feat: add math/base/assert/is-probabilityf

lib/node_modules/@stdlib/math/base/assert/is-probabilityf/README.md

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+<!--
+
+@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.
+
+-->
+
+# isProbabilityf
+
+> Test if a single-precision floating-point number is a probability.
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var isProbabilityf = require( '@stdlib/math/base/assert/is-probabilityf' );
+```
+
+#### isProbabilityf( x )
+
+Tests if a single-precision floating-point number is a probability.
+
+```javascript
+var bool = isProbabilityf( 0.5 );
+// returns true
+
+bool = isProbabilityf( 3.14 );
+// returns false
+
+bool = isProbabilityf( NaN );
+// returns false
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var randu = require( '@stdlib/random/base/randu' );
+var isProbabilityf = require( '@stdlib/math/base/assert/is-probabilityf' );
+
+var bool;
+var x;
+var i;
+
+for ( i = 0; i < 100; i++ ) {
+    x = ( randu()*2.0 ) - 1.0;
+    bool = isProbabilityf( x );
+    console.log( '%d is %s', x, ( bool ) ? 'a probability' : 'not a probability' );
+}
+```
+
+</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/assert/is_probabilityf.h"
+```
+
+#### stdlib_base_is_probabilityf( x )
+
+Tests if a single-precision floating-point number is a probability.
+
+```c
+bool out = stdlib_base_is_probabilityf( 0.5f );
+// returns true
+
+out = stdlib_base_is_probabilityf( 3.14f );
+// returns false
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] float` input value.
+
+```c
+bool stdlib_base_is_probabilityf( const float x );
+```
+
+</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/assert/is_probabilityf.h"
+#include <stdio.h>
+#include <stdlib.h>
+#include <stdbool.h>
+
+int main( void ) {
+    float x;
+    bool v;
+    int i;
+
+    for ( i = 0; i < 100; i++ ) {
+        x = ( ( (float)rand() / (float)RAND_MAX ) * 2.0f ) - 1.0f;
+        v = stdlib_base_is_probabilityf( x );
+        printf( "%f is %sa probability\n", x, ( v ) ? "" : "not " );
+    }
+}
+```
+
+</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">
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/math/base/assert/is-probabilityf/benchmark/benchmark.js

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+/**
+* @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 Float32Array = require( '@stdlib/array/float32' );
+var randu = require( '@stdlib/random/base/randu' );
+var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pkg = require( './../package.json' ).name;
+var isProbabilityf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var len;
+	var x;
+	var y;
+	var i;
+
+	len = 100;
+	x = new Float32Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( randu()*2.0 ) - 0.0;
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = isProbabilityf( x[ i % len ] );
+		if ( typeof y !== 'boolean' ) {
+			b.fail( 'should return a boolean' );
+		}
+	}
+	b.toc();
+	if ( !isBoolean( y ) ) {
+		b.fail( 'should return a boolean' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});

lib/node_modules/@stdlib/math/base/assert/is-probabilityf/benchmark/benchmark.native.js

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+/**
+* @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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var Float32Array = require( '@stdlib/array/float32' );
+var randu = require( '@stdlib/random/base/randu' );
+var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var isProbabilityf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( isProbabilityf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
+	var x;
+	var y;
+	var i;
+
+	len = 100;
+	x = new Float32Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( randu()*2.0 ) - 0.0;
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = isProbabilityf( x[ i % len ] );
+		if ( typeof y !== 'boolean' ) {
+			b.fail( 'should return a boolean' );
+		}
+	}
+	b.toc();
+	if ( !isBoolean( y ) ) {
+		b.fail( 'should return a boolean' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});