776 lines
28 KiB
Python
776 lines
28 KiB
Python
import pytest
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from pybind11_tests import ConstructorStats
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np = pytest.importorskip("numpy")
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m = pytest.importorskip("pybind11_tests.eigen")
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ref = np.array(
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[
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[0.0, 3, 0, 0, 0, 11],
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[22, 0, 0, 0, 17, 11],
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[7, 5, 0, 1, 0, 11],
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[0, 0, 0, 0, 0, 11],
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[0, 0, 14, 0, 8, 11],
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]
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)
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def assert_equal_ref(mat):
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np.testing.assert_array_equal(mat, ref)
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def assert_sparse_equal_ref(sparse_mat):
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assert_equal_ref(sparse_mat.toarray())
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def test_fixed():
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assert_equal_ref(m.fixed_c())
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assert_equal_ref(m.fixed_r())
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assert_equal_ref(m.fixed_copy_r(m.fixed_r()))
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assert_equal_ref(m.fixed_copy_c(m.fixed_c()))
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assert_equal_ref(m.fixed_copy_r(m.fixed_c()))
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assert_equal_ref(m.fixed_copy_c(m.fixed_r()))
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def test_dense():
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assert_equal_ref(m.dense_r())
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assert_equal_ref(m.dense_c())
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assert_equal_ref(m.dense_copy_r(m.dense_r()))
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assert_equal_ref(m.dense_copy_c(m.dense_c()))
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assert_equal_ref(m.dense_copy_r(m.dense_c()))
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assert_equal_ref(m.dense_copy_c(m.dense_r()))
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def test_partially_fixed():
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ref2 = np.array([[0.0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]])
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np.testing.assert_array_equal(m.partial_copy_four_rm_r(ref2), ref2)
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np.testing.assert_array_equal(m.partial_copy_four_rm_c(ref2), ref2)
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np.testing.assert_array_equal(m.partial_copy_four_rm_r(ref2[:, 1]), ref2[:, [1]])
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np.testing.assert_array_equal(m.partial_copy_four_rm_c(ref2[0, :]), ref2[[0], :])
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np.testing.assert_array_equal(
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m.partial_copy_four_rm_r(ref2[:, (0, 2)]), ref2[:, (0, 2)]
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)
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np.testing.assert_array_equal(
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m.partial_copy_four_rm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]
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)
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np.testing.assert_array_equal(m.partial_copy_four_cm_r(ref2), ref2)
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np.testing.assert_array_equal(m.partial_copy_four_cm_c(ref2), ref2)
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np.testing.assert_array_equal(m.partial_copy_four_cm_r(ref2[:, 1]), ref2[:, [1]])
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np.testing.assert_array_equal(m.partial_copy_four_cm_c(ref2[0, :]), ref2[[0], :])
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np.testing.assert_array_equal(
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m.partial_copy_four_cm_r(ref2[:, (0, 2)]), ref2[:, (0, 2)]
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)
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np.testing.assert_array_equal(
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m.partial_copy_four_cm_c(ref2[(3, 1, 2), :]), ref2[(3, 1, 2), :]
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)
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# TypeError should be raise for a shape mismatch
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functions = [
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m.partial_copy_four_rm_r,
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m.partial_copy_four_rm_c,
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m.partial_copy_four_cm_r,
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m.partial_copy_four_cm_c,
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]
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matrix_with_wrong_shape = [[1, 2], [3, 4]]
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for f in functions:
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with pytest.raises(TypeError) as excinfo:
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f(matrix_with_wrong_shape)
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assert "incompatible function arguments" in str(excinfo.value)
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def test_mutator_descriptors():
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zr = np.arange(30, dtype="float32").reshape(5, 6) # row-major
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zc = zr.reshape(6, 5).transpose() # column-major
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m.fixed_mutator_r(zr)
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m.fixed_mutator_c(zc)
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m.fixed_mutator_a(zr)
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m.fixed_mutator_a(zc)
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with pytest.raises(TypeError) as excinfo:
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m.fixed_mutator_r(zc)
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assert (
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"(arg0: numpy.ndarray[numpy.float32[5, 6],"
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" flags.writeable, flags.c_contiguous]) -> None" in str(excinfo.value)
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)
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with pytest.raises(TypeError) as excinfo:
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m.fixed_mutator_c(zr)
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assert (
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"(arg0: numpy.ndarray[numpy.float32[5, 6],"
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" flags.writeable, flags.f_contiguous]) -> None" in str(excinfo.value)
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)
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with pytest.raises(TypeError) as excinfo:
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m.fixed_mutator_a(np.array([[1, 2], [3, 4]], dtype="float32"))
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assert "(arg0: numpy.ndarray[numpy.float32[5, 6], flags.writeable]) -> None" in str(
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excinfo.value
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)
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zr.flags.writeable = False
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with pytest.raises(TypeError):
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m.fixed_mutator_r(zr)
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with pytest.raises(TypeError):
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m.fixed_mutator_a(zr)
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def test_cpp_casting():
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assert m.cpp_copy(m.fixed_r()) == 22.0
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assert m.cpp_copy(m.fixed_c()) == 22.0
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z = np.array([[5.0, 6], [7, 8]])
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assert m.cpp_copy(z) == 7.0
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assert m.cpp_copy(m.get_cm_ref()) == 21.0
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assert m.cpp_copy(m.get_rm_ref()) == 21.0
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assert m.cpp_ref_c(m.get_cm_ref()) == 21.0
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assert m.cpp_ref_r(m.get_rm_ref()) == 21.0
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with pytest.raises(RuntimeError) as excinfo:
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# Can't reference m.fixed_c: it contains floats, m.cpp_ref_any wants doubles
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m.cpp_ref_any(m.fixed_c())
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assert "Unable to cast Python instance" in str(excinfo.value)
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with pytest.raises(RuntimeError) as excinfo:
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# Can't reference m.fixed_r: it contains floats, m.cpp_ref_any wants doubles
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m.cpp_ref_any(m.fixed_r())
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assert "Unable to cast Python instance" in str(excinfo.value)
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assert m.cpp_ref_any(m.ReturnTester.create()) == 1.0
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assert m.cpp_ref_any(m.get_cm_ref()) == 21.0
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assert m.cpp_ref_any(m.get_cm_ref()) == 21.0
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def test_pass_readonly_array():
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z = np.full((5, 6), 42.0)
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z.flags.writeable = False
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np.testing.assert_array_equal(z, m.fixed_copy_r(z))
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np.testing.assert_array_equal(m.fixed_r_const(), m.fixed_r())
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assert not m.fixed_r_const().flags.writeable
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np.testing.assert_array_equal(m.fixed_copy_r(m.fixed_r_const()), m.fixed_r_const())
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def test_nonunit_stride_from_python():
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counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
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second_row = counting_mat[1, :]
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second_col = counting_mat[:, 1]
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np.testing.assert_array_equal(m.double_row(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_col(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_complex(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_row(second_col), 2.0 * second_col)
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np.testing.assert_array_equal(m.double_col(second_col), 2.0 * second_col)
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np.testing.assert_array_equal(m.double_complex(second_col), 2.0 * second_col)
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counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
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slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
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for ref_mat in slices:
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np.testing.assert_array_equal(m.double_mat_cm(ref_mat), 2.0 * ref_mat)
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np.testing.assert_array_equal(m.double_mat_rm(ref_mat), 2.0 * ref_mat)
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# Mutator:
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m.double_threer(second_row)
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m.double_threec(second_col)
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np.testing.assert_array_equal(counting_mat, [[0.0, 2, 2], [6, 16, 10], [6, 14, 8]])
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def test_negative_stride_from_python(msg):
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"""Eigen doesn't support (as of yet) negative strides. When a function takes an Eigen matrix by
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copy or const reference, we can pass a numpy array that has negative strides. Otherwise, an
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exception will be thrown as Eigen will not be able to map the numpy array."""
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counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
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counting_mat = counting_mat[::-1, ::-1]
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second_row = counting_mat[1, :]
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second_col = counting_mat[:, 1]
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np.testing.assert_array_equal(m.double_row(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_col(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_complex(second_row), 2.0 * second_row)
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np.testing.assert_array_equal(m.double_row(second_col), 2.0 * second_col)
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np.testing.assert_array_equal(m.double_col(second_col), 2.0 * second_col)
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np.testing.assert_array_equal(m.double_complex(second_col), 2.0 * second_col)
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counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
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counting_3d = counting_3d[::-1, ::-1, ::-1]
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slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
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for ref_mat in slices:
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np.testing.assert_array_equal(m.double_mat_cm(ref_mat), 2.0 * ref_mat)
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np.testing.assert_array_equal(m.double_mat_rm(ref_mat), 2.0 * ref_mat)
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# Mutator:
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with pytest.raises(TypeError) as excinfo:
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m.double_threer(second_row)
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assert (
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msg(excinfo.value)
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== """
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double_threer(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[numpy.float32[1, 3], flags.writeable]) -> None
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Invoked with: """
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+ repr(np.array([5.0, 4.0, 3.0], dtype="float32"))
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)
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with pytest.raises(TypeError) as excinfo:
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m.double_threec(second_col)
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assert (
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msg(excinfo.value)
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== """
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double_threec(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[numpy.float32[3, 1], flags.writeable]) -> None
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Invoked with: """
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+ repr(np.array([7.0, 4.0, 1.0], dtype="float32"))
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)
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def test_nonunit_stride_to_python():
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assert np.all(m.diagonal(ref) == ref.diagonal())
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assert np.all(m.diagonal_1(ref) == ref.diagonal(1))
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for i in range(-5, 7):
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assert np.all(m.diagonal_n(ref, i) == ref.diagonal(i)), f"m.diagonal_n({i})"
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assert np.all(m.block(ref, 2, 1, 3, 3) == ref[2:5, 1:4])
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assert np.all(m.block(ref, 1, 4, 4, 2) == ref[1:, 4:])
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assert np.all(m.block(ref, 1, 4, 3, 2) == ref[1:4, 4:])
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def test_eigen_ref_to_python():
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chols = [m.cholesky1, m.cholesky2, m.cholesky3, m.cholesky4]
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for i, chol in enumerate(chols, start=1):
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mymat = chol(np.array([[1.0, 2, 4], [2, 13, 23], [4, 23, 77]]))
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assert np.all(
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mymat == np.array([[1, 0, 0], [2, 3, 0], [4, 5, 6]])
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), f"cholesky{i}"
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def assign_both(a1, a2, r, c, v):
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a1[r, c] = v
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a2[r, c] = v
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def array_copy_but_one(a, r, c, v):
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z = np.array(a, copy=True)
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z[r, c] = v
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return z
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def test_eigen_return_references():
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"""Tests various ways of returning references and non-referencing copies"""
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master = np.ones((10, 10))
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a = m.ReturnTester()
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a_get1 = a.get()
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assert not a_get1.flags.owndata and a_get1.flags.writeable
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assign_both(a_get1, master, 3, 3, 5)
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a_get2 = a.get_ptr()
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assert not a_get2.flags.owndata and a_get2.flags.writeable
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assign_both(a_get1, master, 2, 3, 6)
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a_view1 = a.view()
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assert not a_view1.flags.owndata and not a_view1.flags.writeable
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with pytest.raises(ValueError):
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a_view1[2, 3] = 4
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a_view2 = a.view_ptr()
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assert not a_view2.flags.owndata and not a_view2.flags.writeable
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with pytest.raises(ValueError):
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a_view2[2, 3] = 4
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a_copy1 = a.copy_get()
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assert a_copy1.flags.owndata and a_copy1.flags.writeable
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np.testing.assert_array_equal(a_copy1, master)
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a_copy1[7, 7] = -44 # Shouldn't affect anything else
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c1want = array_copy_but_one(master, 7, 7, -44)
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a_copy2 = a.copy_view()
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assert a_copy2.flags.owndata and a_copy2.flags.writeable
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np.testing.assert_array_equal(a_copy2, master)
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a_copy2[4, 4] = -22 # Shouldn't affect anything else
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c2want = array_copy_but_one(master, 4, 4, -22)
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a_ref1 = a.ref()
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assert not a_ref1.flags.owndata and a_ref1.flags.writeable
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assign_both(a_ref1, master, 1, 1, 15)
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a_ref2 = a.ref_const()
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assert not a_ref2.flags.owndata and not a_ref2.flags.writeable
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with pytest.raises(ValueError):
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a_ref2[5, 5] = 33
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a_ref3 = a.ref_safe()
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assert not a_ref3.flags.owndata and a_ref3.flags.writeable
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assign_both(a_ref3, master, 0, 7, 99)
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a_ref4 = a.ref_const_safe()
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assert not a_ref4.flags.owndata and not a_ref4.flags.writeable
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with pytest.raises(ValueError):
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a_ref4[7, 0] = 987654321
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a_copy3 = a.copy_ref()
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assert a_copy3.flags.owndata and a_copy3.flags.writeable
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np.testing.assert_array_equal(a_copy3, master)
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a_copy3[8, 1] = 11
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c3want = array_copy_but_one(master, 8, 1, 11)
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a_copy4 = a.copy_ref_const()
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assert a_copy4.flags.owndata and a_copy4.flags.writeable
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np.testing.assert_array_equal(a_copy4, master)
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a_copy4[8, 4] = 88
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c4want = array_copy_but_one(master, 8, 4, 88)
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a_block1 = a.block(3, 3, 2, 2)
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assert not a_block1.flags.owndata and a_block1.flags.writeable
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a_block1[0, 0] = 55
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master[3, 3] = 55
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a_block2 = a.block_safe(2, 2, 3, 2)
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assert not a_block2.flags.owndata and a_block2.flags.writeable
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a_block2[2, 1] = -123
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master[4, 3] = -123
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a_block3 = a.block_const(6, 7, 4, 3)
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assert not a_block3.flags.owndata and not a_block3.flags.writeable
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with pytest.raises(ValueError):
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a_block3[2, 2] = -44444
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a_copy5 = a.copy_block(2, 2, 2, 3)
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assert a_copy5.flags.owndata and a_copy5.flags.writeable
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np.testing.assert_array_equal(a_copy5, master[2:4, 2:5])
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a_copy5[1, 1] = 777
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c5want = array_copy_but_one(master[2:4, 2:5], 1, 1, 777)
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a_corn1 = a.corners()
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assert not a_corn1.flags.owndata and a_corn1.flags.writeable
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a_corn1 *= 50
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a_corn1[1, 1] = 999
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master[0, 0] = 50
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master[0, 9] = 50
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master[9, 0] = 50
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master[9, 9] = 999
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a_corn2 = a.corners_const()
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assert not a_corn2.flags.owndata and not a_corn2.flags.writeable
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with pytest.raises(ValueError):
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a_corn2[1, 0] = 51
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# All of the changes made all the way along should be visible everywhere
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# now (except for the copies, of course)
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np.testing.assert_array_equal(a_get1, master)
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np.testing.assert_array_equal(a_get2, master)
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np.testing.assert_array_equal(a_view1, master)
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np.testing.assert_array_equal(a_view2, master)
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np.testing.assert_array_equal(a_ref1, master)
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np.testing.assert_array_equal(a_ref2, master)
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np.testing.assert_array_equal(a_ref3, master)
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np.testing.assert_array_equal(a_ref4, master)
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np.testing.assert_array_equal(a_block1, master[3:5, 3:5])
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np.testing.assert_array_equal(a_block2, master[2:5, 2:4])
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np.testing.assert_array_equal(a_block3, master[6:10, 7:10])
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np.testing.assert_array_equal(
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a_corn1, master[0 :: master.shape[0] - 1, 0 :: master.shape[1] - 1]
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)
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np.testing.assert_array_equal(
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a_corn2, master[0 :: master.shape[0] - 1, 0 :: master.shape[1] - 1]
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)
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np.testing.assert_array_equal(a_copy1, c1want)
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np.testing.assert_array_equal(a_copy2, c2want)
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np.testing.assert_array_equal(a_copy3, c3want)
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np.testing.assert_array_equal(a_copy4, c4want)
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np.testing.assert_array_equal(a_copy5, c5want)
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def assert_keeps_alive(cl, method, *args):
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cstats = ConstructorStats.get(cl)
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start_with = cstats.alive()
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a = cl()
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assert cstats.alive() == start_with + 1
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z = method(a, *args)
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assert cstats.alive() == start_with + 1
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del a
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# Here's the keep alive in action:
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assert cstats.alive() == start_with + 1
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del z
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# Keep alive should have expired:
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assert cstats.alive() == start_with
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def test_eigen_keepalive():
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a = m.ReturnTester()
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cstats = ConstructorStats.get(m.ReturnTester)
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assert cstats.alive() == 1
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unsafe = [a.ref(), a.ref_const(), a.block(1, 2, 3, 4)]
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copies = [
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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([[1.0, 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([[1.0, 2, 3], [104, 5, 6], [7, 8, 9]]))
|
|
m.add_cm(zc, 1, 0, 200)
|
|
assert np.all(zc == np.array([[1.0, 2, 3], [204, 5, 6], [7, 8, 9]]))
|
|
|
|
m.add_any(zr, 1, 0, 20)
|
|
assert np.all(zr == np.array([[1.0, 2, 3], [124, 5, 6], [7, 8, 9]]))
|
|
m.add_any(zc, 1, 0, 10)
|
|
assert np.all(zc == np.array([[1.0, 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([[1.0, 3], [7, 9]]))
|
|
assert np.all(cornersc == np.array([[1.0, 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([[1.0, 2, 28], [4, 5, 6], [7, 8, 9]]))
|
|
assert np.all(zc == np.array([[1.0, 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([[11.0, 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([[0.0, 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([1.0, 2, 3, 4, 5, 6, 7]))
|
|
|
|
asymm = np.array([[1.0, 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[numpy.float32[m, 1]]) -> numpy.ndarray[numpy.float32[m, 1]]
|
|
"""
|
|
)
|
|
assert (
|
|
doc(m.double_row)
|
|
== """
|
|
double_row(arg0: numpy.ndarray[numpy.float32[1, n]]) -> numpy.ndarray[numpy.float32[1, n]]
|
|
"""
|
|
)
|
|
assert doc(m.double_complex) == (
|
|
"""
|
|
double_complex(arg0: numpy.ndarray[numpy.complex64[m, 1]])"""
|
|
""" -> numpy.ndarray[numpy.complex64[m, 1]]
|
|
"""
|
|
)
|
|
assert doc(m.double_mat_rm) == (
|
|
"""
|
|
double_mat_rm(arg0: numpy.ndarray[numpy.float32[m, n]])"""
|
|
""" -> numpy.ndarray[numpy.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([[3.0], [7], [11]]))
|
|
assert np.all(m.matrix_multiply(A=a, B=b) == np.array([[3.0], [7], [11]]))
|
|
assert np.all(m.matrix_multiply(B=b, A=a) == np.array([[3.0], [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!"
|
|
|
|
|
|
def test_sparse():
|
|
pytest.importorskip("scipy")
|
|
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()))
|
|
|
|
|
|
def test_sparse_signature(doc):
|
|
pytest.importorskip("scipy")
|
|
assert (
|
|
doc(m.sparse_copy_r)
|
|
== """
|
|
sparse_copy_r(arg0: scipy.sparse.csr_matrix[numpy.float32]) -> scipy.sparse.csr_matrix[numpy.float32]
|
|
"""
|
|
)
|
|
assert (
|
|
doc(m.sparse_copy_c)
|
|
== """
|
|
sparse_copy_c(arg0: scipy.sparse.csc_matrix[numpy.float32]) -> scipy.sparse.csc_matrix[numpy.float32]
|
|
"""
|
|
)
|
|
|
|
|
|
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([[1.0, 2, 3]])) == np.array([[1.0, 102, 203]]))
|
|
assert np.all(
|
|
m.iss738_f1(np.array([[1.0], [2], [3]])) == np.array([[1.0], [12], [23]])
|
|
)
|
|
|
|
assert np.all(m.iss738_f2(np.array([[1.0, 2, 3]])) == np.array([[1.0, 102, 203]]))
|
|
assert np.all(
|
|
m.iss738_f2(np.array([[1.0], [2], [3]])) == np.array([[1.0], [12], [23]])
|
|
)
|
|
|
|
|
|
@pytest.mark.parametrize("func", [m.iss738_f1, m.iss738_f2])
|
|
@pytest.mark.parametrize("sizes", [(0, 2), (2, 0)])
|
|
def test_zero_length(func, sizes):
|
|
"""Ignore strides on a length-0 dimension (even if they would be incompatible length > 1)"""
|
|
assert np.all(func(np.zeros(sizes)) == np.zeros(sizes))
|
|
|
|
|
|
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)
|