Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-02-06)
+## Unreleased (2025-02-09)
 
 <section class="packages">
 
@@ -219,6 +219,7 @@ A total of 4 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`502c87c`](https://github.com/stdlib-js/stdlib/commit/502c87cea01e40e40b7cb5bba335a943e148e613) - **docs:** update REPL namespace documentation [(#5131)](https://github.com/stdlib-js/stdlib/pull/5131) _(by stdlib-bot)_
 -   [`51c17ee`](https://github.com/stdlib-js/stdlib/commit/51c17eeee374825b340a660b98056e24eab987f5) - **docs:** update REPL namespace documentation [(#5076)](https://github.com/stdlib-js/stdlib/pull/5076) _(by stdlib-bot)_
 -   [`f52e3b9`](https://github.com/stdlib-js/stdlib/commit/f52e3b993e5a8f9763207968f0ac7c2dc80f2554) - **docs:** update REPL namespace documentation [(#5061)](https://github.com/stdlib-js/stdlib/pull/5061) _(by stdlib-bot)_
 -   [`19d5ec9`](https://github.com/stdlib-js/stdlib/commit/19d5ec9452cc6e106fea60c2900d021391beedff) - **feat:** add logic for eager evaluation of additional expression types [(#5053)](https://github.com/stdlib-js/stdlib/pull/5053) _(by Vinit Pandit)_

CONTRIBUTORS

@@ -126,5 +126,6 @@ Xiaochuan Ye <tap91624@gmail.com>
 Yaswanth Kosuru <116426380+yaswanthkosuru@users.noreply.github.com>
 Yernar Yergaziyev <yernar.yergaziyev@erg.kz>
 olenkabilonizhka <62379231+olenkabilonizhka@users.noreply.github.com>
+pranav-1720 <123018993+pranav-1720@users.noreply.github.com>
 rainn <88160429+AmCodesLame@users.noreply.github.com>
 rei2hu <reimu@reimu.ws>

code-blocks/data/data.csv

@@ -1 +1 @@
-["Aadish Jain","Aayush Khanna","Abhijit Raut","Adarsh Palaskar","Aditya Sapra","Ahmed Atwa","Ahmed Kashkoush","Ahmed Khaled","Aleksandr","Ali Salesi","Aman Bhansali","Amit Jimiwal","Anudeep Sanapala","Athan Reines","Ayaka","Brendan Graetz","Bruno Fenzl","Bryan Elee","Chinmay Joshi","Christopher Dambamuromo","Dan Rose","Daniel Killenberger","Daniel Yu","Debashis Maharana","Desh Deepak Kant","Dev Goel","Dhruv Arvind Singh","Divyansh Seth","Dominic Lim","Dominik Moritz","Dorrin Sotoudeh","EuniceSim142","Frank Kovacs","Golden Kumar","Gunj Joshi","Gururaj Gurram","HarshaNP","Harshita Kalani","Hridyanshu","Jaimin Godhani","James Gelok","Jaysukh Makvana","Jenish Thapa","Jithin KS","Joel Mathew Koshy","Joey Reed","Jordan Gallivan","Joris Labie","Justin Dennison","Karan Anand","Karthik Prakash","Kohantika Nath","Krishnendu Das","Kshitij-Dale","Lovelin Dhoni J B","Manik Sharma","Manvith M","Marcus Fantham","Matt Cochrane","Mihir Pandit","Milan Raj","Mohammad Bin Aftab","Mohammad Kaif","Momtchil Momtchev","Muhammad Haris","Naresh Jagadeesan","Naveen Kumar","Neeraj Pathak","Nishant Shinde","Nithin Katta","Nourhan Hasan","Ognjen Jevremović","Oneday12323","Ori Miles","Philipp Burckhardt","Prajwal Kulkarni","Pranav Goswami","Pranjal Jha","Prashant Kumar Yadav","Pratik Singh","Pratyush Kumar Chouhan","Priyansh Prajapati","Priyanshu Agarwal","Pushpendra Chandravanshi","Raunak Kumar Gupta","Rejoan Sardar","Ricky Reusser","Ridam Garg","Rishav","Robert Gislason","Roman Stetsyk","Rutam Kathale","Ruthwik Chikoti","Ryan Seal","Rylan Yang","Sai Srikar Dumpeti","Sarthak Paandey","Saurabh Singh","Seyyed Parsa Neshaei","Shashank Shekhar Singh","Shivam Ahir","Shraddheya Shendre","Shubh Mehta","Shubham Mishra","Sivam Das","Snehil Shah","Soumajit Chatterjee","Spandan Barve","Stephannie Jiménez Gacha","Suraj Kumar","Tirtadwipa Manunggal","Tudor Pagu","Tufailahmed Bargir","Utkarsh","Utkarsh Raj","UtkershBasnet","Vaibhav Patel","Varad Gupta","Vinit Pandit","Vivek Maurya","Xiaochuan Ye","Yaswanth Kosuru","Yernar Yergaziyev","olenkabilonizhka","rainn","rei2hu"]
+["Aadish Jain","Aayush Khanna","Abhijit Raut","Adarsh Palaskar","Aditya Sapra","Ahmed Atwa","Ahmed Kashkoush","Ahmed Khaled","Aleksandr","Ali Salesi","Aman Bhansali","Amit Jimiwal","Anudeep Sanapala","Athan Reines","Ayaka","Brendan Graetz","Bruno Fenzl","Bryan Elee","Chinmay Joshi","Christopher Dambamuromo","Dan Rose","Daniel Killenberger","Daniel Yu","Debashis Maharana","Desh Deepak Kant","Dev Goel","Dhruv Arvind Singh","Divyansh Seth","Dominic Lim","Dominik Moritz","Dorrin Sotoudeh","EuniceSim142","Frank Kovacs","Golden Kumar","Gunj Joshi","Gururaj Gurram","HarshaNP","Harshita Kalani","Hridyanshu","Jaimin Godhani","James Gelok","Jaysukh Makvana","Jenish Thapa","Jithin KS","Joel Mathew Koshy","Joey Reed","Jordan Gallivan","Joris Labie","Justin Dennison","Karan Anand","Karthik Prakash","Kohantika Nath","Krishnendu Das","Kshitij-Dale","Lovelin Dhoni J B","Manik Sharma","Manvith M","Marcus Fantham","Matt Cochrane","Mihir Pandit","Milan Raj","Mohammad Bin Aftab","Mohammad Kaif","Momtchil Momtchev","Muhammad Haris","Naresh Jagadeesan","Naveen Kumar","Neeraj Pathak","Nishant Shinde","Nithin Katta","Nourhan Hasan","Ognjen Jevremović","Oneday12323","Ori Miles","Philipp Burckhardt","Prajwal Kulkarni","Pranav Goswami","Pranjal Jha","Prashant Kumar Yadav","Pratik Singh","Pratyush Kumar Chouhan","Priyansh Prajapati","Priyanshu Agarwal","Pushpendra Chandravanshi","Raunak Kumar Gupta","Rejoan Sardar","Ricky Reusser","Ridam Garg","Rishav","Robert Gislason","Roman Stetsyk","Rutam Kathale","Ruthwik Chikoti","Ryan Seal","Rylan Yang","Sai Srikar Dumpeti","Sarthak Paandey","Saurabh Singh","Seyyed Parsa Neshaei","Shashank Shekhar Singh","Shivam Ahir","Shraddheya Shendre","Shubh Mehta","Shubham Mishra","Sivam Das","Snehil Shah","Soumajit Chatterjee","Spandan Barve","Stephannie Jiménez Gacha","Suraj Kumar","Tirtadwipa Manunggal","Tudor Pagu","Tufailahmed Bargir","Utkarsh","Utkarsh Raj","UtkershBasnet","Vaibhav Patel","Varad Gupta","Vinit Pandit","Vivek Maurya","Xiaochuan Ye","Yaswanth Kosuru","Yernar Yergaziyev","olenkabilonizhka","pranav-1720","rainn","rei2hu"]

code-blocks/data/data.json

@@ -1930,8 +1930,8 @@ base.strided.dsnanmeanors,"\nbase.strided.dsnanmeanors( N:integer, x:Float32Arra
 base.strided.dsnanmeanors.ndarray,"\nbase.strided.dsnanmeanors.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using ordinary recursive summation with\n    extended accumulation and alternative indexing semantics.\n"
 base.strided.dsnanmeanpn,"\nbase.strided.dsnanmeanpn( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values, using a two-pass error correction algorithm\n    with extended accumulation, and returning an extended precision result.\n"
 base.strided.dsnanmeanpn.ndarray,"\nbase.strided.dsnanmeanpn.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using a two-pass error correction algorithm\n    with extended accumulation and alternative indexing semantics.\n"
-base.strided.dsnanmeanwd,"\nbase.strided.dsnanmeanwd( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values, using Welford's algorithm with extended\n    accumulation, and returning an extended precision result.\n"
-base.strided.dsnanmeanwd.ndarray,"\nbase.strided.dsnanmeanwd.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using Welford's algorithm with extended\n    accumulation and alternative indexing semantics.\n"
+base.strided.dsnanmeanwd,"\nbase.strided.dsnanmeanwd( N:integer, x:Float32Array, strideX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values, using Welford's algorithm with extended\n    accumulation, and returning an extended precision result.\n"
+base.strided.dsnanmeanwd.ndarray,"\nbase.strided.dsnanmeanwd.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using Welford's algorithm with extended\n    accumulation and alternative indexing semantics.\n"
 base.strided.dsnannsumors,"\nbase.strided.dsnannsumors( N:integer, x:Float32Array, strideX:integer, \n  out:Float64Array, strideOut:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using ordinary recursive summation with extended\n    accumulation, and returning an extended precision result.\n"
 base.strided.dsnannsumors.ndarray,"\nbase.strided.dsnannsumors.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer, out:Float64Array, strideOut:integer, offsetOut:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using ordinary recursive summation with extended\n    accumulation and alternative indexing semantics, and returning an extended\n    precision result.\n"
 base.strided.dsnansum,"\nbase.strided.dsnansum( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using extended accumulation, and returning an\n    extended precision result.\n"
@@ -2072,8 +2072,8 @@ base.strided.gsort2ins,"\nbase.strided.gsort2ins( N:integer, order:number, x:Arr
 base.strided.gsort2ins.ndarray,"\nbase.strided.gsort2ins.ndarray( N:integer, order:number, x:Array|TypedArray, \n  strideX:integer, offsetX:integer, y:Array|TypedArray, strideY:integer, \n  offsetY:integer )\n    Simultaneously sorts two strided arrays based on the sort order of the first\n    array using insertion sort and alternative indexing semantics.\n"
 base.strided.gsort2sh,"\nbase.strided.gsort2sh( N:integer, order:number, x:Array|TypedArray, \n  strideX:integer, y:Array|TypedArray, strideY:integer )\n    Simultaneously sorts two strided arrays based on the sort order of the first\n    array using Shellsort.\n"
 base.strided.gsort2sh.ndarray,"\nbase.strided.gsort2sh.ndarray( N:integer, order:number, x:Array|TypedArray, \n  strideX:integer, offsetX:integer, y:Array|TypedArray, strideY:integer, \n  offsetY:integer )\n    Simultaneously sorts two strided arrays based on the sort order of the first\n    array using Shellsort and alternative indexing semantics.\n"
-base.strided.gsorthp,"\nbase.strided.gsorthp( N:integer, order:number, x:Array|TypedArray, \n  stride:integer )\n    Sorts a strided array using heapsort.\n"
-base.strided.gsorthp.ndarray,"\nbase.strided.gsorthp.ndarray( N:integer, order:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Sorts a strided array using heapsort and alternative indexing semantics.\n"
+base.strided.gsorthp,"\nbase.strided.gsorthp( N:integer, order:number, x:Array|TypedArray, \n  strideX:integer )\n    Sorts a strided array using heapsort.\n"
+base.strided.gsorthp.ndarray,"\nbase.strided.gsorthp.ndarray( N:integer, order:number, x:Array|TypedArray, \n  strideX:integer, offsetX:integer )\n    Sorts a strided array using heapsort and alternative indexing semantics.\n"
 base.strided.gsortins,"\nbase.strided.gsortins( N:integer, order:number, x:Array|TypedArray, \n  stride:integer )\n    Sorts a strided array using insertion sort.\n"
 base.strided.gsortins.ndarray,"\nbase.strided.gsortins.ndarray( N:integer, order:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Sorts a strided array using insertion sort and alternative indexing\n    semantics.\n"
 base.strided.gsortsh,"\nbase.strided.gsortsh( N:integer, order:number, x:Array|TypedArray, \n  stride:integer )\n    Sorts a strided array using Shellsort.\n"
@@ -2096,8 +2096,8 @@ base.strided.mapBy2,"\nbase.strided.mapBy2( N:integer, x:Array|TypedArray|Object
 base.strided.mapBy2.ndarray,"\nbase.strided.mapBy2.ndarray( N:integer, x:Array|TypedArray|Object, sx:integer, \n  ox:integer, y:Array|TypedArray|Object, sy:integer, oy:integer, \n  z:Array|TypedArray|Object, sz:integer, oz:integer, fcn:Function, \n  clbk:Function[, thisArg:any] )\n    Applies a binary function to each pair of elements retrieved from strided\n    input arrays according to a callback function and assigns results to a\n    strided output array using alternative indexing semantics.\n"
 base.strided.max,"\nbase.strided.max( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the maximum value of a strided array.\n"
 base.strided.max.ndarray,"\nbase.strided.max.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a strided array using alternative indexing\n    semantics.\n"
-base.strided.maxabs,"\nbase.strided.maxabs( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the maximum absolute value of a strided array.\n"
-base.strided.maxabs.ndarray,"\nbase.strided.maxabs.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n  offset:integer )\n    Computes the maximum absolute value of a strided array using alternative\n    indexing semantics.\n"
+base.strided.maxabs,"\nbase.strided.maxabs( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the maximum absolute value of a strided array.\n"
+base.strided.maxabs.ndarray,"\nbase.strided.maxabs.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the maximum absolute value of a strided array using alternative\n    indexing semantics.\n"
 base.strided.maxBy,"\nbase.strided.maxBy( N:integer, x:Array|TypedArray|Object, stride:integer, \n  clbk:Function[, thisArg:any] )\n    Calculates the maximum value of a strided array via a callback function.\n"
 base.strided.maxBy.ndarray,"\nbase.strided.maxBy.ndarray( N:integer, x:Array|TypedArray|Object, \n  stride:integer, offset:integer, clbk:Function[, thisArg:any] )\n    Calculates the maximum value of a strided array via a callback function and\n    using alternative indexing semantics.\n"
 base.strided.maxsorted,"\nbase.strided.maxsorted( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the maximum value of a sorted strided array.\n"
@@ -2122,8 +2122,8 @@ base.strided.mediansorted.ndarray,"\nbase.strided.mediansorted.ndarray( N:intege
 base.strided.metaDataProps,"\nbase.strided.metaDataProps( meta:Object, dtypes:ArrayLikeObject, \n  obj:Object|Function, bool:boolean )\n    Defines non-enumerable read-only properties which expose strided array\n    function meta data.\n"
 base.strided.min,"\nbase.strided.min( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the minimum value of a strided array.\n"
 base.strided.min.ndarray,"\nbase.strided.min.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the minimum value of a strided array using alternative indexing\n    semantics.\n"
-base.strided.minabs,"\nbase.strided.minabs( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the minimum absolute value of a strided array.\n"
-base.strided.minabs.ndarray,"\nbase.strided.minabs.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n  offset:integer )\n    Computes the minimum absolute value of a strided array using alternative\n    indexing semantics.\n"
+base.strided.minabs,"\nbase.strided.minabs( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the minimum absolute value of a strided array.\n"
+base.strided.minabs.ndarray,"\nbase.strided.minabs.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the minimum absolute value of a strided array using alternative\n    indexing semantics.\n"
 base.strided.minBy,"\nbase.strided.minBy( N:integer, x:Array|TypedArray|Object, stride:integer, \n  clbk:Function[, thisArg:any] )\n    Calculates the minimum value of a strided array via a callback function.\n"
 base.strided.minBy.ndarray,"\nbase.strided.minBy.ndarray( N:integer, x:Array|TypedArray|Object, \n  stride:integer, offset:integer, clbk:Function[, thisArg:any] )\n    Calculates the minimum value of a strided array via a callback function and\n    using alternative indexing semantics.\n"
 base.strided.minsorted,"\nbase.strided.minsorted( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the minimum value of a sorted strided array.\n"
@@ -2263,8 +2263,8 @@ base.strided.sdsapxsumpw,"\nbase.strided.sdsapxsumpw( N:integer, alpha:number, x
 base.strided.sdsapxsumpw.ndarray,"\nbase.strided.sdsapxsumpw.ndarray( N:integer, alpha:number, x:Float32Array, \n  strideX:integer, offsetX:integer )\n    Adds a scalar constant to each single-precision floating-point strided array\n    element and computes the sum using pairwise summation with extended\n    accumulation and alternative indexing semantics.\n"
 base.strided.sdsdot,"\nbase.strided.sdsdot( N:integer, scalar:number, x:Float32Array, strideX:integer, \n  y:Float32Array, strideY:integer )\n    Computes the dot product of two single-precision floating-point vectors with\n    extended accumulation.\n"
 base.strided.sdsdot.ndarray,"\nbase.strided.sdsdot.ndarray( N:integer, scalar:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the dot product of two single-precision floating-point vectors\n    using alternative indexing semantics and with extended accumulation.\n"
-base.strided.sdsmean,"\nbase.strided.sdsmean( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using extended accumulation.\n"
-base.strided.sdsmean.ndarray,"\nbase.strided.sdsmean.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 extended accumulation and alternative indexing semantics.\n"
+base.strided.sdsmean,"\nbase.strided.sdsmean( N:integer, x:Float32Array, strideX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using extended accumulation.\n"
+base.strided.sdsmean.ndarray,"\nbase.strided.sdsmean.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using extended accumulation and alternative indexing semantics.\n"
 base.strided.sdsmeanors,"\nbase.strided.sdsmeanors( N:integer, x:Float32Array, strideX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using ordinary recursive summation with extended accumulation.\n"
 base.strided.sdsmeanors.ndarray,"\nbase.strided.sdsmeanors.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using ordinary recursive summation with extended accumulation and\n    alternative indexing semantics.\n"
 base.strided.sdsnanmean,"\nbase.strided.sdsnanmean( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using extended accumulation.\n"