feat: add support for accessor arrays and refactor stats/base/mediansorted

lib/node_modules/@stdlib/stats/base/mediansorted/README.md

@@ -36,7 +36,7 @@ limitations under the License.
 var mediansorted = require( '@stdlib/stats/base/mediansorted' );
 ```
 
-#### mediansorted( N, x, stride )
+#### mediansorted( N, x, strideX )
 
 Computes the median value of a sorted strided array `x`.
 
@@ -54,17 +54,14 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the median value of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the median value of every other element in `x`,
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 1.0, 2.0, 2.0, -7.0, 3.0, 3.0, 4.0, 2.0 ];
-var N = floor( x.length / 2 );
 
-var v = mediansorted( N, x, 2 );
+var v = mediansorted( 4, x, 2 );
 // returns 2.5
 ```
 
@@ -74,18 +71,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = mediansorted( N, x1, 2 );
+var v = mediansorted( 4, x1, 2 );
 // returns 2.0
 ```
 
-#### mediansorted.ndarray( N, x, stride, offset )
+#### mediansorted.ndarray( N, x, strideX, offsetX )
 
 Computes the median value of a sorted strided array using alternative indexing semantics.
 
@@ -98,17 +92,14 @@ var v = mediansorted.ndarray( x.length, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the median value for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the median value for every other value in `x` starting from the second value
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = mediansorted.ndarray( N, x, 2, 1 );
+var v = mediansorted.ndarray( 4, x, 2, 1 );
 // returns 2.0
 ```
 
@@ -122,6 +113,7 @@ var v = mediansorted.ndarray( N, x, 2, 1 );
 
 -   If `N <= 0`, both functions return `NaN`.
 -   The input strided array must be sorted in either **strictly** ascending or descending order.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 
 </section>
 
@@ -134,16 +126,10 @@ var v = mediansorted.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var Float64Array = require( '@stdlib/array/float64' );
+var linspace = require( '@stdlib/array/base/linspace' );
 var mediansorted = require( '@stdlib/stats/base/mediansorted' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = i - 5.0;
-}
+var x = linspace( -5.0, 5.0, 10 );
 console.log( x );
 
 var v = mediansorted( x.length, x, 1 );
@@ -178,6 +164,8 @@ console.log( v );
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
 <!-- <related-links> -->
 
 [@stdlib/stats/strided/dmediansorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmediansorted

lib/node_modules/@stdlib/stats/base/mediansorted/benchmark/benchmark.js

@@ -22,6 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var linspace = require( '@stdlib/array/base/linspace' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var mediansorted = require( './../lib/mediansorted.js' );
@@ -37,13 +38,7 @@ var mediansorted = require( './../lib/mediansorted.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( i );
-	}
+	var x = linspace( 0.0, len, len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/mediansorted/benchmark/benchmark.ndarray.js

@@ -22,6 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var linspace = require( '@stdlib/array/base/linspace' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var mediansorted = require( './../lib/ndarray.js' );
@@ -37,13 +38,7 @@ var mediansorted = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( i );
-	}
+	var x = linspace( 0.0, len, len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/mediansorted/docs/repl.txt

@@ -1,12 +1,12 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the median value of a sorted strided array.
 
     The input strided array must be sorted in either strictly ascending or
     descending order.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -21,8 +21,8 @@
     x: Array<number>|TypedArray
         Sorted input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -36,20 +36,19 @@
     > {{alias}}( x.length, x, 1 )
     2.0
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2 )
+    > {{alias}}( 3, x, 2 )
     1.0
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, 3.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > {{alias}}( N, x1, 2 )
+    > {{alias}}( 3, x1, 2 )
     2.0
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the median value of a sorted strided array using alternative
     indexing semantics.
 
@@ -65,10 +64,10 @@
     x: Array<number>|TypedArray
         Sorted input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -85,8 +84,7 @@
 
     // Using offset parameter:
     > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, 3.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     2.0
 
     See Also

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

@@ -20,7 +20,12 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { NumericArray } from '@stdlib/types/array';
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
 
 /**
 * Interface describing `mediansorted`.
@@ -31,7 +36,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - sorted input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns median value
 	*
 	* @example
@@ -40,15 +45,15 @@ interface Routine {
 	* var v = mediansorted( x.length, x, 1 );
 	* // returns 2.0
 	*/
-	( N: number, x: NumericArray, stride: number ): number;
+	( N: number, x: InputArray, strideX: number ): number;
 
 	/**
 	* Computes the median value of a sorted strided array using alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - sorted input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns median value
 	*
 	* @example
@@ -57,15 +62,15 @@ interface Routine {
 	* var v = mediansorted.ndarray( x.length, x, 1, 0 );
 	* // returns 2.0
 	*/
-	ndarray( N: number, x: NumericArray, stride: number, offset: number ): number;
+	ndarray( N: number, x: InputArray, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the median value of a sorted strided array.
 *
 * @param N - number of indexed elements
 * @param x - sorted input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns median value
 *
 * @example

lib/node_modules/@stdlib/stats/base/mediansorted/docs/types/test.ts

@@ -16,6 +16,7 @@
 * limitations under the License.
 */
 
+import AccessorArray = require( '@stdlib/array/base/accessor' );
 import mediansorted = require( './index' );
 
 
@@ -26,6 +27,7 @@ import mediansorted = require( './index' );
 	const x = new Float64Array( 10 );
 
 	mediansorted( x.length, x, 1 ); // $ExpectType number
+	mediansorted( x.length, new AccessorArray( x ), 1 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a number...
@@ -86,6 +88,7 @@ import mediansorted = require( './index' );
 	const x = new Float64Array( 10 );
 
 	mediansorted.ndarray( x.length, x, 1, 0 ); // $ExpectType number
+	mediansorted.ndarray( x.length, new AccessorArray( x ), 1, 0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...

lib/node_modules/@stdlib/stats/base/mediansorted/examples/index.js

@@ -18,16 +18,10 @@
 
 'use strict';
 
-var Float64Array = require( '@stdlib/array/float64' );
+var linspace = require( '@stdlib/array/base/linspace' );
 var mediansorted = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = i - 5.0;
-}
+var x = linspace( -5.0, 5.0, 10 );
 console.log( x );
 
 var v = mediansorted( x.length, x, 1 );