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| test_matrix.M = eigenpy.emptyMatrix() |
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| test_matrix.M33 = eigenpy.naturals33(verbose) |
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| test_matrix.mat = np.arange(0, 10).reshape(2, 5) |
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| test_matrix.mat1x1 = eigenpy.matrix1x1(value) |
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| test_matrix.mat6 = eigenpy.matrix6(0.0) |
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| test_matrix.Mcheck = np.reshape(np.array(range(9), np.double), [3, 3]) |
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| test_matrix.Mref = np.reshape(np.array(range(64), np.double), [8, 8]) |
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| test_matrix.Mref_from_base = eigenpy.base(Mref) |
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| test_matrix.Mref_from_plain = eigenpy.plain(Mref) |
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| test_matrix.v = eigenpy.emptyVector() |
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float | test_matrix.value = 2.0 |
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| test_matrix.vcheck = np.array(range(3), np.double).T |
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| test_matrix.vec = np.arange(0, 10) |
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| test_matrix.vec1x1 = eigenpy.vector1x1(value) |
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bool | test_matrix.verbose = True |
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