feat: update namespace TypeScript declarations

PR-URL: #6315
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -51,6 +51,7 @@ import empty = require( '@stdlib/ndarray/base/empty' );
 import emptyLike = require( '@stdlib/ndarray/base/empty-like' );
 import expandDimensions = require( '@stdlib/ndarray/base/expand-dimensions' );
 import fill = require( '@stdlib/ndarray/base/fill' );
+import fillBy = require( '@stdlib/ndarray/base/fill-by' );
 import flag = require( '@stdlib/ndarray/base/flag' );
 import flags = require( '@stdlib/ndarray/base/flags' );
 import fliplr = require( '@stdlib/ndarray/base/fliplr' );
@@ -986,6 +987,49 @@ interface Namespace {
 	*/
 	fill: typeof fill;
 
+	/**
+	* Fills an input ndarray according to a callback function.
+	*
+	* @param x - input ndarray
+	* @param fcn - callback function
+	* @param thisArg - callback function execution context
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* function fcn() {
+	*     return 10.0;
+	* }
+	*
+	* // Create a data buffer:
+	* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	*
+	* // Define the shape of the input array:
+	* var shape = [ 3, 1, 2 ];
+	*
+	* // Define the array strides:
+	* var sx = [ 2, 2, 1 ];
+	*
+	* // Define the index offset:
+	* var ox = 0;
+	*
+	* // Create the input ndarray-like object:
+	* var x = {
+	*     'dtype': 'float64',
+	*     'data': xbuf,
+	*     'shape': shape,
+	*     'strides': sx,
+	*     'offset': ox,
+	*     'order': 'row-major'
+	* };
+	*
+	* ns.fillBy( x, fcn );
+	*
+	* console.log( x.data );
+	* // => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]
+	*/
+	fillBy: typeof fillBy;
+
 	/**
 	* Returns a specified flag for a provided ndarray.
 	*

lib/node_modules/@stdlib/ndarray/docs/types/index.d.ts

@@ -35,6 +35,7 @@ import dtypes = require( '@stdlib/ndarray/dtypes' );
 import empty = require( '@stdlib/ndarray/empty' );
 import emptyLike = require( '@stdlib/ndarray/empty-like' );
 import FancyArray = require( '@stdlib/ndarray/fancy' );
+import fill = require( '@stdlib/ndarray/fill' );
 import filter = require( '@stdlib/ndarray/filter' );
 import filterMap = require( '@stdlib/ndarray/filter-map' );
 import flag = require( '@stdlib/ndarray/flag' );
@@ -570,6 +571,28 @@ interface Namespace {
 	*/
 	FancyArray: typeof FancyArray;
 
+	/**
+	* Fills an input ndarray with a specified value.
+	*
+	* @param x - input ndarray
+	* @param value - scalar value
+	* @returns input ndarray
+	*
+	* @example
+	* var zeros = require( '@stdlib/ndarray/zeros' );
+	* var getData = require( '@stdlib/ndarray/data-buffer' );
+	*
+	* var x = zeros( [ 3, 1, 2 ], {
+	*     'dtype': 'float64'
+	* });
+	*
+	* ns.fill( x, 10.0 );
+	*
+	* console.log( getData( x ) );
+	* // => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]
+	*/
+	fill: typeof fill;
+
 	/**
 	* Returns a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.
 	*

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

@@ -2350,7 +2350,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -2903,9 +2903,9 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param mask - mask array
-	* @param strideMask - `mask` stride length
+	* @param strideMask - stride length for `x`
 	* @returns range
 	*
 	* @example