feat: add stats/base/ndarray/nanmax-by

lib/node_modules/@stdlib/stats/base/ndarray/nanmax-by/README.md

@@ -0,0 +1,160 @@
+<!--
+
+@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.
+
+-->
+
+# nanmaxBy
+
+> Compute the maximum value of a one-dimensional ndarray via a callback function, ignoring `NaN` values.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var nanmaxBy = require( '@stdlib/stats/base/ndarray/nanmax-by' );
+```
+
+#### nanmaxBy( arrays, clbk\[, thisArg ] )
+
+Computes the maximum value of a one-dimensional ndarray via a callback function, ignoring `NaN` values.
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+function clbk( value ) {
+    return value * 2.0;
+}
+
+var xbuf = [ 1.0, NaN, 4.0, 2.0 ];
+var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = nanmaxBy( [ x ], clbk );
+// returns 8.0
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context (_optional_).
+
+The invoked callback is provided three arguments:
+
+-   **value**: current array element.
+-   **idx**: current array element index.
+-   **array**: input ndarray.
+
+To set the callback execution context, provide a `thisArg`.
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+function clbk( value ) {
+    this.count += 1;
+    return value * 2.0;
+}
+
+var xbuf = [ 1.0, 3.0, NaN, 2.0 ];
+var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+var ctx = {
+    'count': 0
+};
+
+var v = nanmaxBy( [ x ], clbk, ctx );
+// returns 6.0
+
+var count = ctx.count;
+// returns 4
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional ndarray, the function returns `NaN`.
+-   A provided callback function should return a numeric value.
+-   If a provided callback function returns `NaN`, the value is ignored.
+-   If a provided callback function does not return any value (or equivalently, explicitly returns `undefined`), the value is **ignored**.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var nanmaxBy = require( '@stdlib/stats/base/ndarray/nanmax-by' );
+
+function clbk( value ) {
+    return value * 2.0;
+}
+
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
+    }
+    return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'generic', rand );
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = nanmaxBy( [ x ], clbk );
+console.log( v );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- 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">
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/stats/base/ndarray/nanmax-by/benchmark/benchmark.js

@@ -0,0 +1,123 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var nanmaxBy = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Accessor function.
+*
+* @private
+* @param {number} value - array element
+* @returns {number} accessed value
+*/
+function clbk( value ) {
+	return value * 2.0;
+}
+
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var xbuf;
+	var x;
+
+	xbuf = filledarrayBy( len, options.dtype, rand );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = nanmaxBy( [ x ], clbk );
+			if ( isnan( v ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( v ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+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( pkg+':len='+len, f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/stats/base/ndarray/nanmax-by/docs/repl.txt

@@ -0,0 +1,51 @@
+
+{{alias}}( arrays, clbk[, thisArg] )
+    Computes the maximum value of a one-dimensional ndarray via a callback
+    function, ignoring `NaN` values.
+
+    If provided an empty ndarray, the function returns `NaN`.
+
+    The callback function is provided three arguments:
+
+    - value: current array element.
+    - index: current array index.
+    - array: the input ndarray.
+
+    The callback function should return a numeric value.
+
+    If the callback function does not return any value (or equivalently,
+    explicitly returns `undefined`), the value is ignored.
+
+    If the callback function returns `NaN`, the value is ignored.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray.
+
+    clbk: Function
+        Callback function.
+
+    thisArg: any (optional)
+        Callback execution context.
+
+    Returns
+    -------
+    out: number
+        Maximum value.
+
+    Examples
+    --------
+    > var xbuf = [ 1.0, NaN, 2.0 ];
+    > var dt = 'generic';
+    > var sh = [ xbuf.length ];
+    > var sx = [ 1 ];
+    > var ox = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+    > function f ( v ) { return v * 2.0; };
+    > {{alias}}( [ x ], f )
+    4.0
+
+    See Also
+    --------