-
-
Notifications
You must be signed in to change notification settings - Fork 804
/
Copy pathmain.c
144 lines (141 loc) · 4.35 KB
/
main.c
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
/**
* @license Apache-2.0
*
* Copyright (c) 2018 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "stdlib/ndarray/base/ind2sub.h"
#include "stdlib/ndarray/index_modes.h"
#include "stdlib/ndarray/orders.h"
#include <stdint.h>
#include <stdlib.h>
/**
* Converts a linear index to an array of subscripts.
*
* ## Notes
*
* - When provided a stride array containing negative strides, if an `offset` is greater than `0`, the function interprets the linear index as an index into the underlying data buffer for the array, thus returning subscripts from the perspective of that buffer. If an `offset` is equal to `0`, the function treats the linear index as an index into an array view, thus returning subscripts from the perspective of that view. In short, from the perspective of a view, view data is always ordered.
*
* - In "error" mode, the function returns `-1` if an index is out-of-bounds.
*
* @param ndims number of dimensions
* @param shape array shape (dimensions)
* @param strides array strides
* @param offset location of the first indexed value **based** on the stride array
* @param order specifies whether an array is row-major (C-style) or column-major (Fortran-style)
* @param idx linear index in an array view
* @param mode specifies how to handle a linear index which exceeds array dimensions
* @param out output array
* @return status code
*
* @example
* #include "stdlib/ndarray/base/ind2sub.h"
* #include "stdlib/ndarray/index_modes.h"
* #include "stdlib/ndarray/orders.h"
* #include <stdint.h>
*
* int64_t ndims = 2;
* int64_t shape[] = { 3, 3 };
* int64_t strides[] = { -3, 1 };
* int64_t offset = 6;
*
* int64_t out[ 2 ];
*
* int8_t status = stdlib_ndarray_ind2sub( ndims, shape, strides, offset, STDLIB_NDARRAY_ROW_MAJOR, 7, STDLIB_NDARRAY_INDEX_ERROR, out );
* if ( status == -1 ) {
* // Handle error...
* }
*/
int8_t stdlib_ndarray_ind2sub( int64_t ndims, int64_t *shape, int64_t *strides, int64_t offset, enum STDLIB_NDARRAY_ORDER order, int64_t idx, enum STDLIB_NDARRAY_INDEX_MODE mode, int64_t *out ) {
int64_t len;
int64_t s;
int64_t k;
int64_t i;
len = 1;
for ( i = 0; i < ndims; i++ ) {
len *= shape[ i ];
}
if ( mode == STDLIB_NDARRAY_INDEX_CLAMP ) {
if ( idx < 0 ) {
idx = 0;
} else if ( idx >= len ) {
idx = len - 1;
}
} else if ( mode == STDLIB_NDARRAY_INDEX_WRAP ) {
if ( idx < 0 ) {
idx += len; // slight optimization to avoid modulo arithmetic when |idx| <= len
if ( idx < 0 ) {
idx -= len*( (int64_t)( idx/len ) ); // this is equivalent to `idx mod len`, where the result has same sign as dividend (i.e., `idx`); cannot use `%` as the sign of the result is implementation defined in C
if ( idx != 0 ) {
idx += len;
}
}
} else if ( idx >= len ) {
idx -= len; // slight optimization to avoid modulo arithmetic when len < idx <= 2*len
if ( idx >= len ) {
idx %= len;
}
}
} else if ( idx < 0 || idx >= len ) { // mode == 'error'
return -1;
}
if ( offset == 0 ) {
if ( order == STDLIB_NDARRAY_COLUMN_MAJOR ) {
for ( i = 0; i < ndims; i++ ) {
s = idx % shape[ i ];
idx -= s;
idx /= shape[ i ];
out[ i ] = s;
}
return 0;
}
// Case: row-major
for ( i = ndims-1; i >= 0; i-- ) {
s = idx % shape[ i ];
idx -= s;
idx /= shape[ i ];
out[ i ] = s;
}
return 0;
}
if ( order == STDLIB_NDARRAY_COLUMN_MAJOR ) {
for ( i = ndims-1; i >= 0; i-- ) {
s = strides[ i ];
if ( s < 0 ) {
k = idx / s; // truncates
idx -= k * s;
out[ i ] = shape[ i ] - 1 + k;
} else {
k = idx / s; // truncates
idx -= k * s;
out[ i ] = k;
}
}
return 0;
}
// Case: row-major
for ( i = 0; i < ndims; i++ ) {
s = strides[ i ];
if ( s < 0 ) {
k = idx / s; // truncates
idx -= k * s;
out[ i ] = shape[ i ] - 1 + k;
} else {
k = idx / s; // truncates
idx -= k * s;
out[ i ] = k;
}
}
return 0;
}