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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()