feat: update blas/base/ndarray TypeScript declarations

PR-URL: #11635
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -23,12 +23,15 @@
 import caxpy = require( '@stdlib/blas/base/ndarray/caxpy' );
 import dasum = require( '@stdlib/blas/base/ndarray/dasum' );
 import daxpy = require( '@stdlib/blas/base/ndarray/daxpy' );
+import dcopy = require( '@stdlib/blas/base/ndarray/dcopy' );
 import ddot = require( '@stdlib/blas/base/ndarray/ddot' );
 import gasum = require( '@stdlib/blas/base/ndarray/gasum' );
 import gaxpy = require( '@stdlib/blas/base/ndarray/gaxpy' );
+import gcopy = require( '@stdlib/blas/base/ndarray/gcopy' );
 import gdot = require( '@stdlib/blas/base/ndarray/gdot' );
 import sasum = require( '@stdlib/blas/base/ndarray/sasum' );
 import saxpy = require( '@stdlib/blas/base/ndarray/saxpy' );
+import scopy = require( '@stdlib/blas/base/ndarray/scopy' );
 import sdot = require( '@stdlib/blas/base/ndarray/sdot' );
 import zaxpy = require( '@stdlib/blas/base/ndarray/zaxpy' );
 
@@ -109,6 +112,30 @@ interface Namespace {
 	*/
 	daxpy: typeof daxpy;
 
+	/**
+	* Copies values from a one-dimensional double-precision floating-point ndarray `x` into a one-dimensional double-precision floating-point ndarray `y`.
+	*
+	* @param arrays - array-like object containing an input ndarray and an output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	* var x = new ndarray( 'float64', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+	* var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var z = ns.dcopy( [ x, y ] );
+	* // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
+	*
+	* var bool = ( z === y );
+	* // returns true
+	*/
+	dcopy: typeof dcopy;
+
 	/**
 	* Computes the dot product of two one-dimensional double-precision floating-point ndarrays.
 	*
@@ -173,6 +200,29 @@ interface Namespace {
 	*/
 	gaxpy: typeof gaxpy;
 
+	/**
+	* Copies values from a one-dimensional ndarray `x` into a one-dimensional ndarray `y`.
+	*
+	* @param arrays - array-like object containing an input ndarray and an output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+	* var x = new ndarray( 'generic', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var ybuf = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	* var y = new ndarray( 'generic', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var z = ns.gcopy( [ x, y ] );
+	* // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
+	*
+	* var bool = ( z === y );
+	* // returns true
+	*/
+	gcopy: typeof gcopy;
+
 	/**
 	* Computes the dot product of two one-dimensional ndarrays.
 	*
@@ -238,6 +288,30 @@ interface Namespace {
 	*/
 	saxpy: typeof saxpy;
 
+	/**
+	* Copies values from a one-dimensional single-precision floating-point ndarray `x` into a one-dimensional single-precision floating-point ndarray `y`.
+	*
+	* @param arrays - array-like object containing an input ndarray and an output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var Float32Array = require( '@stdlib/array/float32' );
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	* var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+	* var y = new ndarray( 'float32', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
+	*
+	* var z = ns.scopy( [ x, y ] );
+	* // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
+	*
+	* var bool = ( z === y );
+	* // returns true
+	*/
+	scopy: typeof scopy;
+
 	/**
 	* Computes the dot product of two one-dimensional single-precision floating-point ndarrays.
 	*