chore: update test cases

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---

Author: ShabiShett07

lib/node_modules/@stdlib/blas/base/dnrm2/test/test.dnrm2.js

@@ -82,10 +82,10 @@ tape( 'the function calculates the L2-norm of a vector ( tiny value ) ', functio
 	z = dnrm2( x.length, x, 1, 0 );
 	t.strictEqual( z, sqrt( 51.0 ), 'returns expected value' );
 
-	x = new Float64Array( [ 5.0, 1.0e155 ] );
+	x = new Float64Array( [ 5.0, 1.0e-155 ] );
 
 	z = dnrm2( x.length, x, 1, 0 );
-	t.strictEqual( z, 1.0e155, 'returns expected value' );
+	t.strictEqual( z, 5.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/base/dnrm2/test/test.dnrm2.native.js

@@ -91,10 +91,10 @@ tape( 'the function calculates the L2-norm of a vector ( tiny value ) ', functio
 	z = dnrm2( x.length, x, 1, 0 );
 	t.strictEqual( z, sqrt( 51.0 ), 'returns expected value' );
 
-	x = new Float64Array( [ 5.0, 1.0e155 ] );
+	x = new Float64Array( [ 5.0, 1.0e-155 ] );
 
 	z = dnrm2( x.length, x, 1, 0 );
-	t.strictEqual( z, 1.0e155, 'returns expected value' );
+	t.strictEqual( z, 5.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/base/dnrm2/test/test.ndarray.js

@@ -82,10 +82,10 @@ tape( 'the function calculates the L2-norm of a vector ( tiny value ) ', functio
 	z = dnrm2( x.length, x, 1, 0 );
 	t.strictEqual( z, sqrt( 51.0 ), 'returns expected value' );
 
-	x = new Float64Array( [ 5.0, 1.0e155 ] );
+	x = new Float64Array( [ 5.0, 1.0e-155 ] );
 
 	z = dnrm2( x.length, x, 1, 0 );
-	t.strictEqual( z, 1.0e155, 'returns expected value' );
+	t.strictEqual( z, 5.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/base/dnrm2/test/test.ndarray.native.js

@@ -91,10 +91,10 @@ tape( 'the function calculates the L2-norm of a vector ( tiny value ) ', functio
 	z = dnrm2( x.length, x, 1, 0 );
 	t.strictEqual( z, sqrt( 51.0 ), 'returns expected value' );
 
-	x = new Float64Array( [ 5.0, 1.0e155 ] );
+	x = new Float64Array( [ 5.0, 1.0e-155 ] );
 
 	z = dnrm2( x.length, x, 1, 0 );
-	t.strictEqual( z, 1.0e155, 'returns expected value' );
+	t.strictEqual( z, 5.0, 'returns expected value' );
 
 	t.end();
 });