From ebacbc5af79adb08ff29aede75bbe0adfffc1fe7 Mon Sep 17 00:00:00 2001
From: Pranav Agrawal <pranavagrawal144@gmail.com>
Date: Sun, 9 Feb 2025 18:13:55 +0530
Subject: [PATCH] bench: chore: address commit comments (commit 28b78a0)

---
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: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - 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: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../dists/poisson/ctor/benchmark/benchmark.js | 38 +++++++++----------
 .../poisson/entropy/benchmark/benchmark.js    |  2 +-
 .../poisson/kurtosis/benchmark/benchmark.js   |  2 +-
 .../dists/poisson/mode/benchmark/benchmark.js |  2 +-
 .../poisson/quantile/benchmark/benchmark.js   |  2 +-
 .../poisson/skewness/benchmark/benchmark.js   |  2 +-
 .../poisson/stdev/benchmark/benchmark.js      |  2 +-
 7 files changed, 25 insertions(+), 25 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/ctor/benchmark/benchmark.js
index c35eb7c597bf..f98e64d7f409 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/ctor/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/ctor/benchmark/benchmark.js
@@ -38,7 +38,7 @@ bench( pkg+'::instantiation', function benchmark( b ) {
 	var len;
 	var i;
 
-	len=100;
+	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		lambda[ i ] = ( uniform( EPS, 10.0 ));
@@ -90,7 +90,7 @@ bench( pkg+'::set:lambda', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	y = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		y[ i ] = uniform( EPS, 10.0 );
@@ -120,7 +120,7 @@ bench( pkg+':entropy', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( EPS, 10.0 );
@@ -151,7 +151,7 @@ bench( pkg+':kurtosis', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( EPS + 1.0, 11.0 );
@@ -182,7 +182,7 @@ bench( pkg+':mean', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( EPS, 10.0 );
@@ -213,7 +213,7 @@ bench( pkg+':median', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( EPS, 10.0 );
@@ -244,7 +244,7 @@ bench( pkg+':mode', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -275,7 +275,7 @@ bench( pkg+':skewness', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -306,7 +306,7 @@ bench( pkg+':stdev', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -337,7 +337,7 @@ bench( pkg+':variance', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -368,7 +368,7 @@ bench( pkg+':cdf', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 0.0, 60.0 );
@@ -398,14 +398,14 @@ bench( pkg+':logpmf', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= discreteUniform( 0.0, 6.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.logpmf( x[ i % len] );
+		y = dist.logpmf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -428,14 +428,14 @@ bench( pkg+':mgf', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 0.0, 1.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.mgf( x[ i % len] );
+		y = dist.mgf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -458,14 +458,14 @@ bench( pkg+':pmf', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= discreteUniform( 0.0, 8.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.pmf( x[ i % len] );
+		y = dist.pmf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -488,14 +488,14 @@ bench( pkg+':quantile', function benchmark( b ) {
 
 	lambda = 5.54;
 	dist = new Poisson( lambda );
-	len=100;
+	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ]= uniform( 0.0, 1.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.quantile( x[ i % len] );
+		y = dist.quantile( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/entropy/benchmark/benchmark.js
index 18501c82185b..e15fe9a62d96 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/entropy/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/entropy/benchmark/benchmark.js
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( uniform( EPS, 20.0 ));
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/benchmark/benchmark.js
index 526d17d1291a..c772a02fdfaf 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/benchmark/benchmark.js
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( uniform( EPS, 20.0 ));
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/mode/benchmark/benchmark.js
index dec823b4947f..8ae90a298722 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/mode/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/mode/benchmark/benchmark.js
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( uniform( EPS, 20.0 ));
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/benchmark/benchmark.js
index 88c99ad7a7a3..f1e5e2976100 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/benchmark/benchmark.js
@@ -76,7 +76,7 @@ bench( pkg+':factory', function benchmark( b ) {
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = myquantile( p[ i % len] );
+		y = myquantile( p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/benchmark/benchmark.js
index c759d73bc0c9..f3350fe2c8a0 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/benchmark/benchmark.js
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( uniform( EPS, 20.0 ));
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.js
index 406da9ba28ac..1f300b05686f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.js
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = ( uniform( EPS, 20.0 ));
+		lambda[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {