diff options
Diffstat (limited to 'ext/pybind11/tests/test_eigen.py')
-rw-r--r-- | ext/pybind11/tests/test_eigen.py | 443 |
1 files changed, 249 insertions, 194 deletions
diff --git a/ext/pybind11/tests/test_eigen.py b/ext/pybind11/tests/test_eigen.py index df08edf3d..4ac8cbf5d 100644 --- a/ext/pybind11/tests/test_eigen.py +++ b/ext/pybind11/tests/test_eigen.py @@ -1,8 +1,10 @@ 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], @@ -21,156 +23,190 @@ def assert_sparse_equal_ref(sparse_mat): def test_fixed(): - from pybind11_tests import fixed_r, fixed_c, fixed_copy_r, fixed_copy_c - - assert_equal_ref(fixed_c()) - assert_equal_ref(fixed_r()) - assert_equal_ref(fixed_copy_r(fixed_r())) - assert_equal_ref(fixed_copy_c(fixed_c())) - assert_equal_ref(fixed_copy_r(fixed_c())) - assert_equal_ref(fixed_copy_c(fixed_r())) + 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(): - from pybind11_tests import dense_r, dense_c, dense_copy_r, dense_copy_c - - assert_equal_ref(dense_r()) - assert_equal_ref(dense_c()) - assert_equal_ref(dense_copy_r(dense_r())) - assert_equal_ref(dense_copy_c(dense_c())) - assert_equal_ref(dense_copy_r(dense_c())) - assert_equal_ref(dense_copy_c(dense_r())) + 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(): - from pybind11_tests import (partial_copy_four_rm_r, partial_copy_four_rm_c, - partial_copy_four_cm_r, partial_copy_four_cm_c) - ref2 = np.array([[0., 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]) - np.testing.assert_array_equal(partial_copy_four_rm_r(ref2), ref2) - np.testing.assert_array_equal(partial_copy_four_rm_c(ref2), ref2) - np.testing.assert_array_equal(partial_copy_four_rm_r(ref2[:, 1]), ref2[:, [1]]) - np.testing.assert_array_equal(partial_copy_four_rm_c(ref2[0, :]), ref2[[0], :]) - np.testing.assert_array_equal(partial_copy_four_rm_r(ref2[:, (0, 2)]), ref2[:, (0, 2)]) + 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( - partial_copy_four_rm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]) + m.partial_copy_four_rm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]) - np.testing.assert_array_equal(partial_copy_four_cm_r(ref2), ref2) - np.testing.assert_array_equal(partial_copy_four_cm_c(ref2), ref2) - np.testing.assert_array_equal(partial_copy_four_cm_r(ref2[:, 1]), ref2[:, [1]]) - np.testing.assert_array_equal(partial_copy_four_cm_c(ref2[0, :]), ref2[[0], :]) - np.testing.assert_array_equal(partial_copy_four_cm_r(ref2[:, (0, 2)]), ref2[:, (0, 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( - partial_copy_four_cm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]) + 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(): - from pybind11_tests import fixed_mutator_r, fixed_mutator_c, fixed_mutator_a zr = np.arange(30, dtype='float32').reshape(5, 6) # row-major zc = zr.reshape(6, 5).transpose() # column-major - fixed_mutator_r(zr) - fixed_mutator_c(zc) - fixed_mutator_a(zr) - fixed_mutator_a(zc) + 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: - fixed_mutator_r(zc) - assert ('(numpy.ndarray[float32[5, 6], flags.writeable, flags.c_contiguous]) -> arg0: None' + 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: - fixed_mutator_c(zr) - assert ('(numpy.ndarray[float32[5, 6], flags.writeable, flags.f_contiguous]) -> arg0: None' + 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: - fixed_mutator_a(np.array([[1, 2], [3, 4]], dtype='float32')) - assert ('(numpy.ndarray[float32[5, 6], flags.writeable]) -> arg0: None' + 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): - fixed_mutator_r(zr) + m.fixed_mutator_r(zr) with pytest.raises(TypeError): - fixed_mutator_a(zr) + m.fixed_mutator_a(zr) def test_cpp_casting(): - from pybind11_tests import (cpp_copy, cpp_ref_c, cpp_ref_r, cpp_ref_any, - fixed_r, fixed_c, get_cm_ref, get_rm_ref, ReturnTester) - assert cpp_copy(fixed_r()) == 22. - assert cpp_copy(fixed_c()) == 22. + assert m.cpp_copy(m.fixed_r()) == 22. + assert m.cpp_copy(m.fixed_c()) == 22. z = np.array([[5., 6], [7, 8]]) - assert cpp_copy(z) == 7. - assert cpp_copy(get_cm_ref()) == 21. - assert cpp_copy(get_rm_ref()) == 21. - assert cpp_ref_c(get_cm_ref()) == 21. - assert cpp_ref_r(get_rm_ref()) == 21. + 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 fixed_c: it contains floats, cpp_ref_any wants doubles - cpp_ref_any(fixed_c()) + # 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 fixed_r: it contains floats, cpp_ref_any wants doubles - cpp_ref_any(fixed_r()) + # 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 cpp_ref_any(ReturnTester.create()) == 1. + assert m.cpp_ref_any(m.ReturnTester.create()) == 1. - assert cpp_ref_any(get_cm_ref()) == 21. - assert cpp_ref_any(get_cm_ref()) == 21. + 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(): - from pybind11_tests import fixed_copy_r, fixed_r, fixed_r_const z = np.full((5, 6), 42.0) z.flags.writeable = False - np.testing.assert_array_equal(z, fixed_copy_r(z)) - np.testing.assert_array_equal(fixed_r_const(), fixed_r()) - assert not fixed_r_const().flags.writeable - np.testing.assert_array_equal(fixed_copy_r(fixed_r_const()), fixed_r_const()) + 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(): - from pybind11_tests import ( - double_row, double_col, double_complex, double_mat_cm, double_mat_rm, - double_threec, double_threer) - 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(double_row(second_row), 2.0 * second_row) - np.testing.assert_array_equal(double_col(second_row), 2.0 * second_row) - np.testing.assert_array_equal(double_complex(second_row), 2.0 * second_row) - np.testing.assert_array_equal(double_row(second_col), 2.0 * second_col) - np.testing.assert_array_equal(double_col(second_col), 2.0 * second_col) - np.testing.assert_array_equal(double_complex(second_col), 2.0 * second_col) + 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(double_mat_cm(ref_mat), 2.0 * ref_mat) - np.testing.assert_array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat) + 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: - double_threer(second_row) - double_threec(second_col) + 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_nonunit_stride_to_python(): - from pybind11_tests import diagonal, diagonal_1, diagonal_n, block +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: 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: array([ 7., 4., 1.], dtype=float32) + """ # noqa: E501 line too long + - assert np.all(diagonal(ref) == ref.diagonal()) - assert np.all(diagonal_1(ref) == ref.diagonal(1)) +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(diagonal_n(ref, i) == ref.diagonal(i)), "diagonal_n({})".format(i) + assert np.all(m.diagonal_n(ref, i) == ref.diagonal(i)), "m.diagonal_n({})".format(i) - assert np.all(block(ref, 2, 1, 3, 3) == ref[2:5, 1:4]) - assert np.all(block(ref, 1, 4, 4, 2) == ref[1:, 4:]) - assert np.all(block(ref, 1, 4, 3, 2) == ref[1:4, 4:]) + 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(): - from pybind11_tests import cholesky1, cholesky2, cholesky3, cholesky4 - - chols = [cholesky1, cholesky2, cholesky3, cholesky4] + 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) @@ -189,9 +225,9 @@ def array_copy_but_one(a, r, c, v): def test_eigen_return_references(): """Tests various ways of returning references and non-referencing copies""" - from pybind11_tests import ReturnTester + master = np.ones((10, 10)) - a = ReturnTester() + 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) @@ -301,7 +337,6 @@ def test_eigen_return_references(): def assert_keeps_alive(cl, method, *args): - from pybind11_tests import ConstructorStats cstats = ConstructorStats.get(cl) start_with = cstats.alive() a = cl() @@ -317,10 +352,8 @@ def assert_keeps_alive(cl, method, *args): def test_eigen_keepalive(): - from pybind11_tests import ReturnTester, ConstructorStats - a = ReturnTester() - - cstats = ConstructorStats.get(ReturnTester) + 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(), @@ -330,43 +363,43 @@ def test_eigen_keepalive(): del unsafe del copies - for meth in [ReturnTester.get, ReturnTester.get_ptr, ReturnTester.view, - ReturnTester.view_ptr, ReturnTester.ref_safe, ReturnTester.ref_const_safe, - ReturnTester.corners, ReturnTester.corners_const]: - assert_keeps_alive(ReturnTester, meth) + 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 [ReturnTester.block_safe, ReturnTester.block_const]: - assert_keeps_alive(ReturnTester, meth, 4, 3, 2, 1) + 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 whether Eigen can mutate numpy values""" - from pybind11_tests import add_rm, add_cm, add_any, add1, add2 + """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') - add_rm(zr, 1, 0, 100) + m.add_rm(zr, 1, 0, 100) assert np.all(zr == np.array([[1., 2, 3], [104, 5, 6], [7, 8, 9]])) - add_cm(zc, 1, 0, 200) + m.add_cm(zc, 1, 0, 200) assert np.all(zc == np.array([[1., 2, 3], [204, 5, 6], [7, 8, 9]])) - add_any(zr, 1, 0, 20) + m.add_any(zr, 1, 0, 20) assert np.all(zr == np.array([[1., 2, 3], [124, 5, 6], [7, 8, 9]])) - add_any(zc, 1, 0, 10) + 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): - add_rm(zc, 1, 0, 1) + m.add_rm(zc, 1, 0, 1) with pytest.raises(TypeError): - add_cm(zr, 1, 0, 1) + m.add_cm(zr, 1, 0, 1) # Overloads: - add1(zr, 1, 0, -100) - add2(zr, 1, 0, -20) + m.add1(zr, 1, 0, -100) + m.add2(zr, 1, 0, -20) assert np.all(zr == orig) - add1(zc, 1, 0, -200) - add2(zc, 1, 0, -10) + 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 @@ -378,15 +411,15 @@ def test_eigen_ref_mutators(): assert np.all(cornersc == np.array([[1., 3], [7, 9]])) with pytest.raises(TypeError): - add_rm(cornersr, 0, 1, 25) + m.add_rm(cornersr, 0, 1, 25) with pytest.raises(TypeError): - add_cm(cornersr, 0, 1, 25) + m.add_cm(cornersr, 0, 1, 25) with pytest.raises(TypeError): - add_rm(cornersc, 0, 1, 25) + m.add_rm(cornersc, 0, 1, 25) with pytest.raises(TypeError): - add_cm(cornersc, 0, 1, 25) - add_any(cornersr, 0, 1, 25) - add_any(cornersc, 0, 1, 44) + 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]])) @@ -394,30 +427,29 @@ def test_eigen_ref_mutators(): zro = zr[0:4, 0:4] zro.flags.writeable = False with pytest.raises(TypeError): - add_rm(zro, 0, 0, 0) + m.add_rm(zro, 0, 0, 0) with pytest.raises(TypeError): - add_any(zro, 0, 0, 0) + m.add_any(zro, 0, 0, 0) with pytest.raises(TypeError): - add1(zro, 0, 0, 0) + m.add1(zro, 0, 0, 0) with pytest.raises(TypeError): - add2(zro, 0, 0, 0) + 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): - add_rm(zi) + m.add_rm(zi) def test_numpy_ref_mutators(): """Tests numpy mutating Eigen matrices (for returned Eigen::Ref<...>s)""" - from pybind11_tests import ( - get_cm_ref, get_cm_const_ref, get_rm_ref, get_rm_const_ref, reset_refs) - reset_refs() # In case another test already changed it - zc = get_cm_ref() - zcro = get_cm_const_ref() - zr = get_rm_ref() - zrro = get_rm_const_ref() + 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 @@ -431,12 +463,12 @@ def test_numpy_ref_mutators(): # 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(get_cm_ref() == 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(get_rm_ref() == expect) + assert np.all(m.get_rm_ref() == expect) # Make sure the readonly ones are numpy-readonly: with pytest.raises(ValueError): @@ -446,7 +478,7 @@ def test_numpy_ref_mutators(): # We should be able to explicitly copy like this (and since we're copying, # the const should drop away) - y1 = np.array(get_cm_const_ref()) + 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: @@ -458,19 +490,18 @@ def test_numpy_ref_mutators(): def test_both_ref_mutators(): """Tests a complex chain of nested eigen/numpy references""" - from pybind11_tests import ( - incr_matrix, get_cm_ref, incr_matrix_any, even_cols, even_rows, reset_refs) - reset_refs() # In case another test already changed it - z = get_cm_ref() # numpy -> eigen + m.reset_refs() # In case another test already changed it + + z = m.get_cm_ref() # numpy -> eigen z[0, 2] -= 3 - z2 = incr_matrix(z, 1) # numpy -> eigen -> numpy -> eigen + z2 = m.incr_matrix(z, 1) # numpy -> eigen -> numpy -> eigen z2[1, 1] += 6 - z3 = incr_matrix(z, 2) # (numpy -> eigen)^3 + z3 = m.incr_matrix(z, 2) # (numpy -> eigen)^3 z3[2, 2] += -5 - z4 = incr_matrix(z, 3) # (numpy -> eigen)^4 + z4 = m.incr_matrix(z, 3) # (numpy -> eigen)^4 z4[1, 1] -= 1 - z5 = incr_matrix(z, 4) # (numpy -> eigen)^5 + z5 = m.incr_matrix(z, 4) # (numpy -> eigen)^5 z5[0, 0] = 0 assert np.all(z == z2) assert np.all(z == z3) @@ -480,11 +511,11 @@ def test_both_ref_mutators(): assert np.all(z == expect) y = np.array(range(100), dtype='float64').reshape(10, 10) - y2 = incr_matrix_any(y, 10) # np -> eigen -> np - y3 = incr_matrix_any(y2[0::2, 0::2], -33) # np -> eigen -> np slice -> np -> eigen -> np - y4 = even_rows(y3) # numpy -> eigen slice -> (... y3) - y5 = even_cols(y4) # numpy -> eigen slice -> (... y4) - y6 = incr_matrix_any(y5, 1000) # numpy -> eigen -> (... y5) + 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) @@ -500,7 +531,6 @@ def test_both_ref_mutators(): def test_nocopy_wrapper(): - from pybind11_tests import get_elem, get_elem_nocopy, get_elem_rm_nocopy # 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') @@ -509,46 +539,58 @@ def test_nocopy_wrapper(): dbl_matrix_rowmajor = np.array(int_matrix_rowmajor, dtype='double', order='C', copy=True) # All should be callable via get_elem: - assert get_elem(int_matrix_colmajor) == 8 - assert get_elem(dbl_matrix_colmajor) == 8 - assert get_elem(int_matrix_rowmajor) == 8 - assert get_elem(dbl_matrix_rowmajor) == 8 + 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 get_elem_nocopy: + # All but the second should fail with m.get_elem_nocopy: with pytest.raises(TypeError) as excinfo: - get_elem_nocopy(int_matrix_colmajor) + 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 get_elem_nocopy(dbl_matrix_colmajor) == 8 + assert m.get_elem_nocopy(dbl_matrix_colmajor) == 8 with pytest.raises(TypeError) as excinfo: - get_elem_nocopy(int_matrix_rowmajor) + 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: - get_elem_nocopy(dbl_matrix_rowmajor) + 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: - get_elem_rm_nocopy(int_matrix_colmajor) + 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: - get_elem_rm_nocopy(dbl_matrix_colmajor) + 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 get_elem_rm_nocopy(int_matrix_rowmajor) == 8 + assert m.get_elem_rm_nocopy(int_matrix_rowmajor) == 8 with pytest.raises(TypeError) as excinfo: - get_elem_rm_nocopy(dbl_matrix_rowmajor) + 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_special_matrix_objects(): - from pybind11_tests import incr_diag, symmetric_upper, symmetric_lower +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 - assert np.all(incr_diag(7) == np.diag([1., 2, 3, 4, 5, 6, 7])) + +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], @@ -561,66 +603,79 @@ def test_special_matrix_objects(): symm_lower[i, j] = symm_lower[j, i] symm_upper[j, i] = symm_upper[i, j] - assert np.all(symmetric_lower(asymm) == symm_lower) - assert np.all(symmetric_upper(asymm) == symm_upper) + assert np.all(m.symmetric_lower(asymm) == symm_lower) + assert np.all(m.symmetric_upper(asymm) == symm_upper) def test_dense_signature(doc): - from pybind11_tests import double_col, double_row, double_complex, double_mat_rm - - assert doc(double_col) == """ + assert doc(m.double_col) == """ double_col(arg0: numpy.ndarray[float32[m, 1]]) -> numpy.ndarray[float32[m, 1]] """ - assert doc(double_row) == """ + assert doc(m.double_row) == """ double_row(arg0: numpy.ndarray[float32[1, n]]) -> numpy.ndarray[float32[1, n]] """ - assert doc(double_complex) == """ + assert doc(m.double_complex) == """ double_complex(arg0: numpy.ndarray[complex64[m, 1]]) -> numpy.ndarray[complex64[m, 1]] """ - assert doc(double_mat_rm) == """ + 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(): - from pybind11_tests import sparse_r, sparse_c, sparse_copy_r, sparse_copy_c - - assert_sparse_equal_ref(sparse_r()) - assert_sparse_equal_ref(sparse_c()) - assert_sparse_equal_ref(sparse_copy_r(sparse_r())) - assert_sparse_equal_ref(sparse_copy_c(sparse_c())) - assert_sparse_equal_ref(sparse_copy_r(sparse_c())) - assert_sparse_equal_ref(sparse_copy_c(sparse_r())) + 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): - from pybind11_tests import sparse_copy_r, sparse_copy_c - - assert doc(sparse_copy_r) == """ + 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(sparse_copy_c) == """ + 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(): - from pybind11_tests import iss738_f1, iss738_f2 - - assert np.all(iss738_f1(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]])) - assert np.all(iss738_f1(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]])) + """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(iss738_f2(np.array([[1., 2, 3]])) == np.array([[1., 102, 203]])) - assert np.all(iss738_f2(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_custom_operator_new(): """Using Eigen types as member variables requires a class-specific operator new with proper alignment""" - from pybind11_tests import CustomOperatorNew - o = CustomOperatorNew() + o = m.CustomOperatorNew() np.testing.assert_allclose(o.a, 0.0) np.testing.assert_allclose(o.b.diagonal(), 1.0) |