fix: add missing checks for N and address failing tests stemming from refactoring

Previous refactorings extracted out the `alpha*N` computation. In
general, this improves accuracy; however, ORS and pairwise summation
are still off, just less off than before, due to castrophic cancellation.

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Author: kgryte

lib/node_modules/@stdlib/blas/ext/base/dapxsum/test/test.dapxsum.js

@@ -61,7 +61,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1e100, 1.0, -1.0e100 ] );
 	v = dapxsum( x.length, 5.0, x, 1 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/ext/base/dapxsum/test/test.dapxsum.native.js

@@ -179,7 +179,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsum( x.length, 5.0, x, 1 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/ext/base/dapxsum/test/test.ndarray.js

@@ -61,7 +61,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsum( x.length, 5.0, x, 1, 0 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

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

@@ -70,7 +70,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsum( x.length, 5.0, x, 1, 0 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/lib/ndarray.js

@@ -52,6 +52,9 @@ var dsumkbn = require( '@stdlib/blas/ext/base/dsumkbn' ).ndarray;
 * // returns 25.0
 */
 function dapxsumkbn( N, alpha, x, strideX, offsetX ) {
+	if ( N <= 0 ) {
+		return 0.0;
+	}
 	return ( N * alpha ) + dsumkbn( N, x, strideX, offsetX );
 }
 

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/src/main.c

@@ -53,5 +53,8 @@ double API_SUFFIX(stdlib_strided_dapxsumkbn)( const CBLAS_INT N, const double al
 * @param offsetX  starting index
 */
 double API_SUFFIX(stdlib_strided_dapxsumkbn_ndarray)( const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	if ( N <= 0 ) {
+		return 0.0;
+	}
 	return ( N * alpha ) + API_SUFFIX(stdlib_strided_dsumkbn_ndarray)( N, X, strideX, offsetX );
 }

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/test/test.dapxsumkbn.js

@@ -61,7 +61,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1e100, 1.0, -1.0e100 ] );
 	v = dapxsumkbn( x.length, 5.0, x, 1 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/test/test.dapxsumkbn.native.js

@@ -179,7 +179,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsumkbn( x.length, 5.0, x, 1 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/test/test.ndarray.js

@@ -61,7 +61,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsumkbn( x.length, 5.0, x, 1, 0 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });

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

@@ -70,7 +70,7 @@ tape( 'the function adds a constant and calculates the sum of all strided array
 
 	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
 	v = dapxsumkbn( x.length, 5.0, x, 1, 0 );
-	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.strictEqual( v, 22.0, 'returns expected value' );
 
 	t.end();
 });