| /* | |
| tests/test_numpy_array.cpp -- test core array functionality | |
| Copyright (c) 2016 Ivan Smirnov <i.s.smirnov@gmail.com> | |
| All rights reserved. Use of this source code is governed by a | |
| BSD-style license that can be found in the LICENSE file. | |
| */ | |
| #include <pybind11/numpy.h> | |
| #include <pybind11/stl.h> | |
| #include "pybind11_tests.h" | |
| #include <cstdint> | |
| #include <utility> | |
| #include <vector> | |
| // Size / dtype checks. | |
| struct DtypeCheck { | |
| py::dtype numpy; | |
| py::dtype pybind11; | |
| }; | |
| template <typename T> | |
| DtypeCheck get_dtype_check(const char *name) { | |
| py::module_ np = py::module_::import("numpy"); | |
| DtypeCheck check{}; | |
| check.numpy = np.attr("dtype")(np.attr(name)); | |
| check.pybind11 = py::dtype::of<T>(); | |
| return check; | |
| } | |
| std::vector<DtypeCheck> get_concrete_dtype_checks() { | |
| return {// Normalization | |
| get_dtype_check<std::int8_t>("int8"), | |
| get_dtype_check<std::uint8_t>("uint8"), | |
| get_dtype_check<std::int16_t>("int16"), | |
| get_dtype_check<std::uint16_t>("uint16"), | |
| get_dtype_check<std::int32_t>("int32"), | |
| get_dtype_check<std::uint32_t>("uint32"), | |
| get_dtype_check<std::int64_t>("int64"), | |
| get_dtype_check<std::uint64_t>("uint64")}; | |
| } | |
| struct DtypeSizeCheck { | |
| std::string name; | |
| int size_cpp{}; | |
| int size_numpy{}; | |
| // For debugging. | |
| py::dtype dtype; | |
| }; | |
| template <typename T> | |
| DtypeSizeCheck get_dtype_size_check() { | |
| DtypeSizeCheck check{}; | |
| check.name = py::type_id<T>(); | |
| check.size_cpp = sizeof(T); | |
| check.dtype = py::dtype::of<T>(); | |
| check.size_numpy = check.dtype.attr("itemsize").template cast<int>(); | |
| return check; | |
| } | |
| std::vector<DtypeSizeCheck> get_platform_dtype_size_checks() { | |
| return { | |
| get_dtype_size_check<short>(), | |
| get_dtype_size_check<unsigned short>(), | |
| get_dtype_size_check<int>(), | |
| get_dtype_size_check<unsigned int>(), | |
| get_dtype_size_check<long>(), | |
| get_dtype_size_check<unsigned long>(), | |
| get_dtype_size_check<long long>(), | |
| get_dtype_size_check<unsigned long long>(), | |
| }; | |
| } | |
| // Arrays. | |
| using arr = py::array; | |
| using arr_t = py::array_t<uint16_t, 0>; | |
| static_assert(std::is_same<arr_t::value_type, uint16_t>::value, ""); | |
| template <typename... Ix> | |
| arr data(const arr &a, Ix... index) { | |
| return arr(a.nbytes() - a.offset_at(index...), (const uint8_t *) a.data(index...)); | |
| } | |
| template <typename... Ix> | |
| arr data_t(const arr_t &a, Ix... index) { | |
| return arr(a.size() - a.index_at(index...), a.data(index...)); | |
| } | |
| template <typename... Ix> | |
| arr &mutate_data(arr &a, Ix... index) { | |
| auto *ptr = (uint8_t *) a.mutable_data(index...); | |
| for (py::ssize_t i = 0; i < a.nbytes() - a.offset_at(index...); i++) { | |
| ptr[i] = (uint8_t) (ptr[i] * 2); | |
| } | |
| return a; | |
| } | |
| template <typename... Ix> | |
| arr_t &mutate_data_t(arr_t &a, Ix... index) { | |
| auto ptr = a.mutable_data(index...); | |
| for (py::ssize_t i = 0; i < a.size() - a.index_at(index...); i++) { | |
| ptr[i]++; | |
| } | |
| return a; | |
| } | |
| template <typename... Ix> | |
| py::ssize_t index_at(const arr &a, Ix... idx) { | |
| return a.index_at(idx...); | |
| } | |
| template <typename... Ix> | |
| py::ssize_t index_at_t(const arr_t &a, Ix... idx) { | |
| return a.index_at(idx...); | |
| } | |
| template <typename... Ix> | |
| py::ssize_t offset_at(const arr &a, Ix... idx) { | |
| return a.offset_at(idx...); | |
| } | |
| template <typename... Ix> | |
| py::ssize_t offset_at_t(const arr_t &a, Ix... idx) { | |
| return a.offset_at(idx...); | |
| } | |
| template <typename... Ix> | |
| py::ssize_t at_t(const arr_t &a, Ix... idx) { | |
| return a.at(idx...); | |
| } | |
| template <typename... Ix> | |
| arr_t &mutate_at_t(arr_t &a, Ix... idx) { | |
| a.mutable_at(idx...)++; | |
| return a; | |
| } | |
| #define def_index_fn(name, type) \ | |
| sm.def(#name, [](type a) { return name(a); }); \ | |
| sm.def(#name, [](type a, py::ssize_t i) { return name(a, i); }); \ | |
| sm.def(#name, [](type a, py::ssize_t i, py::ssize_t j) { return name(a, i, j); }); \ | |
| sm.def(#name, \ | |
| [](type a, py::ssize_t i, py::ssize_t j, py::ssize_t k) { return name(a, i, j, k); }); | |
| template <typename T, typename T2> | |
| py::handle auxiliaries(T &&r, T2 &&r2) { | |
| if (r.ndim() != 2) { | |
| throw std::domain_error("error: ndim != 2"); | |
| } | |
| py::list l; | |
| l.append(*r.data(0, 0)); | |
| l.append(*r2.mutable_data(0, 0)); | |
| l.append(r.data(0, 1) == r2.mutable_data(0, 1)); | |
| l.append(r.ndim()); | |
| l.append(r.itemsize()); | |
| l.append(r.shape(0)); | |
| l.append(r.shape(1)); | |
| l.append(r.size()); | |
| l.append(r.nbytes()); | |
| return l.release(); | |
| } | |
| template <typename PyObjectType> | |
| PyObjectType convert_to_pyobjecttype(py::object obj); | |
| template <> | |
| PyObject *convert_to_pyobjecttype<PyObject *>(py::object obj) { | |
| return obj.release().ptr(); | |
| } | |
| template <> | |
| py::handle convert_to_pyobjecttype<py::handle>(py::object obj) { | |
| return obj.release(); | |
| } | |
| template <> | |
| py::object convert_to_pyobjecttype<py::object>(py::object obj) { | |
| return obj; | |
| } | |
| template <typename PyObjectType> | |
| std::string pass_array_return_sum_str_values(const py::array_t<PyObjectType> &objs) { | |
| std::string sum_str_values; | |
| for (const auto &obj : objs) { | |
| sum_str_values += py::str(obj.attr("value")); | |
| } | |
| return sum_str_values; | |
| } | |
| template <typename PyObjectType> | |
| py::list pass_array_return_as_list(const py::array_t<PyObjectType> &objs) { | |
| return objs; | |
| } | |
| template <typename PyObjectType> | |
| py::array_t<PyObjectType> return_array_cpp_loop(const py::list &objs) { | |
| py::size_t arr_size = py::len(objs); | |
| py::array_t<PyObjectType> arr_from_list(static_cast<py::ssize_t>(arr_size)); | |
| PyObjectType *data = arr_from_list.mutable_data(); | |
| for (py::size_t i = 0; i < arr_size; i++) { | |
| assert(!data[i]); | |
| data[i] = convert_to_pyobjecttype<PyObjectType>(objs[i].attr("value")); | |
| } | |
| return arr_from_list; | |
| } | |
| template <typename PyObjectType> | |
| py::array_t<PyObjectType> return_array_from_list(const py::list &objs) { | |
| return objs; | |
| } | |
| // note: declaration at local scope would create a dangling reference! | |
| static int data_i = 42; | |
| TEST_SUBMODULE(numpy_array, sm) { | |
| try { | |
| py::module_::import("numpy"); | |
| } catch (const py::error_already_set &) { | |
| return; | |
| } | |
| // test_dtypes | |
| py::class_<DtypeCheck>(sm, "DtypeCheck") | |
| .def_readonly("numpy", &DtypeCheck::numpy) | |
| .def_readonly("pybind11", &DtypeCheck::pybind11) | |
| .def("__repr__", [](const DtypeCheck &self) { | |
| return py::str("<DtypeCheck numpy={} pybind11={}>").format(self.numpy, self.pybind11); | |
| }); | |
| sm.def("get_concrete_dtype_checks", &get_concrete_dtype_checks); | |
| py::class_<DtypeSizeCheck>(sm, "DtypeSizeCheck") | |
| .def_readonly("name", &DtypeSizeCheck::name) | |
| .def_readonly("size_cpp", &DtypeSizeCheck::size_cpp) | |
| .def_readonly("size_numpy", &DtypeSizeCheck::size_numpy) | |
| .def("__repr__", [](const DtypeSizeCheck &self) { | |
| return py::str("<DtypeSizeCheck name='{}' size_cpp={} size_numpy={} dtype={}>") | |
| .format(self.name, self.size_cpp, self.size_numpy, self.dtype); | |
| }); | |
| sm.def("get_platform_dtype_size_checks", &get_platform_dtype_size_checks); | |
| // test_array_attributes | |
| sm.def("ndim", [](const arr &a) { return a.ndim(); }); | |
| sm.def("shape", [](const arr &a) { return arr(a.ndim(), a.shape()); }); | |
| sm.def("shape", [](const arr &a, py::ssize_t dim) { return a.shape(dim); }); | |
| sm.def("strides", [](const arr &a) { return arr(a.ndim(), a.strides()); }); | |
| sm.def("strides", [](const arr &a, py::ssize_t dim) { return a.strides(dim); }); | |
| sm.def("writeable", [](const arr &a) { return a.writeable(); }); | |
| sm.def("size", [](const arr &a) { return a.size(); }); | |
| sm.def("itemsize", [](const arr &a) { return a.itemsize(); }); | |
| sm.def("nbytes", [](const arr &a) { return a.nbytes(); }); | |
| sm.def("owndata", [](const arr &a) { return a.owndata(); }); | |
| #ifdef PYBIND11_HAS_SPAN | |
| // test_shape_strides_span | |
| sm.def("shape_span", [](const arr &a) { | |
| auto span = a.shape_span(); | |
| return std::vector<py::ssize_t>(span.begin(), span.end()); | |
| }); | |
| sm.def("strides_span", [](const arr &a) { | |
| auto span = a.strides_span(); | |
| return std::vector<py::ssize_t>(span.begin(), span.end()); | |
| }); | |
| // Test that spans can be used to construct new arrays | |
| sm.def("array_from_spans", [](const arr &a) { | |
| return py::array(a.dtype(), a.shape_span(), a.strides_span(), a.data(), a); | |
| }); | |
| #endif | |
| // test_index_offset | |
| def_index_fn(index_at, const arr &); | |
| def_index_fn(index_at_t, const arr_t &); | |
| def_index_fn(offset_at, const arr &); | |
| def_index_fn(offset_at_t, const arr_t &); | |
| // test_data | |
| def_index_fn(data, const arr &); | |
| def_index_fn(data_t, const arr_t &); | |
| // test_mutate_data, test_mutate_readonly | |
| def_index_fn(mutate_data, arr &); | |
| def_index_fn(mutate_data_t, arr_t &); | |
| def_index_fn(at_t, const arr_t &); | |
| def_index_fn(mutate_at_t, arr_t &); | |
| // test_make_c_f_array | |
| sm.def("make_f_array", [] { return py::array_t<float>({2, 2}, {4, 8}); }); | |
| sm.def("make_c_array", [] { return py::array_t<float>({2, 2}, {8, 4}); }); | |
| // test_empty_shaped_array | |
| sm.def("make_empty_shaped_array", [] { return py::array(py::dtype("f"), {}, {}); }); | |
| // test numpy scalars (empty shape, ndim==0) | |
| sm.def("scalar_int", []() { return py::array(py::dtype("i"), {}, {}, &data_i); }); | |
| // test_wrap | |
| sm.def("wrap", [](const py::array &a) { | |
| return py::array(a.dtype(), | |
| {a.shape(), a.shape() + a.ndim()}, | |
| {a.strides(), a.strides() + a.ndim()}, | |
| a.data(), | |
| a); | |
| }); | |
| // test_numpy_view | |
| struct ArrayClass { | |
| int data[2] = {1, 2}; | |
| ArrayClass() { py::print("ArrayClass()"); } | |
| ArrayClass(const ArrayClass &) = default; | |
| ~ArrayClass() { py::print("~ArrayClass()"); } | |
| }; | |
| py::class_<ArrayClass>(sm, "ArrayClass") | |
| .def(py::init<>()) | |
| .def("numpy_view", [](py::object &obj) { | |
| py::print("ArrayClass::numpy_view()"); | |
| auto &a = obj.cast<ArrayClass &>(); | |
| return py::array_t<int>({2}, {4}, a.data, obj); | |
| }); | |
| // test_cast_numpy_int64_to_uint64 | |
| sm.def("function_taking_uint64", [](uint64_t) {}); | |
| // test_isinstance | |
| sm.def("isinstance_untyped", [](py::object yes, py::object no) { | |
| return py::isinstance<py::array>(std::move(yes)) | |
| && !py::isinstance<py::array>(std::move(no)); | |
| }); | |
| sm.def("isinstance_typed", [](const py::object &o) { | |
| return py::isinstance<py::array_t<double>>(o) && !py::isinstance<py::array_t<int>>(o); | |
| }); | |
| // test_constructors | |
| sm.def("default_constructors", []() { | |
| return py::dict("array"_a = py::array(), | |
| "array_t<int32>"_a = py::array_t<std::int32_t>(), | |
| "array_t<double>"_a = py::array_t<double>()); | |
| }); | |
| sm.def("converting_constructors", [](const py::object &o) { | |
| return py::dict("array"_a = py::array(o), | |
| "array_t<int32>"_a = py::array_t<std::int32_t>(o), | |
| "array_t<double>"_a = py::array_t<double>(o)); | |
| }); | |
| // test_overload_resolution | |
| sm.def("overloaded", [](const py::array_t<double> &) { return "double"; }); | |
| sm.def("overloaded", [](const py::array_t<float> &) { return "float"; }); | |
| sm.def("overloaded", [](const py::array_t<int> &) { return "int"; }); | |
| sm.def("overloaded", [](const py::array_t<unsigned short> &) { return "unsigned short"; }); | |
| sm.def("overloaded", [](const py::array_t<long long> &) { return "long long"; }); | |
| sm.def("overloaded", | |
| [](const py::array_t<std::complex<double>> &) { return "double complex"; }); | |
| sm.def("overloaded", [](const py::array_t<std::complex<float>> &) { return "float complex"; }); | |
| sm.def("overloaded2", | |
| [](const py::array_t<std::complex<double>> &) { return "double complex"; }); | |
| sm.def("overloaded2", [](const py::array_t<double> &) { return "double"; }); | |
| sm.def("overloaded2", | |
| [](const py::array_t<std::complex<float>> &) { return "float complex"; }); | |
| sm.def("overloaded2", [](const py::array_t<float> &) { return "float"; }); | |
| // [workaround(intel)] ICC 20/21 breaks with py::arg().stuff, using py::arg{}.stuff works. | |
| // Only accept the exact types: | |
| sm.def("overloaded3", [](const py::array_t<int> &) { return "int"; }, py::arg{}.noconvert()); | |
| sm.def( | |
| "overloaded3", | |
| [](const py::array_t<double> &) { return "double"; }, | |
| py::arg{}.noconvert()); | |
| // Make sure we don't do unsafe coercion (e.g. float to int) when not using forcecast, but | |
| // rather that float gets converted via the safe (conversion to double) overload: | |
| sm.def("overloaded4", [](const py::array_t<long long, 0> &) { return "long long"; }); | |
| sm.def("overloaded4", [](const py::array_t<double, 0> &) { return "double"; }); | |
| // But we do allow conversion to int if forcecast is enabled (but only if no overload matches | |
| // without conversion) | |
| sm.def("overloaded5", [](const py::array_t<unsigned int> &) { return "unsigned int"; }); | |
| sm.def("overloaded5", [](const py::array_t<double> &) { return "double"; }); | |
| // test_greedy_string_overload | |
| // Issue 685: ndarray shouldn't go to std::string overload | |
| sm.def("issue685", [](const std::string &) { return "string"; }); | |
| sm.def("issue685", [](const py::array &) { return "array"; }); | |
| sm.def("issue685", [](const py::object &) { return "other"; }); | |
| // test_array_unchecked_fixed_dims | |
| sm.def( | |
| "proxy_add2", | |
| [](py::array_t<double> a, double v) { | |
| auto r = a.mutable_unchecked<2>(); | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| for (py::ssize_t j = 0; j < r.shape(1); j++) { | |
| r(i, j) += v; | |
| } | |
| } | |
| }, | |
| py::arg{}.noconvert(), | |
| py::arg()); | |
| sm.def("proxy_init3", [](double start) { | |
| py::array_t<double, py::array::c_style> a({3, 3, 3}); | |
| auto r = a.mutable_unchecked<3>(); | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| for (py::ssize_t j = 0; j < r.shape(1); j++) { | |
| for (py::ssize_t k = 0; k < r.shape(2); k++) { | |
| r(i, j, k) = start++; | |
| } | |
| } | |
| } | |
| return a; | |
| }); | |
| sm.def("proxy_init3F", [](double start) { | |
| py::array_t<double, py::array::f_style> a({3, 3, 3}); | |
| auto r = a.mutable_unchecked<3>(); | |
| for (py::ssize_t k = 0; k < r.shape(2); k++) { | |
| for (py::ssize_t j = 0; j < r.shape(1); j++) { | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| r(i, j, k) = start++; | |
| } | |
| } | |
| } | |
| return a; | |
| }); | |
| sm.def("proxy_squared_L2_norm", [](const py::array_t<double> &a) { | |
| auto r = a.unchecked<1>(); | |
| double sumsq = 0; | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| sumsq += r[i] * r(i); // Either notation works for a 1D array | |
| } | |
| return sumsq; | |
| }); | |
| sm.def("proxy_auxiliaries2", [](py::array_t<double> a) { | |
| auto r = a.unchecked<2>(); | |
| auto r2 = a.mutable_unchecked<2>(); | |
| return auxiliaries(r, r2); | |
| }); | |
| sm.def("proxy_auxiliaries1_const_ref", [](py::array_t<double> a) { | |
| const auto &r = a.unchecked<1>(); | |
| const auto &r2 = a.mutable_unchecked<1>(); | |
| return r(0) == r2(0) && r[0] == r2[0]; | |
| }); | |
| sm.def("proxy_auxiliaries2_const_ref", [](py::array_t<double> a) { | |
| const auto &r = a.unchecked<2>(); | |
| const auto &r2 = a.mutable_unchecked<2>(); | |
| return r(0, 0) == r2(0, 0); | |
| }); | |
| // test_array_unchecked_dyn_dims | |
| // Same as the above, but without a compile-time dimensions specification: | |
| sm.def( | |
| "proxy_add2_dyn", | |
| [](py::array_t<double> a, double v) { | |
| auto r = a.mutable_unchecked(); | |
| if (r.ndim() != 2) { | |
| throw std::domain_error("error: ndim != 2"); | |
| } | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| for (py::ssize_t j = 0; j < r.shape(1); j++) { | |
| r(i, j) += v; | |
| } | |
| } | |
| }, | |
| py::arg{}.noconvert(), | |
| py::arg()); | |
| sm.def("proxy_init3_dyn", [](double start) { | |
| py::array_t<double, py::array::c_style> a({3, 3, 3}); | |
| auto r = a.mutable_unchecked(); | |
| if (r.ndim() != 3) { | |
| throw std::domain_error("error: ndim != 3"); | |
| } | |
| for (py::ssize_t i = 0; i < r.shape(0); i++) { | |
| for (py::ssize_t j = 0; j < r.shape(1); j++) { | |
| for (py::ssize_t k = 0; k < r.shape(2); k++) { | |
| r(i, j, k) = start++; | |
| } | |
| } | |
| } | |
| return a; | |
| }); | |
| sm.def("proxy_auxiliaries2_dyn", [](py::array_t<double> a) { | |
| return auxiliaries(a.unchecked(), a.mutable_unchecked()); | |
| }); | |
| sm.def("array_auxiliaries2", [](py::array_t<double> a) { return auxiliaries(a, a); }); | |
| // test_array_failures | |
| // Issue #785: Uninformative "Unknown internal error" exception when constructing array from | |
| // empty object: | |
| sm.def("array_fail_test", []() { return py::array(py::object()); }); | |
| sm.def("array_t_fail_test", []() { return py::array_t<double>(py::object()); }); | |
| // Make sure the error from numpy is being passed through: | |
| sm.def("array_fail_test_negative_size", []() { | |
| int c = 0; | |
| return py::array(-1, &c); | |
| }); | |
| // test_initializer_list | |
| // Issue (unnumbered; reported in #788): regression: initializer lists can be ambiguous | |
| sm.def("array_initializer_list1", []() { return py::array_t<float>(1); }); | |
| // { 1 } also works for the above, but clang warns about it | |
| sm.def("array_initializer_list2", []() { return py::array_t<float>({1, 2}); }); | |
| sm.def("array_initializer_list3", []() { return py::array_t<float>({1, 2, 3}); }); | |
| sm.def("array_initializer_list4", []() { return py::array_t<float>({1, 2, 3, 4}); }); | |
| // test_array_resize | |
| // reshape array to 2D without changing size | |
| sm.def("array_reshape2", [](py::array_t<double> a) { | |
| const auto dim_sz = (py::ssize_t) std::sqrt(a.size()); | |
| if (dim_sz * dim_sz != a.size()) { | |
| throw std::domain_error( | |
| "array_reshape2: input array total size is not a squared integer"); | |
| } | |
| a.resize({dim_sz, dim_sz}); | |
| }); | |
| // resize to 3D array with each dimension = N | |
| sm.def("array_resize3", | |
| [](py::array_t<double> a, size_t N, bool refcheck) { a.resize({N, N, N}, refcheck); }); | |
| // test_array_create_and_resize | |
| // return 2D array with Nrows = Ncols = N | |
| sm.def("create_and_resize", [](size_t N) { | |
| py::array_t<double> a; | |
| a.resize({N, N}); | |
| std::fill(a.mutable_data(), a.mutable_data() + a.size(), 42.); | |
| return a; | |
| }); | |
| sm.def("array_view", | |
| [](py::array_t<uint8_t> a, const std::string &dtype) { return a.view(dtype); }); | |
| sm.def("reshape_initializer_list", | |
| [](py::array_t<int> a, size_t N, size_t M, size_t O) { return a.reshape({N, M, O}); }); | |
| sm.def("reshape_tuple", [](py::array_t<int> a, const std::vector<int> &new_shape) { | |
| return a.reshape(new_shape); | |
| }); | |
| sm.def("index_using_ellipsis", | |
| [](const py::array &a) { return a[py::make_tuple(0, py::ellipsis(), 0)]; }); | |
| // test_argument_conversions | |
| sm.def("accept_double", [](const py::array_t<double, 0> &) {}, py::arg("a")); | |
| sm.def( | |
| "accept_double_forcecast", | |
| [](const py::array_t<double, py::array::forcecast> &) {}, | |
| py::arg("a")); | |
| sm.def( | |
| "accept_double_c_style", | |
| [](const py::array_t<double, py::array::c_style> &) {}, | |
| py::arg("a")); | |
| sm.def( | |
| "accept_double_c_style_forcecast", | |
| [](const py::array_t<double, py::array::forcecast | py::array::c_style> &) {}, | |
| py::arg("a")); | |
| sm.def( | |
| "accept_double_f_style", | |
| [](const py::array_t<double, py::array::f_style> &) {}, | |
| py::arg("a")); | |
| sm.def( | |
| "accept_double_f_style_forcecast", | |
| [](const py::array_t<double, py::array::forcecast | py::array::f_style> &) {}, | |
| py::arg("a")); | |
| sm.def("accept_double_noconvert", [](const py::array_t<double, 0> &) {}, "a"_a.noconvert()); | |
| sm.def( | |
| "accept_double_forcecast_noconvert", | |
| [](const py::array_t<double, py::array::forcecast> &) {}, | |
| "a"_a.noconvert()); | |
| sm.def( | |
| "accept_double_c_style_noconvert", | |
| [](const py::array_t<double, py::array::c_style> &) {}, | |
| "a"_a.noconvert()); | |
| sm.def( | |
| "accept_double_c_style_forcecast_noconvert", | |
| [](const py::array_t<double, py::array::forcecast | py::array::c_style> &) {}, | |
| "a"_a.noconvert()); | |
| sm.def( | |
| "accept_double_f_style_noconvert", | |
| [](const py::array_t<double, py::array::f_style> &) {}, | |
| "a"_a.noconvert()); | |
| sm.def( | |
| "accept_double_f_style_forcecast_noconvert", | |
| [](const py::array_t<double, py::array::forcecast | py::array::f_style> &) {}, | |
| "a"_a.noconvert()); | |
| // Check that types returns correct npy format descriptor | |
| sm.def("test_fmt_desc_float", [](const py::array_t<float> &) {}); | |
| sm.def("test_fmt_desc_double", [](const py::array_t<double> &) {}); | |
| sm.def("test_fmt_desc_const_float", [](const py::array_t<const float> &) {}); | |
| sm.def("test_fmt_desc_const_double", [](const py::array_t<const double> &) {}); | |
| sm.def("round_trip_float", [](double d) { return d; }); | |
| sm.def("pass_array_pyobject_ptr_return_sum_str_values", | |
| pass_array_return_sum_str_values<PyObject *>); | |
| sm.def("pass_array_handle_return_sum_str_values", | |
| pass_array_return_sum_str_values<py::handle>); | |
| sm.def("pass_array_object_return_sum_str_values", | |
| pass_array_return_sum_str_values<py::object>); | |
| sm.def("pass_array_pyobject_ptr_return_as_list", pass_array_return_as_list<PyObject *>); | |
| sm.def("pass_array_handle_return_as_list", pass_array_return_as_list<py::handle>); | |
| sm.def("pass_array_object_return_as_list", pass_array_return_as_list<py::object>); | |
| sm.def("return_array_pyobject_ptr_cpp_loop", return_array_cpp_loop<PyObject *>); | |
| sm.def("return_array_handle_cpp_loop", return_array_cpp_loop<py::handle>); | |
| sm.def("return_array_object_cpp_loop", return_array_cpp_loop<py::object>); | |
| sm.def("return_array_pyobject_ptr_from_list", return_array_from_list<PyObject *>); | |
| sm.def("return_array_handle_from_list", return_array_from_list<py::handle>); | |
| sm.def("return_array_object_from_list", return_array_from_list<py::object>); | |
| sm.def( | |
| "round_trip_array_t", | |
| [](const py::array_t<float> &x) -> py::array_t<float> { return x; }, | |
| py::arg("x")); | |
| sm.def( | |
| "round_trip_array_t_noconvert", | |
| [](const py::array_t<float> &x) -> py::array_t<float> { return x; }, | |
| py::arg("x").noconvert()); | |
| } |