Auto-generated commit

Author: stdlib-bot

CONTRIBUTORS

@@ -73,6 +73,7 @@ Shivam <11shivam00@gmail.com>
 Shraddheya Shendre <shendreshraddheya@gmail.com>
 Shubh Mehta <93862397+Shubh942@users.noreply.github.com>
 Shubham Mishra <shubh622005@gmail.com>
+Sivam Das <100067002+Sivam2313@users.noreply.github.com>
 Snehil Shah <130062020+Snehil-Shah@users.noreply.github.com>
 Soumajit Chatterjee <121816890+soumajit23@users.noreply.github.com>
 Spandan Barve <contact@marsian.dev>

README.md

@@ -77,9 +77,8 @@ Computes the sum of single-precision floating-point strided array elements, igno
 var Float32Array = require( '@stdlib/array-float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = snansum( N, x, 1 );
+var v = snansum( 4, x, 1 );
 // returns 1.0
 ```
 
@@ -89,16 +88,14 @@ The function has the following parameters:
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
 -   **stride**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the sum of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = snansum( N, x, 2 );
+var v = snansum( 4, x, 2 );
 // returns 5.0
 ```
 
@@ -108,14 +105,11 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = snansum( N, x1, 2 );
+var v = snansum( 4, x1, 2 );
 // returns 5.0
 ```
 
@@ -127,9 +121,8 @@ Computes the sum of single-precision floating-point strided array elements, igno
 var Float32Array = require( '@stdlib/array-float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = snansum.ndarray( N, x, 1, 0 );
+var v = snansum.ndarray( 4, x, 1, 0 );
 // returns 1.0
 ```
 
@@ -141,12 +134,10 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = snansum.ndarray( N, x, 2, 1 );
+var v = snansum.ndarray( 4, x, 2, 1 );
 // returns 5.0
 ```
 
@@ -171,22 +162,19 @@ var v = snansum.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random-base-randu' );
-var round = require( '@stdlib/math-base-special-round' );
-var Float32Array = require( '@stdlib/array-float32' );
+var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var snansum = require( '@stdlib/blas-ext-base-snansum' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( randu()*100.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) > 0 ) {
+        return discreteUniform( 0, 100 );
     }
+    return NaN;
 }
+
+var x = filledarrayBy( 10, 'float32', rand );
 console.log( x );
 
 var v = snansum( x.length, x, 1 );

benchmark/benchmark.js

@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var pkg = require( './../package.json' ).name;
 var snansum = require( './../lib/snansum.js' );
 
@@ -39,18 +40,15 @@ var snansum = require( './../lib/snansum.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

benchmark/benchmark.native.js

@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

benchmark/benchmark.ndarray.js

@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var pkg = require( './../package.json' ).name;
 var snansum = require( './../lib/ndarray.js' );
 
@@ -39,18 +40,15 @@ var snansum = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

benchmark/benchmark.ndarray.native.js

@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;