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125 changes: 125 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/gapx/README.md
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<!--

@license Apache-2.0

Copyright (c) 2025 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.

-->

# gapx

> Add a scalar constant to each element in an ndarray.

<section class="usage">

## Usage

```javascript
var gapx = require( '@stdlib/blas/ext/base/ndarray/gapx' );
```

#### gapx( x, alpha )

Adds a scalar constant to each element in an ndarray.

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

var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var out = gapx( x, 5.0 );
// returns <ndarray>[ 6.0, 7.0, 8.0, 9.0 ]
```

The function has the following parameters:

- **x**: input ndarray.
- **alpha**: scalar constant.

Note that indexing is relative to the first index. To introduce an offset, use [`ndarray`][@stdlib/ndarray/ctor] view creation.

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

// Initial array:
var xbuf = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];

// Create an ndarray view:
var x = new ndarray( 'generic', xbuf, [ 3 ], [ 1 ], 2, 'row-major' );

var out = gapx( x, 5.0 );
// returns <ndarray>[ 8.0, 9.0, 10.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The function **mutates** the input ndarray.
- The function supports generic arrays and typed arrays.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var gapx = require( '@stdlib/blas/ext/base/ndarray/gapx' );

var xbuf = discreteUniform( 10, 0, 100, {
'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );

console.log( x.data );

gapx( x, 5.0 );

console.log( x.data );
```

</section>

<!-- /.examples -->

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

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray-ctor

</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2025 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/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var pkg = require( './../package.json' ).name;
var gapx = require( './../lib' );


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x;

x = new ndarray( 'generic', discreteUniform( len, -100, 100, {
'dtype': 'generic'
}), [ len ], [ 1 ], 0, 'row-major' );

return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
z = gapx( x, 5.0 );
if ( isnan( z.data[ i % len ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( z.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 f;
var i;

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

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( pkg+':len='+len, f );

Check warning on line 97 in lib/node_modules/@stdlib/blas/ext/base/ndarray/gapx/benchmark/benchmark.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files

Use `@stdlib/string/format` instead of string concatenation for benchmark descriptions
}
}

main();
26 changes: 26 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/gapx/docs/repl.txt
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{{alias}}( x, alpha )
Adds a scalar constant to each element in an ndarray.

Parameters
----------
x: ndarray
Input ndarray.

alpha: number
Scalar constant.

Returns
-------
out: ndarray
Input ndarray.

Examples
--------
> var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
> var x = {{alias:@stdlib/ndarray/ctor}}( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
> {{alias}}( x, 5.0 )
<ndarray>[ 6.0, 7.0, 8.0, 9.0 ]

See Also
--------

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/*
* @license Apache-2.0
*
* Copyright (c) 2025 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.
*/

// TypeScript Version: 4.1

/// <reference types="@stdlib/types"/>

import { ndarray } from '@stdlib/types/ndarray';

/**
* Adds a scalar constant to each element in an ndarray.
*
* @param x - input ndarray
* @param alpha - scalar constant
* @returns input ndarray
*
* @example
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
*
* var out = gapx( x, 5.0 );
* // returns <ndarray>[ 6.0, 7.0, 8.0, 9.0 ]
*/
declare function gapx( x: ndarray, alpha: number ): ndarray;


// EXPORTS //

export = gapx;
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/*
* @license Apache-2.0
*
* Copyright (c) 2025 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.
*/

import gapx = require( './index' );


// TESTS //

// The function returns an ndarray...
{
const x: any = null;
gapx( x, 5.0 ); // $ExpectType ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an ndarray...
{
gapx( 123, 5.0 ); // $ExpectError
gapx( true, 5.0 ); // $ExpectError
gapx( false, 5.0 ); // $ExpectError
gapx( null, 5.0 ); // $ExpectError
gapx( undefined, 5.0 ); // $ExpectError
gapx( '5', 5.0 ); // $ExpectError
gapx( [ '1', '2' ], 5.0 ); // $ExpectError
gapx( {}, 5.0 ); // $ExpectError
gapx( ( x: number ): number => x, 5.0 ); // $ExpectError
}

// The compiler throws an error if the function is provided a second argument which is not a number...
{
const x: any = null;
gapx( x, '5' ); // $ExpectError
gapx( x, true ); // $ExpectError
gapx( x, false ); // $ExpectError
gapx( x, null ); // $ExpectError
gapx( x, undefined ); // $ExpectError
gapx( x, [ '1' ] ); // $ExpectError
gapx( x, {} ); // $ExpectError
gapx( x, ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x: any = null;
gapx(); // $ExpectError
gapx( x ); // $ExpectError
gapx( x, 5.0, 10 ); // $ExpectError
}
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/**
* @license Apache-2.0
*
* Copyright (c) 2025 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';

var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var gapx = require( './../lib' );

var xbuf = discreteUniform( 10, 0, 100, {
'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );

console.log( x.data );

gapx( x, 5.0 );

console.log( x.data );
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