revert: drop namespace TS edits and eslint-rule spacing change per review

Reverts:
- 0f14066 (operator spacing in `_tools/eslint/rules/line-closing-bracket-spacing`)
- 8634b93 (`cscal`/`gscal` in `blas/base/ndarray` namespace types)
- fa775c5 (`dcorrelation` in `stats/strided/distances` namespace types)

Namespace TS declarations are auto-generated and should not be hand-edited.

https://claude.ai/code/session_01PYMuhnRSCirT5T3Bn4o4Lj

Author: claude

lib/node_modules/@stdlib/_tools/eslint/rules/line-closing-bracket-spacing/lib/main.js

@@ -86,7 +86,7 @@ function main( context ) {
 			node.arguments.length > 0
 		) {
 			args = node.arguments;
-			lastElem = args[ args.length - 1 ];
+			lastElem = args[ args.length-1 ];
 			if (
 				lastElem &&
 				lastElem.type === 'ObjectExpression' &&
@@ -105,7 +105,7 @@ function main( context ) {
 				lastElem.type === 'ArrayExpression' &&
 				lastElem.elements.length > 0
 			) {
-				elem = lastElem.elements[ lastElem.elements.length - 1 ];
+				elem = lastElem.elements[ lastElem.elements.length-1 ];
 				if (
 					elem &&
 					elem.type === 'ObjectExpression' &&
@@ -138,7 +138,7 @@ function main( context ) {
 			node.type === 'ArrayExpression' &&
 			node.elements.length > 0
 		) {
-			elem = node.elements[ node.elements.length - 1 ];
+			elem = node.elements[ node.elements.length-1 ];
 			if (
 				elem &&
 				elem.type === 'ObjectExpression' &&

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

@@ -22,7 +22,6 @@
 
 import caxpy = require( '@stdlib/blas/base/ndarray/caxpy' );
 import ccopy = require( '@stdlib/blas/base/ndarray/ccopy' );
-import cscal = require( '@stdlib/blas/base/ndarray/cscal' );
 import cswap = require( '@stdlib/blas/base/ndarray/cswap' );
 import dasum = require( '@stdlib/blas/base/ndarray/dasum' );
 import daxpy = require( '@stdlib/blas/base/ndarray/daxpy' );
@@ -34,7 +33,6 @@ 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 gscal = require( '@stdlib/blas/base/ndarray/gscal' );
 import gswap = require( '@stdlib/blas/base/ndarray/gswap' );
 import sasum = require( '@stdlib/blas/base/ndarray/sasum' );
 import saxpy = require( '@stdlib/blas/base/ndarray/saxpy' );
@@ -111,38 +109,6 @@ interface Namespace {
 	*/
 	ccopy: typeof ccopy;
 
-	/**
-	* Multiplies a one-dimensional single-precision complex floating-point ndarray by a scalar constant.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a zero-dimensional ndarray containing a scalar constant.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns input ndarray
-	*
-	* @example
-	* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
-	* var Complex64 = require( '@stdlib/complex/float32/ctor' );
-	* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-	*
-	* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
-	*
-	* var alpha = scalar2ndarray( new Complex64( 2.0, 0.0 ), {
-	*     'dtype': 'complex64'
-	* });
-	*
-	* var y = ns.cscal( [ x, alpha ] );
-	* // returns <ndarray>[ <Complex64>[ 2.0, 4.0 ], <Complex64>[ 6.0, 8.0 ], <Complex64>[ 10.0, 12.0 ] ]
-	*
-	* var bool = ( y === x );
-	* // returns true
-	*/
-	cscal: typeof cscal;
-
 	/**
 	* Interchanges two one-dimensional single-precision complex floating-point ndarrays.
 	*
@@ -442,37 +408,6 @@ interface Namespace {
 	*/
 	gdot: typeof gdot;
 
-	/**
-	* Multiplies a one-dimensional ndarray by a scalar constant.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a zero-dimensional ndarray containing a scalar constant.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns input ndarray
-	*
-	* @example
-	* var vector = require( '@stdlib/ndarray/vector/ctor' );
-	* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-	*
-	* var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' );
-	*
-	* var alpha = scalar2ndarray( 5.0, {
-	*     'dtype': 'generic'
-	* });
-	*
-	* var y = ns.gscal( [ x, alpha ] );
-	* // returns <ndarray>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
-	*
-	* var bool = ( y === x );
-	* // returns true
-	*/
-	gscal: typeof gscal;
-
 	/**
 	* Interchanges two one-dimensional ndarrays.
 	*

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

@@ -22,7 +22,6 @@
 
 import dchebyshev = require( '@stdlib/stats/strided/distances/dchebyshev' );
 import dcityblock = require( '@stdlib/stats/strided/distances/dcityblock' );
-import dcorrelation = require( '@stdlib/stats/strided/distances/dcorrelation' );
 import dcosineDistance = require( '@stdlib/stats/strided/distances/dcosine-distance' );
 import dcosineSimilarity = require( '@stdlib/stats/strided/distances/dcosine-similarity' );
 import deuclidean = require( '@stdlib/stats/strided/distances/deuclidean' );
@@ -93,36 +92,6 @@ interface Namespace {
 	*/
 	dcityblock: typeof dcityblock;
 
-	/**
-	* Computes the correlation distance between two double-precision floating-point strided arrays.
-	*
-	* @param N - number of indexed elements
-	* @param x - first input array
-	* @param strideX - `x` stride length
-	* @param y - second input array
-	* @param strideY - `y` stride length
-	* @returns correlation distance
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	* var y = new Float64Array( [ 2.0, -2.0, 1.0 ] );
-	*
-	* var z = ns.dcorrelation( x.length, x, 1, y, 1 );
-	* // returns ~0.115
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	* var y = new Float64Array( [ 2.0, -2.0, 1.0 ] );
-	*
-	* var z = ns.dcorrelation.ndarray( x.length, x, 1, 0, y, 1, 0 );
-	* // returns ~0.115
-	*/
-	dcorrelation: typeof dcorrelation;
-
 	/**
 	* Computes the cosine distance between two double-precision floating-point strided arrays.
 	*