time-to-botec

Benchmark sampling in different programming languages
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      1 <!--
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      3 @license Apache-2.0
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      5 Copyright (c) 2020 The Stdlib Authors.
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      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
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     11    http://www.apache.org/licenses/LICENSE-2.0
     12 
     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
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     19 -->
     20 
     21 # dmap
     22 
     23 > Apply a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array and assign each result to an element in a double-precision floating-point strided output array.
     24 
     25 <section class="intro">
     26 
     27 </section>
     28 
     29 <!-- /.intro -->
     30 
     31 <section class="usage">
     32 
     33 ## Usage
     34 
     35 ```javascript
     36 var dmap = require( '@stdlib/strided/base/dmap' );
     37 ```
     38 
     39 #### dmap( N, x, strideX, y, strideY, fcn )
     40 
     41 Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array and assigns each result to an element in a double-precision floating-point strided output array.
     42 
     43 ```javascript
     44 var Float64Array = require( '@stdlib/array/float64' );
     45 var abs = require( '@stdlib/math/base/special/abs' );
     46 
     47 var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
     48 
     49 // Compute the absolute values in-place:
     50 dmap( x.length, x, 1, x, 1, abs );
     51 // x => <Float64Array>[ 2.0, 1.0, 3.0, 5.0, 4.0, 0.0, 1.0, 3.0 ]
     52 ```
     53 
     54 The function accepts the following arguments:
     55 
     56 -   **N**: number of indexed elements.
     57 -   **x**: input [`Float64Array`][@stdlib/array/float64].
     58 -   **strideX**: index increment for `x`.
     59 -   **y**: output [`Float64Array`][@stdlib/array/float64].
     60 -   **strideY**: index increment for `y`.
     61 -   **fcn**: function to apply.
     62 
     63 The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to index every other value in `x` and to index the first `N` elements of `y` in reverse order,
     64 
     65 ```javascript
     66 var Float64Array = require( '@stdlib/array/float64' );
     67 var floor = require( '@stdlib/math/base/special/floor' );
     68 var abs = require( '@stdlib/math/base/special/abs' );
     69 
     70 var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
     71 var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
     72 
     73 var N = floor( x.length / 2 );
     74 
     75 dmap( N, x, 2, y, -1, abs );
     76 // y => <Float64Array>[ 5.0, 3.0, 1.0, 0.0, 0.0, 0.0 ]
     77 ```
     78 
     79 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views.
     80 
     81 ```javascript
     82 var Float64Array = require( '@stdlib/array/float64' );
     83 var floor = require( '@stdlib/math/base/special/floor' );
     84 var abs = require( '@stdlib/math/base/special/abs' );
     85 
     86 // Initial arrays...
     87 var x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
     88 var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
     89 
     90 // Create offset views...
     91 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     92 var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
     93 
     94 var N = floor( x0.length / 2 );
     95 
     96 dmap( N, x1, -2, y1, 1, abs );
     97 // y0 => <Float64Array>[ 0.0, 0.0, 0.0, 6.0, 4.0, 2.0 ]
     98 ```
     99 
    100 #### dmap.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, fcn )
    101 
    102 Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array and assigns each result to an element in a double-precision floating-point strided output array using alternative indexing semantics.
    103 
    104 ```javascript
    105 var Float64Array = require( '@stdlib/array/float64' );
    106 var abs = require( '@stdlib/math/base/special/abs' );
    107 
    108 var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] );
    109 var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
    110 
    111 dmap.ndarray( x.length, x, 1, 0, y, 1, 0, abs );
    112 // y => <Float64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
    113 ```
    114 
    115 The function accepts the following additional arguments:
    116 
    117 -   **offsetX**: starting index for `x`.
    118 -   **offsetY**: starting index for `y`.
    119 
    120 While [`typed array`][@stdlib/array/float64] views mandate a view offset based on the underlying `buffer`, the `offsetX` and `offsetY` parameters support indexing semantics based on starting indices. For example, to index every other value in `x` starting from the second value and to index the last `N` elements in `y`,
    121 
    122 ```javascript
    123 var Float64Array = require( '@stdlib/array/float64' );
    124 var floor = require( '@stdlib/math/base/special/floor' );
    125 var abs = require( '@stdlib/math/base/special/abs' );
    126 
    127 var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
    128 var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
    129 
    130 var N = floor( x.length / 2 );
    131 
    132 dmap.ndarray( N, x, 2, 1, y, -1, y.length-1, abs );
    133 // y => <Float64Array>[ 0.0, 0.0, 0.0, 6.0, 4.0, 2.0 ]
    134 ```
    135 
    136 </section>
    137 
    138 <!-- /.usage -->
    139 
    140 <section class="notes">
    141 
    142 </section>
    143 
    144 <!-- /.notes -->
    145 
    146 <section class="examples">
    147 
    148 ## Examples
    149 
    150 <!-- eslint no-undef: "error" -->
    151 
    152 ```javascript
    153 var round = require( '@stdlib/math/base/special/round' );
    154 var randu = require( '@stdlib/random/base/randu' );
    155 var Float64Array = require( '@stdlib/array/float64' );
    156 var dmap = require( '@stdlib/strided/base/dmap' );
    157 
    158 function scale( x ) {
    159     return x * 10.0;
    160 }
    161 
    162 var x = new Float64Array( 10 );
    163 var y = new Float64Array( 10 );
    164 
    165 var i;
    166 for ( i = 0; i < x.length; i++ ) {
    167     x[ i ] = round( (randu()*200.0) - 100.0 );
    168 }
    169 console.log( x );
    170 console.log( y );
    171 
    172 dmap.ndarray( x.length, x, 1, 0, y, -1, y.length-1, scale );
    173 console.log( y );
    174 ```
    175 
    176 </section>
    177 
    178 <!-- /.examples -->
    179 
    180 <!-- C interface documentation. -->
    181 
    182 * * *
    183 
    184 <section class="c">
    185 
    186 ## C APIs
    187 
    188 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
    189 
    190 <section class="intro">
    191 
    192 </section>
    193 
    194 <!-- /.intro -->
    195 
    196 <!-- C usage documentation. -->
    197 
    198 <section class="usage">
    199 
    200 ### Usage
    201 
    202 ```c
    203 #include "stdlib/strided/base/dmap.h"
    204 ```
    205 
    206 #### stdlib_strided_dmap( N, \*X, strideX, \*Y, strideY, fcn )
    207 
    208 Applies a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array and assigns each result to an element in a double-precision floating-point strided output array.
    209 
    210 ```c
    211 #include <stdint.h>
    212 
    213 static double scale( const double x ) {
    214     return x * 10.0;
    215 }
    216 
    217 double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
    218 double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
    219 
    220 int64_t N = 6;
    221 
    222 stdlib_strided_dmap( N, X, 1, Y, 1, scale );
    223 ```
    224 
    225 The function accepts the following arguments:
    226 
    227 -   **N**: `[in] int64_t` number of indexed elements.
    228 -   **X**: `[in] double*` input array.
    229 -   **strideX** `[in] int64_t` index increment for `X`.
    230 -   **Y**: `[out] double*` output array.
    231 -   **strideY**: `[in] int64_t` index increment for `Y`.
    232 -   **fcn**: `[in] double (*fcn)( double )` unary function to apply.
    233 
    234 ```c
    235 void stdlib_strided_dmap( const int64_t N, const double *X, const int64_t strideX, double *Y, const int64_t strideY, double (*fcn)( double ) );
    236 ```
    237 
    238 </section>
    239 
    240 <!-- /.usage -->
    241 
    242 <!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
    243 
    244 <section class="notes">
    245 
    246 </section>
    247 
    248 <!-- /.notes -->
    249 
    250 <!-- C API usage examples. -->
    251 
    252 <section class="examples">
    253 
    254 ### Examples
    255 
    256 ```c
    257 #include "stdlib/strided/base/dmap.h"
    258 #include <stdint.h>
    259 #include <stdio.h>
    260 #include <inttypes.h>
    261 
    262 // Define a callback:
    263 static double scale( const double x ) {
    264     return x * 10.0;
    265 }
    266 
    267 int main() {
    268     // Create an input strided array:
    269     double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
    270 
    271     // Create an output strided array:
    272     double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
    273 
    274     // Specify the number of elements:
    275     int64_t N = 6;
    276 
    277     // Define the strides:
    278     int64_t strideX = 1;
    279     int64_t strideY = -1;
    280 
    281     // Apply the callback:
    282     stdlib_strided_dmap( N, X, strideX, Y, strideY, scale );
    283 
    284     // Print the results:
    285     for ( int64_t i = 0; i < N; i++ ) {
    286         printf( "Y[ %"PRId64" ] = %lf\n", i, Y[ i ] );
    287     }
    288 }
    289 ```
    290 
    291 </section>
    292 
    293 <!-- /.examples -->
    294 
    295 </section>
    296 
    297 <!-- /.c -->
    298 
    299 <section class="links">
    300 
    301 [@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
    302 
    303 </section>
    304 
    305 <!-- /.links -->