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