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ranranrunforit/build-small-hackathon-storage / pylibs /numpy /matrixlib /tests /test_matrix_linalg.py
| """ Test functions for linalg module using the matrix class.""" | |
| import pytest | |
| import numpy as np | |
| from numpy.linalg.tests.test_linalg import ( | |
| CondCases, | |
| DetCases, | |
| EigCases, | |
| EigvalsCases, | |
| InvCases, | |
| LinalgCase, | |
| LinalgTestCase, | |
| LstsqCases, | |
| PinvCases, | |
| SolveCases, | |
| SVDCases, | |
| TestQR as _TestQR, | |
| _TestNorm2D, | |
| _TestNormDoubleBase, | |
| _TestNormInt64Base, | |
| _TestNormSingleBase, | |
| apply_tag, | |
| ) | |
| CASES = [] | |
| # square test cases | |
| CASES += apply_tag('square', [ | |
| LinalgCase("0x0_matrix", | |
| np.empty((0, 0), dtype=np.double).view(np.matrix), | |
| np.empty((0, 1), dtype=np.double).view(np.matrix), | |
| tags={'size-0'}), | |
| LinalgCase("matrix_b_only", | |
| np.array([[1., 2.], [3., 4.]]), | |
| np.matrix([2., 1.]).T), | |
| LinalgCase("matrix_a_and_b", | |
| np.matrix([[1., 2.], [3., 4.]]), | |
| np.matrix([2., 1.]).T), | |
| ]) | |
| # hermitian test-cases | |
| CASES += apply_tag('hermitian', [ | |
| LinalgCase("hmatrix_a_and_b", | |
| np.matrix([[1., 2.], [2., 1.]]), | |
| None), | |
| ]) | |
| # No need to make generalized or strided cases for matrices. | |
| class MatrixTestCase(LinalgTestCase): | |
| TEST_CASES = CASES | |
| class TestSolveMatrix(SolveCases, MatrixTestCase): | |
| pass | |
| class TestInvMatrix(InvCases, MatrixTestCase): | |
| pass | |
| class TestEigvalsMatrix(EigvalsCases, MatrixTestCase): | |
| pass | |
| class TestEigMatrix(EigCases, MatrixTestCase): | |
| pass | |
| class TestSVDMatrix(SVDCases, MatrixTestCase): | |
| pass | |
| class TestCondMatrix(CondCases, MatrixTestCase): | |
| pass | |
| class TestPinvMatrix(PinvCases, MatrixTestCase): | |
| pass | |
| class TestDetMatrix(DetCases, MatrixTestCase): | |
| pass | |
| class TestLstsqMatrix(LstsqCases, MatrixTestCase): | |
| pass | |
| class _TestNorm2DMatrix(_TestNorm2D): | |
| array = np.matrix | |
| class TestNormDoubleMatrix(_TestNorm2DMatrix, _TestNormDoubleBase): | |
| pass | |
| class TestNormSingleMatrix(_TestNorm2DMatrix, _TestNormSingleBase): | |
| pass | |
| class TestNormInt64Matrix(_TestNorm2DMatrix, _TestNormInt64Base): | |
| pass | |
| class TestQRMatrix(_TestQR): | |
| array = np.matrix | |
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