Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop

Author: kgryte

lib/node_modules/@stdlib/blas/base/saxpy/README.md

@@ -307,8 +307,8 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/blas/base/daxpy`][@stdlib/blas/base/daxpy]</span><span class="delimiter">: </span><span class="description">multiply a vector x by a constant and add the result to y.</span>
--   <span class="package-name">[`@stdlib/blas/base/gaxpy`][@stdlib/blas/base/gaxpy]</span><span class="delimiter">: </span><span class="description">multiply x by a constant and add the result to y.</span>
+-   <span class="package-name">[`@stdlib/blas/base/daxpy`][@stdlib/blas/base/daxpy]</span><span class="delimiter">: </span><span class="description">multiply a vector `x` by a constant and add the result to `y`.</span>
+-   <span class="package-name">[`@stdlib/blas/base/gaxpy`][@stdlib/blas/base/gaxpy]</span><span class="delimiter">: </span><span class="description">multiply a vector `x` by a constant and add the result to `y`.</span>
 
 </section>
 

lib/node_modules/@stdlib/blas/ext/base/README.md

@@ -118,9 +118,9 @@ var ns = extblas;
 -   <span class="signature">[`gsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/gsortsh]</span><span class="delimiter">: </span><span class="description">sort a strided array using Shellsort.</span>
 -   <span class="signature">[`gsum( N, x, stride )`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>
 -   <span class="signature">[`gsumkbn( N, x, stride )`][@stdlib/blas/ext/base/gsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
--   <span class="signature">[`gsumkbn2( N, x, stride )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
--   <span class="signature">[`gsumors( N, x, stride )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
--   <span class="signature">[`gsumpw( N, x, stride )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
+-   <span class="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
+-   <span class="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
+-   <span class="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
 -   <span class="signature">[`sapx( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapx]</span><span class="delimiter">: </span><span class="description">add a constant to each element in a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum.</span>
 -   <span class="signature">[`sapxsumkbn( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>

lib/node_modules/@stdlib/blas/ext/base/docs/types/index.d.ts

@@ -1809,9 +1809,9 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
-	* @param strideOut - `out` stride length
+	* @param strideOut - stride length for `out`
 	* @returns output array
 	*
 	* @example
@@ -2191,7 +2191,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2213,7 +2213,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2235,7 +2235,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example

lib/node_modules/@stdlib/blas/ext/base/gcusumors/README.md

@@ -59,21 +59,17 @@ The function has the following parameters:
 -   **N**: number of indexed elements.
 -   **sum**: initial sum.
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **strideX**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 -   **y**: output [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **strideY**: index increment for `y`.
+-   **strideY**: stride length 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:
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
 var y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 
-var N = floor( x.length / 2 );
-
-var v = gcusumors( N, 0.0, x, 2, y, 1 );
+var v = gcusumors( 4, 0.0, x, 2, y, 1 );
 // y => [ 1.0, 3.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
 ```
 
@@ -83,7 +79,6 @@ 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 ] );
@@ -93,9 +88,7 @@ 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 );
-
-gcusumors( N, 0.0, x1, -2, y1, 1 );
+gcusumors( 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 ]
 ```
 
@@ -116,17 +109,13 @@ 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, offset parameters support indexing semantics based on starting indices. For example, to calculate the cumulative sum of every other element in the strided input array starting from the second element and to store in the last `N` elements of the strided output array starting from the last element:
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
 var y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 
-var N = floor( x.length / 2 );
-
-gcusumors.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 );
+gcusumors.ndarray( 4, 0.0, x, 2, 1, y, -1, y.length-1 );
 // y => [ 0.0, 0.0, 0.0, 0.0, 5.0, 1.0, -1.0, 1.0 ]
 ```
 
@@ -153,20 +142,14 @@ gcusumors.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/array/discrete-uniform' );
 var Float64Array = require( '@stdlib/array/float64' );
 var gcusumors = require( '@stdlib/blas/ext/base/gcusumors' );
 
-var y;
-var x;
-var i;
-
-x = new Float64Array( 10 );
-y = new Float64Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( randu()*100.0 );
-}
+var x = discreteUniform( 10, -100, 100, {
+    'dtype': 'float64'
+});
+var y = new Float64Array( x.length );
 console.log( x );
 console.log( y );
 

lib/node_modules/@stdlib/blas/ext/base/gcusumors/benchmark/benchmark.js

@@ -21,14 +21,22 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var gfill = require( '@stdlib/blas/ext/base/gfill' );
+var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var gcusumors = require( './../lib/main.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,16 +47,8 @@ var gcusumors = require( './../lib/main.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var y;
-	var x;
-	var i;
-
-	x = [];
-	y = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-		y.push( 0.0 );
-	}
+	var x = uniform( len, -100, 100, options );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/gcusumors/benchmark/benchmark.ndarray.js

@@ -21,14 +21,22 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var gfill = require( '@stdlib/blas/ext/base/gfill' );
+var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var gcusumors = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,16 +47,8 @@ var gcusumors = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = [];
-	y = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-		y.push( 0.0 );
-	}
+	var x = uniform( len, -100, 100, options );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/gcusumors/docs/repl.txt

@@ -3,8 +3,8 @@
     Computes the cumulative sum of strided array elements using ordinary
     recursive summation.
 
-    The `N` and `stride` parameters determine which elements in `x` and `y` are
-    accessed at runtime.
+    The `N` and stride parameters determine which elements in the strided arrays
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -23,13 +23,13 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Stride length for `x`.
 
     y: Array<number>|TypedArray
         Output array.
 
     strideY: integer
-        Index increment for `y`.
+        Stride length for `y`.
 
     Returns
     -------
@@ -44,31 +44,30 @@
     > {{alias}}( x.length, 0.0, x, 1, y, 1 )
     [ 1.0, -1.0, 1.0 ]
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];
     > y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, 0.0, x, 2, y, 2 )
+    > {{alias}}( 3, 0.0, x, 2, y, 2 )
     [ -2.0, 0.0, -1.0, 0.0, 1.0, 0.0 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var y0 = new {{alias:@stdlib/array/float64}}( x0.length );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*3 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > {{alias}}( N, 0.0, x1, 2, y1, 1 )
+    > {{alias}}( 3, 0.0, x1, 2, y1, 1 )
     <Float64Array>[ -2.0, 0.0, -1.0 ]
     > y0
     <Float64Array>[ 0.0, 0.0, 0.0, -2.0, 0.0, -1.0 ]
 
+
 {{alias}}.ndarray( N, sum, x, strideX, offsetX, y, strideY, offsetY )
     Computes the cumulative sum of strided array elements using ordinary
     recursive summation and alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the `offset` parameter supports indexing semantics based on a
-    starting index.
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
 
     Parameters
     ----------
@@ -82,7 +81,7 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Stride length for `x`.
 
     offsetX: integer
         Starting index for `x`.
@@ -91,7 +90,7 @@
         Output array.
 
     strideY: integer
-        Index increment for `y`.
+        Stride length for `y`.
 
     offsetY: integer
         Starting index for `y`.
@@ -107,14 +106,13 @@
     > var x = [ 1.0, -2.0, 2.0 ];
     > var y = [ 0.0, 0.0, 0.0 ];
     > {{alias}}.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 )
-    <Float64Array>[ 1.0, -1.0, 1.0 ]
+    [ 1.0, -1.0, 1.0 ]
 
     // Advanced indexing:
     > x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];
     > y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 )
-    <Float64Array>[ 0.0, 0.0, 0.0, -1.0, 0.0, -2.0 ]
+    > {{alias}}.ndarray( 3, 0.0, x, 2, 1, y, -1, y.length-1 )
+    [ 0.0, 0.0, 0.0, -1.0, 0.0, -2.0 ]
 
     See Also
     --------

lib/node_modules/@stdlib/blas/ext/base/gcusumors/docs/types/index.d.ts

@@ -32,9 +32,9 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @returns output array
 	*
 	* @example
@@ -52,10 +52,10 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param offsetX - starting index for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @param offsetY - starting index for `y`
 	* @returns output array
 	*
@@ -75,9 +75,9 @@ interface Routine {
 * @param N - number of indexed elements
 * @param sum - initial sum
 * @param x - input array
-* @param strideX - `x` stride length
+* @param strideX - stride length for `x`
 * @param y - output array
-* @param strideY - `y` stride length
+* @param strideY - stride length for `y`
 * @returns output array
 *
 * @example