feat: add C implementation for stats/base/dists/binomial/cdf

lib/node_modules/@stdlib/math/base/napi/ternary/include/stdlib/math/base/napi/ternary.h

@@ -144,6 +144,48 @@
 	};                                                                         \
 	NAPI_MODULE( NODE_GYP_MODULE_NAME, stdlib_math_base_napi_dii_d_init )
 
+/**
+* Macro for registering a Node-API module exporting an interface invoking a ternary function accepting a double-precision floating-point number and two signed 64-bit integers and returning a double-precision floating-point number.
+*
+* @param fcn   ternary function
+*
+* @example
+* #include <stdint.h>
+*
+* static double fcn( const int_64 x, const int_64 y, const double z ) {
+*     // ...
+* }
+*
+* // ...
+*
+* // Register a Node-API module:
+* STDLIB_MATH_BASE_NAPI_MODULE_LLD_D( fcn );
+*/
+#define STDLIB_MATH_BASE_NAPI_MODULE_LLD_D( fcn )                              \
+	static napi_value stdlib_math_base_napi_lld_d_wrapper(                     \
+		napi_env env,                                                          \
+		napi_callback_info info                                                \
+	) {                                                                        \
+		return stdlib_math_base_napi_lld_d( env, info, fcn );                  \
+	};                                                                         \
+	static napi_value stdlib_math_base_napi_lld_d_init(                        \
+		napi_env env,                                                          \
+		napi_value exports                                                     \
+	) {                                                                        \
+		napi_value fcn;                                                        \
+		napi_status status = napi_create_function(                             \
+			env,                                                               \
+			"exports",                                                         \
+			NAPI_AUTO_LENGTH,                                                  \
+			stdlib_math_base_napi_lld_d_wrapper,                               \
+			NULL,                                                              \
+			&fcn                                                               \
+		);                                                                     \
+		assert( status == napi_ok );                                           \
+		return fcn;                                                            \
+	};                                                                         \
+	NAPI_MODULE( NODE_GYP_MODULE_NAME, stdlib_math_base_napi_lld_d_init )
+
 /*
 * If C++, prevent name mangling so that the compiler emits a ternary file having undecorated names, thus mirroring the behavior of a C compiler.
 */
@@ -165,6 +207,10 @@ napi_value stdlib_math_base_napi_fff_f( napi_env env, napi_callback_info info, f
 * Invokes a ternary function accepting a double-precision floating-point number and two signed 32-bit integers and returning a double-precision floating-point number.
 */
 napi_value stdlib_math_base_napi_dii_d( napi_env env, napi_callback_info info, double (*fcn)( double, int32_t, int32_t ) );
+/**
+* Invokes a ternary function accepting a double-precision floating-point number and two signed 64-bit integers and returning a double-precision floating-point number.
+*/
+napi_value stdlib_math_base_napi_lld_d( napi_env env, napi_callback_info info, double (*fcn)( int64_t, int64_t, double ) );
 
 #ifdef __cplusplus
 }

lib/node_modules/@stdlib/math/base/napi/ternary/src/main.c

@@ -248,3 +248,79 @@ napi_value stdlib_math_base_napi_dii_d( napi_env env, napi_callback_info info, d
 
 	return v;
 }
+
+/**
+* Invokes a ternary function accepting a double-precision floating-point number and two signed 64-bit integers and returning a double-precision floating-point number.
+*
+* ## Notes
+*
+* -   This function expects that the callback `info` argument provides access to the following JavaScript arguments:
+*
+*     -   `x`: input value.
+*     -   `y`: input value.
+*     -   `z`: input value.
+*
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @param fcn    ternary function
+* @return       function return value as a Node-API double-precision floating-point number
+*/
+napi_value stdlib_math_base_napi_lld_d( napi_env env, napi_callback_info info, double (*fcn)( int64_t, int64_t, double ) ) {
+	napi_status status;
+
+	size_t argc = 3;
+	napi_value argv[ 3 ];
+	status = napi_get_cb_info( env, info, &argc, argv, NULL, NULL );
+	assert( status == napi_ok );
+
+	if ( argc < 3 ) {
+		status = napi_throw_error( env, NULL, "invalid invocation. Must provide three numbers." );
+		assert( status == napi_ok );
+		return NULL;
+	}
+
+	napi_valuetype vtype0;
+	status = napi_typeof( env, argv[ 0 ], &vtype0 );
+	assert( status == napi_ok );
+	if ( vtype0 != napi_number ) {
+		status = napi_throw_type_error( env, NULL, "invalid argument. First argument must be a number." );
+		assert( status == napi_ok );
+		return NULL;
+	}
+
+	napi_valuetype vtype1;
+	status = napi_typeof( env, argv[ 1 ], &vtype1 );
+	assert( status == napi_ok );
+	if ( vtype1 != napi_number ) {
+		status = napi_throw_type_error( env, NULL, "invalid argument. Second argument must be a number." );
+		assert( status == napi_ok );
+		return NULL;
+	}
+
+	napi_valuetype vtype2;
+	status = napi_typeof( env, argv[ 2 ], &vtype2 );
+	assert( status == napi_ok );
+	if ( vtype2 != napi_number ) {
+		status = napi_throw_type_error( env, NULL, "invalid argument. Third argument must be a number." );
+		assert( status == napi_ok );
+		return NULL;
+	}
+
+	int64_t x;
+	status = napi_get_value_int64( env, argv[ 0 ], &x );
+	assert( status == napi_ok );
+
+	int64_t y;
+	status = napi_get_value_int64( env, argv[ 1 ], &y );
+	assert( status == napi_ok );
+
+	double z;
+	status = napi_get_value_double( env, argv[ 2 ], &z );
+	assert( status == napi_ok );
+
+	napi_value v;
+	status = napi_create_double( env, fcn( x, y, z ), &v );
+	assert( status == napi_ok );
+
+	return v;
+}

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

@@ -167,6 +167,103 @@ 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/binomial/cdf.h"
+```
+
+#### stdlib_base_dists_binomial_cdf( k, n, p )
+
+Evaluates the cumulative distribution function (CDF) for a binomial distribution.
+
+```c
+double out = stdlib_base_dists_binomial_cdf( 5, 10, 0.5 );
+// returns ~0.623
+```
+
+The function accepts the following arguments:
+
+-   **k**: `[in] int` input value.
+-   **n**: `[in] int` number of trials.
+-   **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_binomial_cdf( const int64_t k, const int64_t n, const double p );
+```
+
+</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/binomial/cdf.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <stdint.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 ) {
+    int64_t k;
+    int64_t n;
+    double p;
+    double y;
+    int i;
+    
+    for ( i = 0; i < 25; i++ ) {
+        k = (int64_t)random_uniform(0.0,10.0); // Random integer between 0 and 10
+        n = k+(int64_t)random_uniform(0.0,10.0); // Random integer between k and 20
+        p = random_uniform(0.0,1.0); // Random double between 0.0 and 1.0
+        y = stdlib_base_dists_binomial_cdf( k, n, p );
+        printf( "k: %d, n: %d, p: %lf, F(k;n,p): %lf\n", k, n, p, 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/binomial/cdf/benchmark/benchmark.js

@@ -21,64 +21,74 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var ceil = require( '@stdlib/math/base/special/ceil' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var randu = require( '@stdlib/random/base/randu' );
+var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
 
 
 // MAIN //
 
-bench( pkg, function benchmark( b ) {
+bench(pkg, function benchmark(b) {
+	var len;
+	var k;
 	var n;
 	var p;
-	var x;
 	var y;
 	var i;
 
+	len = 100;
+	k = new Float64Array(len);
+	n = new Float64Array(len);
+	p = new Float64Array(len);
+	for (i = 0; i < len; i++) {
+		k[i] = floor(randu() * 11);
+		n[i] = floor(randu() * 21);
+		p[i] = randu();
+	}
+
 	b.tic();
-	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 100.0;
-		n = ceil( randu()*100.0 );
-		p = randu();
-		y = cdf( x, n, p );
-		if ( isnan( y ) ) {
-			b.fail( 'should not return NaN' );
+	for (i = 0; i < b.iterations; i++) {
+		y = cdf(k[i % len], n[i % len], p[i % len]);
+		if (isnan(y)) {
+			b.fail('should not return NaN');
 		}
 	}
 	b.toc();
-	if ( isnan( y ) ) {
-		b.fail( 'should not return NaN' );
+	if (isnan(y)) {
+		b.fail('should not return NaN');
 	}
-	b.pass( 'benchmark finished' );
+	b.pass('benchmark finished');
 	b.end();
 });
 
-bench( pkg+':factory', function benchmark( b ) {
+bench(pkg + ':factory', function benchmark(b) {
 	var mycdf;
 	var n;
 	var p;
-	var x;
+	var k;
 	var y;
 	var i;
 
-	n = 80;
-	p = 0.4;
-	mycdf = cdf.factory( n, p );
+	n = 10;
+	p = 0.5;
+	mycdf = cdf.factory(n, p);
+	k = uniform(100, 0, n);
 
 	b.tic();
-	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 80.0;
-		y = mycdf( x );
-		if ( isnan( y ) ) {
-			b.fail( 'should not return NaN' );
+	for (i = 0; i < b.iterations; i++) {
+		y = mycdf(k[i % k.length]);
+		if (isnan(y)) {
+			b.fail('should not return NaN');
 		}
 	}
 	b.toc();
-	if ( isnan( y ) ) {
-		b.fail( 'should not return NaN' );
+	if (isnan(y)) {
+		b.fail('should not return NaN');
 	}
-	b.pass( 'benchmark finished' );
+	b.pass('benchmark finished');
 	b.end();
 });