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CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-12-14)
+## Unreleased (2024-12-15)
 
 <section class="features">
 
@@ -33,6 +33,7 @@
 
 <details>
 
+-   [`e43aaa9`](https://github.com/stdlib-js/stdlib/commit/e43aaa95f790584e26f189ab52267108bb423231) - **docs:** update REPL namespace documentation [(#3917)](https://github.com/stdlib-js/stdlib/pull/3917) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`2c01b65`](https://github.com/stdlib-js/stdlib/commit/2c01b654e7fcfae9bde232c5fdda10d14f02e30e) - **feat:** add `ndfilterMap` to namespace _(by Athan Reines)_
 -   [`9ecc3d3`](https://github.com/stdlib-js/stdlib/commit/9ecc3d30b87a0d38cc7608a35024a15c920a2f29) - **feat:** add `ndreject` to namespace _(by Athan Reines)_
 -   [`05e89d4`](https://github.com/stdlib-js/stdlib/commit/05e89d4f958c0363eddb9e18e1610289e8d64377) - **docs:** update REPL namespace documentation [(#3901)](https://github.com/stdlib-js/stdlib/pull/3901) _(by stdlib-bot, Philipp Burckhardt)_

data/data.csv

@@ -1970,8 +1970,8 @@ base.strided.dstdevyc,"\nbase.strided.dstdevyc( N:integer, correction:number, x:
 base.strided.dstdevyc.ndarray,"\nbase.strided.dstdevyc.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array using a one-pass algorithm proposed by Youngs and Cramer and\n    alternative indexing semantics.\n"
 base.strided.dsum,"\nbase.strided.dsum( N:integer, x:Float64Array, stride:integer )\n    Computes the sum of double-precision floating-point strided array elements.\n"
 base.strided.dsum.ndarray,"\nbase.strided.dsum.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using alternative indexing semantics.\n"
-base.strided.dsumkbn,"\nbase.strided.dsumkbn( N:integer, x:Float64Array, stride:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using an improved Kahan–Babuška algorithm.\n"
-base.strided.dsumkbn.ndarray,"\nbase.strided.dsumkbn.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using an improved Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
+base.strided.dsumkbn,"\nbase.strided.dsumkbn( N:integer, x:Float64Array, strideX:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using an improved Kahan–Babuška algorithm.\n"
+base.strided.dsumkbn.ndarray,"\nbase.strided.dsumkbn.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using an improved Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
 base.strided.dsumkbn2,"\nbase.strided.dsumkbn2( N:integer, x:Float64Array, stride:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using a second-order iterative Kahan–Babuška algorithm.\n"
 base.strided.dsumkbn2.ndarray,"\nbase.strided.dsumkbn2.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using a second-order iterative Kahan–Babuška algorithm and alternative\n    indexing semantics.\n"
 base.strided.dsumors,"\nbase.strided.dsumors( N:integer, x:Float64Array, stride:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using ordinary recursive summation.\n"
@@ -4125,6 +4125,7 @@ ndat,"\nndat( x:ndarray[, ...indices:integer] )\n    Returns an ndarray element.
 ndempty,"\nndempty( shape:ArrayLikeObject<integer>|integer[, options:Object] )\n    Returns an uninitialized ndarray having a specified shape and data type.\n"
 ndemptyLike,"\nndemptyLike( x:ndarray[, options:Object] )\n    Returns an uninitialized ndarray having the same shape and data type as a\n    provided input ndarray.\n"
 ndfilter,"\nndfilter( x:ndarray[, options:Object], predicate:Function[, thisArg:any] )\n    Returns a shallow copy of an ndarray containing only those elements which\n    pass a test implemented by a predicate function.\n"
+ndfilterMap,"\nndfilterMap( x:ndarray[, options:Object], fcn:Function[, thisArg:any] )\n    Filters and maps elements in an input ndarray to elements in a new output\n    ndarray according to a callback function.\n"
 ndims,"\nndims( x:ndarray )\n    Returns the number of ndarray dimensions.\n"
 nditerColumnEntries,"\nnditerColumnEntries( x:ndarray[, options:Object] )\n    Returns an iterator which returns [index, column] pairs for each column in a\n    matrix (or stack of matrices).\n"
 nditerColumns,"\nnditerColumns( x:ndarray[, options:Object] )\n    Returns an iterator which iterates over each column in a matrix (or stack of\n    matrices).\n"