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

Planeshifter · Planeshifter · commit 1d5aa47204c2 · 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/variance/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/arcsine/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, 10.0 );
-		max[ i ] = random_uniform( 0.0, 10.0 ) + min[ i ];
+		max[ i ] = random_uniform( min[ i ], min[ i ] + 10.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/beta/mean/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/beta/mean/examples/c/example.c
@@ -33,8 +33,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_beta_mean( alpha, beta );
 		printf( "alpha: %lf, beta: %lf, E(X;α,β): %lf\n", alpha, beta, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/chisquare/entropy/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/chisquare/entropy/benchmark/c/benchmark.c
@@ -100,7 +100,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/chisquare/skewness/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/chisquare/skewness/benchmark/c/benchmark.c
@@ -100,7 +100,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		k[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/mode/README.md b/lib/node_modules/@stdlib/stats/base/dists/cosine/mode/README.md
@@ -210,7 +210,7 @@ int main( void ) {
 
     for ( i = 0; i < 10; i++ ) {
         mu = random_uniform( -50.0, 50.0 );
-        s = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
         y = stdlib_base_dists_cosine_mode( mu, s );
         printf( "µ: %lf, s: %lf, mode(X;µ,s): %lf\n", mu, s , y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/mode/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/cosine/mode/benchmark/c/benchmark.c
@@ -102,7 +102,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/benchmark/c/benchmark.c
@@ -102,7 +102,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/c/benchmark.c
@@ -102,9 +102,9 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		m[ i ] = random_uniform( 0.0, 20.0 ) - 40.0;
+		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+		m[ i ] = random_uniform( -20.0, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/README.md b/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/README.md
@@ -224,8 +224,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_invgamma_kurtosis( alpha, beta );
         printf( "α: %lf, β: %lf, Kurt(X;α,β): %lf\n", alpha, beta, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/benchmark/c/benchmark.c
@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 10.0 ) + 4.0 + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha[ i ] = random_uniform( 4.0, 14.0 );
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/invgamma/kurtosis/examples/c/example.c
@@ -33,8 +33,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_invgamma_kurtosis( alpha, beta );
 		printf( "α: %lf, β: %lf, Kurt(X;α,β): %lf\n", alpha, beta, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/README.md b/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/README.md
@@ -221,8 +221,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_invgamma_mean( alpha, beta );
         printf( "α: %lf, β: %lf, E(X;α,β): %lf\n", alpha, beta, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/benchmark/c/benchmark.c
@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 10.0 ) + 1.0 + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha[ i ] = random_uniform( 1.0, 11.0 );
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/invgamma/mean/examples/c/example.c
@@ -33,8 +33,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_invgamma_mean( alpha, beta );
 		printf( "α: %lf, β: %lf, E(X;α,β): %lf\n", alpha, beta, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/README.md b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/README.md
@@ -213,7 +213,7 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        mu = random_uniform( 0.0, 10.0 ) - 5.0;
+        mu = random_uniform( -5.0, 5.0 );
         sigma = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_lognormal_variance( mu, sigma );
         printf( "µ: %lf, σ: %lf, Var(X;µ,σ): %lf\n", mu, sigma, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/c/benchmark.c
@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		mu[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		sigma[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		mu[ i ] = random_uniform( -50.0, 50.0 );
+		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/examples/c/example.c
@@ -32,7 +32,7 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		mu = random_uniform( 0.0, 10.0 ) - 5.0;
+		mu = random_uniform( -5.0, 5.0 );
 		sigma = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_lognormal_variance( mu, sigma );
 		printf( "µ: %lf, σ: %lf, Var(X;µ,σ): %lf\n", mu, sigma, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/README.md b/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/README.md
@@ -229,8 +229,8 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        alpha = random_uniform( 0, 10 ) + 3.0;
-        beta = random_uniform( 0, 10 );
+        alpha = random_uniform( 3.0, 13.0 );
+        beta = random_uniform( 0.0, 10.0 );
         y = stdlib_base_dists_pareto_type1_skewness( alpha, beta );
         printf( "α: %lf, β: %lf, skew(X;α,β): %lf\n", alpha, beta, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/benchmark/c/benchmark.c
@@ -100,8 +100,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 10.0 ) + 3.0;
-		beta[ i ] = random_uniform( 0.0, 10.0 ) + 3.0;
+		alpha[ i ] = random_uniform( 3.0, 13.0 );
+		beta[ i ] = random_uniform( 3.0, 13.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/skewness/examples/c/example.c
@@ -32,8 +32,8 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		alpha = random_uniform( 0, 10 ) + 3.0;
-		beta = random_uniform( 0, 10 );
+		alpha = random_uniform( 3.0, 13.0 );
+		beta = random_uniform( 0.0, 10.0 );
 		y = stdlib_base_dists_pareto_type1_skewness( alpha, beta );
 		printf( "α: %lf, β: %lf, skew(X;α,β): %lf\n", alpha, beta, y );
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/stdev/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/pareto-type1/stdev/benchmark/c/benchmark.c
@@ -100,8 +100,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		alpha[ i ] = random_uniform( 0.0, 10.0 ) + 1.0;
-		beta[ i ] = random_uniform( 0.0, 10.0 ) + 1.0;
+		alpha[ i ] = random_uniform( 1.0, 11.0 );
+		beta[ i ] = random_uniform( 1.0, 11.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/stdev/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/t/stdev/benchmark/c/benchmark.c
@@ -99,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		v[ i ] = random_uniform( 0.0, 20.0 ) + 1.0;
+		v[ i ] = random_uniform( 1.0, 21.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/README.md b/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/README.md
@@ -253,7 +253,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         t = random_uniform( 0.0, 5.0 );
         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 = random_uniform( a, b );
         y = stdlib_base_dists_triangular_mgf( t, a, b, c );
         printf( "t: %lf, a: %lf, b: %lf, c: %lf, M_X(t;a,b,c): %lf\n", t, a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/benchmark/c/benchmark.c
@@ -105,7 +105,7 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		t[ i ] = random_uniform( 0.0, 5.0 );
 		a[ i ] = random_uniform( 0.0, 10.0 );
-		b[ i ] = random_uniform( a[ i ], 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		b[ i ] = random_uniform( a[ i ]+STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
 		c[ i ] = random_uniform( a[ i ], b[ i ] );
 	}
 
diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/triangular/mgf/examples/c/example.c
@@ -37,7 +37,7 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		t = random_uniform( 0.0, 5.0 );
 		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 = random_uniform( a, b );
 		y = stdlib_base_dists_triangular_mgf( t, a, b, c );
 		printf( "t: %lf, a: %lf, b: %lf, c: %lf, M_X(t;a,b,c): %lf\n", t, a, b, c, y );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/mean/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, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		k[ i ] = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 1.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 1.0 );
 	}
 
 	t = tic();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/weibull/pdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/weibull/pdf/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();

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`	`min[ i ] = random_uniform( 0.0, 10.0 );`
`104`		`- max[ i ] = random_uniform( 0.0, 10.0 ) + min[ i ];`
	`104`	`+ max[ i ] = random_uniform( min[ i ], min[ i ] + 10.0 );`
`105`	`105`	`}`
`106`	`106`
`107`	`107`	`t = tic();`
Original file line number	Diff line number	Diff line change
`@@ -100,7 +100,7 @@ static double benchmark( void ) {`
`100`	`100`	`int i;`
`101`	`101`
`102`	`102`	`for ( i = 0; i < 100; i++ ) {`
`103`		`- x[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;`
	`103`	`+ x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );`
`104`	`104`	`}`
`105`	`105`
`106`	`106`	`t = tic();`
Original file line number	Diff line number	Diff line change
`@@ -210,7 +210,7 @@ int main( void ) {`
`210`	`210`
`211`	`211`	`for ( i = 0; i < 10; i++ ) {`
`212`	`212`	`mu = random_uniform( -50.0, 50.0 );`
`213`		`- s = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;`
	`213`	`+ s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );`
`214`	`214`	`y = stdlib_base_dists_cosine_mode( mu, s );`
`215`	`215`	`printf( "µ: %lf, s: %lf, mode(X;µ,s): %lf\n", mu, s , y );`
`216`	`216`	`}`
Original file line number	Diff line number	Diff line change
`@@ -102,7 +102,7 @@ static double benchmark( void ) {`
`102`	`102`
`103`	`103`	`for ( i = 0; i < 100; i++ ) {`
`104`	`104`	`mu[ i ] = random_uniform( -50.0, 50.0 );`
`105`		`- s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;`
	`105`	`+ s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );`
`106`	`106`	`}`
`107`	`107`
`108`	`108`	`t = tic();`
Original file line number	Diff line number	Diff line change
`@@ -101,8 +101,8 @@ static double benchmark( void ) {`
`101`	`101`	`int i;`
`102`	`102`
`103`	`103`	`for ( i = 0; i < 100; i++ ) {`
`104`		`- alpha[ i ] = random_uniform( 0.0, 10.0 ) + 4.0 + STDLIB_CONSTANT_FLOAT64_EPS;`
`105`		`- beta[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;`
	`104`	`+ alpha[ i ] = random_uniform( 4.0, 14.0 );`
	`105`	`+ beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );`
`106`	`106`	`}`
`107`	`107`
`108`	`108`	`t = tic();`