chore: update tests

Author: Neerajpathak07

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

@@ -34,12 +34,16 @@ var addon = require( './../src/addon.node' );
 * @returns {Probability} evaluated CDF
 *
 * @example
-* var y = cdf( 1.0, 0.5 );
+* var y = cdf( 0.5, 0.5 );
+* // returns 0.5
+*
+* @example
+* var y = cdf( 2.0, 0.1 );
 * // returns 1.0
 *
 * @example
-* var y = cdf( 0.5, 0.5 );
-* // returns 0.5
+* var y = cdf( -1.0, 0.3 );
+* // returns 0.0
 *
 * @example
 * var y = cdf( NaN, 0.5 );
@@ -50,11 +54,8 @@ var addon = require( './../src/addon.node' );
 * // returns NaN
 *
 * @example
-* var y = cdf( 0.9, -1.0 );
-* // returns NaN
-*
-* @example
-* var y = cdf( 0.9, 1.5 );
+* // Invalid probability
+* var y = cdf( 0.5, 1.4 );
 * // returns NaN
 */
 function cdf( x, p ) {

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/src/main.c

@@ -45,5 +45,5 @@ double stdlib_base_dists_bernoulli_cdf( const double x, const double p ) {
 	if ( x >= 1.0 ) {
 		return 1.0;
 	}
-	return 1.0 - p ;
+	return 1.0 - p;
 }

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/test/test.cdf.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 cdf = require( './../lib' );
 
 
@@ -90,8 +88,6 @@ tape( 'if provided a value outside `[0,1]` for success probability `p`, the func
 
 tape( 'the function evaluates the cdf for `x` given small parameter `p`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var p;
 	var y;
@@ -102,21 +98,13 @@ tape( 'the function evaluates the cdf for `x` given small parameter `p`', functi
 	p = smallP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the cdf for `x` given large parameter `p`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var p;
 	var y;
@@ -127,13 +115,7 @@ tape( 'the function evaluates the cdf for `x` given large parameter `p`', functi
 	p = largeP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[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 ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/bernoulli/cdf/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 //
@@ -99,8 +97,6 @@ tape( 'if provided a value outside `[0,1]` for success probability `p`, the func
 
 tape( 'the function evaluates the cdf for `x` given small parameter `p`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var p;
 	var y;
@@ -111,21 +107,13 @@ tape( 'the function evaluates the cdf for `x` given small parameter `p`', opts,
 	p = smallP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the cdf for `x` given large parameter `p`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var x;
 	var p;
 	var y;
@@ -136,13 +124,7 @@ tape( 'the function evaluates the cdf for `x` given large parameter `p`', opts,
 	p = largeP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = cdf( x[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[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 ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });