forked from xtensor-stack/xtensor-python
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpybuffer_adaptor.hpp
More file actions
460 lines (361 loc) · 12.2 KB
/
pybuffer_adaptor.hpp
File metadata and controls
460 lines (361 loc) · 12.2 KB
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
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
/***************************************************************************
* Copyright (c) 2016, Johan Mabille and Sylvain Corlay *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#ifndef PYBUFFER_ADAPTOR_HPP
#define PYBUFFER_ADAPTOR_HPP
#include <cstddef>
#include <iterator>
#include <algorithm>
namespace xt
{
template <class T>
class pybuffer_adaptor
{
public:
using value_type = T;
using reference = T&;
using const_reference = const T&;
using pointer = T*;
using const_pointer = const T*;
using size_type = std::size_t;
using difference_type = std::ptrdiff_t;
using iterator = pointer;
using const_iterator = const_pointer;
using reverse_iterator = std::reverse_iterator<iterator>;
using const_reverse_iterator = std::reverse_iterator<const_iterator>;
pybuffer_adaptor() = default;
pybuffer_adaptor(pointer data, size_type size);
bool empty() const noexcept;
size_type size() const noexcept;
reference operator[](size_type i);
const_reference operator[](size_type i) const;
reference front();
const_reference front() const;
reference back();
const_reference back() const;
iterator begin();
iterator end();
const_iterator begin() const;
const_iterator end() const;
const_iterator cbegin() const;
const_iterator cend() const;
reverse_iterator rbegin();
reverse_iterator rend();
const_reverse_iterator rbegin() const;
const_reverse_iterator rend() const;
const_reverse_iterator crbegin() const;
const_reverse_iterator crend() const;
private:
pointer p_data;
size_type m_size;
};
template<class T>
bool operator==(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template<class T>
bool operator<(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template<class T>
bool operator!=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template<class T>
bool operator>(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template<class T>
bool operator<=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template<class T>
bool operator>=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);
template <std::size_t N>
class pystrides_iterator;
template <std::size_t N>
class pystrides_adaptor
{
public:
using value_type = std::size_t;
using const_reference = value_type;
using const_pointer = const value_type*;
using size_type = std::size_t;
using difference_type = std::ptrdiff_t;
using const_iterator = pystrides_iterator<N>;
pystrides_adaptor() = default;
pystrides_adaptor(const_pointer data, size_type size);
bool empty() const noexcept;
size_type size() const noexcept;
const_reference operator[](size_type i) const;
const_reference front() const;
const_reference back() const;
const_iterator begin() const;
const_iterator end() const;
const_iterator cbegin() const;
const_iterator cend() const;
private:
const_pointer p_data;
size_type m_size;
};
/***********************************
* pybuffer_adaptor implementation *
***********************************/
template <class T>
inline pybuffer_adaptor<T>::pybuffer_adaptor(pointer data, size_type size)
: p_data(data), m_size(size)
{
}
template <class T>
inline bool pybuffer_adaptor<T>::empty() const noexcept
{
return m_size == 0;
}
template <class T>
inline auto pybuffer_adaptor<T>::size() const noexcept -> size_type
{
return m_size;
}
template <class T>
inline auto pybuffer_adaptor<T>::operator[](size_type i) -> reference
{
return p_data[i];
}
template <class T>
inline auto pybuffer_adaptor<T>::operator[](size_type i) const -> const_reference
{
return p_data[i];
}
template <class T>
inline auto pybuffer_adaptor<T>::front() -> reference
{
return p_data[0];
}
template <class T>
inline auto pybuffer_adaptor<T>::front() const -> const_reference
{
return p_data[0];
}
template <class T>
inline auto pybuffer_adaptor<T>::back() -> reference
{
return p_data[m_size - 1];
}
template <class T>
inline auto pybuffer_adaptor<T>::back() const -> const_reference
{
return p_data[m_size - 1];
}
template <class T>
inline auto pybuffer_adaptor<T>::begin() -> iterator
{
return p_data;
}
template <class T>
inline auto pybuffer_adaptor<T>::end() -> iterator
{
return p_data + m_size;
}
template <class T>
inline auto pybuffer_adaptor<T>::begin() const -> const_iterator
{
return const_iterator(p_data);
}
template <class T>
inline auto pybuffer_adaptor<T>::end() const -> const_iterator
{
return const_iterator(p_data + m_size);
}
template <class T>
inline auto pybuffer_adaptor<T>::cbegin() const -> const_iterator
{
return begin();
}
template <class T>
inline auto pybuffer_adaptor<T>::cend() const -> const_iterator
{
return end();
}
template <class T>
inline auto pybuffer_adaptor<T>::rbegin() -> reverse_iterator
{
return reverse_iterator(end());
}
template <class T>
inline auto pybuffer_adaptor<T>::rend() -> reverse_iterator
{
return reverse_iterator(begin());
}
template <class T>
inline auto pybuffer_adaptor<T>::rbegin() const -> const_reverse_iterator
{
return const_reverse_iterator(end());
}
template <class T>
inline auto pybuffer_adaptor<T>::rend() const -> const_reverse_iterator
{
return const_reverse_iterator(begin());
}
template <class T>
inline auto pybuffer_adaptor<T>::crbegin() const -> const_reverse_iterator
{
return rbegin();
}
template <class T>
inline auto pybuffer_adaptor<T>::crend() const -> const_reverse_iterator
{
return rend();
}
template<class T>
inline bool operator==(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return (x.size() == y.size() && std::equal(x.begin(), x.end(), y.begin()));
}
template<class T>
inline bool operator<(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return std::lexicographical_compare(x.begin(), x.end(), y.begin(), y.end());
}
template<class T>
inline bool operator!=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return !(x == y);
}
template<class T>
inline bool operator>(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return y < x;
}
template<class T>
inline bool operator<=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return !(y < x);
}
template<class T>
inline bool operator>=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)
{
return !(x < y);
}
/*************************************
* pystrides_iterator implementation *
*************************************/
template <std::size_t N>
class pystrides_iterator
{
public:
using self_type = pystrides_iterator<N>;
using value_type = typename pystrides_adaptor<N>::value_type;
using pointer = typename pystrides_adaptor<N>::const_pointer;
using reference = typename pystrides_adaptor<N>::const_reference;
using difference_type = typename pystrides_adaptor<N>::difference_type;
using iterator_category = std::random_access_iterator_tag;
inline pystrides_iterator(pointer current)
: p_current(current)
{
}
inline reference operator*() const { return *p_current / N; }
inline pointer operator->() const { return p_current; }
inline reference operator[](difference_type n) { return *(p_current + n) / N; }
inline self_type& operator++() { ++p_current; return *this; }
inline self_type& operator--() { --p_current; return *this; }
inline self_type operator++(int) { self_type tmp(*this); ++p_current; return tmp; }
inline self_type operator--(int) { self_type tmp(*this); --p_current; return tmp; }
inline self_type& operator+=(difference_type n) { p_current += n; return *this; }
inline self_type& operator-=(difference_type n) { p_current -= n; return *this; }
inline self_type operator+(difference_type n) const { return self_type(p_current + n); }
inline self_type operator-(difference_type n) const { return self_type(p_current - n); }
inline self_type operator-(const self_type& rhs) const
{
self_type tmp(*this);
tmp -= (p_current - rhs.p_current);
return tmp;
}
pointer get_pointer() const { return p_current; }
private:
pointer p_current;
};
template <std::size_t N>
inline bool operator==(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return lhs.get_pointer() == rhs.get_pointer();
}
template <std::size_t N>
inline bool operator!=(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return !(lhs == rhs);
}
template <std::size_t N>
inline bool operator<(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return lhs.get_pointer() < rhs.get_pointer();
}
template <std::size_t N>
inline bool operator<=(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return (lhs < rhs) || (lhs == rhs);
}
template <std::size_t N>
inline bool operator>(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return !(lhs <= rhs);
}
template <std::size_t N>
inline bool operator>=(const pystrides_iterator<N>& lhs,
const pystrides_iterator<N>& rhs)
{
return !(lhs < rhs);
}
/************************************
* pystrides_adaptor implementation *
************************************/
template <std::size_t N>
inline pystrides_adaptor<N>::pystrides_adaptor(const_pointer data, size_type size)
: p_data(data), m_size(size)
{
}
template <std::size_t N>
inline bool pystrides_adaptor<N>::empty() const noexcept
{
return m_size == 0;
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::size() const noexcept -> size_type
{
return m_size;
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::operator[](size_type i) const -> const_reference
{
return p_data[i] / N;
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::front() const -> const_reference
{
return p_data[0] / N;
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::back() const -> const_reference
{
return p_data[m_size - 1] / N;
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::begin() const -> const_iterator
{
return const_iterator(p_data);
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::end() const -> const_iterator
{
return const_iterator(p_data + m_size);
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::cbegin() const -> const_iterator
{
return begin();
}
template <std::size_t N>
inline auto pystrides_adaptor<N>::cend() const -> const_iterator
{
return end();
}
}
#endif