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stdlib-js · 0PrashantYadav0 · Dec 20, 2024 · Jan 3, 2025 · Jan 3, 2025 · Jan 3, 2025
commit f5418ceea1eb0bcff32523dd0eb36b08dbfd8967
diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/README.md b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/README.md
@@ -148,7 +148,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_geometric_mode( p )
 
-Returns the mode of a geometric distribution.
+Returns the [mode][mode] of a [geometric][geometric-distribution] distribution with success probability `p`.
 
 ```c
 double out = stdlib_base_dists_geometric_mode( 0.5 );

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/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 mode = require( './../lib' );
 
@@ -40,7 +39,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = ( randu() * 1.0 ) + EPS;
+		p[ i ] = ( randu() * 1.0 );
 	}
 
 	b.tic();

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/benchmark/benchmark.native.js
@@ -26,7 +26,6 @@ var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 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;
 
 
@@ -49,7 +48,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	len = 100;
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = ( randu() * 1.0 ) + EPS;
+		p[ i ] = ( randu() * 1.0 );
 	}
 
 	b.tic();

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/benchmark/c/benchmark.c
@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/geometric/mode.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -100,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		p[ i ] = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		p[ i ] = random_uniform( 0.0, 1.0 );
 	}
 
 	t = tic();

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/manifest.json b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/manifest.json
@@ -54,8 +54,7 @@
       "libraries": [],
       "libpath": [],
       "dependencies": [
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/geometric/mode/src/main.c
@@ -35,7 +35,7 @@ double stdlib_base_dists_geometric_mode( const double p ) {
 		p < 0.0 ||
 		p > 1.0
 	) {
-		return 0.0 / 0.0;  // NaN
+		return 0.0 / 0.0; // NaN
 	}
 	return 0.0;
 }