refactor: use generalized utility

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---

Author: kgryte

lib/node_modules/@stdlib/ndarray/base/quinary-tiling-block-size/README.md

@@ -85,7 +85,7 @@ The function supports the following arguments:
 ```javascript
 var dtypes = require( '@stdlib/ndarray/dtypes' );
 var cartesianPower = require( '@stdlib/array/base/cartesian-power' );
-var promotionRules = require( '@stdlib/ndarray/promotion-rules' );
+var promoteDataTypes = require( '@stdlib/ndarray/base/promote-dtypes' );
 var quinaryBlockSize = require( '@stdlib/ndarray/base/quinary-tiling-block-size' );
 
 // Generate a list of input ndarray dtype quintuplets:
@@ -97,8 +97,8 @@ var b;
 var i;
 console.log( 'block_size, xdtype, ydtype, zdtype, wdtype, udtype, vdtype' );
 for ( i = 0; i < dt.length; i++ ) {
-    t = promotionRules.apply( null, dt[ i ] );
-    dt[ i ].push( ( t === -1 ) ? 'generic' : t );
+    t = promoteDataTypes( dt[ i ] );
+    dt[ i ].push( ( t === null ) ? 'generic' : t );
     b = quinaryBlockSize.apply( null, dt[ i ] );
     console.log( '%d, %s, %s, %s, %s, %s, %s', b, dt[i][0], dt[i][1], dt[i][2], dt[i][3], dt[i][4], dt[i][5] );
 }

lib/node_modules/@stdlib/ndarray/base/quinary-tiling-block-size/examples/index.js

@@ -20,7 +20,7 @@
 
 var dtypes = require( '@stdlib/ndarray/dtypes' );
 var cartesianPower = require( '@stdlib/array/base/cartesian-power' );
-var promotionRules = require( '@stdlib/ndarray/promotion-rules' );
+var promoteDataTypes = require( '@stdlib/ndarray/base/promote-dtypes' );
 var quinaryBlockSize = require( './../lib' );
 
 // Generate a list of input ndarray dtype quintuplets:
@@ -32,8 +32,8 @@ var b;
 var i;
 console.log( 'block_size, xdtype, ydtype, zdtype, wdtype, udtype, vdtype' );
 for ( i = 0; i < dt.length; i++ ) {
-	t = promotionRules.apply( null, dt[ i ] );
-	dt[ i ].push( ( t === -1 ) ? 'generic' : t );
+	t = promoteDataTypes( dt[ i ] );
+	dt[ i ].push( ( t === null ) ? 'generic' : t );
 	b = quinaryBlockSize.apply( null, dt[ i ] );
 	console.log( '%d, %s, %s, %s, %s, %s, %s', b, dt[i][0], dt[i][1], dt[i][2], dt[i][3], dt[i][4], dt[i][5] );
 }

lib/node_modules/@stdlib/ndarray/base/quinary-tiling-block-size/lib/defaults.js

@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var bytesPerElement = require( '@stdlib/ndarray/base/bytes-per-element' );
-var defaults = require( './defaults.js' );
+var blockSize = require( '@stdlib/ndarray/base/tiling-block-size' );
 
 
 // MAIN //
@@ -42,49 +41,7 @@ var defaults = require( './defaults.js' );
 * // returns <number>
 */
 function quinaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW, dtypeU, dtypeV ) {
-	var nbx;
-	var nby;
-	var nbz;
-	var nbw;
-	var nbu;
-	var nbv;
-	var max;
-
-	nbx = bytesPerElement( dtypeX );
-	nby = bytesPerElement( dtypeY );
-	nbz = bytesPerElement( dtypeZ );
-	nbw = bytesPerElement( dtypeW );
-	nbu = bytesPerElement( dtypeU );
-	nbv = bytesPerElement( dtypeV );
-	if (
-		nbx === null ||
-		nby === null ||
-		nbz === null ||
-		nbw === null ||
-		nbu === null ||
-		nbv === null
-	) {
-		// e.g., "generic" arrays
-		return defaults.BLOCK_SIZE_IN_ELEMENTS;
-	}
-	// Find the largest element size among all six arrays...
-	max = nbx;
-	if ( nby > max ) {
-		max = nby;
-	}
-	if ( nbz > max ) {
-		max = nbz;
-	}
-	if ( nbw > max ) {
-		max = nbw;
-	}
-	if ( nbu > max ) {
-		max = nbu;
-	}
-	if ( nbv > max ) {
-		max = nbv;
-	}
-	return ( defaults.BLOCK_SIZE_IN_BYTES/max )|0; // asm type annotation
+	return blockSize( [ dtypeX, dtypeY, dtypeZ, dtypeW, dtypeU, dtypeV ] );
 }
 
 

lib/node_modules/@stdlib/ndarray/base/quinary-tiling-block-size/lib/main.js

@@ -24,7 +24,7 @@ var tape = require( 'tape' );
 var isPositiveInteger = require( '@stdlib/assert/is-positive-integer' ).isPrimitive;
 var dtypes = require( '@stdlib/ndarray/dtypes' );
 var cartesianPower = require( '@stdlib/array/base/cartesian-power' );
-var promotionRules = require( '@stdlib/ndarray/promotion-rules' );
+var promoteDataTypes = require( '@stdlib/ndarray/base/promote-dtypes' );
 var quinaryBlockSize = require( './../lib' );
 
 
@@ -48,8 +48,8 @@ tape( 'the function returns a block size', function test( t ) {
 	dt = cartesianPower( dtypes(), 5 );
 
 	for ( i = 0; i < dt.length; i++ ) {
-		pt = promotionRules.apply( null, dt[ i ] );
-		dt[ i ].push( ( pt === -1 ) ? 'generic' : pt );
+		pt = promoteDataTypes( dt[ i ] );
+		dt[ i ].push( ( pt === null ) ? 'generic' : pt );
 		v = quinaryBlockSize( dt[ i ][ 0 ], dt[ i ][ 1 ], dt[ i ][ 2 ], dt[ i ][ 3 ], dt[ i ][ 4 ], dt[ i ][ 5 ] ); // eslint-disable-line max-len
 		t.strictEqual( isPositiveInteger( v ), true, 'returns a positive integer when provided ('+dt[ i ].join( ', ' )+')' );
 	}