feat: add ndarray/flatten-from

lib/node_modules/@stdlib/ndarray/flatten-from/README.md

@@ -0,0 +1,203 @@
+<!--
+
+@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.
+
+-->
+
+# flattenFrom
+
+> Return a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specific dimension.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var flattenFrom = require( '@stdlib/ndarray/flatten-from' );
+```
+
+#### flattenFrom( x, dim\[, options] )
+
+Returns a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specific dimension.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var shape = require( '@stdlib/ndarray/shape' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var shx = shape( x );
+// returns [ 3, 1, 2 ]
+
+var y = flattenFrom( x, 1 );
+// returns <ndarray>
+
+var shy = shape( y );
+// returns [ 3, 2 ]
+
+var arr = ndarray2array( y );
+// returns [ [ 1, 2 ], [ 3, 4 ], [ 5, 6 ] ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [ndarray][@stdlib/ndarray/ctor].
+-   **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_).
+
+The function accepts the following options:
+
+-   **order**: order in which input [ndarray][@stdlib/ndarray/ctor] elements should be flattened. Must be one of the following:
+
+    -   `'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].
+
+    Default: `'row-major'`.
+
+-   **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].
+
+By default, the input [ndarray][@stdlib/ndarray/ctor] is flattened in lexicographic order. To flatten elements in a different order, specify the `order` option.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var shape = require( '@stdlib/ndarray/shape' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var shx = shape( x );
+// returns [ 3, 1, 2 ]
+
+var y = flattenFrom( x, 0, {
+    'order': 'column-major'
+});
+// returns <ndarray>
+
+var shy = shape( y );
+// returns [ 6 ]
+
+var arr = ndarray2array( y );
+// returns [ 1.0, 3.0, 5.0, 2.0, 4.0, 6.0 ]
+```
+
+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.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var dtype = require( '@stdlib/ndarray/dtype' );
+var shape = require( '@stdlib/ndarray/shape' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var shx = shape( x );
+// returns [ 3, 1, 2 ]
+
+var y = flattenFrom( x, 0, {
+    'dtype': 'float32'
+});
+// returns <ndarray>
+
+var shy = shape( y );
+// returns [ 6 ]
+
+var dt = dtype( y );
+// returns 'float32'
+
+var arr = ndarray2array( y );
+// returns [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   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.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var flattenFrom = require( '@stdlib/ndarray/flatten-from' );
+
+var xbuf = discreteUniform( 12, -100, 100, {
+    'dtype': 'generic'
+});
+
+var x = array( xbuf, {
+    'shape': [ 2, 2, 3 ],
+    'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+var y = flattenFrom( x, 1 );
+console.log( ndarray2array( y ) );
+```
+
+</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">
+
+[@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/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->