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Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-01-02)
+## Unreleased (2025-01-03)
 
 <section class="features">
 
@@ -34,6 +34,7 @@
 
 <details>
 
+-   [`02231a7`](https://github.com/stdlib-js/stdlib/commit/02231a75a23db0b74782be906dff51688df7e760) - **docs:** update REPL namespace documentation [(#4488)](https://github.com/stdlib-js/stdlib/pull/4488) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`8dfa851`](https://github.com/stdlib-js/stdlib/commit/8dfa8515051fc7dde731cd8373b17377c7f015b8) - **docs:** update REPL namespace documentation [(#4447)](https://github.com/stdlib-js/stdlib/pull/4447) _(by stdlib-bot)_
 -   [`109c303`](https://github.com/stdlib-js/stdlib/commit/109c3034461f70d36339206cf05237230aba0902) - **docs:** update REPL namespace documentation [(#4364)](https://github.com/stdlib-js/stdlib/pull/4364) _(by stdlib-bot)_
 -   [`7d8aba0`](https://github.com/stdlib-js/stdlib/commit/7d8aba04d7513814f09d725b81c0f953ad4c3b7f) - **feat:** add ndarray APIs and float32 constants to namespace _(by Athan Reines)_

data/data.csv

@@ -1734,10 +1734,10 @@ base.strided.dmax,"\nbase.strided.dmax( N:integer, x:Float64Array, strideX:integ
 base.strided.dmax.ndarray,"\nbase.strided.dmax.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.dmaxabs,"\nbase.strided.dmaxabs( N:integer, x:Float64Array, strideX:integer )\n    Computes the maximum absolute value of a double-precision floating-point\n    strided array.\n"
 base.strided.dmaxabs.ndarray,"\nbase.strided.dmaxabs.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum absolute value of a double-precision floating-point\n    strided array using alternative indexing semantics.\n"
-base.strided.dmaxabssorted,"\nbase.strided.dmaxabssorted( N:integer, x:Float64Array, stride:integer )\n    Computes the maximum absolute value of a sorted double-precision floating-\n    point strided array.\n"
-base.strided.dmaxabssorted.ndarray,"\nbase.strided.dmaxabssorted.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the maximum absolute value of a sorted double-precision floating-\n    point strided array using alternative indexing semantics.\n"
-base.strided.dmaxsorted,"\nbase.strided.dmaxsorted( N:integer, x:Float64Array, stride:integer )\n    Computes the maximum value of a sorted double-precision floating-point\n    strided array.\n"
-base.strided.dmaxsorted.ndarray,"\nbase.strided.dmaxsorted.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the maximum value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
+base.strided.dmaxabssorted,"\nbase.strided.dmaxabssorted( N:integer, x:Float64Array, strideX:integer )\n    Computes the maximum absolute value of a sorted double-precision floating-\n    point strided array.\n"
+base.strided.dmaxabssorted.ndarray,"\nbase.strided.dmaxabssorted.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum absolute value of a sorted double-precision floating-\n    point strided array using alternative indexing semantics.\n"
+base.strided.dmaxsorted,"\nbase.strided.dmaxsorted( N:integer, x:Float64Array, strideX:integer )\n    Computes the maximum value of a sorted double-precision floating-point\n    strided array.\n"
+base.strided.dmaxsorted.ndarray,"\nbase.strided.dmaxsorted.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.dmean,"\nbase.strided.dmean( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array.\n"
 base.strided.dmean.ndarray,"\nbase.strided.dmean.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.dmeankbn,"\nbase.strided.dmeankbn( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using an improved Kahan–Babuška algorithm.\n"
@@ -1764,16 +1764,16 @@ base.strided.dmeanvarpn,"\nbase.strided.dmeanvarpn( N:integer, c:number, x:Float
 base.strided.dmeanvarpn.ndarray,"\nbase.strided.dmeanvarpn.ndarray( N:integer, c:number, x:Float64Array, \n  strideX:integer, offsetX:integer, out:Float64Array, strideOut:integer, \n  offsetOut:integer )\n    Computes the mean and variance of a double-precision floating-point strided\n    array using a two-pass algorithm and alternative indexing semantics.\n"
 base.strided.dmeanwd,"\nbase.strided.dmeanwd( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using Welford's algorithm.\n"
 base.strided.dmeanwd.ndarray,"\nbase.strided.dmeanwd.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using Welford's algorithm and alternative indexing semantics.\n"
-base.strided.dmediansorted,"\nbase.strided.dmediansorted( N:integer, x:Float64Array, stride:integer )\n    Computes the median value of a sorted double-precision floating-point\n    strided array.\n"
-base.strided.dmediansorted.ndarray,"\nbase.strided.dmediansorted.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the median value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
+base.strided.dmediansorted,"\nbase.strided.dmediansorted( N:integer, x:Float64Array, strideX:integer )\n    Computes the median value of a sorted double-precision floating-point\n    strided array.\n"
+base.strided.dmediansorted.ndarray,"\nbase.strided.dmediansorted.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the median value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.dmidrange,"\nbase.strided.dmidrange( N:integer, x:Float64Array, strideX:integer )\n    Computes the mid-range of a double-precision floating-point strided array.\n"
 base.strided.dmidrange.ndarray,"\nbase.strided.dmidrange.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the mid-range of a double-precision floating-point strided array\n    using alternative indexing semantics.\n"
 base.strided.dmin,"\nbase.strided.dmin( N:integer, x:Float64Array, strideX:integer )\n    Computes the minimum value of a double-precision floating-point strided\n    array.\n"
 base.strided.dmin.ndarray,"\nbase.strided.dmin.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the minimum value of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.dminabs,"\nbase.strided.dminabs( N:integer, x:Float64Array, strideX:integer )\n    Computes the minimum absolute value of a double-precision floating-point\n    strided array.\n"
 base.strided.dminabs.ndarray,"\nbase.strided.dminabs.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the minimum absolute value of a double-precision floating-point\n    strided array using alternative indexing semantics.\n"
-base.strided.dminsorted,"\nbase.strided.dminsorted( N:integer, x:Float64Array, stride:integer )\n    Computes the minimum value of a sorted double-precision floating-point\n    strided array.\n"
-base.strided.dminsorted.ndarray,"\nbase.strided.dminsorted.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the minimum value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
+base.strided.dminsorted,"\nbase.strided.dminsorted( N:integer, x:Float64Array, strideX:integer )\n    Computes the minimum value of a sorted double-precision floating-point\n    strided array.\n"
+base.strided.dminsorted.ndarray,"\nbase.strided.dminsorted.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the minimum value of a sorted double-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.dmskabs,"\nbase.strided.dmskabs( N:integer, x:Float64Array, sx:integer, m:Uint8Array, \n  sm:integer, y:Float64Array, sy:integer )\n    Computes the absolute value for each element in a double-precision floating-\n    point strided array `x` according to a strided mask array and assigns the\n    results to elements in a double-precision floating-point strided array `y`.\n"
 base.strided.dmskabs.ndarray,"\nbase.strided.dmskabs.ndarray( N:integer, x:Float64Array, sx:integer, \n  ox:integer, m:Float64Array, sm:integer, om:integer, y:Float64Array, \n  sy:integer, oy:integer )\n    Computes the absolute value for each element in a double-precision floating-\n    point strided array `x` according to a strided mask array and assigns the\n    results to elements in a double-precision floating-point strided array `y`\n    using alternative indexing semantics.\n"
 base.strided.dmskabs2,"\nbase.strided.dmskabs2( N:integer, x:Float64Array, sx:integer, m:Uint8Array, \n  sm:integer, y:Float64Array, sy:integer )\n    Computes the squared absolute value for each element in a double-precision\n    floating-point strided array `x` according to a strided mask array and\n    assigns the results to elements in a double-precision floating-point\n    strided array `y`.\n"
@@ -1968,12 +1968,12 @@ base.strided.dstdevwd,"\nbase.strided.dstdevwd( N:integer, correction:number, x:
 base.strided.dstdevwd.ndarray,"\nbase.strided.dstdevwd.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 Welford's algorithm and alternative indexing semantics.\n"
 base.strided.dstdevyc,"\nbase.strided.dstdevyc( N:integer, correction:number, x:Float64Array, \n  stride: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.\n"
 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.dsum,"\nbase.strided.dsum( N:integer, x:Float64Array, strideX: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, strideX:integer, \n  offsetX: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, 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.dsumkbn2,"\nbase.strided.dsumkbn2( N:integer, x:Float64Array, strideX: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, strideX:integer, \n  offsetX: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"
 base.strided.dsumors.ndarray,"\nbase.strided.dsumors.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using ordinary recursive summation and alternative indexing semantics.\n"
 base.strided.dsumpw,"\nbase.strided.dsumpw( N:integer, x:Float64Array, stride:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using pairwise summation.\n"
@@ -2012,8 +2012,8 @@ base.strided.gapx,"\nbase.strided.gapx( N:integer, alpha:number, x:Array|TypedAr
 base.strided.gapx.ndarray,"\nbase.strided.gapx.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Adds a constant to each element in a strided array using alternative\n    indexing semantics.\n"
 base.strided.gapxsum,"\nbase.strided.gapxsum( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer )\n    Adds a constant to each strided array element and computes the sum.\n"
 base.strided.gapxsum.ndarray,"\nbase.strided.gapxsum.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Adds a constant to each strided array element and computes the sum using\n    alternative indexing semantics.\n"
-base.strided.gapxsumkbn,"\nbase.strided.gapxsumkbn( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer )\n    Adds a constant to each strided array element and computes the sum using an\n    improved Kahan–Babuška algorithm.\n"
-base.strided.gapxsumkbn.ndarray,"\nbase.strided.gapxsumkbn.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Adds a constant to each strided array element and computes the sum using an\n    improved Kahan–Babuška algorithm and alternative indexing semantics.\n"
+base.strided.gapxsumkbn,"\nbase.strided.gapxsumkbn( N:integer, alpha:number, x:Array|TypedArray, \n  strideX:integer )\n    Adds a scalar constant to each strided array element and computes the sum\n    using an improved Kahan–Babuška algorithm.\n"
+base.strided.gapxsumkbn.ndarray,"\nbase.strided.gapxsumkbn.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  strideX:integer, offsetX:integer )\n    Adds a scalar constant to each strided array element and computes the sum\n    using an improved Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
 base.strided.gapxsumkbn2,"\nbase.strided.gapxsumkbn2( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer )\n    Adds a constant to each strided array element and computes the sum using a\n    second-order iterative Kahan–Babuška algorithm.\n"
 base.strided.gapxsumkbn2.ndarray,"\nbase.strided.gapxsumkbn2.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Adds a constant to each strided array element and computes the sum using a\n    second-order iterative Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
 base.strided.gapxsumors,"\nbase.strided.gapxsumors( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer )\n    Adds a constant to each strided array element and computes the sum using\n    ordinary recursive summation.\n"
@@ -2289,10 +2289,10 @@ base.strided.smax,"\nbase.strided.smax( N:integer, x:Float32Array, strideX:integ
 base.strided.smax.ndarray,"\nbase.strided.smax.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a single-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.smaxabs,"\nbase.strided.smaxabs( N:integer, x:Float32Array, strideX:integer )\n    Computes the maximum absolute value of a single-precision floating-point\n    strided array.\n"
 base.strided.smaxabs.ndarray,"\nbase.strided.smaxabs.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum absolute value of a single-precision floating-point\n    strided array using alternative indexing semantics.\n"
-base.strided.smaxabssorted,"\nbase.strided.smaxabssorted( N:integer, x:Float32Array, stride:integer )\n    Computes the maximum absolute value of a sorted single-precision floating-\n    point strided array.\n"
-base.strided.smaxabssorted.ndarray,"\nbase.strided.smaxabssorted.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the maximum absolute value of a sorted single-precision floating-\n    point strided array using alternative indexing semantics.\n"
-base.strided.smaxsorted,"\nbase.strided.smaxsorted( N:integer, x:Float32Array, stride:integer )\n    Computes the maximum value of a sorted single-precision floating-point\n    strided array.\n"
-base.strided.smaxsorted.ndarray,"\nbase.strided.smaxsorted.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the maximum value of a sorted single-precision floating-point\n    strided array using alternative indexing semantics.\n"
+base.strided.smaxabssorted,"\nbase.strided.smaxabssorted( N:integer, x:Float32Array, strideX:integer )\n    Computes the maximum absolute value of a sorted single-precision floating-\n    point strided array.\n"
+base.strided.smaxabssorted.ndarray,"\nbase.strided.smaxabssorted.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum absolute value of a sorted single-precision floating-\n    point strided array using alternative indexing semantics.\n"
+base.strided.smaxsorted,"\nbase.strided.smaxsorted( N:integer, x:Float32Array, strideX:integer )\n    Computes the maximum value of a sorted single-precision floating-point\n    strided array.\n"
+base.strided.smaxsorted.ndarray,"\nbase.strided.smaxsorted.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a sorted single-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.smean,"\nbase.strided.smean( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array.\n"
 base.strided.smean.ndarray,"\nbase.strided.smean.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.smeankbn,"\nbase.strided.smeankbn( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using an improved Kahan–Babuška algorithm.\n"