chore: directly draw from the desired distribution instead of adding constants

Planeshifter · Planeshifter · commit 97c434de1ac8 · 2025-01-12T17:22:39.000-05:00
---
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
  - 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: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: passed
  - 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
---
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/README.md b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/README.md
@@ -211,8 +211,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        a = random_uniform( 0, 20 );
-        b = random_uniform( 0, 20 ) + a;
+        a = random_uniform( 0.0, 20.0 );
+        b = random_uniform( 20.0, a );
         y = stdlib_base_dists_arcsine_entropy( a, b );
         printf( "x: %lf, a: %lf, b: %lf, h(X;a,b): %lf\n", a, b, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/c/benchmark.c
@@ -101,7 +101,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		a[ i ] = random_uniform( 0.0, 20.0 );
-		b[ i ] = random_uniform( 0.0, 20.0 ) + a[ i ];
+		b[ i ] = random_uniform( a[ i ], 40.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/examples/c/example.c
@@ -32,8 +32,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		a = random_uniform( 0, 20 );
-		b = random_uniform( 0, 20 ) + a;
+		a = random_uniform( 0.0, 20.0 );
+		b = random_uniform( a, a+20.0 );
 		y = stdlib_base_dists_arcsine_entropy( a, b );
 		printf( "a: %lf, b: %lf, h(X;a,b): %lf\n", a, b, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/README.md b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/README.md
@@ -211,7 +211,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 20.0 );
-        b = random_uniform( 0.0, 20.0 ) + a;
+        b = random_uniform( a, a+20.0 );
         y = stdlib_base_dists_arcsine_kurtosis( a, b );
         printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/c/benchmark.c
@@ -101,7 +101,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		min[ i ] = random_uniform( 0.0, 20.0 );
-		max[ i ] = random_uniform( 0.0, 20.0 ) + min[ i ];
+		max[ i ] = random_uniform( min[ i ], min[ i ]+20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/examples/c/example.c
@@ -33,7 +33,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 20.0 );
-		b = random_uniform( 0.0, 20.0 ) + a;
+		b = random_uniform( a, a+20.0 );
 		y = stdlib_base_dists_arcsine_kurtosis( a, b );
 		printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/variance/README.md b/lib/node_modules/@stdlib/stats/base/dists/arcsine/variance/README.md
@@ -211,7 +211,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( 0.0, 10.0 ) + a;
+        b = random_uniform( a, a+10.0 );
         y = stdlib_base_dists_arcsine_variance( a, b );
         printf( "a: %lf, b: %lf, Var(X;a,b): %lf\n", a, b, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/arcsine/variance/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/variance/examples/c/example.c
@@ -33,7 +33,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( 0.0, 10.0 ) + a;
+		b = random_uniform( a, a+10.0 );
 		y = stdlib_base_dists_arcsine_variance( a, b );
 		printf( "a: %lf, b: %lf, Var(X;a,b): %lf\n", a, b, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/mode/README.md b/lib/node_modules/@stdlib/stats/base/dists/triangular/mode/README.md
@@ -221,7 +221,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( 0.0, 10.0 ) + a;
+        b = random_uniform( a, a+10.0 );
         c = random_uniform( a, b ); // mode between a and b
         y = stdlib_base_dists_triangular_mode( a, b, c );
         printf( "a: %lf, b: %lf, c: %lf, M(X;a,b,c): %lf\n", a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/mode/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/triangular/mode/examples/c/example.c
@@ -34,7 +34,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( 0.0, 10.0 ) + a;
+		b = random_uniform( a, a+10.0 );
 		c = random_uniform( a, b ); // mode between a and b
 		y = stdlib_base_dists_triangular_mode( a, b, c );
 		printf( "a: %lf, b: %lf, c: %lf, M(X;a,b,c): %lf\n", a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/pdf/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/triangular/pdf/examples/c/example.c
@@ -38,7 +38,7 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		x = random_uniform( 0.0, 30.0 );
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( a, 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		b = random_uniform( a+STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
 		c = a + random_uniform( 0.0, b - a );
 		y = stdlib_base_dists_triangular_pdf( x, a, b, c );
 		printf( "x: %lf, a: %lf, b: %lf, c: %lf, f(x;a,b,c): %lf\n", x, a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/variance/README.md b/lib/node_modules/@stdlib/stats/base/dists/triangular/variance/README.md
@@ -223,8 +223,8 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( 0.0, 10.0 ) + a;
-        c = a + (b - a) * random_uniform( 0.0, 1.0 );
+        b = random_uniform( a, a+10.0 );
+        c = random_uniform( a, b );
         y = stdlib_base_dists_triangular_variance( a, b, c );
         printf( "a: %lf, b: %lf, c: %lf, Var(X;a,b,c): %lf\n", a, b, c, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/variance/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/triangular/variance/examples/c/example.c
@@ -34,7 +34,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( 0.0, 10.0 ) + a;
+		b = random_uniform( a, a+10.0 );
 		c = a + (b - a) * random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_triangular_variance( a, b, c );
 		printf( "a: %lf, b: %lf, c: %lf, Var(X;a,b,c): %lf\n", a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/README.md b/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/README.md
@@ -213,7 +213,7 @@ int main( void ) {
 
     for ( i = 0; i < 25; i++ ) {
         a = random_uniform( 0.0, 20.0 );
-        b = random_uniform( 0.0, 20.0 ) + a;
+        b = random_uniform( a, a+20.0 );
         y = stdlib_base_dists_uniform_variance( a, b );
         printf( "a: %lf, b: %lf, Var(X;a,b): %lf\n", a, b, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/benchmark/c/benchmark.c
@@ -101,7 +101,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		min[ i ] = random_uniform( 0.0, 20.0 );
-		max[ i ] = random_uniform( 0.0, 20.0 ) + min[ i ];
+		max[ i ] = random_uniform( min[ i ], min[ i ] + 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/uniform/variance/examples/c/example.c
@@ -33,7 +33,7 @@ int main( void ) {
 
 	for ( i = 0; i < 25; i++ ) {
 		a = random_uniform( 0.0, 20.0 );
-		b = random_uniform( 0.0, 20.0 ) + a;
+		b = random_uniform( a, a+20.0 );
 		y = stdlib_base_dists_uniform_variance( a, b );
 		printf( "a: %lf, b: %lf, Var(X;a,b): %lf\n", a, b, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/cdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/cdf/benchmark/c/benchmark.c
@@ -102,9 +102,9 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0 , 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		lambda[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		k[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/logcdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/logcdf/benchmark/c/benchmark.c
@@ -102,9 +102,9 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0 , 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		lambda[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		k[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/logpdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/logpdf/benchmark/c/benchmark.c
@@ -102,9 +102,9 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0 , 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		lambda[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		k[ i ] = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS , 100.0 );
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/README.md b/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/README.md
@@ -224,8 +224,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        k = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        lambda = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        k = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_weibull_mean( k, lambda );
         printf( "k: %lf, λ: %lf, E(X;k,λ): %lf\n", k, lambda, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/examples/c/example.c
@@ -33,8 +33,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		k = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		lambda = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		k = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_weibull_mean( k, lambda );
 		printf( "k: %lf, λ: %lf, E(X;k,λ): %lf\n", k, lambda, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/median/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/median/benchmark/c/benchmark.c
@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		lambda[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		k[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 
 	t = tic();

Original file line number	Diff line number	Diff line change
`@@ -101,7 +101,7 @@ static double benchmark( void ) {`
`101`	`101`
`102`	`102`	`for ( i = 0; i < 100; i++ ) {`
`103`	`103`	`a[ i ] = random_uniform( 0.0, 20.0 );`
`104`		`- b[ i ] = random_uniform( 0.0, 20.0 ) + a[ i ];`
	`104`	`+ b[ i ] = random_uniform( a[ i ], 40.0 );`
`105`	`105`	`}`
`106`	`106`
`107`	`107`	`t = tic();`
Original file line number	Diff line number	Diff line change
`@@ -211,7 +211,7 @@ int main( void ) {`
`211`	`211`
`212`	`212`	`for ( i = 0; i < 25; i++ ) {`
`213`	`213`	`a = random_uniform( 0.0, 20.0 );`
`214`		`- b = random_uniform( 0.0, 20.0 ) + a;`
	`214`	`+ b = random_uniform( a, a+20.0 );`
`215`	`215`	`y = stdlib_base_dists_arcsine_kurtosis( a, b );`
`216`	`216`	`printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );`
`217`	`217`	`}`
Original file line number	Diff line number	Diff line change
`@@ -33,7 +33,7 @@ int main( void ) {`
`33`	`33`
`34`	`34`	`for ( i = 0; i < 25; i++ ) {`
`35`	`35`	`a = random_uniform( 0.0, 20.0 );`
`36`		`- b = random_uniform( 0.0, 20.0 ) + a;`
	`36`	`+ b = random_uniform( a, a+20.0 );`
`37`	`37`	`y = stdlib_base_dists_arcsine_kurtosis( a, b );`
`38`	`38`	`printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );`
`39`	`39`	`}`