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‎CHANGELOG.md

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### Features
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- [`b228b5e`](https://github.com/stdlib-js/stdlib/commit/b228b5e89da183b38160c6cd6f9908a07918dd09) - add `ndarray/base/unary-reduce-strided1d-by` [(#7214)](https://github.com/stdlib-js/stdlib/pull/7214)
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- [`67e9602`](https://github.com/stdlib-js/stdlib/commit/67e9602131f6e714d98de70ce6809cd9d327b02f) - add `someBy` to namespace
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- [`cc66d3b`](https://github.com/stdlib-js/stdlib/commit/cc66d3b709812126709d2d6c8232ffc2dbd8b576) - add `ndarray/some-by` [(#7145)](https://github.com/stdlib-js/stdlib/pull/7145)
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- [`e05819a`](https://github.com/stdlib-js/stdlib/commit/e05819abfe0fbf982469653a85add02159e8b122) - add `someBy` to namespace
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<details>
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- [`b228b5e`](https://github.com/stdlib-js/stdlib/commit/b228b5e89da183b38160c6cd6f9908a07918dd09) - **feat:** add `ndarray/base/unary-reduce-strided1d-by` [(#7214)](https://github.com/stdlib-js/stdlib/pull/7214) _(by Muhammad Haris, Athan Reines)_
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- [`3f6c0ff`](https://github.com/stdlib-js/stdlib/commit/3f6c0ffd9568665b54d0547b0550b2c96505bed6) - **fix:** address increment bug _(by Athan Reines)_
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- [`4d29349`](https://github.com/stdlib-js/stdlib/commit/4d29349017e6d62d7f72aa0c3a86a24fdd83e86a) - **fix:** address increment bug _(by Athan Reines)_
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- [`d1f5820`](https://github.com/stdlib-js/stdlib/commit/d1f58208fc95174fcfce03f00df278a8190578de) - **fix:** address increment bug _(by Athan Reines)_

‎base/unary-reduce-strided1d-by/README.md

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<!--
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@license Apache-2.0
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Copyright (c) 2025 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# unaryReduceStrided1dBy
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> Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray.
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<section class="intro">
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</section>
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<!-- /.intro -->
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<section class="usage">
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## Usage
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```javascript
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var unaryReduceStrided1dBy = require( '@stdlib/ndarray/base/unary-reduce-strided1d-by' );
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```
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#### unaryReduceStrided1dBy( fcn, arrays, dims\[, options], clbk\[, thisArg] )
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Performs a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assigns results to a provided output ndarray.
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<!-- eslint-disable max-len -->
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
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var maxBy = require( '@stdlib/stats/base/ndarray/max-by' );
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// Define a callback function:
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function clbk( value ) {
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return value * 2.0;
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}
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// Create data buffers:
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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 ] );
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var ybuf = new Float64Array( [ 0.0, 0.0, 0.0 ] );
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// Define the array shapes:
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var xsh = [ 1, 3, 2, 2 ];
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var ysh = [ 1, 3 ];
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// Define the array strides:
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var sx = [ 12, 4, 2, 1 ];
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var sy = [ 3, 1 ];
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// Define the index offsets:
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var ox = 0;
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var oy = 0;
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// Create an input ndarray-like object:
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var x = {
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'dtype': 'float64',
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'data': xbuf,
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'shape': xsh,
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'strides': sx,
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'offset': ox,
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'order': 'row-major'
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};
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// Create an output ndarray-like object:
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var y = {
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'dtype': 'float64',
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'data': ybuf,
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'shape': ysh,
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'strides': sy,
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'offset': oy,
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'order': 'row-major'
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};
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// Perform a reduction:
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unaryReduceStrided1dBy( maxBy, [ x, y ], [ 2, 3 ], clbk );
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var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order );
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// returns [ [ 8.0, 16.0, 24.0 ] ]
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```
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The function accepts the following arguments:
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- **fcn**: function which will be applied to a one-dimensional subarray and should reduce the subarray to a single scalar value.
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- **arrays**: array-like object containing one input ndarray and one output ndarray, followed by any additional ndarray arguments.
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- **dims**: list of dimensions over which to perform a reduction.
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- **options**: function options which are passed through to `fcn` (_optional_).
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- **clbk**: callback function.
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- **thisArg**: callback execution context (_optional_).
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Each provided ndarray should be an object with the following properties:
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- **dtype**: data type.
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- **data**: data buffer.
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- **shape**: dimensions.
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- **strides**: stride lengths.
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- **offset**: index offset.
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- **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
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The invoked callback function is provided the following arguments:
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- **value**: current array element.
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- **indices**: current array element indices.
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- **arr**: the input ndarray.
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To set the callback execution context, provide a `thisArg`.
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<!-- eslint-disable max-len -->
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
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var maxBy = require( '@stdlib/stats/base/ndarray/max-by' );
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// Define a callback function:
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function clbk( value ) {
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this.count += 1;
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return value * 2.0;
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}
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// Create data buffers:
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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 ] );
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var ybuf = new Float64Array( [ 0.0, 0.0, 0.0 ] );
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// Define the array shapes:
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var xsh = [ 1, 3, 2, 2 ];
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var ysh = [ 1, 3 ];
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// Define the array strides:
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var sx = [ 12, 4, 2, 1 ];
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var sy = [ 3, 1 ];
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// Define the index offsets:
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var ox = 0;
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var oy = 0;
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// Create an input ndarray-like object:
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var x = {
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'dtype': 'float64',
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'data': xbuf,
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'shape': xsh,
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'strides': sx,
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'offset': ox,
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'order': 'row-major'
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};
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// Create an output ndarray-like object:
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var y = {
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'dtype': 'float64',
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'data': ybuf,
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'shape': ysh,
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'strides': sy,
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'offset': oy,
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'order': 'row-major'
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};
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// Define callback execution context:
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var ctx = {
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'count': 0
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};
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// Perform a reduction:
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unaryReduceStrided1dBy( maxBy, [ x, y ], [ 2, 3 ], clbk, ctx );
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var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order );
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// returns [ [ 8.0, 16.0, 24.0 ] ]
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var count = ctx.count;
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// returns 12
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```
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#### TODO: document factory method
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</section>
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<!-- /.usage -->
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<section class="notes">
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## Notes
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- The output ndarray and any additional ndarray arguments are expected to have the same dimensions as the non-reduced dimensions of the input ndarray. When calling the reduction function, any additional ndarray arguments are provided as zero-dimensional ndarray-like objects.
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- The reduction function is expected to have the following signature:
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```text
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fcn( arrays[, options], clbk[, thisArg ] )
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```
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where
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- **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as zero-dimensional ndarrays.
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- **options**: function options (_optional_).
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- **clbk**: callback function.
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- **thisArg**: callback execution context (_optional_).
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- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing a reduction in order to achieve better performance.
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</section>
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<!-- /.notes -->
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<section class="examples">
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## Examples
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<!-- eslint no-undef: "error" -->
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```javascript
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var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
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var zeros = require( '@stdlib/array/base/zeros' );
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var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
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var maxBy = require( '@stdlib/stats/base/ndarray/max-by' );
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var unaryReduceStrided1dBy = require( '@stdlib/ndarray/base/unary-reduce-strided1d-by' );
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function clbk( value ) {
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return value * 2.0;
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}
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var N = 10;
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var x = {
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'dtype': 'generic',
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'data': discreteUniform( N, -5, 5, {
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'dtype': 'generic'
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}),
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'shape': [ 1, 5, 2 ],
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'strides': [ 10, 2, 1 ],
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'offset': 0,
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'order': 'row-major'
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};
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var y = {
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'dtype': 'generic',
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'data': zeros( 2 ),
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'shape': [ 1, 5 ],
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'strides': [ 5, 1 ],
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'offset': 0,
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'order': 'row-major'
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};
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unaryReduceStrided1dBy( maxBy, [ x, y ], [ 2 ], clbk );
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console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
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console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
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```
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</section>
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<!-- /.examples -->
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
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<section class="related">
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</section>
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<!-- /.related -->
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<section class="links">
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</section>
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<!-- /.links -->

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