From 444e535f000fd7b53dadf6726d5cd29ac34cc75f Mon Sep 17 00:00:00 2001
From: Miodrag Milanovic <mmicko@gmail.com>
Date: Thu, 23 Jul 2020 08:58:19 +0200
Subject: Add pybind11 2.5 source

---
 3rdparty/pybind11/tests/test_numpy_array.cpp | 390 +++++++++++++++++++++++++++
 1 file changed, 390 insertions(+)
 create mode 100644 3rdparty/pybind11/tests/test_numpy_array.cpp

(limited to '3rdparty/pybind11/tests/test_numpy_array.cpp')

diff --git a/3rdparty/pybind11/tests/test_numpy_array.cpp b/3rdparty/pybind11/tests/test_numpy_array.cpp
new file mode 100644
index 00000000..156a3bfa
--- /dev/null
+++ b/3rdparty/pybind11/tests/test_numpy_array.cpp
@@ -0,0 +1,390 @@
+/*
+    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_tests.h"
+
+#include <pybind11/numpy.h>
+#include <pybind11/stl.h>
+
+#include <cstdint>
+
+// 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 (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 (ssize_t i = 0; i < a.size() - a.index_at(index...); i++)
+        ptr[i]++;
+    return a;
+}
+
+template<typename... Ix> ssize_t index_at(const arr& a, Ix... idx) { return a.index_at(idx...); }
+template<typename... Ix> ssize_t index_at_t(const arr_t& a, Ix... idx) { return a.index_at(idx...); }
+template<typename... Ix> ssize_t offset_at(const arr& a, Ix... idx) { return a.offset_at(idx...); }
+template<typename... Ix> ssize_t offset_at_t(const arr_t& a, Ix... idx) { return a.offset_at(idx...); }
+template<typename... Ix> 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, 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 <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();
+}
+
+// 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 (...) { 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, 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, 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(); });
+
+    // 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", [](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_<ArrayClass>(sm, "ArrayClass")
+        .def(py::init<>())
+        .def("numpy_view", [](py::object &obj) {
+            py::print("ArrayClass::numpy_view()");
+            ArrayClass &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>(yes) && !py::isinstance<py::array>(no);
+    });
+    sm.def("isinstance_typed", [](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", [](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", [](py::array_t<double>) { return "double"; });
+    sm.def("overloaded", [](py::array_t<float>) { return "float"; });
+    sm.def("overloaded", [](py::array_t<int>) { return "int"; });
+    sm.def("overloaded", [](py::array_t<unsigned short>) { return "unsigned short"; });
+    sm.def("overloaded", [](py::array_t<long long>) { return "long long"; });
+    sm.def("overloaded", [](py::array_t<std::complex<double>>) { return "double complex"; });
+    sm.def("overloaded", [](py::array_t<std::complex<float>>) { return "float complex"; });
+
+    sm.def("overloaded2", [](py::array_t<std::complex<double>>) { return "double complex"; });
+    sm.def("overloaded2", [](py::array_t<double>) { return "double"; });
+    sm.def("overloaded2", [](py::array_t<std::complex<float>>) { return "float complex"; });
+    sm.def("overloaded2", [](py::array_t<float>) { return "float"; });
+
+    // Only accept the exact types:
+    sm.def("overloaded3", [](py::array_t<int>) { return "int"; }, py::arg().noconvert());
+    sm.def("overloaded3", [](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", [](py::array_t<long long, 0>) { return "long long"; });
+    sm.def("overloaded4", [](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", [](py::array_t<unsigned int>) { return "unsigned int"; });
+    sm.def("overloaded5", [](py::array_t<double>) { return "double"; });
+
+    // test_greedy_string_overload
+    // Issue 685: ndarray shouldn't go to std::string overload
+    sm.def("issue685", [](std::string) { return "string"; });
+    sm.def("issue685", [](py::array) { return "array"; });
+    sm.def("issue685", [](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 (ssize_t i = 0; i < r.shape(0); i++)
+            for (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 (ssize_t i = 0; i < r.shape(0); i++)
+        for (ssize_t j = 0; j < r.shape(1); j++)
+        for (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 (ssize_t k = 0; k < r.shape(2); k++)
+        for (ssize_t j = 0; j < r.shape(1); j++)
+        for (ssize_t i = 0; i < r.shape(0); i++)
+            r(i, j, k) = start++;
+        return a;
+    });
+    sm.def("proxy_squared_L2_norm", [](py::array_t<double> a) {
+        auto r = a.unchecked<1>();
+        double sumsq = 0;
+        for (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);
+    });
+
+    // 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 (ssize_t i = 0; i < r.shape(0); i++)
+            for (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 (ssize_t i = 0; i < r.shape(0); i++)
+        for (ssize_t j = 0; j < r.shape(1); j++)
+        for (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, 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 ssize_t dim_sz = (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;
+    });
+
+#if PY_MAJOR_VERSION >= 3
+        sm.def("index_using_ellipsis", [](py::array a) {
+            return a[py::make_tuple(0, py::ellipsis(), 0)];
+        });
+#endif
+}
-- 
cgit v1.2.3