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