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: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - 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: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/wald/mean/docs/repl.txt

@@ -5,7 +5,7 @@
 
     If provided `NaN` as any argument, the function returns `NaN`.
 
-    If provided `μ <= 0` or `λ <= 0` the function returns `NaN`.
+    If provided `μ <= 0` or `λ <= 0`, the function returns `NaN`.
 
     Parameters
     ----------

lib/node_modules/@stdlib/stats/base/dists/wald/mean/src/addon.c

@@ -19,5 +19,4 @@
 #include "stdlib/stats/base/dists/wald/mean.h"
 #include "stdlib/math/base/napi/binary.h"
 
-// cppcheck-suppress shadowFunction
 STDLIB_MATH_BASE_NAPI_MODULE_DD_D( stdlib_base_dists_wald_mean )

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

@@ -22,13 +22,13 @@
 /**
 * Returns the expected value for a Wald distribution with mean `mu` and shape parameter `lambda`.
 *
-* @param mu    mean
+* @param mu      mean
 * @param lambda  shape parameter
-* @return      expected value
+* @return        expected value
 *
 * @example
-* double y = stdlib_base_dists_wald_mean( 0.0, 1.0 );
-* // returns NaN
+* double y = stdlib_base_dists_wald_mean( 2.0, 1.0 );
+* // returns 2.0
 */
 double stdlib_base_dists_wald_mean( const double mu, const double lambda ) {
 	if (

lib/node_modules/@stdlib/stats/base/dists/wald/mean/test/test.js

@@ -22,7 +22,6 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 var mean = require( './../lib' );
@@ -111,11 +110,7 @@ tape( 'the function returns the expected value of a Wald distribution', function
 	lambda = data.lambda;
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mean( mu[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
-		}
+		t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/wald/mean/test/test.native.js

@@ -24,7 +24,6 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 
@@ -120,11 +119,7 @@ tape( 'the function returns the expected value of a Wald distribution', opts, fu
 	lambda = data.lambda;
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mean( mu[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
-		}
+		t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });