Fix compilation of Eigen casters with complex scalars

This commit is contained in:
Dean Moldovan 2017-02-28 18:07:51 +01:00 committed by Wenzel Jakob
parent 5687b337f9
commit 5143989623
3 changed files with 9 additions and 3 deletions

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@ -731,7 +731,7 @@ public:
template <typename T2 = T, enable_if_t<is_complex<T2>::value, int> = 0>
static PYBIND11_DESCR name() {
return _<std::is_same<typename T2::value_type, float>::value || std::is_same<typename T2::value_type, double>::value>(
_("complex") + _<sizeof(T2::value_type)*16>(), _("longcomplex"));
_("complex") + _<sizeof(typename T2::value_type)*16>(), _("longcomplex"));
}
};

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@ -66,6 +66,7 @@ test_initializer eigen([](py::module &m) {
m.def("double_col", [](const Eigen::VectorXf &x) -> Eigen::VectorXf { return 2.0f * x; });
m.def("double_row", [](const Eigen::RowVectorXf &x) -> Eigen::RowVectorXf { return 2.0f * x; });
m.def("double_complex", [](const Eigen::VectorXcf &x) -> Eigen::VectorXcf { return 2.0f * x; });
m.def("double_threec", [](py::EigenDRef<Eigen::Vector3f> x) { x *= 2; });
m.def("double_threer", [](py::EigenDRef<Eigen::RowVector3f> x) { x *= 2; });
m.def("double_mat_cm", [](Eigen::MatrixXf x) -> Eigen::MatrixXf { return 2.0f * x; });

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@ -129,7 +129,7 @@ def test_pass_readonly_array():
def test_nonunit_stride_from_python():
from pybind11_tests import (
double_row, double_col, double_mat_cm, double_mat_rm,
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))
@ -137,8 +137,10 @@ def test_nonunit_stride_from_python():
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]]
@ -564,7 +566,7 @@ def test_special_matrix_objects():
def test_dense_signature(doc):
from pybind11_tests import double_col, double_row, double_mat_rm
from pybind11_tests import double_col, double_row, double_complex, double_mat_rm
assert doc(double_col) == """
double_col(arg0: numpy.ndarray[float32[m, 1]]) -> numpy.ndarray[float32[m, 1]]
@ -572,6 +574,9 @@ def test_dense_signature(doc):
assert doc(double_row) == """
double_row(arg0: numpy.ndarray[float32[1, n]]) -> numpy.ndarray[float32[1, n]]
"""
assert doc(double_complex) == """
double_complex(arg0: numpy.ndarray[complex64[m, 1]]) -> numpy.ndarray[complex64[m, 1]]
"""
assert doc(double_mat_rm) == """
double_mat_rm(arg0: numpy.ndarray[float32[m, n]]) -> numpy.ndarray[float32[m, n]]
"""