chore: changes from code review

Author: Neerajpathak07

lib/node_modules/@stdlib/repl/README.md

@@ -1329,9 +1329,9 @@ Out[2]: [ 'stdlib-ansi-basic', 'myTheme' ]
 
 Starts a tutorial.
 
-```text
-In [1]: var id = tutorial( 'repl' );
-```
+    ```text
+    In [1]: var id = tutorial( 'repl' );
+    ```
 
 The function accepts the following `options`:
 

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

@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2024 The Stdlib Authors.
+Copyright (c) 2018 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.
@@ -167,7 +167,7 @@ double y = stdlib_base_dists_bernoulli_cdf( 0.5, 0.5 );
 The function accepts the following arguments
 
 -   **x**: `[in] double` input value.
--   **p**: `[in] double` success probability
+-   **p**: `[in] double` success probability.
 
 ```c
 double stdlib_base_dists_bernoulli_cdf( const double x, const double p );

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

@@ -81,7 +81,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mycdf( x[ i%100 ] );
+		y = mycdf( x[ i % len ] );
 
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

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

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the cumulative distribution function (CDF) for a Bernoulli distribution with success probability `p` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {Probability} p - success probability
 * @returns {Probability} evaluated CDF

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

@@ -24,32 +24,11 @@
 *
 * @param x    input value
 * @param p    success probability
-* @returns    evaluated CDF
+* @returns    expected value
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_cdf( 0.5, 0.5 );
 * // returns ~0.5
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_cdf( 2.0, 0.1 );
-* // returns ~1.0
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_cdf( -1.0, 0.3 );
-* // returns ~0.0
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_cdf( NaN, 0.5 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_bernoulli_cdf( 0.0, NaN );
-* // returns NaN
-*
-* @example
-* // Invalid probability
-* double y = stdlib_base_dists_bernoulli_cdf( 0.5, 1.4 );
-* // returns NaN
 */
 double stdlib_base_dists_bernoulli_cdf( const double x, const double p ) {
 	if (