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Original file line number Diff line number Diff line change
@@ -0,0 +1,149 @@
<!--

@license Apache-2.0

Copyright (c) 2026 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.

-->

# gfillGreaterThan

> Replace elements in a one-dimensional ndarray greater than a provided search element with a specified scalar constant.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var gfillGreaterThan = require( '@stdlib/blas/ext/base/ndarray/gfill-greater-than' );
```

#### gfillGreaterThan( arrays )

Replaces elements in a one-dimensional ndarray greater than a provided search element with a specified scalar constant.

```javascript
var vector = require( '@stdlib/ndarray/vector/ctor' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

var x = vector( [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ], 'generic' );

var searchElement = scalar2ndarray( -3.0, {
'dtype': 'generic'
});

var alpha = scalar2ndarray( 5.0, {
'dtype': 'generic'
});

var start = scalar2ndarray( 0, {
'dtype': 'generic'
});

var end = scalar2ndarray( 2, {
'dtype': 'generic'
});

gfillGreaterThan( [ x, searchElement, alpha, start, end ] );
// x => <ndarray>[ 5.0, 5.0, 3.0, 0.0, 4.0, -6.0 ]
```

The function has the following parameters:

- **arrays**: array-like object containing the following ndarrays:

- a one-dimensional input ndarray.
- a zero-dimensional ndarray containing the search element.
- a zero-dimensional ndarray containing the scalar constant.
- a zero-dimensional ndarray containing the starting index (inclusive).
- a zero-dimensional ndarray containing the ending index (exclusive).

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
- If a specified `start` or `end` index is negative, the function resolves the respective index by counting backward from the last element (where `-1` refers to the last element).
- When comparing elements, the function uses the greater-than operator `>`. As a consequence, `NaN` values are never greater than any value, and `-0` and `+0` are considered equal.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
var gfillGreaterThan = require( '@stdlib/blas/ext/base/ndarray/gfill-greater-than' );

var opts = {
'dtype': 'generic'
};

var x = discreteUniform( [ 20 ], 0, 3, opts );
console.log( ndarray2array( x ) );

var searchElement = scalar2ndarray( 1, opts );
console.log( 'Search Element: %d', ndarraylike2scalar( searchElement ) );

var alpha = scalar2ndarray( 5, opts );
console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );

var start = scalar2ndarray( 5, opts );
console.log( 'Start Index: %d', ndarraylike2scalar( start ) );

var end = scalar2ndarray( 15, opts );
console.log( 'End Index: %d', ndarraylike2scalar( end ) );

gfillGreaterThan( [ x, searchElement, alpha, start, end ] );
console.log( ndarray2array( x ) );
```

</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">

</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 uniform = require( '@stdlib/random/array/uniform' );
var vector = require( '@stdlib/ndarray/vector/ctor' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var gfill = require( '@stdlib/blas/ext/base/gfill' );
var pow = require( '@stdlib/math/base/special/pow' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var gfillGreaterThan = require( './../lib' );


// VARIABLES //

var options = {
'dtype': 'generic'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - ndarray length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var searchElement;
var alpha;
var start;
var xbuf;
var end;
var x;

xbuf = uniform( len, -100.0, 0.0, options );
gfill( len, 1.0, xbuf, 3 );
x = vector( xbuf, options.dtype );
searchElement = [
scalar2ndarray( 0.0, options ),
scalar2ndarray( 1.0, options )
];
alpha = [
scalar2ndarray( 2.0, options ),
scalar2ndarray( 1.0, options )
];
start = scalar2ndarray( 0, options );
end = scalar2ndarray( len, options );
return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = gfillGreaterThan( [ x, searchElement[ i%2 ], alpha[ i%2 ], start, end ] ); // eslint-disable-line max-len
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
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( format( '%s:len=%d', pkg, len ), f );
}
}

main();
Original file line number Diff line number Diff line change
@@ -0,0 +1,46 @@

{{alias}}( arrays )
Replaces elements in a one-dimensional ndarray greater than a provided
search element with a specified scalar constant.

The input ndarray is modified *in-place* (i.e., the input ndarray is
*mutated*).

If a specified `start` or `end` index is negative, the function resolves
the respective index by counting backward from the last element (where `-1`
refers to the last element).

When comparing elements, the function uses the greater-than operator `>`.
As a consequence, `NaN` values are never greater than any value, and `-0`
and `+0` are considered equal.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing the following ndarrays:

- a one-dimensional input ndarray.
- a zero-dimensional ndarray containing the search element.
- a zero-dimensional ndarray containing the scalar constant.
- a zero-dimensional ndarray containing the starting index (inclusive).
- a zero-dimensional ndarray containing the ending index (exclusive).

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

Examples
--------
> var buf = [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ];
> var x = {{alias:@stdlib/ndarray/vector/ctor}}( buf, 'generic' );
> var opts = { 'dtype': 'generic' };
> var v = {{alias:@stdlib/ndarray/from-scalar}}( -3.0, opts );
> var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, opts );
> var st = {{alias:@stdlib/ndarray/from-scalar}}( 0, opts );
> var en = {{alias:@stdlib/ndarray/from-scalar}}( 2, opts );
> {{alias}}( [ x, v, alpha, st, en ] )
<ndarray>[ 5.0, 5.0, 3.0, 0.0, 4.0, -6.0 ]

See Also
--------
Original file line number Diff line number Diff line change
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/*
* @license Apache-2.0
*
* Copyright (c) 2026 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 { typedndarray } from '@stdlib/types/ndarray';

/**
* Replaces elements in a one-dimensional ndarray greater than a provided search element with a specified scalar constant.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray containing the search element.
* - a zero-dimensional ndarray containing the scalar constant.
* - a zero-dimensional ndarray containing the starting index (inclusive).
* - a zero-dimensional ndarray containing the ending index (exclusive).
*
* - When comparing elements, the function uses the greater-than operator `>`. As a consequence, `NaN` values are never greater than any value, and `-0` and `+0` are considered equal.
*
* @param arrays - array-like object containing ndarrays
* @returns input ndarray
*
* @example
* var vector = require( '@stdlib/ndarray/vector/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = vector( [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ], 'generic' );
*
* var searchElement = scalar2ndarray( -3.0, {
* 'dtype': 'generic'
* });
*
* var alpha = scalar2ndarray( 5.0, {
* 'dtype': 'generic'
* });
*
* var start = scalar2ndarray( 0, {
* 'dtype': 'generic'
* });
*
* var end = scalar2ndarray( 2, {
* 'dtype': 'generic'
* });
*
* var out = gfillGreaterThan( [ x, searchElement, alpha, start, end ] );
* // returns <ndarray>[ 5.0, 5.0, 3.0, 0.0, 4.0, -6.0 ]
*/
declare function gfillGreaterThan<T extends typedndarray<unknown> = typedndarray<unknown>>( arrays: [ T, typedndarray<unknown>, typedndarray<unknown>, typedndarray<number>, typedndarray<number> ] ): T;


// EXPORTS //

export = gfillGreaterThan;
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