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PR-URL: #2817 Ref: #2656 Co-authored-by: Athan Reines <[email protected]> Reviewed-by: Athan Reines <[email protected]> Signed-off-by: Muhammad Haris <[email protected]>
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<!-- | ||
@license Apache-2.0 | ||
Copyright (c) 2024 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. | ||
--> | ||
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# fill | ||
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> Fill an input ndarray with a specified value. | ||
<section class="intro"> | ||
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</section> | ||
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<!-- /.intro --> | ||
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<section class="usage"> | ||
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## Usage | ||
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```javascript | ||
var fill = require( '@stdlib/ndarray/base/fill' ); | ||
``` | ||
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#### fill( x, value ) | ||
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Fills an input ndarray with a specified value. | ||
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<!-- eslint-disable max-len --> | ||
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```javascript | ||
var Float64Array = require( '@stdlib/array/float64' ); | ||
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// Create a data buffer: | ||
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
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// Define the shape of the input array: | ||
var shape = [ 3, 1, 2 ]; | ||
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// Define the array strides: | ||
var sx = [ 2, 2, 1 ]; | ||
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// Define the index offset: | ||
var ox = 0; | ||
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// Create the input ndarray-like object: | ||
var x = { | ||
'dtype': 'float64', | ||
'data': xbuf, | ||
'shape': shape, | ||
'strides': sx, | ||
'offset': ox, | ||
'order': 'row-major' | ||
}; | ||
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fill( x, 10.0 ); | ||
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console.log( x.data ); | ||
// => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ] | ||
``` | ||
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The function accepts the following arguments: | ||
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- **x**: array-like object containing an input ndarray. | ||
- **value**: scalar value. | ||
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A provided ndarray should be an object with the following properties: | ||
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- **dtype**: data type. | ||
- **data**: data buffer. | ||
- **shape**: dimensions. | ||
- **strides**: stride lengths. | ||
- **offset**: index offset. | ||
- **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style). | ||
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</section> | ||
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<!-- /.usage --> | ||
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<section class="notes"> | ||
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## Notes | ||
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- If `value` is a number and `x` has a complex [data type][@stdlib/ndarray/dtypes], the function fills an input ndarray with a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero. | ||
- The function **mutates** the input ndarray. | ||
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</section> | ||
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<!-- /.notes --> | ||
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<section class="examples"> | ||
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## Examples | ||
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<!-- eslint no-undef: "error" --> | ||
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```javascript | ||
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; | ||
var filledarrayBy = require( '@stdlib/array/filled-by' ); | ||
var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); | ||
var fill = require( '@stdlib/ndarray/base/fill' ); | ||
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var x = { | ||
'dtype': 'generic', | ||
'data': filledarrayBy( 10, 'generic', discreteUniform( -100, 100 ) ), | ||
'shape': [ 5, 2 ], | ||
'strides': [ 2, 1 ], | ||
'offset': 0, | ||
'order': 'row-major' | ||
}; | ||
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fill( x, 10.0 ); | ||
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) ); | ||
``` | ||
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</section> | ||
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<!-- /.examples --> | ||
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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<section class="related"> | ||
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</section> | ||
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<!-- /.related --> | ||
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<section class="links"> | ||
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[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes | ||
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<!-- <related-links> --> | ||
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<!-- </related-links> --> | ||
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</section> | ||
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<!-- /.links --> |
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lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor.js
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/** | ||
* @license Apache-2.0 | ||
* | ||
* Copyright (c) 2024 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. | ||
*/ | ||
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'use strict'; | ||
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// MODULES // | ||
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var bench = require( '@stdlib/bench' ); | ||
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; | ||
var isnan = require( '@stdlib/math/base/assert/is-nan' ); | ||
var pow = require( '@stdlib/math/base/special/pow' ); | ||
var floor = require( '@stdlib/math/base/special/floor' ); | ||
var filledarrayBy = require( '@stdlib/array/filled-by' ); | ||
var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); | ||
var pkg = require( './../package.json' ).name; | ||
var fill = require( './../lib' ); | ||
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// VARIABLES // | ||
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var types = [ 'float64' ]; | ||
var order = [ 'column-major' ]; | ||
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// FUNCTIONS // | ||
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/** | ||
* Creates a benchmark function. | ||
* | ||
* @private | ||
* @param {PositiveInteger} len - ndarray length | ||
* @param {NonNegativeIntegerArray} shape - ndarray shape | ||
* @param {string} xtype - input ndarray data type | ||
* @returns {Function} benchmark function | ||
*/ | ||
function createBenchmark( len, shape, xtype ) { | ||
var x; | ||
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x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); | ||
x = { | ||
'dtype': xtype, | ||
'data': x, | ||
'shape': shape, | ||
'strides': shape2strides( shape, order ), | ||
'offset': 0, | ||
'order': order | ||
}; | ||
return benchmark; | ||
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/** | ||
* Benchmark function. | ||
* | ||
* @private | ||
* @param {Benchmark} b - benchmark instance | ||
*/ | ||
function benchmark( b ) { | ||
var i; | ||
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b.tic(); | ||
for ( i = 0; i < b.iterations; i++ ) { | ||
fill( x, i ); | ||
if ( isnan( x.data[ i%len ]) ) { | ||
b.fail( 'should not return NaN' ); | ||
} | ||
} | ||
b.toc(); | ||
if ( isnan( x.data[ i%len ]) ) { | ||
b.fail( 'should not return NaN' ); | ||
} | ||
b.pass( 'benchmark finished' ); | ||
b.end(); | ||
} | ||
} | ||
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// MAIN // | ||
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/** | ||
* Main execution sequence. | ||
* | ||
* @private | ||
*/ | ||
function main() { | ||
var len; | ||
var min; | ||
var max; | ||
var sh; | ||
var t1; | ||
var f; | ||
var i; | ||
var j; | ||
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min = 1; // 10^min | ||
max = 6; // 10^max | ||
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for ( j = 0; j < types.length; j++ ) { | ||
t1 = types[ j ]; | ||
for ( i = min; i <= max; i++ ) { | ||
len = pow( 10, i ); | ||
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sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ]; | ||
f = createBenchmark( len, sh, t1 ); | ||
bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); | ||
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sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ]; | ||
f = createBenchmark( len, sh, t1 ); | ||
bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); | ||
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len = floor( pow( len, 1.0/10.0 ) ); | ||
sh = [ len, len, len, len, len, len, len, len, len, len ]; | ||
len *= pow( len, 9 ); | ||
f = createBenchmark( len, sh, t1 ); | ||
bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); | ||
} | ||
} | ||
} | ||
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main(); |
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