diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/README.md
index c9ae1efa989a..11b37faa4c87 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/README.md
@@ -223,7 +223,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         x = random_uniform( 0.0, 10.0 );
         x0 = random_uniform( -5.0, 5.0 );
-        gamma = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        gamma = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
         y = stdlib_base_dists_cauchy_pdf( x, x0, gamma );
         printf( "x: %lf, k: %lf, γ: %lf, f(x;x0,γ): %lf\n", x, x0, gamma, y );
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.native.js
index f76ff7578c6f..d8778541fdf5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.native.js
@@ -24,10 +24,8 @@ 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 abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -121,9 +119,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', op
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (large `gamma`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -135,22 +131,14 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (large `gam
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 < 0`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -162,22 +150,14 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 < 0`)'
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 > 0`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -189,13 +169,7 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 > 0`)'
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.pdf.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.pdf.js
index 02f238c7ddf4..09ecdc3e542f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.pdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/pdf/test/test.pdf.js
@@ -22,10 +22,8 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pdf = require( './../lib' );
 
 
@@ -112,9 +110,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', fu
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (large `gamma`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -126,22 +122,14 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (large `gam
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 < 0`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -153,22 +141,14 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 < 0`)'
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 > 0`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -180,13 +160,7 @@ tape( 'the function evaluates the pdf for `x` given `x0` and `gamma` (`x0 > 0`)'
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = pdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', x0 :'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });