chore: 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: passed
  - task: lint_package_json
    status: na
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    status: na
  - task: lint_javascript_src
    status: na
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  - task: lint_javascript_tests
    status: passed
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  - task: lint_python
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  - task: lint_c_src
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  - task: lint_c_examples
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  - task: lint_c_tests_fixtures
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  - task: lint_typescript_declarations
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  - task: lint_license_headers
    status: passed
---

Author: kgryte

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

@@ -172,7 +172,7 @@ The function accepts the following arguments:
 -   **b**: `[in] double` scale parameter.
 
 ```c
-double stdlib_base_dists_laplace_median( const double x, const double a, const double b );
+double stdlib_base_dists_laplace_median( const double mu, const double b );
 ```
 
 </section>
@@ -220,6 +220,12 @@ int main( void ) {
 
 </section>
 
+<!-- /.examples -->
+
+</section>
+
+<!-- /.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">

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

@@ -30,9 +30,9 @@ var NINF = require( '@stdlib/constants/float64/ninf' );
 
 // VARIABLES //
 
-var mean = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var median = tryRequire( resolve( __dirname, './../lib/native.js' ) );
 var opts = {
-	'skip': ( mean instanceof Error )
+	'skip': ( median instanceof Error )
 };
 
 
@@ -45,15 +45,15 @@ var data = require( './fixtures/julia/data.json' );
 
 tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof mean, 'function', 'main export is a function' );
+	t.strictEqual( typeof median, 'function', 'main export is a function' );
 	t.end();
 });
 
 tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
-	var v = mean( NaN, 1.0 );
+	var v = median( NaN, 1.0 );
 	t.equal( isnan( v ), true, 'returns NaN' );
 
-	v = mean( 1.0, NaN );
+	v = median( 1.0, NaN );
 	t.equal( isnan( v ), true, 'returns NaN' );
 
 	t.end();
@@ -62,25 +62,25 @@ tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, f
 tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
-	y = mean( 2.0, 0.0 );
+	y = median( 2.0, 0.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( 2.0, -1.0 );
+	y = median( 2.0, -1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( 2.0, -1.0 );
+	y = median( 2.0, -1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( 1.0, NINF );
+	y = median( 1.0, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( PINF, NINF );
+	y = median( PINF, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( NINF, NINF );
+	y = median( NINF, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = mean( NaN, NINF );
+	y = median( NaN, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
 	t.end();
@@ -97,7 +97,7 @@ tape( 'the function returns the median of a Laplace distribution', opts, functio
 	b = data.b;
 	mu = data.mu;
 	for ( i = 0; i < expected.length; i++ ) {
-		y = mean( mu[i], b[i] );
+		y = median( mu[i], b[i] );
 		t.equal( y, expected[i], 'mu: '+mu[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();