feat: add ndarray/base/nans

lib/node_modules/@stdlib/ndarray/base/nans/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.
+
+-->
+
+# nans
+
+> Create a NaN-filled [ndarray][@stdlib/ndarray/base/ctor] having a specified shape and [data type][@stdlib/ndarray/dtypes].
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- Package usage documentation. -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var nans = require( '@stdlib/ndarray/base/nans' );
+```
+
+#### nans( dtype, shape, order )
+
+Creates a NaN-filled [ndarray][@stdlib/ndarray/base/ctor] having a specified shape and [data type][@stdlib/ndarray/dtypes].
+
+```javascript
+var getDType = require( '@stdlib/ndarray/dtype' );
+
+var arr = nans( 'float64', [ 2, 2 ], 'row-major' );
+// returns <ndarray>[ [ NaN, NaN ], [ NaN, NaN ] ]
+
+var dt = String( getDType( arr ) );
+// returns 'float64'
+```
+
+The function accepts the following arguments:
+
+-   **dtype**: underlying [data type][@stdlib/ndarray/dtypes]. Must be a floating-point or "generic" [data type][@stdlib/ndarray/dtypes].
+-   **shape**: array shape.
+-   **order**: specifies whether an [ndarray][@stdlib/ndarray/base/ctor] is `'row-major'` (C-style) or `'column-major'` (Fortran-style).
+
+</section>
+
+<!-- /.usage -->
+
+<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var nans = require( '@stdlib/ndarray/base/nans' );
+
+var dt = [
+    'float64',
+    'float32',
+    'complex128',
+    'complex64',
+    'generic'
+];
+
+// Generate NaN-filled arrays...
+var arr;
+var i;
+for ( i = 0; i < dt.length; i++ ) {
+    arr = nans( dt[ i ], [ 2, 2 ], 'row-major' );
+    console.log( ndarray2array( arr ) );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<!-- 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/base/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ctor
+
+[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/ndarray/base/nans/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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var nans = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s:dtype=float64', pkg ), function benchmark( b ) {
+	var arr;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nans( 'float64', [ 0 ], 'row-major' );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( arr ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:dtype=float32', pkg ), function benchmark( b ) {
+	var arr;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nans( 'float32', [ 0 ], 'row-major' );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( arr ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:dtype=complex128', pkg ), function benchmark( b ) {
+	var arr;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nans( 'complex128', [ 0 ], 'row-major' );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( arr ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:dtype=complex64', pkg ), function benchmark( b ) {
+	var arr;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nans( 'complex64', [ 0 ], 'row-major' );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( arr ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:dtype=generic', pkg ), function benchmark( b ) {
+	var arr;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nans( 'generic', [ 0 ], 'row-major' );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( arr ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});

lib/node_modules/@stdlib/ndarray/base/nans/benchmark/benchmark.size.complex128.js

@@ -0,0 +1,94 @@
+/**
+* @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 pow = require( '@stdlib/math/base/special/pow' );
+var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var nans = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var arr;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			arr = nans( 'complex128', [ len ], 'row-major' );
+			if ( arr.length !== len ) {
+				b.fail( 'unexpected length' );
+			}
+		}
+		b.toc();
+		if ( !isndarrayLike( arr ) ) {
+			b.fail( 'should return an ndarray' );
+		}
+		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=complex128,size=%d', pkg, len ), f );
+	}
+}
+
+main();