:
# Should succeed
load_library('multiarray', np.core.multiarray.__file__)
except ImportError as e:
msg = ("ctypes is not available on this python: skipping the test"
" (import error was: %s)" % str(e))
print(msg)
@dec.skipif(not _HAS_CTYPE,
"ctypes not available on this python installation")
@dec.knownfailureif(sys.platform ==
'cygwin', "This test is known to fail on cygwin")
def test_basic2(self):
# Regression for #801: load_library with a full library name
# (including extension) does not work.
try:
try:
so = get_shared_lib_extension(is_python_ext=True)
# Should succeed
load_library('multiarray%s' % so, np.core.multiarray.__file__)
except ImportError:
print("No distutils available, skipping test.")
except ImportError as e:
msg = ("ctypes is not available on this python: skipping the test"
" (import error was: %s)" % str(e))
print(msg)
class TestNdpointer(TestCase):
def test_dtype(self):
dt = np.intc
p = ndpointer(dtype=dt)
self.assertTrue(p.from_param(np.array([1], dt)))
dt = '<i4'
p = ndpointer(dtype=dt)
self.assertTrue(p.from_param(np.array([1], dt)))
dt = np.dtype('>i4')
p = ndpointer(dtype=dt)
p.from_param(np.array([1], dt))
self.assertRaises(TypeError, p.from_param,
np.array([1], dt.newbyteorder('swap')))
dtnames = ['x', 'y']
dtformats = [np.intc, np.float64]
dtdescr = {'names': dtnames, 'formats': dtformats}
dt = np.dtype(dtdescr)
p = ndpointer(dtype=dt)
self.assertTrue(p.from_param(np.zeros((10,), dt)))
samedt = np.dtype(dtdescr)
p = ndpointer(dtype=samedt)
self.assertTrue(p.from_param(np.zeros((10,), dt)))
dt2 = np.dtype(dtdescr, align=True)
if dt.itemsize != dt2.itemsize:
self.assertRaises(TypeError, p.from_param, np.zeros((10,), dt2))
else:
self.assertTrue(p.from_param(np.zeros((10,), dt2)))
def test_ndim(self):
p = ndpointer(ndim=0)
self.assertTrue(p.from_param(np.array(1)))
self.assertRaises(TypeError, p.from_param, np.array([1]))
p = ndpointer(ndim=1)
self.assertRaises(TypeError, p.from_param, np.array(1))
self.assertTrue(p.from_param(np.array([1])))
p = ndpointer(ndim=2)
self.assertTrue(p.from_param(np.array([[1]])))
def test_shape(self):
p = ndpointer(shape=(1, 2))
self.assertTrue(p.from_param(np.array([[1, 2]])))
self.assertRaises(TypeError, p.from_param, np.array([[1], [2]]))
p = ndpointer(shape=())
self.assertTrue(p.from_param(np.array(1)))
def test_flags(self):
x = np.array([[1, 2], [3, 4]], order='F')
p = ndpointer(flags='FORTRAN')
self.assertTrue(p.from_param(x))
p = ndpointer(flags='CONTIGUOUS')
self.assertRaises(TypeError, p.from_param, x)
p = ndpointer(flags=x.flags.num)
self.assertTrue(p.from_param(x))
self.assertRaises(TypeError, p.from_param, np.array([[1, 2], [3, 4]]))
def test_cache(self):
a1 = ndpointer(dtype=np.float64)
a2 = ndpointer(dtype=np.float64)
self.assertEqual(a1, a2)
if __name__ == "__main__":
run_module_suite()
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