chore: minor clean-up

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Author: Planeshifter

docs/git-notes/db1d12e38135bf8e67b497e80e9f352e1bcb25cb.txt

@@ -0,0 +1,11 @@
+---
+type: amend-message
+---
+feat: add C implementation for `stats/base/dists/weibull/mean`
+
+PR-URL: #4052
+Closes: #3843
+
+Co-authored-by: Philipp Burckhardt <[email protected]>
+Reviewed-by: Philipp Burckhardt <[email protected]>
+Signed-off-by: Philipp Burckhardt <[email protected]>

lib/node_modules/@stdlib/number/float32/base/exponent/examples/c/example.c

@@ -22,12 +22,12 @@
 #include <inttypes.h>
 
 int main( void ) {
-    float x[] = { 4.0f, 0.0f, -0.0f, 1.0f, -1.0f, 3.14f, -3.14f, 1.0e38f, -1.0e38f, 1.0f/0.0f, -1.0f/0.0f, 0.0f/0.0f };
+	const float x[] = { 4.0f, 0.0f, -0.0f, 1.0f, -1.0f, 3.14f, -3.14f, 1.0e38f, -1.0e38f, 1.0f/0.0f, -1.0f/0.0f, 0.0f/0.0f };
 
-    int32_t out;
-    int i;
-    for ( i = 0; i < 12; i++ ) {
-        out = stdlib_base_float32_exponent( x[ i ] );
-        printf( "%f => out: %" PRId32 "\n", x[ i ], out );
-    }
+	int32_t out;
+	int i;
+	for ( i = 0; i < 12; i++ ) {
+		out = stdlib_base_float32_exponent( x[ i ] );
+		printf( "%f => out: %" PRId32 "\n", x[ i ], out );
+	}
 }

lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/test/test.js

@@ -77,7 +77,7 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test
 	t.end();
 });
 
-tape( 'the function returns the excess entropy of a Laplace distribution', function test( t ) {
+tape( 'the function returns the differential entropy of a Laplace distribution', function test( t ) {
 	var expected;
 	var delta;
 	var tol;

lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/test/test.native.js

@@ -86,7 +86,7 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio
 	t.end();
 });
 
-tape( 'the function returns the excess entropy of a Laplace distribution', opts, function test( t ) {
+tape( 'the function returns the differential entropy of a Laplace distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;

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

@@ -169,7 +169,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_triangular_median( a, b, c )
 
-Evaluates the [median][median] for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
+Returns the [median][median] of a [triangular][triangular-distribution] distribution with parameters `a` (minimum support), `b` (maximum support), and `c` (mode).
 
 ```c
 double out = stdlib_base_dists_triangular_median( 0.0, 1.0, 0.8 );
@@ -178,8 +178,8 @@ double out = stdlib_base_dists_triangular_median( 0.0, 1.0, 0.8 );
 
 The function accepts the following arguments:
 
--   **a**: `[in] double` lower limit.
--   **b**: `[in] double` upper limit.
+-   **a**: `[in] double` minimum support.
+-   **b**: `[in] double` maximum support.
 -   **c**: `[in] double` mode.
 
 ```c

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

@@ -32,9 +32,9 @@ var pkg = require( './../package.json' ).name;
 
 // VARIABLES //
 
-var pdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var median = tryRequire( resolve( __dirname, './../lib/native.js' ) );
 var opts = {
-	'skip': ( pdf instanceof Error )
+	'skip': ( median instanceof Error )
 };
 
 
@@ -60,7 +60,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = pdf( min[ i % len ], max[ i % len ], mode[ i % len ] );
+		y = median( min[ i % len ], max[ i % len ], mode[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the median for a triangular distribution with minimum support `a` and maximum support `b` with mode `c`.
+* Returns the median of a triangular distribution.
 */
 double stdlib_base_dists_triangular_median( const double a, const double b, const double c );
 

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

@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_weibull_mean( k, lambda )
 
-Evaluates the mean for an weibull distribution.
+Returns the [expected value][expected-value] of a [Weibull][weibull-distribution] distribution with parameters `k` (shape parameter) and `lambda` (scale parameter).
 
 ```c
 double out = stdlib_base_dists_weibull_mean( 4.0, 12.0 );
@@ -182,10 +182,10 @@ double out = stdlib_base_dists_weibull_mean( 4.0, 12.0 );
 The function accepts the following arguments:
 
 -   **k**: `[in] double` shape parameter.
--   **λ**: `[in] double` scale parameter.
+-   **lambda**: `[in] double` scale parameter.
 
 ```c
-double stdlib_base_dists_weibull_mean( const double k, const double λ );
+double stdlib_base_dists_weibull_mean( const double k, const double lambda );
 ```
 
 </section>

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

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the mean of an weibull distribution.
+* Returns the expected value of a Weibull distribution.
 */
 double stdlib_base_dists_weibull_mean( const double k, const double lambda );