comparison DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/linalg/tests/test_regression.py @ 87:2a2c65a20a8b

Add Python libs and headers

+""" Test functions for linalg module
+"""
+from __future__ import division, absolute_import, print_function
+
+
+from numpy.testing import *
+import numpy as np
+from numpy import linalg, arange, float64, array, dot, transpose
+
+rlevel = 1
+
+class TestRegression(TestCase):
+    def test_eig_build(self, level = rlevel):
+        """Ticket #652"""
+        rva = array([1.03221168e+02 +0.j,
+               -1.91843603e+01 +0.j,
+               -6.04004526e-01+15.84422474j,
+               -6.04004526e-01-15.84422474j,
+               -1.13692929e+01 +0.j,
+               -6.57612485e-01+10.41755503j,
+               -6.57612485e-01-10.41755503j,
+               1.82126812e+01 +0.j,
+               1.06011014e+01 +0.j,
+               7.80732773e+00 +0.j,
+               -7.65390898e-01 +0.j,
+               1.51971555e-15 +0.j,
+               -1.51308713e-15 +0.j])
+        a = arange(13*13, dtype = float64)
+        a.shape = (13, 13)
+        a = a%17
+        va, ve = linalg.eig(a)
+        va.sort()
+        rva.sort()
+        assert_array_almost_equal(va, rva)
+
+    def test_eigh_build(self, level = rlevel):
+        """Ticket 662."""
+        rvals = [68.60568999, 89.57756725, 106.67185574]
+
+        cov = array([[ 77.70273908,   3.51489954,  15.64602427],
+                     [3.51489954,  88.97013878,  -1.07431931],
+                     [15.64602427,  -1.07431931,  98.18223512]])
+
+        vals, vecs = linalg.eigh(cov)
+        assert_array_almost_equal(vals, rvals)
+
+    def test_svd_build(self, level = rlevel):
+        """Ticket 627."""
+        a = array([[ 0., 1.], [ 1., 1.], [ 2., 1.], [ 3., 1.]])
+        m, n = a.shape
+        u, s, vh = linalg.svd(a)
+
+        b = dot(transpose(u[:, n:]), a)
+
+        assert_array_almost_equal(b, np.zeros((2, 2)))
+
+    def test_norm_vector_badarg(self):
+        """Regression for #786: Froebenius norm for vectors raises
+        TypeError."""
+        self.assertRaises(ValueError, linalg.norm, array([1., 2., 3.]), 'fro')
+
+    def test_lapack_endian(self):
+        # For bug #1482
+        a = array([[5.7998084,  -2.1825367 ],
+                   [-2.1825367,   9.85910595]], dtype='>f8')
+        b = array(a, dtype='<f8')
+
+        ap = linalg.cholesky(a)
+        bp = linalg.cholesky(b)
+        assert_array_equal(ap, bp)
+
+    def test_large_svd_32bit(self):
+        # See gh-4442, 64bit would require very large/slow matrices.
+        x = np.eye(1000, 66)
+        np.linalg.svd(x)
+
+    def test_svd_no_uv(self):
+        # gh-4733
+        for shape in (3, 4), (4, 4), (4, 3):
+            for t in float, complex:
+                a = np.ones(shape, dtype=t)
+                w = linalg.svd(a, compute_uv=False)
+                c = np.count_nonzero(np.absolute(w) > 0.5)
+                assert_equal(c, 1)
+                assert_equal(np.linalg.matrix_rank(a), 1)
+                assert_array_less(1, np.linalg.norm(a, ord=2))
+
+
+if __name__ == '__main__':
+    run_module_suite()