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Diffstat (limited to '3rdparty/pybind11/tests/test_eigen.py')
| -rw-r--r-- | 3rdparty/pybind11/tests/test_eigen.py | 694 |
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diff --git a/3rdparty/pybind11/tests/test_eigen.py b/3rdparty/pybind11/tests/test_eigen.py new file mode 100644 index 00000000..55d93517 --- /dev/null +++ b/3rdparty/pybind11/tests/test_eigen.py @@ -0,0 +1,694 @@ +import pytest +from pybind11_tests import ConstructorStats + +pytestmark = pytest.requires_eigen_and_numpy + +with pytest.suppress(ImportError): + from pybind11_tests import eigen as m + import numpy as np + + ref = np.array([[ 0., 3, 0, 0, 0, 11], + [22, 0, 0, 0, 17, 11], + [ 7, 5, 0, 1, 0, 11], + [ 0, 0, 0, 0, 0, 11], + [ 0, 0, 14, 0, 8, 11]]) + + +def assert_equal_ref(mat): + np.testing.assert_array_equal(mat, ref) + + +def assert_sparse_equal_ref(sparse_mat): + assert_equal_ref(sparse_mat.toarray()) + + +def test_fixed(): + assert_equal_ref(m.fixed_c()) + assert_equal_ref(m.fixed_r()) + assert_equal_ref(m.fixed_copy_r(m.fixed_r())) + assert_equal_ref(m.fixed_copy_c(m.fixed_c())) + assert_equal_ref(m.fixed_copy_r(m.fixed_c())) + assert_equal_ref(m.fixed_copy_c(m.fixed_r())) + + +def test_dense(): + assert_equal_ref(m.dense_r()) + assert_equal_ref(m.dense_c()) + assert_equal_ref(m.dense_copy_r(m.dense_r())) + assert_equal_ref(m.dense_copy_c(m.dense_c())) + assert_equal_ref(m.dense_copy_r(m.dense_c())) + assert_equal_ref(m.dense_copy_c(m.dense_r())) + + +def test_partially_fixed(): + ref2 = np.array([[0., 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]) + np.testing.assert_array_equal(m.partial_copy_four_rm_r(ref2), ref2) + np.testing.assert_array_equal(m.partial_copy_four_rm_c(ref2), ref2) + np.testing.assert_array_equal(m.partial_copy_four_rm_r(ref2[:, 1]), ref2[:, [1]]) + np.testing.assert_array_equal(m.partial_copy_four_rm_c(ref2[0, :]), ref2[[0], :]) + np.testing.assert_array_equal(m.partial_copy_four_rm_r(ref2[:, (0, 2)]), ref2[:, (0, 2)]) + np.testing.assert_array_equal( + m.partial_copy_four_rm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]) + + np.testing.assert_array_equal(m.partial_copy_four_cm_r(ref2), ref2) + np.testing.assert_array_equal(m.partial_copy_four_cm_c(ref2), ref2) + np.testing.assert_array_equal(m.partial_copy_four_cm_r(ref2[:, 1]), ref2[:, [1]]) + np.testing.assert_array_equal(m.partial_copy_four_cm_c(ref2[0, :]), ref2[[0], :]) + np.testing.assert_array_equal(m.partial_copy_four_cm_r(ref2[:, (0, 2)]), ref2[:, (0, 2)]) + np.testing.assert_array_equal( + m.partial_copy_four_cm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]) + + # TypeError should be raise for a shape mismatch + functions = [m.partial_copy_four_rm_r, m.partial_copy_four_rm_c, + m.partial_copy_four_cm_r, m.partial_copy_four_cm_c] + matrix_with_wrong_shape = [[1, 2], + [3, 4]] + for f in functions: + with pytest.raises(TypeError) as excinfo: + f(matrix_with_wrong_shape) + assert "incompatible function arguments" in str(excinfo.value) + + +def test_mutator_descriptors(): + zr = np.arange(30, dtype='float32').reshape(5, 6) # row-major + zc = zr.reshape(6, 5).transpose() # column-major + + m.fixed_mutator_r(zr) + m.fixed_mutator_c(zc) + m.fixed_mutator_a(zr) + m.fixed_mutator_a(zc) + with pytest.raises(TypeError) as excinfo: + m.fixed_mutator_r(zc) + assert ('(arg0: numpy.ndarray[float32[5, 6], flags.writeable, flags.c_contiguous]) -> None' + in str(excinfo.value)) + with pytest.raises(TypeError) as excinfo: + m.fixed_mutator_c(zr) + assert ('(arg0: numpy.ndarray[float32[5, 6], flags.writeable, flags.f_contiguous]) -> None' + in str(excinfo.value)) + with pytest.raises(TypeError) as excinfo: + m.fixed_mutator_a(np.array([[1, 2], [3, 4]], dtype='float32')) + assert ('(arg0: numpy.ndarray[float32[5, 6], flags.writeable]) -> None' + in str(excinfo.value)) + zr.flags.writeable = False + with pytest.raises(TypeError): + m.fixed_mutator_r(zr) + with pytest.raises(TypeError): + m.fixed_mutator_a(zr) + + +def test_cpp_casting(): + assert m.cpp_copy(m.fixed_r()) == 22. + assert m.cpp_copy(m.fixed_c()) == 22. + z = np.array([[5., 6], [7, 8]]) + assert m.cpp_copy(z) == 7. + assert m.cpp_copy(m.get_cm_ref()) == 21. + assert m.cpp_copy(m.get_rm_ref()) == 21. + assert m.cpp_ref_c(m.get_cm_ref()) == 21. + assert m.cpp_ref_r(m.get_rm_ref()) == 21. + with pytest.raises(RuntimeError) as excinfo: + # Can't reference m.fixed_c: it contains floats, m.cpp_ref_any wants doubles + m.cpp_ref_any(m.fixed_c()) + assert 'Unable to cast Python instance' in str(excinfo.value) + with pytest.raises(RuntimeError) as excinfo: + # Can't reference m.fixed_r: it contains floats, m.cpp_ref_any wants doubles + m.cpp_ref_any(m.fixed_r()) + assert 'Unable to cast Python instance' in str(excinfo.value) + assert m.cpp_ref_any(m.ReturnTester.create()) == 1. + + assert m.cpp_ref_any(m.get_cm_ref()) == 21. + assert m.cpp_ref_any(m.get_cm_ref()) == 21. + + +def test_pass_readonly_array(): + z = np.full((5, 6), 42.0) + z.flags.writeable = False + np.testing.assert_array_equal(z, m.fixed_copy_r(z)) + np.testing.assert_array_equal(m.fixed_r_const(), m.fixed_r()) + assert not m.fixed_r_const().flags.writeable + np.testing.assert_array_equal(m.fixed_copy_r(m.fixed_r_const()), m.fixed_r_const()) + + +def test_nonunit_stride_from_python(): + counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3)) + second_row = counting_mat[1, :] + second_col = counting_mat[:, 1] + np.testing.assert_array_equal(m.double_row(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_col(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_complex(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_row(second_col), 2.0 * second_col) + np.testing.assert_array_equal(m.double_col(second_col), 2.0 * second_col) + np.testing.assert_array_equal(m.double_complex(second_col), 2.0 * second_col) + + counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3)) + slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]] + for slice_idx, ref_mat in enumerate(slices): + np.testing.assert_array_equal(m.double_mat_cm(ref_mat), 2.0 * ref_mat) + np.testing.assert_array_equal(m.double_mat_rm(ref_mat), 2.0 * ref_mat) + + # Mutator: + m.double_threer(second_row) + m.double_threec(second_col) + np.testing.assert_array_equal(counting_mat, [[0., 2, 2], [6, 16, 10], [6, 14, 8]]) + + +def test_negative_stride_from_python(msg): + """Eigen doesn't support (as of yet) negative strides. When a function takes an Eigen matrix by + copy or const reference, we can pass a numpy array that has negative strides. Otherwise, an + exception will be thrown as Eigen will not be able to map the numpy array.""" + + counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3)) + counting_mat = counting_mat[::-1, ::-1] + second_row = counting_mat[1, :] + second_col = counting_mat[:, 1] + np.testing.assert_array_equal(m.double_row(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_col(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_complex(second_row), 2.0 * second_row) + np.testing.assert_array_equal(m.double_row(second_col), 2.0 * second_col) + np.testing.assert_array_equal(m.double_col(second_col), 2.0 * second_col) + np.testing.assert_array_equal(m.double_complex(second_col), 2.0 * second_col) + + counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3)) + counting_3d = counting_3d[::-1, ::-1, ::-1] + slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]] + for slice_idx, ref_mat in enumerate(slices): + np.testing.assert_array_equal(m.double_mat_cm(ref_mat), 2.0 * ref_mat) + np.testing.assert_array_equal(m.double_mat_rm(ref_mat), 2.0 * ref_mat) + + # Mutator: + with pytest.raises(TypeError) as excinfo: + m.double_threer(second_row) + assert msg(excinfo.value) == """ + double_threer(): incompatible function arguments. The following argument types are supported: + 1. (arg0: numpy.ndarray[float32[1, 3], flags.writeable]) -> None + + Invoked with: """ + repr(np.array([ 5., 4., 3.], dtype='float32')) # noqa: E501 line too long + + with pytest.raises(TypeError) as excinfo: + m.double_threec(second_col) + assert msg(excinfo.value) == """ + double_threec(): incompatible function arguments. The following argument types are supported: + 1. (arg0: numpy.ndarray[float32[3, 1], flags.writeable]) -> None + + Invoked with: """ + repr(np.array([ 7., 4., 1.], dtype='float32')) # noqa: E501 line too long + + +def test_nonunit_stride_to_python(): + assert np.all(m.diagonal(ref) == ref.diagonal()) + assert np.all(m.diagonal_1(ref) == ref.diagonal(1)) + for i in range(-5, 7): + assert np.all(m.diagonal_n(ref, i) == ref.diagonal(i)), "m.diagonal_n({})".format(i) + + assert np.all(m.block(ref, 2, 1, 3, 3) == ref[2:5, 1:4]) + assert np.all(m.block(ref, 1, 4, 4, 2) == ref[1:, 4:]) + assert np.all(m.block(ref, 1, 4, 3, 2) == ref[1:4, 4:]) + + +def test_eigen_ref_to_python(): + chols = [m.cholesky1, m.cholesky2, m.cholesky3, m.cholesky4] + for i, chol in enumerate(chols, start=1): + mymat = chol(np.array([[1., 2, 4], [2, 13, 23], [4, 23, 77]])) + assert np.all(mymat == np.array([[1, 0, 0], [2, 3, 0], [4, 5, 6]])), "cholesky{}".format(i) + + +def assign_both(a1, a2, r, c, v): + a1[r, c] = v + a2[r, c] = v + + +def array_copy_but_one(a, r, c, v): + z = np.array(a, copy=True) + z[r, c] = v + return z + + +def test_eigen_return_references(): + """Tests various ways of returning references and non-referencing copies""" + + master = np.ones((10, 10)) + a = m.ReturnTester() + a_get1 = a.get() + assert not a_get1.flags.owndata and a_get1.flags.writeable + assign_both(a_get1, master, 3, 3, 5) + a_get2 = a.get_ptr() + assert not a_get2.flags.owndata and a_get2.flags.writeable + assign_both(a_get1, master, 2, 3, 6) + + a_view1 = a.view() + assert not a_view1.flags.owndata and not a_view1.flags.writeable + with pytest.raises(ValueError): + a_view1[2, 3] = 4 + a_view2 = a.view_ptr() + assert not a_view2.flags.owndata and not a_view2.flags.writeable + with pytest.raises(ValueError): + a_view2[2, 3] = 4 + + a_copy1 = a.copy_get() + assert a_copy1.flags.owndata and a_copy1.flags.writeable + np.testing.assert_array_equal(a_copy1, master) + a_copy1[7, 7] = -44 # Shouldn't affect anything else + c1want = array_copy_but_one(master, 7, 7, -44) + a_copy2 = a.copy_view() + assert a_copy2.flags.owndata and a_copy2.flags.writeable + np.testing.assert_array_equal(a_copy2, master) + a_copy2[4, 4] = -22 # Shouldn't affect anything else + c2want = array_copy_but_one(master, 4, 4, -22) + + a_ref1 = a.ref() + assert not a_ref1.flags.owndata and a_ref1.flags.writeable + assign_both(a_ref1, master, 1, 1, 15) + a_ref2 = a.ref_const() + assert not a_ref2.flags.owndata and not a_ref2.flags.writeable + with pytest.raises(ValueError): + a_ref2[5, 5] = 33 + a_ref3 = a.ref_safe() + assert not a_ref3.flags.owndata and a_ref3.flags.writeable + assign_both(a_ref3, master, 0, 7, 99) + a_ref4 = a.ref_const_safe() + assert not a_ref4.flags.owndata and not a_ref4.flags.writeable + with pytest.raises(ValueError): + a_ref4[7, 0] = 987654321 + + a_copy3 = a.copy_ref() + assert a_copy3.flags.owndata and a_copy3.flags.writeable + np.testing.assert_array_equal(a_copy3, master) + a_copy3[8, 1] = 11 + c3want = array_copy_but_one(master, 8, 1, 11) + a_copy4 = a.copy_ref_const() + assert a_copy4.flags.owndata and a_copy4.flags.writeable + np.testing.assert_array_equal(a_copy4, master) + a_copy4[8, 4] = 88 + c4want = array_copy_but_one(master, 8, 4, 88) + + a_block1 = a.block(3, 3, 2, 2) + assert not a_block1.flags.owndata and a_block1.flags.writeable + a_block1[0, 0] = 55 + master[3, 3] = 55 + a_block2 = a.block_safe(2, 2, 3, 2) + assert not a_block2.flags.owndata and a_block2.flags.writeable + a_block2[2, 1] = -123 + master[4, 3] = -123 + a_block3 = a.block_const(6, 7, 4, 3) + assert not a_block3.flags.owndata and not a_block3.flags.writeable + with pytest.raises(ValueError): + a_block3[2, 2] = -44444 + + a_copy5 = a.copy_block(2, 2, 2, 3) + assert a_copy5.flags.owndata and a_copy5.flags.writeable + np.testing.assert_array_equal(a_copy5, master[2:4, 2:5]) + a_copy5[1, 1] = 777 + c5want = array_copy_but_one(master[2:4, 2:5], 1, 1, 777) + + a_corn1 = a.corners() + assert not a_corn1.flags.owndata and a_corn1.flags.writeable + a_corn1 *= 50 + a_corn1[1, 1] = 999 + master[0, 0] = 50 + master[0, 9] = 50 + master[9, 0] = 50 + master[9, 9] = 999 + a_corn2 = a.corners_const() + assert not a_corn2.flags.owndata and not a_corn2.flags.writeable + with pytest.raises(ValueError): + a_corn2[1, 0] = 51 + + # All of the changes made all the way along should be visible everywhere + # now (except for the copies, of course) + np.testing.assert_array_equal(a_get1, master) + np.testing.assert_array_equal(a_get2, master) + np.testing.assert_array_equal(a_view1, master) + np.testing.assert_array_equal(a_view2, master) + np.testing.assert_array_equal(a_ref1, master) + np.testing.assert_array_equal(a_ref2, master) + np.testing.assert_array_equal(a_ref3, master) + np.testing.assert_array_equal(a_ref4, master) + np.testing.assert_array_equal(a_block1, master[3:5, 3:5]) + np.testing.assert_array_equal(a_block2, master[2:5, 2:4]) + np.testing.assert_array_equal(a_block3, master[6:10, 7:10]) + np.testing.assert_array_equal(a_corn1, master[0::master.shape[0] - 1, 0::master.shape[1] - 1]) + np.testing.assert_array_equal(a_corn2, master[0::master.shape[0] - 1, 0::master.shape[1] - 1]) + + np.testing.assert_array_equal(a_copy1, c1want) + np.testing.assert_array_equal(a_copy2, c2want) + np.testing.assert_array_equal(a_copy3, c3want) + np.testing.assert_array_equal(a_copy4, c4want) + np.testing.assert_array_equal(a_copy5, c5want) + + +def assert_keeps_alive(cl, method, *args): + cstats = ConstructorStats.get(cl) + start_with = cstats.alive() + a = cl() + assert cstats.alive() == start_with + 1 + z = method(a, *args) + assert cstats.alive() == start_with + 1 + del a + # Here's the keep alive in action: + assert cstats.alive() == start_with + 1 + del z + # Keep alive should have expired: + assert cstats.alive() == start_with + + +def test_eigen_keepalive(): + a = m.ReturnTester() + cstats = ConstructorStats.get(m.ReturnTester) + assert cstats.alive() == 1 + unsafe = [a.ref(), a.ref_const(), a.block(1, 2, 3, 4)] + copies = [a.copy_get(), a.copy_view(), a.copy_ref(), a.copy_ref_const(), + a.copy_block(4, 3, 2, 1)] + del a + assert cstats.alive() == 0 + del unsafe + del copies + + for meth in [m.ReturnTester.get, m.ReturnTester.get_ptr, m.ReturnTester.view, + m.ReturnTester.view_ptr, m.ReturnTester.ref_safe, m.ReturnTester.ref_const_safe, + m.ReturnTester.corners, m.ReturnTester.corners_const]: + assert_keeps_alive(m.ReturnTester, meth) + + for meth in [m.ReturnTester.block_safe, m.ReturnTester.block_const]: + assert_keeps_alive(m.ReturnTester, meth, 4, 3, 2, 1) + + +def test_eigen_ref_mutators(): + """Tests Eigen's ability to mutate numpy values""" + + orig = np.array([[1., 2, 3], [4, 5, 6], [7, 8, 9]]) + zr = np.array(orig) + zc = np.array(orig, order='F') + m.add_rm(zr, 1, 0, 100) + assert np.all(zr == np.array([[1., 2, 3], [104, 5, 6], [7, 8, 9]])) + m.add_cm(zc, 1, 0, 200) + assert np.all(zc == np.array([[1., 2, 3], [204, 5, 6], [7, 8, 9]])) + + m.add_any(zr, 1, 0, 20) + assert np.all(zr == np.array([[1., 2, 3], [124, 5, 6], [7, 8, 9]])) + m.add_any(zc, 1, 0, 10) + assert np.all(zc == np.array([[1., 2, 3], [214, 5, 6], [7, 8, 9]])) + + # Can't reference a col-major array with a row-major Ref, and vice versa: + with pytest.raises(TypeError): + m.add_rm(zc, 1, 0, 1) + with pytest.raises(TypeError): + m.add_cm(zr, 1, 0, 1) + + # Overloads: + m.add1(zr, 1, 0, -100) + m.add2(zr, 1, 0, -20) + assert np.all(zr == orig) + m.add1(zc, 1, 0, -200) + m.add2(zc, 1, 0, -10) + assert np.all(zc == orig) + + # a non-contiguous slice (this won't work on either the row- or + # column-contiguous refs, but should work for the any) + cornersr = zr[0::2, 0::2] + cornersc = zc[0::2, 0::2] + + assert np.all(cornersr == np.array([[1., 3], [7, 9]])) + assert np.all(cornersc == np.array([[1., 3], [7, 9]])) + + with pytest.raises(TypeError): + m.add_rm(cornersr, 0, 1, 25) + with pytest.raises(TypeError): + m.add_cm(cornersr, 0, 1, 25) + with pytest.raises(TypeError): + m.add_rm(cornersc, 0, 1, 25) + with pytest.raises(TypeError): + m.add_cm(cornersc, 0, 1, 25) + m.add_any(cornersr, 0, 1, 25) + m.add_any(cornersc, 0, 1, 44) + assert np.all(zr == np.array([[1., 2, 28], [4, 5, 6], [7, 8, 9]])) + assert np.all(zc == np.array([[1., 2, 47], [4, 5, 6], [7, 8, 9]])) + + # You shouldn't be allowed to pass a non-writeable array to a mutating Eigen method: + zro = zr[0:4, 0:4] + zro.flags.writeable = False + with pytest.raises(TypeError): + m.add_rm(zro, 0, 0, 0) + with pytest.raises(TypeError): + m.add_any(zro, 0, 0, 0) + with pytest.raises(TypeError): + m.add1(zro, 0, 0, 0) + with pytest.raises(TypeError): + m.add2(zro, 0, 0, 0) + + # integer array shouldn't be passable to a double-matrix-accepting mutating func: + zi = np.array([[1, 2], [3, 4]]) + with pytest.raises(TypeError): + m.add_rm(zi) + + +def test_numpy_ref_mutators(): + """Tests numpy mutating Eigen matrices (for returned Eigen::Ref<...>s)""" + + m.reset_refs() # In case another test already changed it + + zc = m.get_cm_ref() + zcro = m.get_cm_const_ref() + zr = m.get_rm_ref() + zrro = m.get_rm_const_ref() + + assert [zc[1, 2], zcro[1, 2], zr[1, 2], zrro[1, 2]] == [23] * 4 + + assert not zc.flags.owndata and zc.flags.writeable + assert not zr.flags.owndata and zr.flags.writeable + assert not zcro.flags.owndata and not zcro.flags.writeable + assert not zrro.flags.owndata and not zrro.flags.writeable + + zc[1, 2] = 99 + expect = np.array([[11., 12, 13], [21, 22, 99], [31, 32, 33]]) + # We should have just changed zc, of course, but also zcro and the original eigen matrix + assert np.all(zc == expect) + assert np.all(zcro == expect) + assert np.all(m.get_cm_ref() == expect) + + zr[1, 2] = 99 + assert np.all(zr == expect) + assert np.all(zrro == expect) + assert np.all(m.get_rm_ref() == expect) + + # Make sure the readonly ones are numpy-readonly: + with pytest.raises(ValueError): + zcro[1, 2] = 6 + with pytest.raises(ValueError): + zrro[1, 2] = 6 + + # We should be able to explicitly copy like this (and since we're copying, + # the const should drop away) + y1 = np.array(m.get_cm_const_ref()) + + assert y1.flags.owndata and y1.flags.writeable + # We should get copies of the eigen data, which was modified above: + assert y1[1, 2] == 99 + y1[1, 2] += 12 + assert y1[1, 2] == 111 + assert zc[1, 2] == 99 # Make sure we aren't referencing the original + + +def test_both_ref_mutators(): + """Tests a complex chain of nested eigen/numpy references""" + + m.reset_refs() # In case another test already changed it + + z = m.get_cm_ref() # numpy -> eigen + z[0, 2] -= 3 + z2 = m.incr_matrix(z, 1) # numpy -> eigen -> numpy -> eigen + z2[1, 1] += 6 + z3 = m.incr_matrix(z, 2) # (numpy -> eigen)^3 + z3[2, 2] += -5 + z4 = m.incr_matrix(z, 3) # (numpy -> eigen)^4 + z4[1, 1] -= 1 + z5 = m.incr_matrix(z, 4) # (numpy -> eigen)^5 + z5[0, 0] = 0 + assert np.all(z == z2) + assert np.all(z == z3) + assert np.all(z == z4) + assert np.all(z == z5) + expect = np.array([[0., 22, 20], [31, 37, 33], [41, 42, 38]]) + assert np.all(z == expect) + + y = np.array(range(100), dtype='float64').reshape(10, 10) + y2 = m.incr_matrix_any(y, 10) # np -> eigen -> np + y3 = m.incr_matrix_any(y2[0::2, 0::2], -33) # np -> eigen -> np slice -> np -> eigen -> np + y4 = m.even_rows(y3) # numpy -> eigen slice -> (... y3) + y5 = m.even_cols(y4) # numpy -> eigen slice -> (... y4) + y6 = m.incr_matrix_any(y5, 1000) # numpy -> eigen -> (... y5) + + # Apply same mutations using just numpy: + yexpect = np.array(range(100), dtype='float64').reshape(10, 10) + yexpect += 10 + yexpect[0::2, 0::2] -= 33 + yexpect[0::4, 0::4] += 1000 + assert np.all(y6 == yexpect[0::4, 0::4]) + assert np.all(y5 == yexpect[0::4, 0::4]) + assert np.all(y4 == yexpect[0::4, 0::2]) + assert np.all(y3 == yexpect[0::2, 0::2]) + assert np.all(y2 == yexpect) + assert np.all(y == yexpect) + + +def test_nocopy_wrapper(): + # get_elem requires a column-contiguous matrix reference, but should be + # callable with other types of matrix (via copying): + int_matrix_colmajor = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], order='F') + dbl_matrix_colmajor = np.array(int_matrix_colmajor, dtype='double', order='F', copy=True) + int_matrix_rowmajor = np.array(int_matrix_colmajor, order='C', copy=True) + dbl_matrix_rowmajor = np.array(int_matrix_rowmajor, dtype='double', order='C', copy=True) + + # All should be callable via get_elem: + assert m.get_elem(int_matrix_colmajor) == 8 + assert m.get_elem(dbl_matrix_colmajor) == 8 + assert m.get_elem(int_matrix_rowmajor) == 8 + assert m.get_elem(dbl_matrix_rowmajor) == 8 + + # All but the second should fail with m.get_elem_nocopy: + with pytest.raises(TypeError) as excinfo: + m.get_elem_nocopy(int_matrix_colmajor) + assert ('get_elem_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.f_contiguous' in str(excinfo.value)) + assert m.get_elem_nocopy(dbl_matrix_colmajor) == 8 + with pytest.raises(TypeError) as excinfo: + m.get_elem_nocopy(int_matrix_rowmajor) + assert ('get_elem_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.f_contiguous' in str(excinfo.value)) + with pytest.raises(TypeError) as excinfo: + m.get_elem_nocopy(dbl_matrix_rowmajor) + assert ('get_elem_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.f_contiguous' in str(excinfo.value)) + + # For the row-major test, we take a long matrix in row-major, so only the third is allowed: + with pytest.raises(TypeError) as excinfo: + m.get_elem_rm_nocopy(int_matrix_colmajor) + assert ('get_elem_rm_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.c_contiguous' in str(excinfo.value)) + with pytest.raises(TypeError) as excinfo: + m.get_elem_rm_nocopy(dbl_matrix_colmajor) + assert ('get_elem_rm_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.c_contiguous' in str(excinfo.value)) + assert m.get_elem_rm_nocopy(int_matrix_rowmajor) == 8 + with pytest.raises(TypeError) as excinfo: + m.get_elem_rm_nocopy(dbl_matrix_rowmajor) + assert ('get_elem_rm_nocopy(): incompatible function arguments.' in str(excinfo.value) and + ', flags.c_contiguous' in str(excinfo.value)) + + +def test_eigen_ref_life_support(): + """Ensure the lifetime of temporary arrays created by the `Ref` caster + + The `Ref` caster sometimes creates a copy which needs to stay alive. This needs to + happen both for directs casts (just the array) or indirectly (e.g. list of arrays). + """ + + a = np.full(shape=10, fill_value=8, dtype=np.int8) + assert m.get_elem_direct(a) == 8 + + list_of_a = [a] + assert m.get_elem_indirect(list_of_a) == 8 + + +def test_special_matrix_objects(): + assert np.all(m.incr_diag(7) == np.diag([1., 2, 3, 4, 5, 6, 7])) + + asymm = np.array([[ 1., 2, 3, 4], + [ 5, 6, 7, 8], + [ 9, 10, 11, 12], + [13, 14, 15, 16]]) + symm_lower = np.array(asymm) + symm_upper = np.array(asymm) + for i in range(4): + for j in range(i + 1, 4): + symm_lower[i, j] = symm_lower[j, i] + symm_upper[j, i] = symm_upper[i, j] + + assert np.all(m.symmetric_lower(asymm) == symm_lower) + assert np.all(m.symmetric_upper(asymm) == symm_upper) + + +def test_dense_signature(doc): + assert doc(m.double_col) == """ + double_col(arg0: numpy.ndarray[float32[m, 1]]) -> numpy.ndarray[float32[m, 1]] + """ + assert doc(m.double_row) == """ + double_row(arg0: numpy.ndarray[float32[1, n]]) -> numpy.ndarray[float32[1, n]] + """ + assert doc(m.double_complex) == """ + double_complex(arg0: numpy.ndarray[complex64[m, 1]]) -> numpy.ndarray[complex64[m, 1]] + """ + assert doc(m.double_mat_rm) == """ + double_mat_rm(arg0: numpy.ndarray[float32[m, n]]) -> numpy.ndarray[float32[m, n]] + """ + + +def test_named_arguments(): + a = np.array([[1.0, 2], [3, 4], [5, 6]]) + b = np.ones((2, 1)) + + assert np.all(m.matrix_multiply(a, b) == np.array([[3.], [7], [11]])) + assert np.all(m.matrix_multiply(A=a, B=b) == np.array([[3.], [7], [11]])) + assert np.all(m.matrix_multiply(B=b, A=a) == np.array([[3.], [7], [11]])) + + with pytest.raises(ValueError) as excinfo: + m.matrix_multiply(b, a) + assert str(excinfo.value) == 'Nonconformable matrices!' + + with pytest.raises(ValueError) as excinfo: + m.matrix_multiply(A=b, B=a) + assert str(excinfo.value) == 'Nonconformable matrices!' + + with pytest.raises(ValueError) as excinfo: + m.matrix_multiply(B=a, A=b) + assert str(excinfo.value) == 'Nonconformable matrices!' + + +@pytest.requires_eigen_and_scipy +def test_sparse(): + assert_sparse_equal_ref(m.sparse_r()) + assert_sparse_equal_ref(m.sparse_c()) + assert_sparse_equal_ref(m.sparse_copy_r(m.sparse_r())) + assert_sparse_equal_ref(m.sparse_copy_c(m.sparse_c())) + assert_sparse_equal_ref(m.sparse_copy_r(m.sparse_c())) + assert_sparse_equal_ref(m.sparse_copy_c(m.sparse_r())) + + +@pytest.requires_eigen_and_scipy +def test_sparse_signature(doc): + assert doc(m.sparse_copy_r) == """ + sparse_copy_r(arg0: scipy.sparse.csr_matrix[float32]) -> scipy.sparse.csr_matrix[float32] + """ # noqa: E501 line too long + assert doc(m.sparse_copy_c) == """ + sparse_copy_c(arg0: scipy.sparse.csc_matrix[float32]) -> scipy.sparse.csc_matrix[float32] + """ # noqa: E501 line too long + + +def test_issue738(): + """Ignore strides on a length-1 dimension (even if they would be incompatible length > 1)""" + assert np.all(m.iss738_f1(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]])) + assert np.all(m.iss738_f1(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]])) + + assert np.all(m.iss738_f2(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]])) + assert np.all(m.iss738_f2(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]])) + + +def test_issue1105(): + """Issue 1105: 1xN or Nx1 input arrays weren't accepted for eigen + compile-time row vectors or column vector""" + assert m.iss1105_row(np.ones((1, 7))) + assert m.iss1105_col(np.ones((7, 1))) + + # These should still fail (incompatible dimensions): + with pytest.raises(TypeError) as excinfo: + m.iss1105_row(np.ones((7, 1))) + assert "incompatible function arguments" in str(excinfo.value) + with pytest.raises(TypeError) as excinfo: + m.iss1105_col(np.ones((1, 7))) + assert "incompatible function arguments" in str(excinfo.value) + + +def test_custom_operator_new(): + """Using Eigen types as member variables requires a class-specific + operator new with proper alignment""" + + o = m.CustomOperatorNew() + np.testing.assert_allclose(o.a, 0.0) + np.testing.assert_allclose(o.b.diagonal(), 1.0) |