ÿØÿàJFIFÿþ ÿÛC       ÿÛC ÿÀÿÄÿÄ"#QrÿÄÿÄ&1!A"2qQaáÿÚ ?Øy,æ/3JæÝ¹È߲؋5êXw²±ÉyˆR”¾I0ó2—PI¾IÌÚiMö¯–þrìN&"KgX:Šíµ•nTJnLK„…@!‰-ý ùúmë;ºgµŒ&ó±hw’¯Õ@”Ü— 9ñ-ë.²1<yà‚¹ïQÐU„ہ?.’¦èûbß±©Ö«Âw*VŒ) `$‰bØÔŸ’ëXÖ-ËTÜíGÚ3ð«g Ÿ§¯—Jx„–’U/ÂÅv_s(Hÿ@TñJÑãõçn­‚!ÈgfbÓc­:él[ðQe 9ÀPLbÃãCµm[5¿ç'ªjglå‡Ûí_§Úõl-;"PkÞÞÁQâ¼_Ñ^¢SŸx?"¸¦ùY騐ÒOÈ q’`~~ÚtËU¹CڒêV  I1Áß_ÿÙimport numpy as np from numpy.testing import assert_, assert_equal, assert_raises class TestRegression: def test_kron_matrix(self): # Ticket #71 x = np.matrix('[1 0; 1 0]') assert_equal(type(np.kron(x, x)), type(x)) def test_matrix_properties(self): # Ticket #125 a = np.matrix([1.0], dtype=float) assert_(type(a.real) is np.matrix) assert_(type(a.imag) is np.matrix) c, d = np.matrix([0.0]).nonzero() assert_(type(c) is np.ndarray) assert_(type(d) is np.ndarray) def test_matrix_multiply_by_1d_vector(self): # Ticket #473 def mul(): np.mat(np.eye(2))*np.ones(2) assert_raises(ValueError, mul) def test_matrix_std_argmax(self): # Ticket #83 x = np.asmatrix(np.random.uniform(0, 1, (3, 3))) assert_equal(x.std().shape, ()) assert_equal(x.argmax().shape, ())