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)
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)
# Mutator:
double_threer(second_row)
double_threec(second_col)
np.testing.assert_array_equal(counting_mat, [[0., 2, 2], [6, 16, 10], [6, 14, 8]])
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)
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)
# Mutator:
double_threer(second_row)
double_threec(second_col)
np.testing.assert_array_equal(counting_mat, [[0., 2, 2], [6, 16, 10], [6, 14, 8]])
def test_nonunit_stride_from_python():
from pybind11_tests import double_row, double_col, double_mat_cm, double_mat_rm
counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
first_row = counting_mat[0, :]
first_col = counting_mat[:, 0]
assert np.array_equal(double_row(first_row), 2.0 * first_row)
assert np.array_equal(double_col(first_row), 2.0 * first_row)
assert np.array_equal(double_row(first_col), 2.0 * first_col)
assert np.array_equal(double_col(first_col), 2.0 * first_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):
assert np.array_equal(double_mat_cm(ref_mat), 2.0 * ref_mat)
assert np.array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat)
def test_nonunit_stride_from_python():
from pybind11_tests import double_row, double_col, double_mat_cm, double_mat_rm
counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
first_row = counting_mat[0, :]
first_col = counting_mat[:, 0]
assert np.array_equal(double_row(first_row), 2.0 * first_row)
assert np.array_equal(double_col(first_row), 2.0 * first_row)
assert np.array_equal(double_row(first_col), 2.0 * first_col)
assert np.array_equal(double_col(first_col), 2.0 * first_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):
assert np.array_equal(double_mat_cm(ref_mat), 2.0 * ref_mat)
assert np.array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat)
def test_negative_stride_from_python(msg):
from pybind11_tests import (
double_row, double_col, double_complex, double_mat_cm, double_mat_rm,
double_threec, double_threer)
# 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(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)
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(double_mat_cm(ref_mat), 2.0 * ref_mat)
np.testing.assert_array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat)
# Mutator:
with pytest.raises(TypeError) as excinfo:
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)
"""
with pytest.raises(TypeError) as excinfo:
double_threec(second_col)
assert msg(excinfo.value) == """
def test_negative_stride_from_python(msg):
from pybind11_tests import (
double_row, double_col, double_complex, double_mat_cm, double_mat_rm,
double_threec, double_threer)
# 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(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)
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(double_mat_cm(ref_mat), 2.0 * ref_mat)
np.testing.assert_array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat)
# Mutator:
with pytest.raises(TypeError) as excinfo:
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)
"""
with pytest.raises(TypeError) as excinfo:
double_threec(second_col)
assert msg(excinfo.value) == """
