chore: updated random generation function

---
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: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - 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: 0PrashantYadav0

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

@@ -134,7 +134,7 @@ y = mylogpdf( 12.0 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var logpdf = require( '@stdlib/stats/base/dists/triangular/logpdf' );
 
 var a;
@@ -145,10 +145,10 @@ var y;
 var i;
 
 for ( i = 0; i < 25; i++ ) {
-    x = randu() * 30.0;
-    a = randu() * 10.0;
-    b = a + (randu() * 40.0);
-    c = a + ((b-a) * randu());
+    x = uniform( 0.0, 30.0 );
+    a = uniform( 0.0, 10.0 );
+    b = a + ( uniform( 0.0, 40.0 ) );
+    c = uniform( a, b );
     y = logpdf( x, a, b, c );
     console.log( 'x: %d, a: %d, b: %d, c: %d, ln(f(x;a,b,c)): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), y.toFixed( 4 ) );
 }
@@ -190,11 +190,7 @@ for ( i = 0; i < 25; i++ ) {
 
 #### stdlib_base_dists_triangular_logpdf( x, a, b, c )
 
-<<<<<<< HEAD
-Evaluates the natural logarithm of the [probability density function][pdf] (PDF) for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
-=======
 Evaluates the natural logarithm of the [probability density function][pdf] (PDF) for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit), and `c` (mode).
->>>>>>> develop
 
 ```c
 double y = stdlib_base_dists_triangular_logpdf( 0.5, -1.0, 1.0, 0.0 );
@@ -254,11 +250,7 @@ int main( void ) {
         x = random_uniform( 0.0, 30.0 );
         a = random_uniform( 0.0, 10.0 );
         b = random_uniform( a + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
-<<<<<<< HEAD
-        c = a + random_uniform( 0.0, b - a );
-=======
         c = random_uniform( a, b );
->>>>>>> develop
         y = stdlib_base_dists_triangular_logpdf( x, a, b, c );
         printf( "x: %lf, a: %lf, b: %lf, c: %lf, ln(f(x;a,b,c)): %lf\n", x, a, b, c, y );
     }

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

@@ -106,11 +106,7 @@ static double benchmark( void ) {
 		x[ i ] = random_uniform( 0.0, 30.0 );
 		a[ i ] = random_uniform( 0.0, 10.0 );
 		b[ i ] = random_uniform( a[ i ] + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
-<<<<<<< HEAD
-		c[ i ] = a[ i ] + random_uniform( 0.0, b[ i ] - a[ i ] );
-=======
 		c[ i ] = random_uniform( a[ i ], b[ i ] );
->>>>>>> develop
 	}
 
 	t = tic();

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

@@ -38,13 +38,8 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		x = random_uniform( 0.0, 30.0 );
 		a = random_uniform( 0.0, 10.0 );
-<<<<<<< HEAD
-		b = random_uniform( a, 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		c = a + random_uniform( 0.0, b - a );
-=======
 		b = random_uniform( a + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
 		c = random_uniform( a, b );
->>>>>>> develop
 		y = stdlib_base_dists_triangular_logpdf( x, a, b, c );
 		printf( "x: %lf, a: %lf, b: %lf, c: %lf, ln(f(x;a,b,c)): %lf\n", x, a, b, c, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/triangular/logpdf/examples/index.js

@@ -18,7 +18,7 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var logpdf = require( './../lib' );
 
 var a;
@@ -29,10 +29,10 @@ var y;
 var i;
 
 for ( i = 0; i < 25; i++ ) {
-	x = randu() * 30.0;
-	a = randu() * 10.0;
-	b = a + (randu() * 40.0);
-	c = a + ((b-a) * randu());
+	x = uniform( 0.0, 30.0 );
+	a = uniform( 0.0, 10.0 );
+	b = a + ( uniform( 0.0, 40.0 ) );
+	c = uniform( a, b );
 	y = logpdf( x, a, b, c );
 	console.log( 'x: %d, a: %d, b: %d, c: %d, ln(f(x;a,b,c)): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), c.toFixed( 4 ), y.toFixed( 4 ) );
 }

lib/node_modules/@stdlib/stats/base/dists/triangular/logpdf/include/stdlib/stats/base/dists/triangular/logpdf.h

@@ -27,11 +27,7 @@ extern "C" {
 #endif
 
 /**
-<<<<<<< HEAD
-* Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution with lower limit `a` and upper limit `b` and mode `c` at a value `x`.
-=======
 * Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution with lower limit `a`, upper limit `b`, and mode `c` at a value `x`.
->>>>>>> develop
 */
 double stdlib_base_dists_triangular_logpdf( const double x, const double a, const double b, const double c );
 

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

@@ -26,11 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-<<<<<<< HEAD
-* Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution with lower limit `a` and upper limit `b` and mode `c` at a value `x`.
-=======
 * Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution with lower limit `a`, upper limit `b`, and mode `c` at a value `x`.
->>>>>>> develop
 *
 * @private
 * @param {number} x - input value

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

@@ -23,12 +23,7 @@
 #include "stdlib/math/base/special/ln.h"
 
 /**
-<<<<<<< HEAD
-* Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution
-* with parameters `a`, `b`, and `c` at a value `x`.
-=======
 * Evaluates the natural logarithm of the probability density function (PDF) for a triangular distribution with lower limit `a`, upper limit `b`, and mode `c` at a value `x`.
->>>>>>> develop
 *
 * @param x   input value
 * @param a   lower limit
@@ -37,11 +32,7 @@
 * @return    evaluated logPDF
 *
 * @example
-<<<<<<< HEAD
-* double y = stdlib_base_dists_geometric_logpdf( 0.5, -1.0, 1.0, 0.0 );
-=======
 * double y = stdlib_base_dists_triangular_logpdf( 0.5, -1.0, 1.0, 0.0 );
->>>>>>> develop
 * // returns ~-0.693
 */
 double stdlib_base_dists_triangular_logpdf( const double x, const double a, const double b, const double c ) {