feat: add math/base/special/xlogyf

lib/node_modules/@stdlib/math/base/special/xlogyf/README.md

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+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2024 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.
+
+-->
+
+# xlogyf
+
+> Compute `x * ln(y)` so that the result is `0` if `x = 0` (single-precision).
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var xlogyf = require( '@stdlib/math/base/special/xlogyf' );
+```
+
+#### xlogyf( x, y )
+
+Computes `x * ln(y)` so that the result is `0` if `x = 0` (single-precision).
+
+```javascript
+var out = xlogyf( 3.0, 2.0 );
+// returns ~2.079
+
+out = xlogyf( 1.5, 5.9 );
+// returns ~2.662
+
+out = xlogyf( 0.9, 1.0 );
+// returns 0.0
+
+out = xlogyf( 0.0, -2.0 );
+// returns 0.0
+
+out = xlogyf( 1.5, NaN );
+// returns NaN
+
+out = xlogyf( 0.0, NaN );
+// returns NaN
+
+out = xlogyf( NaN, 2.3 );
+// returns NaN
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var randu = require( '@stdlib/random/base/randu' );
+var xlogyf = require( '@stdlib/math/base/special/xlogyf' );
+
+var x;
+var y;
+var i;
+
+for ( i = 0; i < 100; i++ ) {
+ x = randu();
+ if ( x < 0.5 ) {
+ x = 0.0;
+ }
+ y = ( randu() * 20.0 ) - 5.0;
+ console.log( 'xlogyf(%d, %d) = %d', x, y, xlogyf( x, y ) );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- 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 -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/math/base/special/xlogyf.h"
+```
+
+#### stdlib_base_xlogyf( x, y )
+
+Computes `x * ln(y)` so that the result is `0` if `x = 0` (single-precision).
+
+```c
+float v = stdlib_base_xlogyf( 3.0f, 2.0f );
+// returns ~2.079f
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] float` input value.
+- **y**: `[in] float` input value.
+
+```c
+float stdlib_base_xlogyf( const float x, const float y );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/math/base/special/xlogyf.h"
+#include <stdio.h>
+#include <stdlib.h>
+
+int main( void ) {
+ float out;
+ float x;
+ float y;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ x = ( (float)rand() / (float)RAND_MAX ) * 100.0f;
+ y = ( (float)rand() / (float)RAND_MAX ) * 5.0f;
+ out = stdlib_base_xlogyf( x, y );
+ printf( "xlogyf(%f, %f) = %f\n", x, y, out );
+ }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- 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">
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/math/base/special/xlogyf/benchmark/benchmark.js

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+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pkg = require( './../package.json' ).name;
+var xlogyf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var out;
+ var x;
+ var y;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ x = randu() * 10.0;
+ y = randu() * 10.0;
+ out = xlogyf( x, y );
+ if ( isnanf( out ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( out ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});

lib/node_modules/@stdlib/math/base/special/xlogyf/benchmark/benchmark.native.js

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+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var randu = require( '@stdlib/random/base/randu' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var xlogyf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( xlogyf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+ var out;
+ var x;
+ var y;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ x = ( randu() * 10.0 );
+ y = ( randu() * 10.0 );
+ out = xlogyf( x, y );
+ if ( isnanf( out ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( out ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});