feat: add ndarray/flatten

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

@@ -0,0 +1,174 @@
+<!--
+
+@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.
+
+-->
+
+# flatten
+
+> Return a flattened copy of an input [`ndarray`][@stdlib/ndarray/ctor].
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var flatten = require( '@stdlib/ndarray/flatten' );
+```
+
+#### flatten( x\[, options] )
+
+Returns a flattened copy of an input [`ndarray`][@stdlib/ndarray/ctor].
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var y = flatten( x );
+// returns <ndarray>
+
+var arr = ndarray2array( y );
+// returns [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].
+-   **options**: function options (_optional_).
+
+The function accepts the following options:
+
+-   **depth**: a nonnegative integer specifying the number of input [`ndarray`][@stdlib/ndarray/ctor] dimensions to flatten.
+
+-   **order**: order of the output [`ndarray`][@stdlib/ndarray/ctor]. The option may be one of the following values:
+
+    -   `'row-major'`: the input [`ndarray`][@stdlib/ndarray/ctor] is flattened in lexicographic [order][@stdlib/ndarray/orders].
+    -   `'column-major'`: the input [`ndarray`][@stdlib/ndarray/ctor] is flattened in colexicographic [order][@stdlib/ndarray/orders].
+    -   `'any'`: the input [`ndarray`][@stdlib/ndarray/ctor] is flattened in colexicographic [order][@stdlib/ndarray/orders] if the input [`ndarray`][@stdlib/ndarray/ctor] is column-major; otherwise, it is flattened in lexicographic [order][@stdlib/ndarray/orders].
+    -   `'same'`: the input [`ndarray`][@stdlib/ndarray/ctor] is flattened in the [order][@stdlib/ndarray/orders] of the input [`ndarray`][@stdlib/ndarray/ctor].
+
+By default, all the dimensinos of the input [ndarray][@stdlib/ndarray/ctor] are flattened. To flatten upto to a specific `depth`, specify the `depth` option.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var y = flatten( x, {
+    'depth': 1
+});
+// returns <ndarray>
+
+var arr = ndarray2array( y );
+// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+```
+
+By default, the input [ndarray][@stdlib/ndarray/ctor] is flattened in lexicographic order. To flatten in a different [order][@stdlib/ndarray/orders], specify the `order` option.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
+// returns <ndarray>
+
+var y = flatten( x, {
+    'order': 'column-major'
+});
+// returns <ndarray>
+
+var arr = ndarray2array( y );
+// returns [ 1.0, 3.0, 5.0, 2.0, 4.0, 6.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</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 flatten = require( '@stdlib/ndarray/flatten' );
+
+var xbuf = discreteUniform( 12, -100, 100, {
+    'dtype': 'generic'
+});
+
+// Create an input ndarray:
+var x = array( xbuf, {
+    'shape': [ 2, 2, 3 ],
+    'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+// Flatten the input ndarray:
+var y = flatten( x );
+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/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->