fix: correct function names, documentation, and code style issues

Author: Planeshifter

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

@@ -181,12 +181,12 @@ for ( i = 0; i < 10; i++ ) {
 #include "stdlib/stats/base/dists/weibull/quantile.h"
 ```
 
-#### stdlib_base_weibull_quantile( p, k, lambda )
+#### stdlib_base_dists_weibull_quantile( p, k, lambda )
 
 Evaluates the [quantile function][quantile-function] for a [Weibull][weibull-distribution] distribution with [shape parameter][shape] `k` and [scale parameter][scale] `lambda`.
 
 ```c
-double out = stdlib_base_weibull_quantile( 0.5, 1.0, 1.0 );
+double out = stdlib_base_dists_weibull_quantile( 0.5, 1.0, 1.0 );
 // returns ~0.693
 ```
 
@@ -197,7 +197,7 @@ The function accepts the following arguments:
 -   **lambda**: `[in] double` scale parameter.
 
 ```c
-double stdlib_base_weibull_quantile( const double p, const double k, const double lambda );
+double stdlib_base_dists_weibull_quantile( const double p, const double k, const double lambda );
 ```
 
 </section>
@@ -239,7 +239,7 @@ int main( void ) {
         p = random_uniform( 0.0, 1.0 );
         k = random_uniform( 0.1, 5.0 );
         lambda = random_uniform( 0.1, 5.0 );
-        y = stdlib_base_weibull_quantile( p, k, lambda );
+        y = stdlib_base_dists_weibull_quantile( p, k, lambda );
         printf( "p: %lf, k: %lf, lambda: %lf, Q(p;k,lambda): %lf\n", p, k, lambda, y );
     }
 }

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 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 pkg = require( './../package.json' ).name;
@@ -52,9 +52,9 @@ bench( pkg + '::native', opts, function benchmark( b ) {
 	k = new Float64Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-		k[ i ] = ( randu() * 4.9 ) + 0.1;
-		lambda[ i ] = ( randu() * 4.9 ) + 0.1;
+		p[ i ] = uniform( 0.0, 1.0 );
+		k[ i ] = uniform( 0.1, 5.0 );
+		lambda[ i ] = uniform( 0.1, 5.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/benchmark/c/benchmark.c

@@ -108,7 +108,7 @@ static double benchmark( void ) {
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_weibull_quantile( p[ i % 100 ], k[ i % 100 ], lambda[ i % 100 ] );
+		y = stdlib_base_dists_weibull_quantile( p[ i % 100 ], k[ i % 100 ], lambda[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/examples/c/example.c

@@ -36,7 +36,8 @@ int main( void ) {
 		p = random_uniform( 0.0, 1.0 );
 		k = random_uniform( 0.1, 5.0 );
 		lambda = random_uniform( 0.1, 5.0 );
-		y = stdlib_base_weibull_quantile( p, k, lambda );
+		y = stdlib_base_dists_weibull_quantile( p, k, lambda );
 		printf( "p: %lf, k: %lf, lambda: %lf, Q(p;k,lambda): %lf\n", p, k, lambda, y );
 	}
+	return 0;
 }

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/include/stdlib/stats/base/dists/weibull/quantile.h

@@ -29,7 +29,7 @@ extern "C" {
 /**
 * Evaluates the quantile function for a Weibull distribution with shape parameter `k` and scale parameter `lambda` at a probability `p`.
 */
-double stdlib_base_weibull_quantile( const double p, const double k, const double lambda );
+double stdlib_base_dists_weibull_quantile( const double p, const double k, const double lambda );
 
 #ifdef __cplusplus
 }

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/lib/main.js

@@ -28,11 +28,11 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 // MAIN //
 
 /**
-* Evaluates the quantile function for a Weibull distribution with scale parameter `k` and shape parameter `lambda` at a probability `p`.
+* Evaluates the quantile function for a Weibull distribution with shape parameter `k` and scale parameter `lambda` at a probability `p`.
 *
 * @param {Probability} p - input value
-* @param {PositiveNumber} k - scale parameter
-* @param {PositiveNumber} lambda - shape parameter
+* @param {PositiveNumber} k - shape parameter
+* @param {PositiveNumber} lambda - scale parameter
 * @returns {number} evaluated quantile function
 *
 * @example

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/src/addon.c

@@ -19,5 +19,4 @@
 #include "stdlib/math/base/napi/ternary.h"
 #include "stdlib/stats/base/dists/weibull/quantile.h"
 
-// cppcheck-suppress shadowFunction
-STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_weibull_quantile )
+STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_dists_weibull_quantile )

lib/node_modules/@stdlib/stats/base/dists/weibull/quantile/src/main.c

@@ -16,10 +16,10 @@
 * limitations under the License.
 */
 
+#include "stdlib/stats/base/dists/weibull/quantile.h"
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/special/ln.h"
 #include "stdlib/math/base/special/pow.h"
-#include "stdlib/stats/base/dists/weibull/quantile.h"
 
 /**
 * Evaluates the quantile function for a Weibull distribution with shape parameter `k` and scale parameter `lambda` at a probability `p`.
@@ -30,10 +30,10 @@
 * @return        evaluated quantile
 *
 * @example
-* double y = stdlib_base_weibull_quantile( 0.5, 1.0, 1.0 );
+* double y = stdlib_base_dists_weibull_quantile( 0.5, 1.0, 1.0 );
 * // returns ~0.693
 */
-double stdlib_base_weibull_quantile( const double p, const double k, const double lambda ) {
+double stdlib_base_dists_weibull_quantile( const double p, const double k, const double lambda ) {
 	if ( stdlib_base_is_nan( k ) || stdlib_base_is_nan( lambda ) || stdlib_base_is_nan( p ) || k <= 0.0 || lambda <= 0.0 || p < 0.0 || p > 1.0 ) {
 		return 0.0 / 0.0; // NaN
 	}