fix: changes in example and other files

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Author: 0PrashantYadav0

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

@@ -161,7 +161,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_geometric_cdf( x, p )
 
-Evaluates evaluating the [cumulative distribution function][cdf] of a [geometric][geometric-distribution] distribution with success probability `p`.
+Evaluates the [cumulative distribution function][cdf] of a [geometric][geometric-distribution] distribution with success probability `p`.
 
 ```c
 double out = stdlib_base_dists_geometric_cdf( 2.0, 0.5 );
@@ -197,7 +197,6 @@ double stdlib_base_dists_geometric_cdf( const double x, const double p );
 
 ```c
 #include "stdlib/stats/base/dists/geometric/cdf.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -215,7 +214,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         x = random_uniform( 0.0, 40.0 );
-        p = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_geometric_cdf( x, p );
         printf( "x: %lf, p: %lf, F(x;p): %lf\n", x, p, y );
     }

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

@@ -24,7 +24,6 @@ var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
 
@@ -43,7 +42,7 @@ bench( pkg, function benchmark( b ) {
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i % len ] = randu()*40.0;
-		p[ i % len ] = ( randu()*1.0 ) + EPS;
+		p[ i % len ] = ( randu()*1.0 );
 	}
 
 	b.tic();

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

@@ -25,7 +25,6 @@ var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -52,7 +51,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i % len ] = randu()*40.0;
-		p[ i % len ] = ( randu()*1.0 ) + EPS;
+		p[ i % len ] = ( randu()*1.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/geometric/cdf/benchmark/c/benchmark.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/geometric/cdf.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -102,7 +101,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( 0.0, 40.0 );
-		p[ i ] = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		p[ i ] = random_uniform( 0.0, 1.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/geometric/cdf/examples/c/example.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/geometric/cdf.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -35,7 +34,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		x = random_uniform( 0.0, 40.0 );
-		p = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_geometric_cdf( x, p );
 		printf( "x: %lf, p: %lf, F(x;p): %lf\n", x, p, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/geometric/cdf/include/stdlib/stats/base/dists/geometric/cdf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the cumulative distribution function (CDF) for the geometric distribution with probability parameter p.
+* Evaluates the cumulative distribution function (CDF) for the geometric distribution with success probability `p` at a value `x`.
 */
 double stdlib_base_dists_geometric_cdf( const double x, const double p );
 

lib/node_modules/@stdlib/stats/base/dists/geometric/cdf/manifest.json

@@ -58,7 +58,6 @@
         "libpath": [],
         "dependencies": [
           "@stdlib/math/base/assert/is-nan",
-          "@stdlib/constants/float64/eps",
           "@stdlib/constants/float64/pinf",
           "@stdlib/math/base/special/floor",
           "@stdlib/math/base/special/pow"
@@ -77,7 +76,6 @@
         "libpath": [],
         "dependencies": [
           "@stdlib/math/base/assert/is-nan",
-          "@stdlib/constants/float64/eps",
           "@stdlib/constants/float64/pinf",
           "@stdlib/math/base/special/floor",
           "@stdlib/math/base/special/pow"

lib/node_modules/@stdlib/stats/base/dists/geometric/cdf/src/main.c

@@ -21,54 +21,32 @@
 #include "stdlib/constants/float64/pinf.h"
 #include "stdlib/math/base/special/floor.h"
 #include "stdlib/math/base/special/pow.h"
-#include <math.h>
 
 /**
 * Evaluates the cumulative distribution function (CDF) for a geometric distribution with success probability `p` at a value `x`.
 *
-* @param {number} x - input value
-* @param {Probability} p - success probability
-* @returns {Probability} evaluated CDF
+* @param x   input value
+* @param p   success probability
+* @returns   evaluated CDF
 *
 * @example
-* var y = cdf( 2.0, 0.5 );
+* double y = stdlib_base_dists_geometric_cdf( 2.0, 0.5 );
 * // returns 0.875
-*
-* @example
-* var y = cdf( 2.0, 0.1 );
-* // returns ~0.271
-*
-* @example
-* var y = cdf( -1.0, 0.5 );
-* // returns 0.0
-*
-* @example
-* var y = cdf( NaN, 0.5 );
-* // returns NaN
-*
-* @example
-* var y = cdf( 0.0, NaN );
-* // returns NaN
-*
-* @example
-* // Invalid probability
-* var y = cdf( 2.0, 1.4 );
-* // returns NaN
 */
 double stdlib_base_dists_geometric_cdf( const double x, const double p ) {
-    if (
-        stdlib_base_is_nan( x ) ||
-        stdlib_base_is_nan( p ) ||
-        p < 0.0 ||
-        p > 1.0
-    ) {
-        return 0.0/0.0; // NaN
-    }
-    if ( x < 0.0 ) {
-        return 0.0;
-    }
+	if (
+		stdlib_base_is_nan( x ) ||
+		stdlib_base_is_nan( p ) ||
+		p < 0.0 ||
+		p > 1.0
+	) {
+		return 0.0/0.0; // NaN
+	}
+	if ( x < 0.0 ) {
+		return 0.0;
+	}
 	if( x == STDLIB_CONSTANT_FLOAT64_PINF ){
 		return 1.0;
 	}
-    return 1.0 - stdlib_base_pow( 1.0 - p, stdlib_base_floor( x ) + 1.0 );
+	return 1.0 - stdlib_base_pow( 1.0 - p, stdlib_base_floor( x ) + 1.0 );
 }