diff --git a/lib/node_modules/@stdlib/stats/incr/mapcorr/test/test.js b/lib/node_modules/@stdlib/stats/incr/mapcorr/test/test.js
index 118da31bfa13..1f3665805e63 100644
--- a/lib/node_modules/@stdlib/stats/incr/mapcorr/test/test.js
+++ b/lib/node_modules/@stdlib/stats/incr/mapcorr/test/test.js
@@ -21,12 +21,12 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var randu = require( '@stdlib/random/base/randu' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var incrmapcorr = require( './../lib' );
 
@@ -329,12 +329,10 @@ tape( 'the function returns an accumulator function (known means)', function tes
 tape( 'the accumulator function computes a moving sample absolute Pearson product-moment correlation coefficient incrementally', function test( t ) {
 	var expected;
 	var actual;
-	var delta;
 	var means;
 	var data;
 	var acc;
 	var arr;
-	var tol;
 	var d;
 	var N;
 	var M;
@@ -344,7 +342,7 @@ tape( 'the accumulator function computes a moving sample absolute Pearson produc
 
 	N = 10;
 	M = 100;
-	data = datasets( N, M, randu.seed );
+	data = datasets( N, M, 123456 );
 
 	// Define the window size:
 	W = 10;
@@ -363,13 +361,7 @@ tape( 'the accumulator function computes a moving sample absolute Pearson produc
 			}
 			means = mean( [ 0.0, 0.0 ], arr );
 			expected = apcorr( arr, means[ 0 ], means[ 1 ], false );
-			if ( actual === expected ) {
-				t.strictEqual( actual, expected, 'returns expected value. dataset: '+i+'. window: '+j+'.' );
-			} else {
-				delta = abs( actual - expected );
-				tol = 5.0e5 * EPS * abs( expected );
-				t.strictEqual( delta < tol, true, 'dataset: '+i+'. window: '+j+'. expected: '+expected+'. actual: '+actual+'. tol: '+tol+'. delta: '+delta+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( actual, expected, 6716 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
@@ -379,11 +371,9 @@ tape( 'the accumulator function computes a moving sample absolute Pearson produc
 	var expected;
 	var actual;
 	var means;
-	var delta;
 	var data;
 	var acc;
 	var arr;
-	var tol;
 	var d;
 	var N;
 	var M;
@@ -393,7 +383,7 @@ tape( 'the accumulator function computes a moving sample absolute Pearson produc
 
 	N = 10;
 	M = 100;
-	data = datasets( N, M, randu.seed );
+	data = datasets( N, M, 123456 );
 
 	// Define the window size:
 	W = 10;
@@ -411,13 +401,7 @@ tape( 'the accumulator function computes a moving sample absolute Pearson produc
 				arr = d.slice( j-W+1, j+1 );
 			}
 			expected = apcorr( arr, means[ 0 ], means[ 1 ], true );
-			if ( actual === expected ) {
-				t.strictEqual( actual, expected, 'returns expected value. dataset: '+i+'. window: '+j+'.' );
-			} else {
-				delta = abs( actual - expected );
-				tol = 5.0e5 * EPS * abs( expected );
-				t.strictEqual( delta < tol, true, 'dataset: '+i+'. window: '+j+'. expected: '+expected+'. actual: '+actual+'. tol: '+tol+'. delta: '+delta+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( actual, expected, 1623 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
@@ -427,9 +411,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
 	var expected;
 	var actual;
 	var means;
-	var delta;
 	var data;
-	var tol;
 	var acc;
 	var W;
 	var N;
@@ -458,13 +440,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
 		}
 		means = mean( [ 0.0, 0.0 ], d );
 		expected = apcorr( d, means[ 0 ], means[ 1 ], false );
-		if ( actual === expected ) {
-			t.strictEqual( actual, expected, 'returns expected value. window: '+i+'.' );
-		} else {
-			delta = abs( actual - expected );
-			tol = 1.0 * EPS * abs( expected );
-			t.strictEqual( delta < tol, true, 'window: '+i+'. expected: '+expected+'. actual: '+actual+'. tol: '+tol+'. delta: '+delta+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( actual, expected, 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -473,9 +449,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
 	var expected;
 	var actual;
 	var means;
-	var delta;
 	var data;
-	var tol;
 	var acc;
 	var W;
 	var N;
@@ -504,13 +478,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
 			d = data.slice( i-W+1, i+1 );
 		}
 		expected = apcorr( d, means[ 0 ], means[ 1 ], true );
-		if ( actual === expected ) {
-			t.strictEqual( actual, expected, 'returns expected value. window: '+i+'.' );
-		} else {
-			delta = abs( actual - expected );
-			tol = 1.0 * EPS * abs( expected );
-			t.strictEqual( delta < tol, true, 'window: '+i+'. expected: '+expected+'. actual: '+actual+'. tol: '+tol+'. delta: '+delta+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( actual, expected, 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -569,10 +537,8 @@ tape( 'if the window size is `1` and the means are known, the accumulator functi
 
 tape( 'if provided `NaN`, the accumulated value is `NaN` for at least `W` invocations (unknown means)', function test( t ) {
 	var expected;
-	var delta;
 	var data;
 	var acc;
-	var tol;
 	var v;
 	var i;
 
@@ -631,12 +597,8 @@ tape( 'if provided `NaN`, the accumulated value is `NaN` for at least `W` invoca
 		if ( isnan( expected[ i ] ) ) {
 			t.strictEqual( isnan( v ), true, 'returns expected value for window '+i );
 			t.strictEqual( isnan( acc() ), true, 'returns expected value for window '+i );
-		} else if ( v === expected[ i ] ) {
-			t.strictEqual( v, expected[ i ], 'returns expected value for window: '+i );
 		} else {
-			delta = abs( v - expected[ i ] );
-			tol = EPS * abs( expected[ i ] );
-			t.strictEqual( delta < tol, true, 'window: '+i+'. expected: '+expected[ i ]+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
+			t.strictEqual( isAlmostSameValue( v, expected[ i ], 1 ), true, 'returns expected value' );
 			t.strictEqual( acc(), v, 'returns expected value for window '+i );
 		}
 	}
@@ -672,12 +634,8 @@ tape( 'if provided `NaN`, the accumulated value is `NaN` for at least `W` invoca
 		if ( isnan( expected[ i ] ) ) {
 			t.strictEqual( isnan( v ), true, 'returns expected value for window '+i );
 			t.strictEqual( isnan( acc() ), true, 'returns expected value for window '+i );
-		} else if ( v === expected[ i ] ) {
-			t.strictEqual( v, expected[ i ], 'returns expected value for window: '+i );
 		} else {
-			delta = abs( v - expected[ i ] );
-			tol = EPS * abs( expected[ i ] );
-			t.strictEqual( delta < tol, true, 'window: '+i+'. expected: '+expected[ i ]+'. actual: '+v+'. tol: '+tol+'. delta: '+delta+'.' );
+			t.strictEqual( isAlmostSameValue( v, expected[ i ], 1 ), true, 'returns expected value' );
 			t.strictEqual( acc(), v, 'returns expected value for window '+i );
 		}
 	}