Auto-generated commit

Author: stdlib-bot

.github/.keepalive

@@ -26,3 +26,6 @@ shrinkwrap = false
 
 # Disable automatically "saving" dependencies on install:
 save = false
+
+# Generate provenance metadata:
+provenance = true

.npmrc

@@ -2,32 +2,40 @@
 #
 # Contributors listed in alphabetical order.
 
-Aditya Sapra <[email protected]>
+Adarsh Palaskar <[email protected]>
+Aditya Sapra <[email protected]>
 AgPriyanshu18 <[email protected]>
 Ali Salesi <[email protected]>
+Aman Bhansali <[email protected]>
 Amit Jimiwal <[email protected]>
+Anudeep Sanapala <[email protected]>
 Athan Reines <[email protected]>
 Brendan Graetz <[email protected]>
 Bruno Fenzl <[email protected]>
-Chinmay J <[email protected]>
+Chinmay Joshi <[email protected]>
 Christopher Dambamuromo <[email protected]>
 Dan Rose <[email protected]>
 Daniel Killenberger <[email protected]>
 Dominik Moritz <[email protected]>
 Dorrin Sotoudeh <[email protected]>
+EuniceSim142 <[email protected]>
 Frank Kovacs <[email protected]>
-GUNJ JOSHI <gunjjoshi8372@gmail.com>
-Golden <[email protected].com>
+Golden Kumar <[email protected].com>
+Gunj Joshi <gunjjoshi8372@gmail.com>
 Harshita Kalani <[email protected]>
+Jaimin Godhani <[email protected]>
 James Gelok <[email protected]>
 Jaysukh Makvana <[email protected]>
 Jithin KS <[email protected]>
+Joel Mathew Koshy <[email protected]>
 Joey Reed <[email protected]>
 Jordan Gallivan <[email protected]>
 Joris Labie <[email protected]>
 Justin Dennison <[email protected]>
 Karthik Prakash <[email protected]>
 Khaldon <[email protected]>
+Lovelin <[email protected]>
+Manik Sharma <[email protected]>
 Marcus Fantham <[email protected]>
 Matt Cochrane <[email protected]>
 Mihir Pandit <[email protected]>
@@ -36,22 +44,32 @@ Momtchil Momtchev <[email protected]>
 Naresh Jagadeesan <[email protected]>
 Nithin Katta <[email protected]>
 Ognjen Jevremović <[email protected]>
+Oneday12323 <[email protected]>
 Philipp Burckhardt <[email protected]>
 Prajwal Kulkarni <[email protected]>
 Pranav Goswami <[email protected]>
 Praneki <[email protected]>
 Pratik <[email protected]>
+Priyansh <[email protected]>
+Raunak Kumar Gupta <[email protected]>
+Rejoan Sardar <[email protected]>
 Ricky Reusser <[email protected]>
 Robert Gislason <[email protected]>
 Roman Stetsyk <[email protected]>
 Rutam <[email protected]>
 Ryan Seal <[email protected]>
+Sai Srikar Dumpeti <[email protected]>
 Seyyed Parsa Neshaei <[email protected]>
+Shashank Shekhar Singh <[email protected]>
 Shraddheya Shendre <[email protected]>
-Shubham <[email protected]>
+Shubham Mishra <[email protected]>
 Snehil Shah <[email protected]>
-Spandan Barve <[email protected]>
+Spandan Barve <[email protected]>
 Stephannie Jiménez Gacha <[email protected]>
+Utkarsh <http://[email protected]>
+Utkarsh Raj <[email protected]>
+Varad Gupta <[email protected]>
 Yernar Yergaziyev <[email protected]>
+nishant-s7 <[email protected]>
 orimiles5 <[email protected]>
 rei2hu <[email protected]>

CONTRIBUTORS

@@ -98,18 +98,15 @@ The function has the following parameters:
 -   **y**: output [`Float64Array`][@stdlib/array/float64].
 -   **strideY**: index increment for `y`.
 
-The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to compute the cumulative sum of every other element in `x`,
+The `N` and `stride` parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the cumulative sum of every other element in the strided input array,
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
 var y = new Float64Array( x.length );
 
-var N = floor( x.length / 2 );
-
-var v = dcusum( N, 0.0, x, 2, y, 1 );
+var v = dcusum( 4, 0.0, x, 2, y, 1 );
 // y => <Float64Array>[ 1.0, 3.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
 ```
 
@@ -119,7 +116,6 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 // Initial arrays...
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
@@ -129,9 +125,7 @@ var y0 = new Float64Array( x0.length );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
 
-var N = floor( x0.length / 2 );
-
-dcusum( N, 0.0, x1, -2, y1, 1 );
+dcusum( 4, 0.0, x1, -2, y1, 1 );
 // y0 => <Float64Array>[ 0.0, 0.0, 0.0, 4.0, 6.0, 4.0, 5.0, 0.0 ]
 ```
 
@@ -154,18 +148,15 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetY**: starting index for `y`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative sum of every other value in `x` starting from the second value and to store in the last `N` elements of `y` starting from the last element
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative sum of every other value in the strided input array starting from the second value and to store in the last `N` elements of the strided output array starting from the last element
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var y = new Float64Array( x.length );
 
-var N = floor( x.length / 2 );
-
-dcusum.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 );
+dcusum.ndarray( 4, 0.0, x, 2, 1, y, -1, y.length-1 );
 // y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 5.0, 1.0, -1.0, 1.0 ]
 ```
 
@@ -190,20 +181,14 @@ dcusum.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random-base-randu' );
-var round = require( '@stdlib/math-base-special-round' );
+var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var Float64Array = require( '@stdlib/array-float64' );
 var dcusum = require( '@stdlib/blas-ext-base-dcusum' );
 
-var y;
-var x;
-var i;
+var x = filledarrayBy( 10, 'float64', discreteUniform( 0, 100 ) );
+var y = new Float64Array( x.length );
 
-x = new Float64Array( 10 );
-y = new Float64Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( randu()*100.0 );
-}
 console.log( x );
 console.log( y );
 

README.md

@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' ).factory;
+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 Float64Array = require( '@stdlib/array-float64' );
 var pkg = require( './../package.json' ).name;
 var dcusum = require( './../lib/dcusum.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -10.0, 10.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,15 +45,8 @@ var dcusum = require( './../lib/dcusum.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var y;
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

benchmark/benchmark.js

@@ -22,7 +22,8 @@
 
 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' ).factory;
+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 Float64Array = require( '@stdlib/array-float64' );
@@ -36,6 +37,7 @@ var dcusum = tryRequire( resolve( __dirname, './../lib/dcusum.native.js' ) );
 var opts = {
 	'skip': ( dcusum instanceof Error )
 };
+var rand = uniform( -10.0, 10.0 );
 
 
 // FUNCTIONS //
@@ -48,15 +50,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

benchmark/benchmark.native.js

@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' ).factory;
+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 Float64Array = require( '@stdlib/array-float64' );
 var pkg = require( './../package.json' ).name;
 var dcusum = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -10.0, 10.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,15 +45,8 @@ var dcusum = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

benchmark/benchmark.ndarray.js

@@ -22,7 +22,8 @@
 
 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' ).factory;
+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 Float64Array = require( '@stdlib/array-float64' );
@@ -36,6 +37,7 @@ var dcusum = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dcusum instanceof Error )
 };
+var rand = uniform( -10.0, 10.0 );
 
 
 // FUNCTIONS //
@@ -48,15 +50,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {