fix: lint error

Author: iampratik13

lib/node_modules/@stdlib/stats/nanminabs/README.md

@@ -43,7 +43,7 @@ var y = nanminabs( x );
 // returns <ndarray>
 
 var v = y.get();
-// returns -1.0
+// returns 1.0
 ```
 
 The function has the following parameters:
@@ -76,23 +76,23 @@ var y = nanminabs( x, {
 // returns <ndarray>
 
 v = ndarray2array( y );
-// returns [ -1.0, 2.0 ]
+// returns [ 1.0, 2.0 ]
 
 y = nanminabs( x, {
     'dims': [ 1 ]
 });
 // returns <ndarray>
 
 v = ndarray2array( y );
-// returns [ -1.0, 4.0 ]
+// returns [ 1.0, 4.0 ]
 
 y = nanminabs( x, {
     'dims': [ 0, 1 ]
 });
 // returns <ndarray>
 
 v = y.get();
-// returns -1.0
+// returns 1.0
 ```
 
 By default, the function excludes reduced dimensions from the output [ndarray][@stdlib/ndarray/ctor]. To include the reduced dimensions as singleton dimensions, set the `keepdims` option to `true`.
@@ -116,7 +116,7 @@ var y = nanminabs( x, {
 // returns <ndarray>
 
 v = ndarray2array( y );
-// returns [ [ -1.0, 2.0 ] ]
+// returns [ [ 1.0, 2.0 ] ]
 
 y = nanminabs( x, {
     'dims': [ 1 ],
@@ -125,7 +125,7 @@ y = nanminabs( x, {
 // returns <ndarray>
 
 v = ndarray2array( y );
-// returns [ [ -1.0 ], [ 4.0 ] ]
+// returns [ [ 1.0 ], [ 4.0 ] ]
 
 y = nanminabs( x, {
     'dims': [ 0, 1 ],
@@ -134,7 +134,7 @@ y = nanminabs( x, {
 // returns <ndarray>
 
 v = ndarray2array( y );
-// returns [ [ -1.0 ] ]
+// returns [ [ 1.0 ] ]
 ```
 
 By default, the function returns an [ndarray][@stdlib/ndarray/ctor] having a [data type][@stdlib/ndarray/dtypes] determined by the function's output data type [policy][@stdlib/ndarray/output-dtype-policies]. To override the default behavior, set the `dtype` option.
@@ -171,7 +171,7 @@ var out = nanminabs.assign( x, y );
 // returns <ndarray>
 
 var v = out.get();
-// returns -1.0
+// returns 1.0
 
 var bool = ( out === y );
 // returns true

lib/node_modules/@stdlib/stats/nanminabs/docs/repl.txt

@@ -1,6 +1,6 @@
 
 {{alias}}( x[, options] )
-    Computes the minimum absolute value along one or more ndarray dimensions, 
+    Computes the minimum absolute value along one or more ndarray dimensions,
     ignoring `NaN` values.
 
     Parameters

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

@@ -78,7 +78,7 @@ interface Unary {
 	* // returns <ndarray>
 	*
 	* var v = y.get();
-	* // returns -1.0
+	* // returns 1.0
 	*/
 	<T = unknown, U = unknown>( x: InputArray<T>, options?: Options ): OutputArray<U>; // NOTE: we lose type specificity here, but retaining specificity would likely be difficult and/or tedious to completely enumerate, as the output ndarray data type is dependent on how `x` interacts with output data type policy and whether that policy has been overridden by `options.dtype`.
 
@@ -101,7 +101,7 @@ interface Unary {
 	* // returns <ndarray>
 	*
 	* var v = out.get();
-	* // returns -1.0
+	* // returns 1.0
 	*
 	* var bool = ( out === y );
 	* // returns true
@@ -125,7 +125,7 @@ interface Unary {
 * // returns <ndarray>
 *
 * var v = y.get();
-* // returns -1.0
+* // returns 1.0
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
@@ -138,7 +138,7 @@ interface Unary {
 * // returns <ndarray>
 *
 * var v = out.get();
-* // returns -1.0
+* // returns 1.0
 *
 * var bool = ( out === y );
 * // returns true