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112 changes: 112 additions & 0 deletions lib/node_modules/@stdlib/stats/base/ndarray/mode/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.

-->

# mode

> Compute the mode of a one-dimensional double-precision floating-point ndarray.
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This description isn't correct if the package name is stats/base/ndarray/mode. You need to spend some time understanding package prefix naming conventions.


<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

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

#### mode( arrays )

Computes the mode of a one-dimensional double-precision floating-point ndarray.

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

var xbuf = new Float64Array( [ 1.0, 2.0, 4.0, 2.0 ] );
var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = mode( [ x ] );
// returns 2.0
```

The function has the following parameters:

- **arrays**: array-like object containing a one-dimensional input ndarray.

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- If provided an empty one-dimensional ndarray, the function returns `NaN`.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var mode = require( '@stdlib/stats/base/ndarray/mode' );

var xbuf = discreteUniform( 10, -50, 50, {
'dtype': 'float64'
});
var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = mode( [ x ] );
console.log( v );
```

</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) 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 uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var pkg = require( './../package.json' ).name;
var mode = require( './../lib' ); // renamed
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Please don't leave these sort of AI comments in the codebase. You are just increasing maintainer overhead in having to clean this cruft up.



// VARIABLES //

var options = {
'dtype': 'float64'
};


// FUNCTIONS //

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

xbuf = uniform( len, -10.0, 10.0, options );
x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );

return benchmark;
/**
* Benchmark function for measuring performance of the `mode` implementation.
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This is an obvious formatting mistake. If you cannot be bothered to go line-by-line reading and cleaning up AI generated code, please don't expect maintainers to bother either. Ditto for the comment at L69.

*
* @private
* @param {Object} b - Benchmark instance
* @returns {void}
*/
function benchmark( b ) {
var v;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = mode( [ x ] ); // renamed usage
if ( isnan( v ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( v ) ) {
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 );
}
}

// If the script is run directly, execute main:
if ( require.main === module ) {
main();
}
30 changes: 30 additions & 0 deletions lib/node_modules/@stdlib/stats/base/ndarray/mode/docs/repl.txt
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{{alias}}( arrays )
Computes the mode of a one-dimensional ndarray.

If provided an empty input ndarray, the function returns NaN.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing a one-dimensional input ndarray.

Returns
-------
out: number
Mode value.


Examples
--------
> var xbuf = [ 1.0, 2.0, 2.0, 3.0 ];
> var sh = [ xbuf.length ];
> var st = [ 1 ];
> var oo = 0;
> var ord = 'row-major';
> var x = new {{alias:@stdlib/ndarray/ctor}}( 'float64', xbuf, sh, st, oo, ord );
> {{alias}}( [ x ] )
2


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 { float64ndarray } from '@stdlib/types/ndarray';

/**
* Computes the mode of a one-dimensional double-precision floating-point ndarray.
*
* The mode is the value which appears most frequently in the input. If multiple
* values share the highest frequency, the smallest such value is returned.
*
* @param arrays - array-like object containing an input ndarray
* @returns mode
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
*
* var xbuf = new Float64Array( [ 1.0, 2.0, 2.0, 3.0 ] );
* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
*
* var v = mode( [ x ] );
* // returns 2.0
*/
declare function mode( arrays: [ float64ndarray ] ): number;


// EXPORTS //

export = mode;
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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.
*/

/* eslint-disable space-in-parens */

import zeros = require( '@stdlib/ndarray/zeros' );
import mode = require( './index' );


// TESTS //

// The function returns a number...
{
const x = zeros( [ 10 ], {
'dtype': 'float64'
});

mode( [ x ] ); // $ExpectType number
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
{
mode( '10' ); // $ExpectError
mode( 10 ); // $ExpectError
mode( true ); // $ExpectError
mode( false ); // $ExpectError
mode( null ); // $ExpectError
mode( undefined ); // $ExpectError
mode( [] ); // $ExpectError
mode( {} ); // $ExpectError
mode( ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x = zeros( [ 10 ], {
'dtype': 'float64'
});

mode(); // $ExpectError
mode( [ x ], {} ); // $ExpectError
}
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