Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2026-04-17)
+## Unreleased (2026-04-18)
 
 <section class="features">
 
@@ -3796,6 +3796,8 @@ A total of 586 issues were closed in this release:
 
 <details>
 
+-   [`00385f6`](https://github.com/stdlib-js/stdlib/commit/00385f618ba07beba4fa4be45feee0f55591aa5f) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/dcumin` [(#11521)](https://github.com/stdlib-js/stdlib/pull/11521) _(by Uday Kakade)_
+-   [`2505815`](https://github.com/stdlib-js/stdlib/commit/25058156cf7b1138c5c33209a5143100c376b46d) - **docs:** update namespace table of contents [(#11520)](https://github.com/stdlib-js/stdlib/pull/11520) _(by stdlib-bot)_
 -   [`e616ec3`](https://github.com/stdlib-js/stdlib/commit/e616ec3c2b724c7b94937c8b892f54d5ef437719) - **docs:** capitalize `Pearson` and close backtick in `stats/strided/dpcorrwd` [(#11515)](https://github.com/stdlib-js/stdlib/pull/11515) _(by Philipp Burckhardt)_
 -   [`d3427df`](https://github.com/stdlib-js/stdlib/commit/d3427df39ee3407e76b32095ec622edf1c7d084e) - **remove:** remove `stats/strided/nancount` _(by Athan Reines)_
 -   [`6a5ee21`](https://github.com/stdlib-js/stdlib/commit/6a5ee212292a52a89ddd3e634809059a011784fa) - **remove:** remove `nancount` from namespace _(by Athan Reines)_

base/ndarray/README.md

@@ -119,6 +119,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`mediansorted( arrays )`][@stdlib/stats/base/ndarray/mediansorted]</span><span class="delimiter">: </span><span class="description">compute the median value of a sorted one-dimensional ndarray.</span>
 -   <span class="signature">[`midrangeBy( arrays, clbk[, thisArg ] )`][@stdlib/stats/base/ndarray/midrange-by]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a one-dimensional ndarray via a callback function.</span>
 -   <span class="signature">[`midrange( arrays )`][@stdlib/stats/base/ndarray/midrange]</span><span class="delimiter">: </span><span class="description">compute the mid-range of a one-dimensional ndarray.</span>
+-   <span class="signature">[`midrangeabs( arrays )`][@stdlib/stats/base/ndarray/midrangeabs]</span><span class="delimiter">: </span><span class="description">compute the mid-range of absolute values of a one-dimensional ndarray.</span>
 -   <span class="signature">[`minBy( arrays, clbk[, thisArg ] )`][@stdlib/stats/base/ndarray/min-by]</span><span class="delimiter">: </span><span class="description">compute the minimum value of a one-dimensional ndarray via a callback function.</span>
 -   <span class="signature">[`min( arrays )`][@stdlib/stats/base/ndarray/min]</span><span class="delimiter">: </span><span class="description">compute the minimum value of a one-dimensional ndarray.</span>
 -   <span class="signature">[`minabs( arrays )`][@stdlib/stats/base/ndarray/minabs]</span><span class="delimiter">: </span><span class="description">compute the minimum absolute value of a one-dimensional ndarray.</span>
@@ -410,6 +411,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/ndarray/midrange]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/midrange
 
+[@stdlib/stats/base/ndarray/midrangeabs]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/midrangeabs
+
 [@stdlib/stats/base/ndarray/min-by]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/min-by
 
 [@stdlib/stats/base/ndarray/min]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/min

base/ndarray/dcumin/README.md

@@ -42,7 +42,6 @@ Computes the cumulative minimum value of a one-dimensional double-precision floa
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
 var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -52,13 +51,10 @@ var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
 var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
 var v = dcumin( [ x, y ] );
-// returns <ndarray>
+// returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 
 var bool = ( v === y );
 // returns true
-
-var arr = ndarray2array( v );
-// returns [ 1.0, 1.0, 1.0, 1.0 ]
 ```
 
 The function has the following parameters:

base/ndarray/dcumin/docs/repl.txt

@@ -28,9 +28,8 @@
     > var ord = 'row-major';
     > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
     > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
-    > {{alias}}( [ x, y ] );
-    > {{alias:@stdlib/ndarray/to-array}}( y )
-    [ 1.0, -2.0, -2.0 ]
+    > {{alias}}( [ x, y ] )
+    <ndarray>[ 1.0, -2.0, -2.0 ]
 
     See Also
     --------

base/ndarray/dcumin/docs/types/index.d.ts

@@ -30,7 +30,6 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
 * var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -40,13 +39,10 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 * var y = new ndarray( 'float64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 declare function dcumin( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
 

base/ndarray/dcumin/lib/index.js

@@ -25,7 +25,6 @@
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var dcumin = require( '@stdlib/stats/base/ndarray/dcumin' );
 *
@@ -36,13 +35,10 @@
 * var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 
 // MODULES //

base/ndarray/dcumin/lib/main.js

@@ -37,7 +37,6 @@ var strided = require( './../../../../strided/dcumin' ).ndarray;
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
 * var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
@@ -47,13 +46,10 @@ var strided = require( './../../../../strided/dcumin' ).ndarray;
 * var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = dcumin( [ x, y ] );
-* // returns <ndarray>
+* // returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
 *
 * var bool = ( v === y );
 * // returns true
-*
-* var arr = ndarray2array( v );
-* // returns [ 1.0, 1.0, 1.0, 1.0 ]
 */
 function dcumin( arrays ) {
 	var x = arrays[ 0 ];

strided/README.md

@@ -90,7 +90,6 @@ The namespace exports the following:
 -   <span class="signature">[`dmskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a double-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
--   <span class="signature">[`dnancount( N, x, strideX )`][@stdlib/stats/strided/dnancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dnanmax( N, x, strideX )`][@stdlib/stats/strided/dnanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanmaxabs( N, x, strideX )`][@stdlib/stats/strided/dnanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanmean( N, x, strideX )`][@stdlib/stats/strided/dnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -172,6 +171,7 @@ The namespace exports the following:
 -   <span class="signature">[`mediansorted( N, x, strideX )`][@stdlib/stats/strided/mediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted strided array.</span>
 -   <span class="signature">[`midrangeBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/midrange-by]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a strided array via a callback function.</span>
 -   <span class="signature">[`midrange( N, x, strideX )`][@stdlib/stats/strided/midrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a strided array.</span>
+-   <span class="signature">[`midrangeabs( N, x, strideX )`][@stdlib/stats/strided/midrangeabs]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of absolute values of a strided array.</span>
 -   <span class="signature">[`minBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
 -   <span class="signature">[`min( N, x, strideX )`][@stdlib/stats/strided/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>
 -   <span class="signature">[`minabs( N, x, strideX )`][@stdlib/stats/strided/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
@@ -182,7 +182,6 @@ The namespace exports the following:
 -   <span class="signature">[`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask.</span>
 -   <span class="signature">[`mskminabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array according to a mask.</span>
 -   <span class="signature">[`mskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask.</span>
--   <span class="signature">[`nancount( N, x, strideX )`][@stdlib/stats/strided/nancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a strided array.</span>
 -   <span class="signature">[`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/nanmax-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmax( N, x, strideX )`][@stdlib/stats/strided/nanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmaxabs( N, x, strideX )`][@stdlib/stats/strided/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array, ignoring `NaN` values.</span>
@@ -248,7 +247,6 @@ The namespace exports the following:
 -   <span class="signature">[`smskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskmidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
--   <span class="signature">[`snancount( N, x, strideX )`][@stdlib/stats/strided/snancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a single-precision floating-point strided array.</span>
 -   <span class="signature">[`snanmax( N, x, strideX )`][@stdlib/stats/strided/snanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/strided/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmean( N, x, strideX )`][@stdlib/stats/strided/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -417,8 +415,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dmskrange]: https://github.com/stdlib-js/stats/tree/main/strided/dmskrange
 
-[@stdlib/stats/strided/dnancount]: https://github.com/stdlib-js/stats/tree/main/strided/dnancount
-
 [@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stats/tree/main/strided/dnanmax
 
 [@stdlib/stats/strided/dnanmaxabs]: https://github.com/stdlib-js/stats/tree/main/strided/dnanmaxabs
@@ -581,6 +577,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/midrange]: https://github.com/stdlib-js/stats/tree/main/strided/midrange
 
+[@stdlib/stats/strided/midrangeabs]: https://github.com/stdlib-js/stats/tree/main/strided/midrangeabs
+
 [@stdlib/stats/strided/min-by]: https://github.com/stdlib-js/stats/tree/main/strided/min-by
 
 [@stdlib/stats/strided/min]: https://github.com/stdlib-js/stats/tree/main/strided/min
@@ -601,8 +599,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/mskrange]: https://github.com/stdlib-js/stats/tree/main/strided/mskrange
 
-[@stdlib/stats/strided/nancount]: https://github.com/stdlib-js/stats/tree/main/strided/nancount
-
 [@stdlib/stats/strided/nanmax-by]: https://github.com/stdlib-js/stats/tree/main/strided/nanmax-by
 
 [@stdlib/stats/strided/nanmax]: https://github.com/stdlib-js/stats/tree/main/strided/nanmax
@@ -733,8 +729,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/smskrange]: https://github.com/stdlib-js/stats/tree/main/strided/smskrange
 
-[@stdlib/stats/strided/snancount]: https://github.com/stdlib-js/stats/tree/main/strided/snancount
-
 [@stdlib/stats/strided/snanmax]: https://github.com/stdlib-js/stats/tree/main/strided/snanmax
 
 [@stdlib/stats/strided/snanmaxabs]: https://github.com/stdlib-js/stats/tree/main/strided/snanmaxabs