summaryrefslogtreecommitdiff
path: root/ext/pybind11/tests/test_numpy_array.cpp
blob: 2046c0e03ec5d016692788b051b364663836009b (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
/*
    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>

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();
}

TEST_SUBMODULE(numpy_array, sm) {
    try { py::module::import("numpy"); }
    catch (...) { return; }

    // 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_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;
    });
}