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
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     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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     20 
     21 # nanmskmax
     22 
     23 > Calculate the maximum value of a strided array according to a mask, ignoring `NaN` values.
     24 
     25 <section class="intro">
     26 
     27 </section>
     28 
     29 <!-- /.intro -->
     30 
     31 <section class="usage">
     32 
     33 ## Usage
     34 
     35 ```javascript
     36 var nanmskmax = require( '@stdlib/stats/base/nanmskmax' );
     37 ```
     38 
     39 #### nanmskmax( N, x, strideX, mask, strideMask )
     40 
     41 Computes the maximum value of a strided array `x` according to a `mask`, ignoring `NaN` values.
     42 
     43 ```javascript
     44 var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];
     45 var mask = [ 0, 0, 1, 0, 0 ];
     46 
     47 var v = nanmskmax( x.length, x, 1, mask, 1 );
     48 // returns 2.0
     49 ```
     50 
     51 The function has the following parameters:
     52 
     53 -   **N**: number of indexed elements.
     54 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
     55 -   **strideX**: index increment for `x`.
     56 -   **mask**: mask [`Array`][mdn-array] or [`typed array`][mdn-typed-array]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
     57 -   **strideMask**: index increment for `mask`.
     58 
     59 The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the maximum value of every other element in `x`,
     60 
     61 ```javascript
     62 var floor = require( '@stdlib/math/base/special/floor' );
     63 
     64 var x = [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, 5.0, 6.0 ];
     65 var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
     66 var N = floor( x.length / 2 );
     67 
     68 var v = nanmskmax( N, x, 2, mask, 2 );
     69 // returns 4.0
     70 ```
     71 
     72 Note that indexing is relative to the first index. To introduce offsets, use [`typed array`][mdn-typed-array] views.
     73 
     74 <!-- eslint-disable stdlib/capitalized-comments -->
     75 
     76 ```javascript
     77 var Float64Array = require( '@stdlib/array/float64' );
     78 var Uint8Array = require( '@stdlib/array/uint8' );
     79 var floor = require( '@stdlib/math/base/special/floor' );
     80 
     81 var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] );
     82 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     83 
     84 var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
     85 var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     86 
     87 var N = floor( x0.length / 2 );
     88 
     89 var v = nanmskmax( N, x1, 2, mask1, 2 );
     90 // returns 4.0
     91 ```
     92 
     93 #### nanmskmax.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )
     94 
     95 Computes the maximum value of a strided array according to a `mask`, ignoring `NaN` values and using alternative indexing semantics.
     96 
     97 ```javascript
     98 var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];
     99 var mask = [ 0, 0, 1, 0, 0 ];
    100 
    101 var v = nanmskmax.ndarray( x.length, x, 1, 0, mask, 1, 0 );
    102 // returns 2.0
    103 ```
    104 
    105 The function has the following additional parameters:
    106 
    107 -   **offsetX**: starting index for `x`.
    108 -   **offsetMask**: starting index for `mask`.
    109 
    110 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the maximum value for every other value in `x` starting from the second value
    111 
    112 ```javascript
    113 var floor = require( '@stdlib/math/base/special/floor' );
    114 
    115 var x = [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ];
    116 var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
    117 var N = floor( x.length / 2 );
    118 
    119 var v = nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 );
    120 // returns 4.0
    121 ```
    122 
    123 </section>
    124 
    125 <!-- /.usage -->
    126 
    127 <section class="notes">
    128 
    129 ## Notes
    130 
    131 -   If `N <= 0`, both functions return `NaN`.
    132 -   Depending on the environment, the typed versions ([`dnanmskmax`][@stdlib/stats/base/dnanmskmax], [`snanmskmax`][@stdlib/stats/base/snanmskmax], etc.) are likely to be significantly more performant.
    133 
    134 </section>
    135 
    136 <!-- /.notes -->
    137 
    138 <section class="examples">
    139 
    140 ## Examples
    141 
    142 <!-- eslint no-undef: "error" -->
    143 
    144 ```javascript
    145 var randu = require( '@stdlib/random/base/randu' );
    146 var round = require( '@stdlib/math/base/special/round' );
    147 var Float64Array = require( '@stdlib/array/float64' );
    148 var Uint8Array = require( '@stdlib/array/uint8' );
    149 var nanmskmax = require( '@stdlib/stats/base/nanmskmax' );
    150 
    151 var mask;
    152 var x;
    153 var i;
    154 
    155 x = new Float64Array( 10 );
    156 mask = new Uint8Array( x.length );
    157 for ( i = 0; i < x.length; i++ ) {
    158     if ( randu() < 0.2 ) {
    159         mask[ i ] = 1;
    160     } else {
    161         mask[ i ] = 0;
    162     }
    163     if ( randu() < 0.1 ) {
    164         x[ i ] = NaN;
    165     } else {
    166         x[ i ] = round( (randu()*100.0) - 50.0 );
    167     }
    168 }
    169 console.log( x );
    170 console.log( mask );
    171 
    172 var v = nanmskmax( x.length, x, 1, mask, 1 );
    173 console.log( v );
    174 ```
    175 
    176 </section>
    177 
    178 <!-- /.examples -->
    179 
    180 <section class="links">
    181 
    182 [mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
    183 
    184 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
    185 
    186 [@stdlib/stats/base/dnanmskmax]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dnanmskmax
    187 
    188 [@stdlib/stats/base/snanmskmax]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/snanmskmax
    189 
    190 </section>
    191 
    192 <!-- /.links -->