chore(sincosd): address commit comments

PR-URL: #5955
Closes: #5893

Reviewed-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Gururaj Gurram <[email protected]>

Author: jsndz

lib/node_modules/@stdlib/math/base/special/sincosd/README.md

@@ -128,8 +128,8 @@ stdlib_base_sincosd( 4.0, &sine, &cosine );
 
 The function accepts the following arguments:
 
--   **x**:      `[in] double` input value.
--   **sine**:   `[out] double*` destination for the sine.
+-   **x**: `[in] double` input value.
+-   **sine**: `[out] double*` destination for the sine.
 -   **cosine**: `[out] double*` destination for the cosine.
 
 ```c

lib/node_modules/@stdlib/math/base/special/sincosd/benchmark/c/native/benchmark.c

@@ -101,13 +101,13 @@ static double benchmark( void ) {
 	for ( i = 0; i < ITERATIONS; i++ ) {
 		x = ( 20.0 * rand_double() ) - 10.0;
 		stdlib_base_sincosd( x, &sine, &cosine );
-		if ( cosine != cosine || sine != sine) {
+		if ( cosine != cosine || sine != sine ) {
 			printf( "unexpected results\n" );
 			break;
 		}
 	}
 	elapsed = tic() - t;
-	if ( cosine != cosine || sine != sine) {
+	if ( cosine != cosine || sine != sine ) {
 		printf( "unexpected results\n" );
 	}
 	return elapsed;

lib/node_modules/@stdlib/math/base/special/sincosd/docs/types/index.d.ts

@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { Collection } from '@stdlib/types/array';
+import { NumericArray } from '@stdlib/types/array';
 
 interface sincosd {
 	/**
@@ -67,7 +67,7 @@ interface sincosd {
 	* var bool = ( v === out );
 	* // returns true
 	*/
-	assign<T = unknown>( x: number, out: Collection<T>, stride: number, offset: number ): Collection<T | number>;
+	assign<T extends NumericArray>( x: number, out: T, stride: number, offset: number ): T ;
 }
 
 /**

lib/node_modules/@stdlib/math/base/special/sincosd/docs/types/test.ts

@@ -49,7 +49,7 @@ import sincosd = require( './index' );
 {
 	const out = [ 0.0, 0.0 ];
 
-	sincosd.assign( 3.14e-319, out, 1, 0 ); // $ExpectType Collection<number>
+	sincosd.assign( 3.14e-319, out, 1, 0 ); // $ExpectType number[]
 }
 
 // The compiler throws an error if the `assign` method is provided a first argument which is not a number...

lib/node_modules/@stdlib/stats/base/dists/levy/median/benchmark/benchmark.js

@@ -22,9 +22,9 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var median = require( './../lib' );
 
@@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) {
 	mu = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		c[ i ] = ( randu() * 20.0 ) + EPS;
+		mu[ i ] = uniform( -50.0, 50.0 );
+		c[ i ] = uniform( EPS, 20.0 + EPS );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/levy/median/benchmark/benchmark.native.js

@@ -24,9 +24,9 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var EPS = require( '@stdlib/constants/float64/eps' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	mu = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		c[ i ] = ( randu() * 20.0 ) + EPS;
+		mu[ i ] = uniform( -50.0, 50.0 );
+		c[ i ] = uniform( EPS, 20.0 + EPS );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/levy/median/test/test.native.js

@@ -53,35 +53,35 @@ tape( 'main export is a function', opts, function test( t ) {
 
 tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
 	var y = median( NaN, 1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 	y = median( 1.0, NaN );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 	t.end();
 });
 
 tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = median( 2.0, 0.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( 2.0, -1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( 2.0, -1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( 1.0, NINF );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( PINF, NINF );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( NINF, NINF );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = median( NaN, NINF );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	t.end();
 });