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feat: add ndarray/flatten-from-by
#9040
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242 changes: 242 additions & 0 deletions
242
lib/node_modules/@stdlib/ndarray/flatten-from-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"); | ||
| you may not use this file except in compliance with the License. | ||
| 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 | ||
| 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. | ||
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| --> | ||
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| # flattenFromBy | ||
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| > Flatten an [ndarray][@stdlib/ndarray/ctor] from a specified dimension while applying a callback function to each element. | ||
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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 | ||
| var flattenFromBy = require( '@stdlib/ndarray/flatten-from-by' ); | ||
| ``` | ||
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| #### flattenFromBy( x, dim\[, options], fcn\[, thisArg] ) | ||
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| Flattens an [ndarray][@stdlib/ndarray/ctor] from a specified dimension while applying a callback function to each element. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
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| function scale( value ) { | ||
| return value * 2.0; | ||
| } | ||
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| var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] ); | ||
| // returns <ndarray> | ||
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| var y = flattenFromBy( x, 1, scale ); | ||
| // returns <ndarray> | ||
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| var arr = ndarray2array( y ); | ||
| // returns [ [ 2.0, 4.0 ], [ 6.0, 8.0 ], [ 10.0, 12.0 ] ] | ||
| ``` | ||
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| The function accepts the following arguments: | ||
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| - **x**: input [ndarray][@stdlib/ndarray/ctor]. Must have one or more dimensions. | ||
| - **dim**: dimension to start flattening from. If provided an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`. | ||
| - **options**: function options (_optional_). | ||
| - **fcn**: callback function. | ||
| - **thisArg**: callback execution context (_optional_). | ||
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| The function accepts the following options: | ||
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| - **order**: order in which input [ndarray][@stdlib/ndarray/ctor] elements should be flattened. Must be one of the following: | ||
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| - `'row-major'`: flatten elements in lexicographic order. For example, given a two-dimensional input [ndarray][@stdlib/ndarray/ctor] (i.e., a matrix), flattening in lexicographic order means flattening the input [ndarray][@stdlib/ndarray/ctor] row-by-row. | ||
| - `'column-major'`: flatten elements in colexicographic order. For example, given a two-dimensional input [ndarray][@stdlib/ndarray/ctor] (i.e., a matrix), flattening in colexicographic order means flattening the input [ndarray][@stdlib/ndarray/ctor] column-by-column. | ||
| - `'any'`: flatten according to the physical layout of the input [ndarray][@stdlib/ndarray/ctor] data in memory, regardless of the stated [order][@stdlib/ndarray/orders] of the input [ndarray][@stdlib/ndarray/ctor]. | ||
| - `'same'`: flatten according to the stated [order][@stdlib/ndarray/orders] of the input [ndarray][@stdlib/ndarray/ctor]. | ||
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| Default: `'row-major'`. | ||
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| - **dtype**: output ndarray [data type][@stdlib/ndarray/dtypes]. By default, the function returns an [ndarray][@stdlib/ndarray/ctor] having the same [data type][@stdlib/ndarray/dtypes] as a provided input [ndarray][@stdlib/ndarray/ctor]. | ||
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| By default, the input [ndarray][@stdlib/ndarray/ctor] is flattened in lexicographic order. To flatten elements in a different order, specify the `order` option. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
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| function scale( value ) { | ||
| return value * 2.0; | ||
| } | ||
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| var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] ); | ||
| // returns <ndarray> | ||
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| var opts = { | ||
| 'order': 'column-major' | ||
| }; | ||
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| var y = flattenFromBy( x, 0, opts, scale ); | ||
| // returns <ndarray> | ||
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| var arr = ndarray2array( y ); | ||
| // returns [ 2.0, 6.0, 10.0, 4.0, 8.0, 12.0 ] | ||
| ``` | ||
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| By default, the output ndarray [data type][@stdlib/ndarray/dtypes] is inferred from the input [ndarray][@stdlib/ndarray/ctor]. To return an ndarray with a different [data type][@stdlib/ndarray/dtypes], specify the `dtype` option. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var dtype = require( '@stdlib/ndarray/dtype' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
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| function scale( value ) { | ||
| return value * 2.0; | ||
| } | ||
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| var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] ); | ||
| // returns <ndarray> | ||
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| var opts = { | ||
| 'dtype': 'float32' | ||
| }; | ||
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| var y = flattenFromBy( x, 0, opts, scale ); | ||
| // returns <ndarray> | ||
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| var dt = String( dtype( y ) ); | ||
| // returns 'float32' | ||
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| var arr = ndarray2array( y ); | ||
| // returns [ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ] | ||
| ``` | ||
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| To set the callback function execution context, provide a `thisArg`. | ||
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| <!-- eslint-disable no-invalid-this, max-len --> | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
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| function scale( value ) { | ||
| this.count += 1; | ||
| return value * 2.0; | ||
| } | ||
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| var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] ); | ||
| // returns <ndarray> | ||
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| var ctx = { | ||
| 'count': 0 | ||
| }; | ||
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| var y = flattenFromBy( x, 1, scale, ctx ); | ||
| // returns <ndarray> | ||
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| var arr = ndarray2array( y ); | ||
| // returns [ [ 2.0, 4.0 ], [ 6.0, 8.0 ], [ 10.0, 12.0 ] ] | ||
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| var count = ctx.count; | ||
| // returns 6 | ||
| ``` | ||
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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 function **always** returns a copy of input [ndarray][@stdlib/ndarray/ctor] data, even when an input [ndarray][@stdlib/ndarray/ctor] already has the desired number of dimensions. | ||
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| - The callback function is provided the following arguments: | ||
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| - **value**: current array element. | ||
| - **indices**: current array element indices. | ||
| - **arr**: the input [ndarray][@stdlib/ndarray/ctor]. | ||
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| - The order in which array elements are traversed and passed to a provided callback function is **not** guaranteed to match the order of array elements in an [ndarray][@stdlib/ndarray/ctor] view. Accordingly, a provided callback should avoid making assumptions regarding the order of provided elements. | ||
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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 | ||
| var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var flattenFromBy = require( '@stdlib/ndarray/flatten-from-by' ); | ||
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| function scale( value ) { | ||
| return value * 2.0; | ||
| } | ||
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| var xbuf = discreteUniform( 12, -100, 100, { | ||
| 'dtype': 'generic' | ||
| }); | ||
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| var x = array( xbuf, { | ||
| 'shape': [ 2, 2, 3 ], | ||
| 'dtype': 'generic' | ||
| }); | ||
| console.log( ndarray2array( x ) ); | ||
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| var y = flattenFromBy( x, 1, scale ); | ||
| console.log( ndarray2array( y ) ); | ||
| ``` | ||
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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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| [@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor | ||
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| [@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes | ||
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| [@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders | ||
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| <!-- <related-links> --> | ||
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| <!-- </related-links> --> | ||
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| </section> | ||
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| <!-- /.links --> | ||
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Applies here and throughout this PR.