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2021-09-16 10:54
test_api.py
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test_api.pyc
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test_arrayprint.py
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test_blasdot.py
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test_datetime.py
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test_defchararray.py
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test_dtype.py
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test_einsum.py
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test_errstate.py
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test_function_base.py
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test_getlimits.py
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test_half.py
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test_half.pyc
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test_indexerrors.py
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test_indexing.py
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test_item_selection.py
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test_machar.py
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test_memmap.py
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test_multiarray.py
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test_multiarray.pyc
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test_multiarray.pyo
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test_multiarray_assignment.py
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test_multiarray_assignment.pyc
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test_nditer.py
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test_nditer.pyc
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test_numeric.py
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test_numeric.pyc
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test_numerictypes.py
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test_numerictypes.pyc
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test_print.py
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test_print.pyc
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test_records.py
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test_records.pyc
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test_records.pyo
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test_regression.py
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test_regression.pyc
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test_regression.pyo
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test_scalarmath.py
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test_scalarmath.pyc
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test_scalarmath.pyo
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test_shape_base.py
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test_shape_base.pyc
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test_shape_base.pyo
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test_ufunc.py
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test_ufunc.pyc
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test_ufunc.pyo
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test_umath.py
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test_umath.pyc
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test_umath_complex.py
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test_umath_complex.pyc
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test_umath_complex.pyo
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test_unicode.py
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test_unicode.pyc
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test_unicode.pyo
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Save
Rename
import numpy as np import sys from numpy.core import zeros, float64 from numpy.testing import dec, TestCase, assert_almost_equal, assert_, \ assert_raises, assert_array_equal, assert_allclose, assert_equal from numpy.core.multiarray import inner as inner_ DECPREC = 14 class TestInner(TestCase): def test_vecself(self): """Ticket 844.""" # Inner product of a vector with itself segfaults or give meaningless # result a = zeros(shape = (1, 80), dtype = float64) p = inner_(a, a) assert_almost_equal(p, 0, decimal = DECPREC) try: import numpy.core._dotblas as _dotblas except ImportError: _dotblas = None @dec.skipif(_dotblas is None, "Numpy is not compiled with _dotblas") def test_blasdot_used(): from numpy.core import dot, vdot, inner, alterdot, restoredot assert_(dot is _dotblas.dot) assert_(vdot is _dotblas.vdot) assert_(inner is _dotblas.inner) assert_(alterdot is _dotblas.alterdot) assert_(restoredot is _dotblas.restoredot) def test_dot_2args(): from numpy.core import dot a = np.array([[1, 2], [3, 4]], dtype=float) b = np.array([[1, 0], [1, 1]], dtype=float) c = np.array([[3, 2], [7, 4]], dtype=float) d = dot(a, b) assert_allclose(c, d) def test_dot_3args(): np.random.seed(22) f = np.random.random_sample((1024, 16)) v = np.random.random_sample((16, 32)) r = np.empty((1024, 32)) for i in xrange(12): np.dot(f,v,r) assert_equal(sys.getrefcount(r), 2) r2 = np.dot(f,v,out=None) assert_array_equal(r2, r) assert_(r is np.dot(f,v,out=r)) v = v[:,0].copy() # v.shape == (16,) r = r[:,0].copy() # r.shape == (1024,) r2 = np.dot(f,v) assert_(r is np.dot(f,v,r)) assert_array_equal(r2, r) def test_dot_3args_errors(): np.random.seed(22) f = np.random.random_sample((1024, 16)) v = np.random.random_sample((16, 32)) r = np.empty((1024, 31)) assert_raises(ValueError, np.dot, f, v, r) r = np.empty((1024,)) assert_raises(ValueError, np.dot, f, v, r) r = np.empty((32,)) assert_raises(ValueError, np.dot, f, v, r) r = np.empty((32, 1024)) assert_raises(ValueError, np.dot, f, v, r) assert_raises(ValueError, np.dot, f, v, r.T) r = np.empty((1024, 64)) assert_raises(ValueError, np.dot, f, v, r[:,::2]) assert_raises(ValueError, np.dot, f, v, r[:,:32]) r = np.empty((1024, 32), dtype=np.float32) assert_raises(ValueError, np.dot, f, v, r) r = np.empty((1024, 32), dtype=int) assert_raises(ValueError, np.dot, f, v, r)