pybind11/tests/test_eigen.py

10     ref = np.array([[ 0.,  3,  0,  0,  0, 11],
44     ref2 = np.array([[0., 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]])
89         m.fixed_mutator_a(np.array([[1, 2], [3, 4]], dtype='float32'))
102     z = np.array([[5., 6], [7, 8]])
156     copy or const reference, we can pass a numpy array that has negative strides.  Otherwise, an
157     exception will be thrown as Eigen will not be able to map the numpy array."""
184         Invoked with: """ + repr(np.array([ 5.,  4.,  3.], dtype='float32'))  # noqa: E501 line too long
192         Invoked with: """ + repr(np.array([ 7.,  4.,  1.], dtype='float32'))  # noqa: E501 line too long
209         mymat = chol(np.array([[1., 2, 4], [2, 13, 23], [4, 23, 77]]))
210         assert np.all(mymat == np.array([[1, 0, 0], [2, 3, 0], [4, 5, 6]])), "cholesky{}".format(i)
219     z = np.array(a, copy=True)
376     orig = np.array([[1., 2, 3], [4, 5, 6], [7, 8, 9]])
377     zr = np.array(orig)
378     zc = np.array(orig, order='F')
380     assert np.all(zr == np.array([[1., 2, 3], [104, 5, 6], [7, 8, 9]]))
382     assert np.all(zc == np.array([[1., 2, 3], [204, 5, 6], [7, 8, 9]]))
385     assert np.all(zr == np.array([[1., 2, 3], [124, 5, 6], [7, 8, 9]]))
387     assert np.all(zc == np.array([[1., 2, 3], [214, 5, 6], [7, 8, 9]]))
389     # Can't reference a col-major array with a row-major Ref, and vice versa:
408     assert np.all(cornersr == np.array([[1., 3], [7, 9]]))
409     assert np.all(cornersc == np.array([[1., 3], [7, 9]]))
421     assert np.all(zr == np.array([[1., 2, 28], [4, 5, 6], [7, 8, 9]]))
422     assert np.all(zc == np.array([[1., 2, 47], [4, 5, 6], [7, 8, 9]]))
424     # You shouldn't be allowed to pass a non-writeable array to a mutating Eigen method:
436     # integer array shouldn't be passable to a double-matrix-accepting mutating func:
437     zi = np.array([[1, 2], [3, 4]])
460     expect = np.array([[11., 12, 13], [21, 22, 99], [31, 32, 33]])
479     y1 = np.array(m.get_cm_const_ref())
508     expect = np.array([[0., 22, 20], [31, 37, 33], [41, 42, 38]])
511     y = np.array(range(100), dtype='float64').reshape(10, 10)
519     yexpect = np.array(range(100), dtype='float64').reshape(10, 10)
534     int_matrix_colmajor = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], order='F')
535     dbl_matrix_colmajor = np.array(int_matrix_colmajor, dtype='double', order='F', copy=True)
536     int_matrix_rowmajor = np.array(int_matrix_colmajor, order='C', copy=True)
537     dbl_matrix_rowmajor = np.array(int_matrix_rowmajor, dtype='double', order='C', copy=True)
580     happen both for directs casts (just the array) or indirectly (e.g. list of arrays).
593     asymm = np.array([[ 1.,  2,  3,  4],
597     symm_lower = np.array(asymm)
598     symm_upper = np.array(asymm)
624     a = np.array([[1.0, 2], [3, 4], [5, 6]])
627     assert np.all(m.matrix_multiply(a, b) == np.array([[3.], [7], [11]]))
628     assert np.all(m.matrix_multiply(A=a, B=b) == np.array([[3.], [7], [11]]))
629     assert np.all(m.matrix_multiply(B=b, A=a) == np.array([[3.], [7], [11]]))
666     assert np.all(m.iss738_f1(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]]))
667     assert np.all(m.iss738_f1(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]]))
669     assert np.all(m.iss738_f2(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]]))
670     assert np.all(m.iss738_f2(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]]))