/* tests/test_numpy_array.cpp -- test core array functionality Copyright (c) 2016 Ivan Smirnov All rights reserved. Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. */ #include #include #include "pybind11_tests.h" #include #include // Size / dtype checks. struct DtypeCheck { py::dtype numpy{}; py::dtype pybind11{}; }; template 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(); return check; } std::vector get_concrete_dtype_checks() { return {// Normalization get_dtype_check("int8"), get_dtype_check("uint8"), get_dtype_check("int16"), get_dtype_check("uint16"), get_dtype_check("int32"), get_dtype_check("uint32"), get_dtype_check("int64"), get_dtype_check("uint64")}; } struct DtypeSizeCheck { std::string name{}; int size_cpp{}; int size_numpy{}; // For debugging. py::dtype dtype{}; }; template DtypeSizeCheck get_dtype_size_check() { DtypeSizeCheck check{}; check.name = py::type_id(); check.size_cpp = sizeof(T); check.dtype = py::dtype::of(); check.size_numpy = check.dtype.attr("itemsize").template cast(); return check; } std::vector get_platform_dtype_size_checks() { return { get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), get_dtype_size_check(), }; } // Arrays. using arr = py::array; using arr_t = py::array_t; static_assert(std::is_same::value, ""); template arr data(const arr &a, Ix... index) { return arr(a.nbytes() - a.offset_at(index...), (const uint8_t *) a.data(index...)); } template arr data_t(const arr_t &a, Ix... index) { return arr(a.size() - a.index_at(index...), a.data(index...)); } template 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 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 py::ssize_t index_at(const arr &a, Ix... idx) { return a.index_at(idx...); } template py::ssize_t index_at_t(const arr_t &a, Ix... idx) { return a.index_at(idx...); } template py::ssize_t offset_at(const arr &a, Ix... idx) { return a.offset_at(idx...); } template py::ssize_t offset_at_t(const arr_t &a, Ix... idx) { return a.offset_at(idx...); } template py::ssize_t at_t(const arr_t &a, Ix... idx) { return a.at(idx...); } template arr_t &mutate_at_t(arr_t &a, Ix... idx) { a.mutable_at(idx...)++; return a; } template arr_t &subscript_via_call_operator_t(arr_t &a, Ix... idx) { a(idx...)++; return a; } template py::ssize_t const_subscript_via_call_operator_t(const arr_t &a, Ix... idx) { return a(idx...); } #define def_index_fn(name, type) \ sm.def(#name, [](type a) { return name(a); }); \ sm.def(#name, [](type a, int i) { return name(a, i); }); \ sm.def(#name, [](type a, int i, int j) { return name(a, i, j); }); \ sm.def(#name, [](type a, int i, int j, int k) { return name(a, i, j, k); }); template 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(); } // 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_(sm, "DtypeCheck") .def_readonly("numpy", &DtypeCheck::numpy) .def_readonly("pybind11", &DtypeCheck::pybind11) .def("__repr__", [](const DtypeCheck &self) { return py::str("").format(self.numpy, self.pybind11); }); sm.def("get_concrete_dtype_checks", &get_concrete_dtype_checks); py::class_(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("") .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(); }); sm.attr("defined_NDEBUG") = #ifdef NDEBUG true; #else false; #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 &); def_index_fn(subscript_via_call_operator_t, arr_t &); def_index_fn(const_subscript_via_call_operator_t, const arr_t &); // test_make_c_f_array sm.def("make_f_array", [] { return py::array_t({2, 2}, {4, 8}); }); sm.def("make_c_array", [] { return py::array_t({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() { py::print("~ArrayClass()"); } }; py::class_(sm, "ArrayClass") .def(py::init<>()) .def("numpy_view", [](py::object &obj) { py::print("ArrayClass::numpy_view()"); auto &a = obj.cast(); return py::array_t({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(std::move(yes)) && !py::isinstance(std::move(no)); }); sm.def("isinstance_typed", [](const py::object &o) { return py::isinstance>(o) && !py::isinstance>(o); }); // test_constructors sm.def("default_constructors", []() { return py::dict("array"_a = py::array(), "array_t"_a = py::array_t(), "array_t"_a = py::array_t()); }); sm.def("converting_constructors", [](const py::object &o) { return py::dict("array"_a = py::array(o), "array_t"_a = py::array_t(o), "array_t"_a = py::array_t(o)); }); // test_overload_resolution sm.def("overloaded", [](const py::array_t &) { return "double"; }); sm.def("overloaded", [](const py::array_t &) { return "float"; }); sm.def("overloaded", [](const py::array_t &) { return "int"; }); sm.def("overloaded", [](const py::array_t &) { return "unsigned short"; }); sm.def("overloaded", [](const py::array_t &) { return "long long"; }); sm.def("overloaded", [](const py::array_t> &) { return "double complex"; }); sm.def("overloaded", [](const py::array_t> &) { return "float complex"; }); sm.def("overloaded2", [](const py::array_t> &) { return "double complex"; }); sm.def("overloaded2", [](const py::array_t &) { return "double"; }); sm.def("overloaded2", [](const py::array_t> &) { return "float complex"; }); sm.def("overloaded2", [](const py::array_t &) { 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 &) { return "int"; }, py::arg{}.noconvert()); sm.def( "overloaded3", [](const py::array_t &) { 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 &) { return "long long"; }); sm.def("overloaded4", [](const py::array_t &) { 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 &) { return "unsigned int"; }); sm.def("overloaded5", [](const py::array_t &) { 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 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 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 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 &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 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 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 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 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 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 a) { return auxiliaries(a.unchecked(), a.mutable_unchecked()); }); sm.def("array_auxiliaries2", [](py::array_t 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(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(1); }); // { 1 } also works for the above, but clang warns about it sm.def("array_initializer_list2", []() { return py::array_t({1, 2}); }); sm.def("array_initializer_list3", []() { return py::array_t({1, 2, 3}); }); sm.def("array_initializer_list4", []() { return py::array_t({1, 2, 3, 4}); }); // test_array_resize // reshape array to 2D without changing size sm.def("array_reshape2", [](py::array_t 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 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 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 a, const std::string &dtype) { return a.view(dtype); }); sm.def("reshape_initializer_list", [](py::array_t a, size_t N, size_t M, size_t O) { return a.reshape({N, M, O}); }); sm.def("reshape_tuple", [](py::array_t a, const std::vector &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 &) {}, py::arg("a")); sm.def( "accept_double_forcecast", [](const py::array_t &) {}, py::arg("a")); sm.def( "accept_double_c_style", [](const py::array_t &) {}, py::arg("a")); sm.def( "accept_double_c_style_forcecast", [](const py::array_t &) {}, py::arg("a")); sm.def( "accept_double_f_style", [](const py::array_t &) {}, py::arg("a")); sm.def( "accept_double_f_style_forcecast", [](const py::array_t &) {}, py::arg("a")); sm.def( "accept_double_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); sm.def( "accept_double_forcecast_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); sm.def( "accept_double_c_style_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); sm.def( "accept_double_c_style_forcecast_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); sm.def( "accept_double_f_style_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); sm.def( "accept_double_f_style_forcecast_noconvert", [](const py::array_t &) {}, "a"_a.noconvert()); // Check that types returns correct npy format descriptor sm.def("test_fmt_desc_float", [](const py::array_t &) {}); sm.def("test_fmt_desc_double", [](const py::array_t &) {}); sm.def("test_fmt_desc_const_float", [](const py::array_t &) {}); sm.def("test_fmt_desc_const_double", [](const py::array_t &) {}); sm.def("round_trip_float", [](double d) { return d; }); sm.def("pass_array_pyobject_ptr_return_sum_str_values", [](const py::array_t &objs) { std::string sum_str_values; for (const auto &obj : objs) { sum_str_values += py::str(obj.attr("value")); } return sum_str_values; }); sm.def("pass_array_pyobject_ptr_return_as_list", [](const py::array_t &objs) -> py::list { return objs; }); sm.def("return_array_pyobject_ptr_cpp_loop", [](const py::list &objs) { py::size_t arr_size = py::len(objs); py::array_t arr_from_list(static_cast(arr_size)); PyObject **data = arr_from_list.mutable_data(); for (py::size_t i = 0; i < arr_size; i++) { assert(data[i] == nullptr); data[i] = py::cast(objs[i].attr("value")); } return arr_from_list; }); sm.def("return_array_pyobject_ptr_from_list", [](const py::list &objs) -> py::array_t { return objs; }); }