feat: add C implementation base/dists/hypergeometric/cdf

Author: saurabhraghuvanshii

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/cdf/README.md

@@ -157,6 +157,108 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.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/stats/base/dists/hypergeometric/cdf.h"
+```
+
+#### stdlib_base_dists_hypergeometric_cdf( x, N, K, n )
+
+Evaluates the [probability mass function][cdf] (cdf) for a [hypergeometric][hypergeometric-distribution] distribution with parameters `N` (population size), `K` (subpopulation size), and `n` (number of draws).
+
+```c
+double out = stdlib_base_dists_hypergeometric_cdf( 1.0, 8, 4, 2 );
+// returns ~0.786
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] double` input value.
+-   **N**: `[in] int32_t` population size.
+-   **K**: `[in] int32_t` subpopulation size.
+-   **n**: `[in] int32_t` number of draws.
+
+```c
+double stdlib_base_dists_hypergeometric_cdf( const double x, const int32_t N, const int32_t K, const int32_t n );
+```
+
+</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/stats/base/dists/hypergeometric/cdf.h"
+#include "stdlib/math/base/special/round.h"
+#include <stdlib.h>
+#include <stdint.h>
+#include <stdio.h>
+
+static double random_uniform( const double min, const double max ) {
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v * ( max - min ) );
+}
+
+int main( void ) {
+    int32_t N;
+    int32_t K;
+    int32_t n;
+    double x;
+    double y;
+    int i;
+    for ( i = 0; i < 10; i++ ) {
+        x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
+        N = stdlib_base_round( random_uniform( 0.0, 20.0 ) );
+        K = stdlib_base_round( random_uniform( 0.0, N ) );
+        n = stdlib_base_round( random_uniform( 0.0, N ) );
+        y = stdlib_base_dists_hypergeometric_cdf( x, N, K, n );
+        printf( "x: %lf, N: %d, K: %d, n: %d, P(X=x;N,K,n): %lf\n", x, N, K, n, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/cdf/benchmark/benchmark.native.js

@@ -0,0 +1,76 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var cdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( cdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
+	var N;
+	var K;
+	var n;
+	var x;
+	var y;
+	var i;
+
+	len = 100;
+	N = new Float64Array( len );
+	K = new Float64Array( len );
+	n = new Float64Array( len );
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = discreteUniform( 1, 10 );
+		N[ i ] = discreteUniform( 1, 100 );
+		K[ i ] = discreteUniform( 1, N[ i ] );
+		n[ i ] = discreteUniform( 1, N[ i ] );
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = cdf( x[ i%len ], N[ i%len ], K[ i%len ], n[ i%len ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});