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feat: add ndarray/base/fill
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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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headlessNode and kgryte authored Sep 7, 2024
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152 changes: 152 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/fill/README.md
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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.
-->

# fill

> Fill an input ndarray with a specified value.
<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var fill = require( '@stdlib/ndarray/base/fill' );
```

#### fill( x, value )

Fills an input ndarray with a specified value.

<!-- eslint-disable max-len -->

```javascript
var Float64Array = require( '@stdlib/array/float64' );

// Create a data buffer:
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );

// Define the shape of the input array:
var shape = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 2, 2, 1 ];

// Define the index offset:
var ox = 0;

// Create the input ndarray-like object:
var x = {
'dtype': 'float64',
'data': xbuf,
'shape': shape,
'strides': sx,
'offset': ox,
'order': 'row-major'
};

fill( x, 10.0 );

console.log( x.data );
// => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]
```

The function accepts the following arguments:

- **x**: array-like object containing an input ndarray.
- **value**: scalar value.

A provided ndarray should be an object with the following properties:

- **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).

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- 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.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```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' );

var x = {
'dtype': 'generic',
'data': filledarrayBy( 10, 'generic', discreteUniform( -100, 100 ) ),
'shape': [ 5, 2 ],
'strides': [ 2, 1 ],
'offset': 0,
'order': 'row-major'
};

fill( x, 10.0 );
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<section class="links">

[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes

<!-- <related-links> -->

<!-- </related-links> -->

</section>

<!-- /.links -->
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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.
*/

'use strict';

// MODULES //

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' );


// VARIABLES //

var types = [ 'float64' ];
var order = [ 'column-major' ];


// FUNCTIONS //

/**
* 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;

x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
x = {
'dtype': xtype,
'data': x,
'shape': shape,
'strides': shape2strides( shape, order ),
'offset': 0,
'order': order
};
return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var i;

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();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
var len;
var min;
var max;
var sh;
var t1;
var f;
var i;
var j;

min = 1; // 10^min
max = 6; // 10^max

for ( j = 0; j < types.length; j++ ) {
t1 = types[ j ];
for ( i = min; i <= max; i++ ) {
len = pow( 10, i );

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 );

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 );

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 );
}
}
}

main();
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Coverage Report

Package Statements Branches Functions Lines
ndarray/base/fill $\color{green}153/153$
$\color{green}+100.00\%$
$\color{green}3/3$
$\color{green}+100.00\%$
$\color{green}1/1$
$\color{green}+100.00\%$
$\color{green}153/153$
$\color{green}+100.00\%$

The above coverage report was generated for the changes in this push.

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