chore: minor clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: passed
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/t/mean/benchmark/benchmark.js

@@ -22,8 +22,9 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 var mean = require( './../lib' );
 
@@ -39,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	v = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		v[ i ] = ( randu() * 100.0 ) + 1.0; // degrees of freedom > 1
+		v[ i ] = uniform( 1.0+EPS, 100.0 ); // degrees of freedom > 1
 	}
 
 	b.tic();

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

@@ -23,9 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( '@stdlib/stats/base/dists/t/mean/package.json' ).name;
 
 
@@ -48,7 +49,7 @@ bench( pkg + '::native', opts, function benchmark( b ) {
 	len = 100;
 	v = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		v[ i ] = ( randu() * 100.0 ) + 1.0; // degrees of freedom > 1
+		v[ i ] = uniform( 1.0+EPS, 100.0 ); // degrees of freedom > 1
 	}
 
 	b.tic();

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

@@ -16,8 +16,8 @@
 * limitations under the License.
 */
 
-#include <sys/time.h>
 #include "stdlib/stats/base/dists/t/mean.h"
+#include <sys/time.h>
 #include <math.h>
 #include <stdio.h>
 #include <stdlib.h>
@@ -99,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		v[ i ] = random_uniform( 1.0, 100.0 ); // degrees of freedom > 1
+		v[ i ] = random_uniform( 1.1, 100.0 ); // degrees of freedom > 1
 	}
 
 	t = tic();

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

@@ -16,8 +16,8 @@
 * limitations under the License.
 */
 
-#include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/stats/base/dists/t/mean.h"
+#include "stdlib/math/base/assert/is_nan.h"
 
 /**
 * Evaluates the mean for a t-distribution with degrees of freedom `v`.

lib/node_modules/@stdlib/stats/base/dists/t/mode/benchmark/c/benchmark.c

@@ -16,8 +16,8 @@
 * limitations under the License.
 */
 
-#include <sys/time.h>
 #include "stdlib/stats/base/dists/t/mode.h"
+#include <sys/time.h>
 #include <math.h>
 #include <stdio.h>
 #include <stdlib.h>

lib/node_modules/@stdlib/stats/base/dists/t/mode/include/stdlib/stats/base/dists/t/mode.h

@@ -28,13 +28,6 @@ extern "C" {
 
 /**
 * Evaluates the mode for a Student's t-distribution with degrees of freedom `v`.
-*
-* @param v    degrees of freedom
-* @return     mode
-*
-* @example
-* double y = stdlib_base_dists_t_mode( 5.0 );
-* // returns 0.0
 */
 double stdlib_base_dists_t_mode( const double v );
 

lib/node_modules/@stdlib/stats/base/dists/t/mode/src/main.c

@@ -16,8 +16,8 @@
 * limitations under the License.
 */
 
-#include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/stats/base/dists/t/mode.h"
+#include "stdlib/math/base/assert/is_nan.h"
 
 /**
 * Evaluates the mode for a Student's t-distribution with degrees of freedom `v`.

lib/node_modules/@stdlib/stats/base/dists/triangular/variance/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) );
 }
 
 /**
@@ -98,10 +100,11 @@ static double benchmark( void ) {
 	double t;
 	int i;
 
+	// Generate random parameters for the triangular distribution:
 	for ( i = 0; i < 100; i++ ) {
-		a[ i ] = rand_double() * 20.0;
-		b[ i ] = ( rand_double() * 20.0 ) + a[ i ];
-		c[ i ] = ( rand_double() * ( b[i] - a[i] ) ) + a[i];
+		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/variance/examples/c/example.c

@@ -35,7 +35,7 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
 		b = random_uniform( a, a+10.0 );
-		c = a + (b - a) * random_uniform( 0.0, 1.0 );
+		c = random_uniform( a, b );
 		y = stdlib_base_dists_triangular_variance( a, b, c );
 		printf( "a: %lf, b: %lf, c: %lf, Var(X;a,b,c): %lf\n", a, b, c, y );
 	}