fix: changes in example and indetations

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Author: 0PrashantYadav0

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

@@ -175,7 +175,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_geometric_logpmf( x, p )
 
-Evaluates evaluating the logarithm of the [probability mass function][pmf] (PMF) of a [geometric][geometric-distribution] distribution with success probability `0 <= p <= 1`.
+Evaluates the logarithm of the [probability mass function][pmf] (PMF) of the [geometric][geometric-distribution] distribution with success probability `0 <= p <= 1`.
 
 ```c
 double out = stdlib_base_dists_geometric_logpmf( 4.0, 0.3 );
@@ -212,7 +212,6 @@ double stdlib_base_dists_geometric_logpmf( const double x, const double p );
 ```c
 #include "stdlib/stats/base/dists/geometric/logpmf.h"
 #include "stdlib/math/base/special/round.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -230,7 +229,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         x = stdlib_base_round( random_uniform( 0, 40 ) );
-        p = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_geometric_logpmf( x, p );
         printf( "x: %lf, p: %lf, ln(P(X=x;p)): %lf\n", x, p, y );
     }

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

@@ -25,7 +25,6 @@ var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var round = require( '@stdlib/math/base/special/round' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 var logpmf = require( './../lib' );
 
@@ -44,7 +43,7 @@ bench( pkg, function benchmark( b ) {
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = round( randu()*40.0 );
-		p[ i ] = ( randu()*1.0 ) + EPS;
+		p[ i ] = ( randu()*1.0 );
 	}
 
 	b.tic();

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

@@ -26,7 +26,6 @@ var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var round = require( '@stdlib/math/base/special/round' );
 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;
 
@@ -53,7 +52,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = round( randu()*40.0 );
-		p[ i ] = ( randu()*1.0 ) + EPS;
+		p[ i ] = ( randu()*1.0 );
 	}
 
 	b.tic();

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

@@ -18,7 +18,6 @@
 
 #include "stdlib/stats/base/dists/geometric/logpmf.h"
 #include "stdlib/math/base/special/round.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -103,7 +102,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = stdlib_base_round( 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/logpmf/examples/c/example.c

@@ -18,7 +18,6 @@
 
 #include "stdlib/stats/base/dists/geometric/logpmf.h"
 #include "stdlib/math/base/special/round.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -36,7 +35,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		x = stdlib_base_round( random_uniform( 0, 40 ) );
-		p = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_geometric_logpmf( x, p );
 		printf( "x: %lf, p: %lf, ln(P(X=x;p)): %lf\n", x, p, y );
 	}

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

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

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

@@ -61,7 +61,6 @@
           "@stdlib/math/base/assert/is-nan",
           "@stdlib/math/base/special/ln",
           "@stdlib/math/base/special/round",
-          "@stdlib/constants/float64/eps",
           "@stdlib/constants/float64/ninf"
         ]
       },
@@ -81,7 +80,6 @@
           "@stdlib/math/base/assert/is-nan",
           "@stdlib/math/base/special/ln",
           "@stdlib/math/base/special/round",
-          "@stdlib/constants/float64/eps",
           "@stdlib/constants/float64/ninf"
         ]
       }

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

@@ -26,46 +26,25 @@
 /**
 * Evaluates the logarithm of the probability mass function (PMF) for a geometric distribution with success probability `p` at a value `x`.
 *
-* @param {number} x - input value
-* @param {Probability} p - success probability
-* @returns {NonPositiveNumber} logarithm of PMF
+* @param x  input value
+* @param p  success probability
+* @return   logarithm of PMF
 *
 * @example
-* var y = logpmf( 4.0, 0.3 );
+* double y = stdlib_base_dists_geometric_logpmf( 4.0, 0.3 );
 * // returns ~-2.631
-*
-* @example
-* var y = logpmf( 2.0, 0.7 );
-* // returns ~-2.765
-*
-* @example
-* var y = logpmf( -1.0, 0.5 );
-* // returns -Infinity
-*
-* @example
-* var y = logpmf( 0.0, NaN );
-* // returns NaN
-*
-* @example
-* var y = logpmf( NaN, 0.5 );
-* // returns NaN
-*
-* @example
-* // Invalid success probability:
-* var y = logpmf( 2.0, 1.5 );
-* // returns NaN
 */
 double stdlib_base_dists_geometric_logpmf( 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 (
+		stdlib_base_is_nan( x ) ||
+		stdlib_base_is_nan( p ) ||
+		p < 0.0 ||
+		p > 1.0
+	) {
+		return 0.0/0.0; // NaN
+	}
 	if( stdlib_base_is_nonnegative_integer( x ) ){
 		return stdlib_base_ln( p ) + ( x * stdlib_base_ln( 1.0 - p) );
 	}
-    return STDLIB_CONSTANT_FLOAT64_NINF;
+	return STDLIB_CONSTANT_FLOAT64_NINF;
 }