test: use approximate equality for native addon tests

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mgf/test/test.mgf.js

@@ -79,7 +79,7 @@ tape( 'the function evaluates the mgf for `x` given small parameter `p`', functi
 	p = smallP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = mgf( x[i], p[i] );
-		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
+		t.strictEqual( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
@@ -96,7 +96,7 @@ tape( 'the function evaluates the mgf for `x` given large parameter `p`', functi
 	p = largeP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = mgf( x[i], p[i] );
-		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
+		t.strictEqual( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });

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

@@ -24,6 +24,8 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 
@@ -78,6 +80,8 @@ tape( 'if provided a value outside `[0,1]` for success probability `p`, the func
 
 tape( 'the function evaluates the mgf for `x` given small parameter `p`', opts, function test( t ) {
 	var expected;
+	var delta;
+	var tol;
 	var x;
 	var p;
 	var y;
@@ -88,13 +92,21 @@ tape( 'the function evaluates the mgf for `x` given small parameter `p`', opts,
 	p = smallP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = mgf( x[i], p[i] );
-		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[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]+', actual: '+y+', expected: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the mgf for `x` given large parameter `p`', opts, function test( t ) {
 	var expected;
+	var delta;
+	var tol;
 	var x;
 	var p;
 	var y;
@@ -105,7 +117,13 @@ tape( 'the function evaluates the mgf for `x` given large parameter `p`', opts,
 	p = largeP.p;
 	for ( i = 0; i < x.length; i++ ) {
 		y = mgf( x[i], p[i] );
-		t.equal( y, expected[i], 'x: '+x[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[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]+', actual: '+y+', expected: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
 	}
 	t.end();
 });