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156 changes: 156 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/circshift/README.md
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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.

-->

# circshift

> Circularly shift the elements of an input [ndarray][@stdlib/ndarray/ctor] along one or more [ndarray][@stdlib/ndarray/ctor] dimensions by a specified number of positions.

<section class="usage">

## Usage

```javascript
var circshift = require( '@stdlib/blas/ext/circshift' );
```

#### circshift( x, k\[, options] )

Circularly shifts the elements of an input [ndarray][@stdlib/ndarray/ctor] along one or more [ndarray][@stdlib/ndarray/ctor] dimensions by a specified number of positions.

```javascript
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var array = require( '@stdlib/ndarray/array' );

var x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );

var y = circshift( x, 2 );
// returns <ndarray>

var arr = ndarray2array( y );
// returns [ 4.0, 5.0, 1.0, 2.0, 3.0 ]

var bool = ( x === y );
// returns true
```

The function has the following parameters:

- **x**: input [ndarray][@stdlib/ndarray/ctor].
- **k**: number of positions to shift. May be either a numeric scalar value or an [ndarray][@stdlib/ndarray/ctor] having an integer [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by `options.dims`. For example, given the input shape `[2, 3, 4]` and `options.dims=[0]`, an [ndarray][@stdlib/ndarray/ctor] for `k` must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape `[3, 4]`. Similarly, when performing the operation over all elements in a provided input [ndarray][@stdlib/ndarray/ctor], an [ndarray][@stdlib/ndarray/ctor] for `k` must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].
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Suggested change
- **k**: number of positions to shift. May be either a numeric scalar value or an [ndarray][@stdlib/ndarray/ctor] having an integer [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by `options.dims`. For example, given the input shape `[2, 3, 4]` and `options.dims=[0]`, an [ndarray][@stdlib/ndarray/ctor] for `k` must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape `[3, 4]`. Similarly, when performing the operation over all elements in a provided input [ndarray][@stdlib/ndarray/ctor], an [ndarray][@stdlib/ndarray/ctor] for `k` must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].
- **k**: number of positions to shift. May be either an integer scalar value or an [ndarray][@stdlib/ndarray/ctor] having a real-valued or "generic" [data type][@stdlib/ndarray/dtypes]. If provided an [ndarray][@stdlib/ndarray/ctor], the value must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the complement of the shape defined by `options.dims`. For example, given the input shape `[2, 3, 4]` and `options.dims=[0]`, an [ndarray][@stdlib/ndarray/ctor] for `k` must have a shape which is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with the shape `[3, 4]`. Similarly, when performing the operation over all elements in a provided input [ndarray][@stdlib/ndarray/ctor], an [ndarray][@stdlib/ndarray/ctor] for `k` must be a zero-dimensional [ndarray][@stdlib/ndarray/ctor].

- **options**: function options (_optional_).

The function accepts the following options:

- **dims**: list of dimensions over which to perform operation. If not provided, the function performs the operation over all elements in a provided input [ndarray][@stdlib/ndarray/ctor].

By default, the function circularly shifts all elements. To perform the operation over specific dimensions, provide a `dims` option.

```javascript
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var array = require( '@stdlib/ndarray/array' );

var x = array( [ 1.0, 2.0, 3.0, 4.0 ], {
'shape': [ 2, 2 ],
'order': 'row-major'
});

var v = ndarray2array( x );
// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]

var y = circshift( x, 1, {
'dims': [ 0 ]
});
// returns <ndarray>

v = ndarray2array( y );
// returns [ [ 3.0, 4.0 ], [ 1.0, 2.0 ] ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The input [ndarray][@stdlib/ndarray/ctor] is shifted **in-place** (i.e., the input [ndarray][@stdlib/ndarray/ctor] is **mutated**).
- A positive `k` shifts elements to the right (toward higher indices). A negative `k` shifts elements to the left (toward lower indices). If `k` is zero, the input [ndarray][@stdlib/ndarray/ctor] is left unchanged.
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Same comment as REPL help.

- The function iterates over [ndarray][@stdlib/ndarray/ctor] elements according to the memory layout of the input [ndarray][@stdlib/ndarray/ctor]. Accordingly, performance degradation is possible when operating over multiple dimensions of a large non-contiguous multi-dimensional input [ndarray][@stdlib/ndarray/ctor]. In such scenarios, one may want to copy an input [ndarray][@stdlib/ndarray/ctor] to contiguous memory before performing the circular shift.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
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Same comment as elsewhere.

var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var circshift = require( '@stdlib/blas/ext/circshift' );

// Generate an array of random numbers:
var xbuf = discreteUniform( 25, -20, 20, {
'dtype': 'generic'
});

// Wrap in an ndarray:
var x = new ndarray( 'generic', xbuf, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

// Perform operation:
circshift( x, 2, {
'dims': [ 0 ]
});

// Print the results:
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">

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

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

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

</section>

<!-- /.links -->
106 changes: 106 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/circshift/benchmark/benchmark.js
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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 isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var uniform = require( '@stdlib/random/array/uniform' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var circshift = require( './../lib' );


// VARIABLES //

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


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = uniform( len, -50.0, 50.0, options );
x = new ndarray( options.dtype, x, [ len ], [ 1 ], 0, 'row-major' );

return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
o = circshift( x, ( i%len ) + 1 );
if ( typeof o !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( isnan( o.get( 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( format( '%s:dtype=%s,len=%d', pkg, options.dtype, len ), f );
}
}

main();
49 changes: 49 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/circshift/docs/repl.txt
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{{alias}}( x, k[, options] )
Circularly shifts the elements of an input ndarray along one or more
ndarray dimensions by a specified number of positions.

A positive `k` shifts elements to the right (toward higher indices). A
negative `k` shifts elements to the left (toward lower indices). If `k` is
zero, the input ndarray is left unchanged.
Comment on lines +6 to +8
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The language of "higher" and "lower" indices only makes sense in the case where dims refers to a single dimension. What about when you shift over multiple dimensions?

If you want to keep this language, you could say something like

Suggested change
A positive `k` shifts elements to the right (toward higher indices). A
negative `k` shifts elements to the left (toward lower indices). If `k` is
zero, the input ndarray is left unchanged.
When shifting elements along a single dimension, a positive `k` shifts elements to the right (toward higher indices), and a negative `k` shifts elements to the left (toward lower indices).
If `k` is zero, the input ndarray is left unchanged.


The function circularly shifts an input ndarray in-place and thus mutates
an input ndarray.

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

k: ndarray|number
Number of positions to shift. May be either a scalar value or an
ndarray having an integer data type. If provided an ndarray, the value
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Suggested change
ndarray having an integer data type. If provided an ndarray, the value
ndarray having a real-valued or "generic" data type. If provided an ndarray, the value

must have a shape which is broadcast compatible with the complement of
the shape defined by `options.dims`. For example, given the input shape
`[2, 3, 4]` and `options.dims=[0]`, an ndarray for `k` must have a
shape which is broadcast compatible with the shape `[3, 4]`. Similarly,
when performing the operation over all elements in a provided input
ndarray, an ndarray for `k` must be a zero-dimensional ndarray.

options: Object (optional)
Function options.

options.dims: Array<integer> (optional)
List of dimensions over which to perform operation. If not provided, the
function performs the operation over all elements in a provided input
ndarray.

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

Examples
--------
> var x = {{alias:@stdlib/ndarray/array}}( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
> var y = {{alias}}( x, 2 );
> {{alias:@stdlib/ndarray/to-array}}( y )
[ 4.0, 5.0, 1.0, 2.0, 3.0 ]

See Also
--------
85 changes: 85 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/circshift/docs/types/index.d.ts
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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 { ArrayLike } from '@stdlib/types/array';
import { typedndarray, integerndarray } from '@stdlib/types/ndarray';

/**
* Number of positions to shift.
*/
type K = integerndarray | number;
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Suggested change
type K = integerndarray | number;
type K = typedndarray<number> | number;

There is no need to limit to ndarrays having integer dtypes.



/**
* Interface defining options.
*/
interface Options {
/**
* List of dimensions over which to perform operation.
*/
dims?: ArrayLike<number>;
}

/**
* Circularly shifts the elements of an input ndarray along one or more ndarray dimensions by a specified number of positions.
*/
type Circshift = <T = unknown>( x: typedndarray<T>, k: K, options?: Options ) => typedndarray<T>;
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This is not how we document packages which export a function. See

declare function empty<T extends keyof DataTypeMap<number> = 'float64'>( length: number, dtype?: T ): DataTypeMap<number>[T];
.

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@kgryte kgryte Mar 28, 2026

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There is no need for a dedicated type.

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Furthermore, this definition is not correct. You are losing type information. This is a recurring theme for you in TS definitions; it would be good to upskill a bit here.

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Given that this function returns the input ndarray, the output value should preserve the specific type of the input ndarray.


/**
* Circularly shifts the elements of an input ndarray along one or more ndarray dimensions by a specified number of positions.
*
* ## Notes
*
* - The input ndarray is shifted **in-place** (i.e., the input ndarray is **mutated**).
* - A positive `k` shifts elements to the right (toward higher indices). A negative `k` shifts elements to the left (toward lower indices). If `k` is zero, the input ndarray is left unchanged.
*
* @param x - input ndarray
* @param k - number of positions to shift
* @param options - function options
* @returns output ndarray
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Suggested change
* @returns output ndarray
* @returns input ndarray

*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var x = new ndarray( 'float64', xbuf, [ 3, 1, 2 ], [ 2, 2, 1 ], 0, 'row-major' );
*
* var y = circshift( x, 2 );
* // returns <ndarray>[ [ [ 5.0, 6.0 ] ], [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ] ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var x = new ndarray( 'float64', xbuf, [ 3, 1, 2 ], [ 2, 2, 1 ], 0, 'row-major' );
*
* var y = circshift( x, -1 );
* // returns <ndarray>[ [ [ 2.0, 3.0 ] ], [ [ 4.0, 5.0 ] ], [ [ 6.0, 1.0 ] ] ]
*/
declare const circshift: Circshift;


// EXPORTS //

export = circshift;
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