fix: update the suggested changes

---
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: na
  - task: lint_javascript_src
    status: passed
  - 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: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: passed
  - 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: Lokeshranjan8

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/benchmark/c/benchmark.c

@@ -95,9 +95,9 @@ static double random_uniform( const double min, const double max ) {
 * @return elapsed time in seconds
 */
 static double benchmark( void ) {
+	double lambda[ 100 ];
 	double x[ 100 ];
 	int32_t k[ 100 ];
-	double lambda[ 100 ];
 	double elapsed;
 	double y;
 	double t;

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the cumulative distribution function (CDF) for an Erlang distribution with shape parameter `k` and rate parameter `lambda` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {NonNegativeInteger} k - shape parameter
 * @param {PositiveNumber} lambda - rate parameter

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/manifest.json

@@ -40,7 +40,8 @@
       "dependencies": [
         "@stdlib/math/base/napi/ternary",
         "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/stats/base/dists/gamma/cdf"
+        "@stdlib/stats/base/dists/gamma/cdf",
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/test/fixtures/julia/both_large.json

@@ -2,7 +2,7 @@
 #
 # @license Apache-2.0
 #
-# Copyright (c) 2018 The Stdlib Authors.
+# Copyright (c) 2026 The Stdlib Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -70,20 +70,8 @@ file = @__FILE__;
 # Extract the directory in which this file resides:
 dir = dirname( file );
 
-# Large shape parameter:
-x = rand( 1000 ) .* 5.0;
-k = round.( Int64, ( rand( 1000 ) .* 10.0 ) .+ 10.0 );
-lambda = rand( 1000 ) .* 10.0;
-gen( x, k, lambda, "large_shape.json" );
-
-# Large rate parameter:
-x = rand( 1000 ) .* 5.0;
-k = round.( Int64, rand( 1000 ) .* 10.0 );
-lambda = ( rand( 1000 ) .* 10.0 ) .+ 10.0;
-gen( x, k, lambda, "large_rate.json" );
-
-# Both large:
-x = rand( 1000 ) .* 5.0;
-k = round.( Int64, ( rand( 1000 ) .* 20.0 ) .+ 10.0 );
-lambda = ( rand( 1000 ) .* 20.0 ) .+ 10.0;
-gen( x, k, lambda, "both_large.json" );
+# Generate fixtures:
+x = rand( 1500 ) .* 5.0;
+k = round.( Int64, ( rand( 1500 ) .* 10.0 ) .+ 10.0 );
+lambda = rand( 1500 ) .* 10.0;
+gen( x, k, lambda, "data.json" );

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/test/fixtures/julia/data.json

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2018 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -22,18 +22,15 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var cdf = require( './../lib' );
 
 
 // FIXTURES //
 
-var largeShape = require( './fixtures/julia/large_shape.json' );
-var largeRate = require( './fixtures/julia/large_rate.json' );
-var bothLarge = require( './fixtures/julia/both_large.json' );
+var data = require( './fixtures/julia/data.json' );
 
 
 // TESTS //
@@ -114,82 +111,24 @@ tape( 'if provided a negative `lambda`, the function returns `NaN`', function te
 	t.end();
 });
 
-tape( 'the function evaluates the cdf for `x` given large `k` and `lambda`', function test( t ) {
+tape( 'the function evaluates the cdf for `x` given parameters `k` and `lambda`', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var k;
 	var x;
 	var y;
 
-	expected = bothLarge.expected;
-	x = bothLarge.x;
-	k = bothLarge.k;
-	lambda = bothLarge.lambda;
+	expected = data.expected;
+	x = data.x;
+	k = data.k;
+	lambda = data.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], k[i], lambda[i] );
 		if ( y === expected[i] ) {
 			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 180.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
-	}
-	t.end();
-});
-
-tape( 'the function evaluates the cdf for `x` given large shape parameter `k`', function test( t ) {
-	var expected;
-	var lambda;
-	var delta;
-	var tol;
-	var i;
-	var k;
-	var x;
-	var y;
-
-	expected = largeShape.expected;
-	x = largeShape.x;
-	k = largeShape.k;
-	lambda = largeShape.lambda;
-	for ( i = 0; i < x.length; i++ ) {
-		y = cdf( x[i], k[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 100.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
-	}
-	t.end();
-});
-
-tape( 'the function evaluates the cdf for `x` given large rate parameter `lambda`', function test( t ) {
-	var expected;
-	var lambda;
-	var delta;
-	var tol;
-	var i;
-	var k;
-	var x;
-	var y;
-
-	expected = largeRate.expected;
-	x = largeRate.x;
-	k = largeRate.k;
-	lambda = largeRate.lambda;
-	for ( i = 0; i < x.length; i++ ) {
-		y = cdf( x[i], k[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 50.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+			t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
 		}
 	}
 	t.end();

lib/node_modules/@stdlib/stats/base/dists/erlang/cdf/test/fixtures/julia/large_rate.json

@@ -22,18 +22,15 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var factory = require( './../lib/factory.js' );
 
 
 // FIXTURES //
 
-var largeShape = require( './fixtures/julia/large_shape.json' );
-var largeRate = require( './fixtures/julia/large_rate.json' );
-var bothLarge = require( './fixtures/julia/both_large.json' );
+var data = require( './fixtures/julia/data.json' );
 
 
 // TESTS //
@@ -161,88 +158,26 @@ tape( 'if provided a negative `k`, the created function always returns `NaN`', f
 	t.end();
 });
 
-tape( 'the created function evaluates the cdf for `x` given large `k` and `lambda`', function test( t ) {
+tape( 'the created function evaluates the cdf for `x` given parameters `k` and `lambda`', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
 	var cdf;
-	var tol;
 	var i;
 	var k;
 	var x;
 	var y;
 
-	expected = bothLarge.expected;
-	x = bothLarge.x;
-	k = bothLarge.k;
-	lambda = bothLarge.lambda;
+	expected = data.expected;
+	x = data.x;
+	k = data.k;
+	lambda = data.lambda;
 	for ( i = 0; i < x.length; i++ ) {
 		cdf = factory( k[i], lambda[i] );
 		y = cdf( x[i] );
 		if ( y === expected[i] ) {
 			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 180.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
-	}
-	t.end();
-});
-
-tape( 'the created function evaluates the cdf for `x` given large shape parameter `k`', function test( t ) {
-	var expected;
-	var lambda;
-	var delta;
-	var cdf;
-	var tol;
-	var i;
-	var k;
-	var x;
-	var y;
-
-	expected = largeShape.expected;
-	x = largeShape.x;
-	k = largeShape.k;
-	lambda = largeShape.lambda;
-	for ( i = 0; i < x.length; i++ ) {
-		cdf = factory( k[i], lambda[i] );
-		y = cdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 100.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
-	}
-	t.end();
-});
-
-tape( 'the created function evaluates the cdf for `x` given large rate parameter `lambda`', function test( t ) {
-	var expected;
-	var lambda;
-	var delta;
-	var cdf;
-	var tol;
-	var i;
-	var k;
-	var x;
-	var y;
-
-	expected = largeRate.expected;
-	x = largeRate.x;
-	k = largeRate.k;
-	lambda = largeRate.lambda;
-	for ( i = 0; i < x.length; i++ ) {
-		cdf = factory( k[i], lambda[i] );
-		y = cdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 50.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+			t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
 		}
 	}
 	t.end();