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216 changes: 216 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/some-by/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.

-->

# someBy

> Test whether at least `n` elements in an ndarray pass a test implemented by a predicate function.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var someBy = require( '@stdlib/ndarray/base/some-by' );
```

#### someBy( arrays, clbk\[, thisArg ] )

Tests whether at least `n` elements in an ndarray pass a test implemented by a predicate function.

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

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );

function clbk( value ) {
return value > 0.0;
}

// Create a data buffer:
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );

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

// Define the array strides:
var sx = [ 4, 4, 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'
};

var n = scalar2ndarray( 3.0, 'generic', 'row-major' );

var out = someBy( [ x, n ], clbk );
// returns true
```

The function accepts the following arguments:

- **arrays**: array-like object containing an input ndarray and a zero-dimensional ndarray.
- **predicate**: predicate function.
- **thisArg**: predicate function execution context (_optional_).

Each 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).

The predicate function is provided the following arguments:

- **value**: current array element.
- **indices**: current array element indices.
- **arr**: the input ndarray.

To set the predicate function execution context, provide a `thisArg`.

<!-- eslint-disable no-invalid-this, max-len -->

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );

function clbk( value ) {
this.count += 1;
return value > 0.0;
}

// Create a data buffer:
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );

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

// Define the array strides:
var sx = [ 4, 4, 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'
};

var n = scalar2ndarray( 6.0, 'generic', 'row-major' );

var ctx = {
'count': 0
};

var out = someBy( [ x, n ], clbk, ctx );
// returns true

var count = ctx.count;
// returns 6
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing the operation in order to achieve better performance.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
var someBy = require( '@stdlib/ndarray/base/some-by' );

function clbk( value ) {
return value > 0;
}

var x = {
'dtype': 'generic',
'data': discreteUniform( 10, -2, 10, {
'dtype': 'generic'
}),
'shape': [ 5, 2 ],
'strides': [ 2, 1 ],
'offset': 0,
'order': 'row-major'
};
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );

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

var out = someBy( [ x, n ], clbk );
console.log( out );
```

</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">

</section>

<!-- /.links -->
47 changes: 47 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/some-by/examples/index.js
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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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
var someBy = require( './../lib' );

function clbk( value ) {
return value > 0;
}

var x = {
'dtype': 'generic',
'data': discreteUniform( 10, -2, 10, {
'dtype': 'generic'
}),
'shape': [ 5, 2 ],
'strides': [ 2, 1 ],
'offset': 0,
'order': 'row-major'
};
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );

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

var out = someBy( [ x, n ], clbk );
console.log( out );
84 changes: 84 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/some-by/lib/0d.js
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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';

// MAIN //

/**
* Tests whether at least `n` elements in an ndarray pass a test implemented by a predicate function.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {PositiveInteger} n - number of elements
* @param {Function} predicate - predicate function
* @param {*} thisArg - predicate function execution context
* @returns {boolean} boolean indicating whether all elements pass a test
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* function predicate( value ) {
* return value > 0.0;
* }
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ 1.0, 2.0 ] );
*
* // Define the shape of the input array:
* var shape = [];
*
* // Define the array strides:
* var sx = [ 0 ];
*
* // Define the index offset:
* var ox = 1;
*
* // Create the input ndarray-like object:
* var x = {
* 'ref': null,
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
*
* // Test elements:
* var out = some0d( x, 1, predicate );
* // returns true
*/
function some0d( x, n, predicate, thisArg ) {
if ( predicate.call( thisArg, x.data[ x.offset ], [], x.ref ) ) {
return true;
}
return false;
}


// EXPORTS //

module.exports = some0d;
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