chore: minor clean-up

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Author: Planeshifter

lib/node_modules/@stdlib/_tools/github/create-token/lib/request.js

@@ -115,7 +115,7 @@ function request( opts, data, clbk ) {
 		body += chunk;
 	}
 	/**
- 	* Event listener invoked upon a response end.
+	* Event listener invoked upon a response end.
 	*
 	* @private
 	* @returns {void}

lib/node_modules/@stdlib/_tools/remark/plugins/remark-svg-equations/lib/transformer.js

@@ -169,8 +169,8 @@ function transformer( tree, file, clbk ) {
 		* <!-- <equation class="equation" label="eq:triangular_root" align="center" raw="n = \frac{\sqrt{8x+1} - 1}{2}" alt="Triangular root formula."> -->
 		*
 		* <div class="equation" align="center" data-raw-text="n = \frac{\sqrt{8x+1} - 1}{2}" data-equation="eq:triangular_root">
-    	*     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
-    	*     <br>
+		*     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
+		*     <br>
 		* </div>
 		*
 		* <!-- </equation> -->
@@ -191,8 +191,8 @@ function transformer( tree, file, clbk ) {
 		* \`\`\`
 		*
 		* <!-- <div class="equation" align="center" data-raw-text="n = \frac{\sqrt{8x+1} - 1}{2}" data-equation="eq:triangular_root">
-    	*     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
-    	*     <br>
+		*     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
+		*     <br>
 		* </div> -->
 		*
 		* <!-- </equation> -->

lib/node_modules/@stdlib/array/base/take-map/lib/index.js

@@ -29,8 +29,8 @@
 * var x = [ 1, 2, 3, 4 ];
 *
 * function mapFunction( val ) {
-    return val;
-}
+*     return val;
+* }
 *
 * var indices = [ 0, 0, 1, 1, 3, 3 ];
 * var y = takeMap( x, indices, 'throw', mapFunction );
@@ -45,8 +45,8 @@
 * var indices = [ 0, 0, 1, 1, 3, 3 ];
 *
 * function clbk( val ) {
-    return val;
-}
+*     return val;
+* }
 *
 * var arr = takeMap.assign( x, indices, 'throw', out, 1, 0, mapFunction );
 * // returns [ 1, 1, 2, 2, 4, 4 ]

lib/node_modules/@stdlib/math/base/special/csch/lib/index.js

@@ -25,18 +25,18 @@
 *
 * @example
 * var csch = require( '@stdlib/math/base/special/csch' );
- *
- * var v = csch( 0.0 );
- * // returns Infinity
- *
- * v = csch( 2.0 );
- * // returns ~0.2757
- *
- * v = csch( -2.0 );
- * // returns ~-0.2757
- *
- * v = csch( NaN );
- * // returns NaN
+*
+* var v = csch( 0.0 );
+* // returns Infinity
+*
+* v = csch( 2.0 );
+* // returns ~0.2757
+*
+* v = csch( -2.0 );
+* // returns ~-0.2757
+*
+* v = csch( NaN );
+* // returns NaN
 */
 
 // MODULES //

lib/node_modules/@stdlib/regexp/decimal-number/lib/regexp.js

@@ -42,8 +42,7 @@ var reDecimalNumber = require( './main.js' );
 * -   `[0-9]+`
 *     -   match the characters `[0-9]` one or more times
 *
-*
- @constant
+* @constant
 * @type {RegExp}
 * @default /[-+]{0,1}[0-9]*\.[0-9]+/
 */

lib/node_modules/@stdlib/regexp/decimal-number/lib/regexp_capture.js

@@ -45,8 +45,7 @@ var reDecimalNumber = require( './main.js' );
 * -   `[0-9]+`
 *     -   match the characters `[0-9]` one or more times
 *
-*
- @constant
+* @constant
 * @type {RegExp}
 * @default /([-+]{0,1}[0-9]*\.[0-9]+)/
 */

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

@@ -109,7 +109,7 @@ y = cdf( 2.0, 0.5, 0.0 );
 
 #### cdf.factory( d1, d2 )
 
-Returns a function for evaluating the [cumulative distribution function][cdf] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns a function for evaluating the [cumulative distribution function][cdf] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var mycdf = cdf.factory( 10.0, 2.0 );

lib/node_modules/@stdlib/stats/base/dists/f/entropy/README.md

@@ -59,7 +59,7 @@ var entropy = require( '@stdlib/stats/base/dists/f/entropy' );
 
 #### entropy( d1, d2 )
 
-Returns the [differential entropy][entropy] of a [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
+Returns the [differential entropy][entropy] of an [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
 
 ```javascript
 var v = entropy( 4.0, 7.0 );
@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_f_entropy( d1, d2 )
 
-Evaluates the [differential entropy][entropy] of a [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
+Evaluates the [differential entropy][entropy] of an [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
 
 ```c
 double out = stdlib_base_dists_f_entropy( 3.0, 7.0 );

lib/node_modules/@stdlib/stats/base/dists/f/mean/README.md

@@ -57,7 +57,7 @@ var mean = require( '@stdlib/stats/base/dists/f/mean' );
 
 #### mean( d1, d2 )
 
-Returns the [expected value][expected-value] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns the [expected value][expected-value] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var v = mean( 4.0, 5.0 );
@@ -170,7 +170,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_f_mean( d1, d2 )
 
-Evaluates the [expected value][expected-value] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Evaluates the [expected value][expected-value] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```c
 double out = stdlib_base_dists_f_mean( 3.0, 5.0 );

lib/node_modules/@stdlib/stats/base/dists/f/mode/README.md

@@ -59,7 +59,7 @@ var mode = require( '@stdlib/stats/base/dists/f/mode' );
 
 #### mode( d1, d2 )
 
-Returns the [mode][mode] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns the [mode][mode] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var v = mode( 4.0, 5.0 );
@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_f_mode( d1, d2 )
 
-Evaluates the [mode][mode] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Evaluates the [mode][mode] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```c
 double out = stdlib_base_dists_f_mode( 3.0, 5.0 );

lib/node_modules/@stdlib/stats/base/dists/f/pdf/README.md

@@ -103,7 +103,7 @@ y = pdf( 2.0, 1.0, -1.0 );
 
 #### pdf.factory( d1, d2 )
 
-Returns a `function` for evaluating the [PDF][pdf] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns a `function` for evaluating the [PDF][pdf] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var mypdf = pdf.factory( 6.0, 7.0 );

lib/node_modules/@stdlib/stats/base/dists/f/quantile/README.md

@@ -113,7 +113,7 @@ y = quantile( 0.4, 1.0, 0.0 );
 
 #### quantile.factory( d1, d2 )
 
-Returns a function for evaluating the quantile function of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns a function for evaluating the quantile function of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var myquantile = quantile.factory( 10.0, 2.0 );

lib/node_modules/@stdlib/stats/base/dists/f/skewness/README.md

@@ -59,7 +59,7 @@ var skewness = require( '@stdlib/stats/base/dists/f/skewness' );
 
 #### skewness( d1, d2 )
 
-Returns the [skewness][skewness] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns the [skewness][skewness] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var v = skewness( 4.0, 7.0 );
@@ -175,7 +175,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_f_skewness( d1, d2 )
 
-Evaluates the [skewness][skewness] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Evaluates the [skewness][skewness] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```c
 double out = stdlib_base_dists_f_skewness( 3.0, 7.0 );

lib/node_modules/@stdlib/stats/base/dists/f/stdev/README.md

@@ -59,7 +59,7 @@ var stdev = require( '@stdlib/stats/base/dists/f/stdev' );
 
 #### stdev( d1, d2 )
 
-Returns the [standard deviation][standard-deviation] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns the [standard deviation][standard-deviation] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var v = stdev( 4.0, 5.0 );

lib/node_modules/@stdlib/stats/base/dists/f/variance/README.md

@@ -59,7 +59,7 @@ var variance = require( '@stdlib/stats/base/dists/f/variance' );
 
 #### variance( d1, d2 )
 
-Returns the [variance][variance] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Returns the [variance][variance] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```javascript
 var v = variance( 4.0, 5.0 );
@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_f_variance( d1, d2 )
 
-Evaluates the [variance][variance] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
+Evaluates the [variance][variance] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
 
 ```c
 double out = stdlib_base_dists_f_variance( 3.0, 5.0 );

lib/node_modules/@stdlib/stats/base/dists/normal/stdev/README.md

@@ -200,6 +200,14 @@ int main( void ) {
 
 <!-- /.c -->
 
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">
@@ -219,11 +227,3 @@ int main( void ) {
 </section>
 
 <!-- /.links -->
-
-<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
-
-<section class="references">
-
-</section>
-
-<!-- /.references -->

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/README.md

@@ -223,8 +223,8 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( 0.0, 10.0 ) + a;
-        c = a + (b - a) * random_uniform( 0.0, 1.0 ); // mode between a and b
+        b = random_uniform( a, 10.0 + a );
+        c = random_uniform( a, b ); // mode between a and b
         y = stdlib_base_dists_triangular_mean( a, b, c );
         printf( "a: %lf, b: %lf, c: %lf, E(X;a,b,c): %lf\n", a, b, c, y );
     }

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/benchmark/c/benchmark.c

@@ -75,13 +75,15 @@ static double tic( void ) {
 }
 
 /**
-* Generates a random number on the interval [0,20).
+* Generates a random number on the interval [min,max).
 *
-* @return random number
+* @param min    minimum value (inclusive)
+* @param max    maximum value (exclusive)
+* @return       random number
 */
-static double rand_double( void ) {
-	int r = rand();
-	return 20.0*(double)r / ( (double)RAND_MAX + 1.0 );
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
 }
 
 /**
@@ -96,11 +98,11 @@ static double benchmark( void ) {
 	double t;
 	int i;
 
-	// Generate random parameters for the triangular distribution
+	// Generate random parameters for the triangular distribution:
 	for ( i = 0; i < 100; i++ ) {
-		a[ i ] = rand_double() * 20.0;  // Lower bound
-		b[ i ] = ( rand_double() * 20.0 ) + a[ i ];  // Upper bound
-		c[ i ] = ( rand_double() * ( b[i] - a[i] ) ) + a[i];  // Mode
+		a[ i ] = random_uniform( 0.0, 20.0 ); // Lower bound
+		b[ i ] = random_uniform( a[i], a[i]+20.0 ); // Upper bound
+		c[ i ] = random_uniform( a[i], b[i] ); // Mode
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/examples/c/example.c

@@ -34,8 +34,8 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( 0.0, 10.0 ) + a;
-		c = a + (b - a) * random_uniform( 0.0, 1.0 ); // mode between a and b
+		b = random_uniform( a, a+10.0 );
+		c = random_uniform( a, b ); // mode between a and b
 		y = stdlib_base_dists_triangular_mean( a, b, c );
 		printf( "a: %lf, b: %lf, c: %lf, E(X;a,b,c): %lf\n", a, b, c, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/lib/native.js

@@ -40,7 +40,7 @@ var addon = require( './../src/addon.node' );
 *
 * @example
 * var v = mean( 2.0, 8.0, 4.0 );
-* // returns 4.666666666666667
+* // returns ~4.667
 *
 * @example
 * var v = mean( -1.0, 5.0, 6.0 );

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/src/main.c

@@ -20,12 +20,12 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Evaluates the expected value (mean) of a triangular distribution with lower bound a, upper bound b and mode (peak) c.
+* Returns the expected value of a triangular distribution.
 *
-* @param a   lower bound
-* @param b   upper bound
-* @param c   mode (peak)
-* @returns   expected value (mean)
+* @param a   minimum support
+* @param b   maximum support
+* @param c   mode
+* @returns   expected value
 *
 * @example
 * double v = mean( 0.0, 10.0, 5.0 );