Merge remote-tracking branch 'upstream/develop' into ndarray-smeanli

Author: stdlib-bot

.editorconfig

@@ -86,7 +86,6 @@ indent_style = tab
 [*.{f,f.txt}]
 indent_style = space
 indent_size = 2
-insert_final_newline = false
 
 # Set properties for shell files:
 [*.{sh,sh.txt}]

.mailmap

@@ -219,6 +219,8 @@ Vaibhav Patel <[email protected]> ProCoderVP
 Varad Gupta <[email protected]> <[email protected]>
 Varad Gupta <[email protected]> vr-varad
 
+Vinit Pandit <[email protected]> <[email protected]>
+
 Vivek Maurya <[email protected]> <[email protected]>
 Vivek Maurya <[email protected]> vivekmaurya001
 

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

@@ -124,10 +124,10 @@ var ns = extblas;
 -   <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>
--   <span class="signature">[`sapxsumkbn2( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn2]</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 a second-order iterative Kahan–Babuška algorithm.</span>
+-   <span class="signature">[`sapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
--   <span class="signature">[`sapxsumpw( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumpw]</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 pairwise summation.</span>
--   <span class="signature">[`sasumpw( N, x, stride )`][@stdlib/blas/ext/base/sasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
+-   <span class="signature">[`sapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation.</span>
+-   <span class="signature">[`sasumpw( N, x, strideX )`][@stdlib/blas/ext/base/sasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
 -   <span class="signature">[`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements.</span>
 -   <span class="signature">[`scusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`scusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>

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

@@ -2334,12 +2334,12 @@ interface Namespace {
 	sapxsumkbn: typeof sapxsumkbn;
 
 	/**
-	* Adds a constant to each single-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
+	* Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2388,12 +2388,12 @@ interface Namespace {
 	sapxsumors: typeof sapxsumors;
 
 	/**
-	* Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
+	* Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2419,7 +2419,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2477,9 +2477,9 @@ interface Namespace {
 	* @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
@@ -2508,9 +2508,9 @@ interface Namespace {
 	* @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

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

@@ -25,15 +25,15 @@ 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 zeros = require( '@stdlib/array/zeros' );
 var pkg = require( './../package.json' ).name;
 var gcusumors = require( './../lib/main.js' );
 
 
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'generic'
 };
 
 
@@ -48,7 +48,7 @@ var options = {
 */
 function createBenchmark( len ) {
 	var x = uniform( len, -100, 100, options );
-	var y = new Float64Array( len );
+	var y = zeros( len, options.dtype );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -25,15 +25,15 @@ 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 zeros = require( '@stdlib/array/zeros' );
 var pkg = require( './../package.json' ).name;
 var gcusumors = require( './../lib/ndarray.js' );
 
 
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'generic'
 };
 
 
@@ -48,7 +48,7 @@ var options = {
 */
 function createBenchmark( len ) {
 	var x = uniform( len, -100, 100, options );
-	var y = new Float64Array( len );
+	var y = zeros( len, options.dtype );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/gfill-by/README.md

@@ -30,9 +30,9 @@ limitations under the License.
 var gfillBy = require( '@stdlib/blas/ext/base/gfill-by' );
 ```
 
-#### gfillBy( N, x, stride, clbk\[, thisArg] )
+#### gfillBy( N, x, strideX, clbk\[, thisArg] )
 
-Fills a strided array `x` according to a provided callback function.
+Fills a strided array according to a provided callback function.
 
 ```javascript
 function fill( v, i ) {
@@ -48,17 +48,17 @@ gfillBy( x.length, x, 1, fill );
 The function has the following parameters:
 
 -   **N**: number of indexed elements.
--   **x**: input array. 
--   **stride**: index increment.
+-   **x**: input array.
+-   **strideX**: stride length.
 -   **clbk**: callback function.
 -   **thisArg**: execution context (_optional_).
 
-The invoked callback is provided four arguments:
+The callback function is provided the following arguments:
 
--   **value**: array element.
+-   **value**: current array element.
 -   **aidx**: array index.
 -   **sidx**: strided index (`offset + aidx*stride`).
--   **array**: input array/collection.
+-   **array**: the input array.
 
 To set the callback execution context, provide a `thisArg`.
 
@@ -81,27 +81,23 @@ var cnt = context.count;
 // returns 8
 ```
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to fill every other element
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to fill every other element:
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 function fill( v, i ) {
     return v * i;
 }
 
 var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];
-var N = floor( x.length / 2 );
 
-gfillBy( N, x, 2, fill );
+gfillBy( 4, x, 2, fill );
 // x => [ 0.0, 1.0, 3.0, -5.0, 8.0, 0.0, -3.0, -3.0 ]
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 function fill( v, i ) {
     return v * i;
@@ -112,16 +108,15 @@ var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
 
 // Create an offset view...
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-var N = floor( x0.length/2 );
 
 // Fill every other element...
-gfillBy( N, x1, 2, fill );
+gfillBy( 3, x1, 2, fill );
 // x0 => <Float64Array>[ 1.0, 0.0, 3.0, -4.0, 5.0, -12.0 ]
 ```
 
-#### gfillBy.ndarray( N, x, stride, offset, clbk\[, thisArg] )
+#### gfillBy.ndarray( N, x, strideX, offsetX, clbk\[, thisArg] )
 
-Fills a strided array `x` according to a provided callback function and using alternative indexing semantics.
+Fills a strided array according to a provided callback function and using alternative indexing semantics.
 
 ```javascript
 function fill( v, i ) {
@@ -136,9 +131,9 @@ gfillBy.ndarray( x.length, x, 1, 0, fill );
 
 The function has the following additional parameters:
 
--   **offset**: starting index.
+-   **offsetX**: starting index.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to access only the last three elements of `x`
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to access only the last three elements:
 
 ```javascript
 function fill( v, i ) {
@@ -174,26 +169,14 @@ gfillBy.ndarray( 3, x, 1, x.length-3, fill );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var round = require( '@stdlib/math/base/special/round' );
-var randu = require( '@stdlib/random/base/randu' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
 var Float64Array = require( '@stdlib/array/float64' );
 var gfillBy = require( '@stdlib/blas/ext/base/gfill-by' );
 
-function fill() {
-    var rand = round( randu()*100.0 );
-    var sign = randu();
-    if ( sign < 0.5 ) {
-        sign = -1.0;
-    } else {
-        sign = 1.0;
-    }
-    return sign * rand;
-}
-
 var x = new Float64Array( 10 );
 console.log( x );
 
-gfillBy( x.length, x, 1, fill );
+gfillBy( x.length, x, 1, discreteUniform( -100, 100 ) );
 console.log( x );
 ```
 

lib/node_modules/@stdlib/blas/ext/base/gfill-by/docs/repl.txt

@@ -1,9 +1,9 @@
 
-{{alias}}( N, x, stride, clbk[, thisArg] )
+{{alias}}( N, x, strideX, clbk[, thisArg] )
     Fills a strided array according to a provided callback function.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use typed
     array views.
@@ -12,7 +12,7 @@
 
     The callback function is provided four arguments:
 
-    - value: array element.
+    - value: current array element.
     - aidx: array index.
     - sidx: strided index (offset + aidx*stride).
     - array: the input array.
@@ -28,8 +28,8 @@
     x: ArrayLikeObject
         Input array.
 
-    stride: integer
-        Index increment for `x`.
+    strideX: integer
+        Stride length.
 
     clbk: Function
         Callback function.
@@ -40,7 +40,7 @@
     Returns
     -------
     x: ArrayLikeObject
-        Input array `x`.
+        Input array.
 
     Examples
     --------
@@ -50,28 +50,26 @@
     > {{alias}}( x.length, x, 1, fill )
     [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ]
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2, fill )
+    > {{alias}}( 3, x, 2, fill )
     [ 5.0, 1.0, 5.0, -5.0, 5.0, -1.0, -3.0 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > {{alias}}( N, x1, 2, fill )
+    > {{alias}}( 3, x1, 2, fill )
     <Float64Array>[ 5.0, 3.0, 5.0, 5.0, 5.0 ]
     > x0
     <Float64Array>[ 1.0, 5.0, 3.0, 5.0, 5.0, 5.0 ]
 
 
-{{alias}}.ndarray( N, x, stride, offset, clbk[, thisArg] )
+{{alias}}.ndarray( N, x, strideX, offsetX, clbk[, thisArg] )
     Fills a strided array according to a provided callback function and using
     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
+    buffer, the offset parameter supports indexing semantics based on a
     starting index.
 
     Parameters
@@ -82,11 +80,11 @@
     x: ArrayLikeObject
         Input array.
 
-    stride: integer
-        Index increment for `x`.
+    strideX: integer
+        Stride length.
 
-    offset: integer
-        Starting index of `x`.
+    offsetX: integer
+        Starting index.
 
     clbk: Function
         Callback function.
@@ -97,7 +95,7 @@
     Returns
     -------
     x: ArrayLikeObject
-        Input array `x`.
+        Input array.
 
     Examples
     --------
@@ -109,8 +107,7 @@
 
     // Using an index offset:
     > x = [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1, fill )
+    > {{alias}}.ndarray( 3, x, 2, 1, fill )
     [ 1.0, 5.0, 3.0, 5.0, 5.0, 5.0 ]
 
     See Also