fix: run_affected_examples / Run changed examples (pull_request) and lint_changed_files / Lint Changed Files (pull_request)

Author: anoofmhd

lib/node_modules/@stdlib/stats/incr/nanmmeanvar/README.md

@@ -90,6 +90,7 @@ If provided an input value `x`, the accumulator function updates and returns the
 var incrnanmmeanvar = require( '@stdlib/stats/incr/nanmmeanvar' );
 var accumulator = incrnanmmeanvar( 3 );
 var out = accumulator();
+// => null
 
 // Fill the window (no NaNs yet)...
 out = accumulator( 2.0 ); // [2.0]
@@ -138,6 +139,7 @@ out = accumulator();
 ## Examples
 
 <!-- eslint no-undef: "error" -->
+
 ```javascript
 var randu = require( '@stdlib/random/base/randu' );
 var Float64Array = require( '@stdlib/array/float64' );
@@ -176,7 +178,6 @@ for ( i = 0; i < N; i++ ) {
 // Simulate streaming data updates:
 for ( i = 0; i < 100; i++ ) {
     for ( j = 0; j < N; j++ ) {
-
         // Generate random values, but occasionally insert NaN.
         // Any NaNs are ignored by the accumulator.
         v = ( randu() > 0.1 ) ? randu() * 100 : NaN;

lib/node_modules/@stdlib/stats/incr/nanmmeanvar/docs/repl.txt

@@ -10,10 +10,9 @@
     values. If not provided a value, the accumulator function returns the
     current moving accumulated values.
 
-    NaN values are ignored 
-    and do not affect the accumulator state.
+    NaN values are ignored and do not affect the accumulator state.
 
-    Until the window contains at least one valid (non-NaN) value, the 
+    Until the window contains at least one valid (non-NaN) value, the
     accumulator returns `null`.
     If the window contains only one valid value, the sample
     variance is `0.0`.

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

@@ -48,7 +48,7 @@ type accumulator = ( x?: number ) => ArrayLike<number> | null;
 * @param window - window size
 * @throws window size must be a positive integer
 * @returns accumulator function
-* 
+*
 */
 declare function incrnanmmeanvar( out: ArrayLike<number>, window: number ): accumulator;
 
@@ -64,7 +64,7 @@ declare function incrnanmmeanvar( out: ArrayLike<number>, window: number ): accu
 * @param window - window size
 * @throws window size must be a positive integer
 * @returns accumulator function
-* 
+*
 * @example
 * var incrnanmmeanvar = require( '@stdlib/stats/incr/nanmmeanvar' );
 *

lib/node_modules/@stdlib/stats/incr/nanmmeanvar/examples/index.js

@@ -35,4 +35,4 @@ for ( i = 0; i < data.length; i++ ) {
 	console.log( 'x: %d -> mean: %d, variance: %d', data[ i ], out ? out[0] : null, out ? out[1] : null );
 }
 
-console.log( '\nCurrent values:', acc() );
+console.log( '\nCurrent values:', acc() );

lib/node_modules/@stdlib/stats/incr/nanmmeanvar/package.json

@@ -77,4 +77,4 @@
     "window",
     "moving"
   ]
-}
+}

lib/node_modules/@stdlib/stats/incr/nanmmeanvar/test/test.js

@@ -296,45 +296,45 @@ tape( 'if provided `NaN`, the accumulator skips the value and returns the previo
 
 	data = [
 		NaN,
-	    3.14,
-	    3.14,
-	    NaN,
-	    3.14,
-	    3.14,
-	    3.14,
-	    NaN,
-	    3.14,
-	    3.14,
-	    3.14,
-	    NaN,
-	    3.14,
-	3.14,
-	NaN,
-	NaN,
-	NaN,
-	NaN,
-	3.14
+		3.14,
+		3.14,
+		NaN,
+		3.14,
+		3.14,
+		3.14,
+		NaN,
+		3.14,
+		3.14,
+		3.14,
+		NaN,
+		3.14,
+		3.14,
+		NaN,
+		NaN,
+		NaN,
+		NaN,
+		3.14
 	];
 	expected = [
 		null,
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ],
-	[ 3.14, 0.0 ]
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ],
+		[ 3.14, 0.0 ]
 	];
 	for ( i = 0; i < data.length; i++ ) {
 		v = acc( data[ i ] );