feat: add math/base/special/ldexpf

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

@@ -0,0 +1,212 @@
+<!--
+
+@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.
+
+-->
+
+# ldexpf
+
+> Multiply a [single-precision floating-point number][ieee754] by an integer power of two.
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var ldexpf = require( '@stdlib/math/base/special/ldexpf' );
+```
+
+#### ldexpf( frac, exp )
+
+Multiplies a [single-precision floating-point number][ieee754] by an `integer` power of two (i.e., `x = frac * 2^exp`).
+
+```javascript
+var x = ldexpf( 0.5, 3 ); // => 0.5 * 2^3 = 0.5 * 8
+// returns 4.0
+
+x = ldexpf( 4.0, -2 ); // => 4 * 2^(-2) = 4 * (1/4)
+// returns 1.0
+```
+
+If `frac` equals positive or negative zero, `NaN`, or positive or negative `infinity`, the function returns a value equal to `frac`.
+
+```javascript
+var x = ldexpf( 0.0, 20 );
+// returns 0.0
+
+x = ldexpf( -0.0, 39 );
+// returns -0.0
+
+x = ldexpf( NaN, -101 );
+// returns NaN
+
+x = ldexpf( Infinity, 11 );
+// returns Infinity
+
+x = ldexpf( -Infinity, -118 );
+// returns -Infinity
+```
+
+<section class="usage">
+
+<section class="notes">
+
+## Notes
+
+// TODO: update this once we have `frexpf`.
+
+-   This function is the inverse of [`frexp`][@stdlib/math/base/special/frexp].
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var linspace = require( '@stdlib/array/base/linspace' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ldexpf = require( '@stdlib/math/base/special/ldexpf' );
+
+var frac = linspace( 0.0, 100.0, 10 );
+var exp = discreteUniform( 100, 0, 10 );
+
+var i;
+for ( i = 0; i < frac.length; i++ ) {
+    console.log( 'ldexpf(%d,%d) = %d', frac[ i ], exp[ i ], ldexpf( frac[ i ], exp[ i ] ) );
+}
+```
+
+</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/ldexpf.h"
+```
+
+#### stdlib_base_ldexpf( frac, exp )
+
+Multiplies a [single-precision floating-point number][ieee754] by an integer power of two (i.e., `x = frac * 2^exp`).
+
+```c
+float x = stdlib_base_ldexpf( 0.5f, 3 ); // => 0.5 * 2^3 = 0.5 * 8
+// returns 4.0f
+```
+
+The function accepts the following arguments:
+
+-   **frac**: `[in] float` input value.
+-   **exp**: `[in] int32_t` integer power of two.
+
+```c
+float stdlib_base_ldexpf( const float frac, const int32_t exp );
+```
+
+</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/ldexpf.h"
+#include <stdint.h>
+#include <stdio.h>
+
+int main( void ) {
+    float y;
+    int i;
+
+    const float frac[] = { 0.5f, 5.0f, 0.0f, 3.5f, 7.9f };
+    const int32_t exp[] = { 3, -2, 20, 39, 14 };
+
+    for ( i = 0; i < 5; i++ ) {
+        y = stdlib_base_ldexpf( frac[ i ], exp[ i ] );
+        printf( "ldexpf(%f, %d) = %f\n", frac[ i ], exp[ i ], y );
+    }
+}
+```
+
+</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">
+
+[ieee754]: https://en.wikipedia.org/wiki/IEEE_754-1985
+[@stdlib/math/base/special/frexp]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/frexp
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->

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

@@ -0,0 +1,55 @@
+/**
+* @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/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pkg = require( './../package.json' ).name;
+var ldexpf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var x;
+	var y;
+	var z;
+	var i;
+
+	x = randu( 100, -10.0, 10.0 );
+	y = discreteUniform( 100, -1020.0, 1020.0 );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		z = ldexpf( x[ i % x.length ], y[ i % y.length ] );
+		if ( isnanf( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnanf( z ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});

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

@@ -0,0 +1,64 @@
+/**
+* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var ldexpf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( ldexpf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var x;
+	var y;
+	var z;
+	var i;
+
+	x = randu( 100, -10.0, 10.0 );
+	y = discreteUniform( 100, -1020.0, 1020.0 );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		z = ldexpf( x[ i % x.length ], y[ i % y.length ] );
+		if ( isnanf( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnanf( z ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});