Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-11-27)
+## Unreleased (2024-11-28)
 
 <section class="packages">
 
@@ -56,6 +56,7 @@ A total of 3 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`904955f`](https://github.com/stdlib-js/stdlib/commit/904955fccc1822538bae36c7923b67552109434e) - **docs:** update REPL namespace documentation [(#3289)](https://github.com/stdlib-js/stdlib/pull/3289) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`9a17ee3`](https://github.com/stdlib-js/stdlib/commit/9a17ee335a8976668e06b0a41f4b19cb52380b5b) - **docs:** update REPL namespace documentation [(#3276)](https://github.com/stdlib-js/stdlib/pull/3276) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`875c99b`](https://github.com/stdlib-js/stdlib/commit/875c99b2678d23e498677e367d5cd6079d0f55fb) - **docs:** update REPL namespace documentation [(#3265)](https://github.com/stdlib-js/stdlib/pull/3265) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`c314fa2`](https://github.com/stdlib-js/stdlib/commit/c314fa2199b8bd2deaac417184a363e5272767a5) - **docs:** update REPL namespace documentation [(#3260)](https://github.com/stdlib-js/stdlib/pull/3260) _(by stdlib-bot, Philipp Burckhardt)_

CONTRIBUTORS

@@ -48,6 +48,7 @@ Karthik Prakash <[email protected]>
 Khaldon <[email protected]>
 Kohantika Nath <[email protected]>
 Krishnendu Das <[email protected]>
+Kshitij-Dale <[email protected]>
 Lovelin <[email protected]>
 Manik Sharma <[email protected]>
 Marcus Fantham <[email protected]>

data/contributor.json

@@ -1 +1 @@
-["Aayush Khanna","Abhijit Raut","Adarsh Palaskar","Aditya Sapra","AgPriyanshu18","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","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","Karthik Prakash","Khaldon","Kohantika Nath","Krishnendu Das","Lovelin","Manik Sharma","Marcus Fantham","Matt Cochrane","Mihir Pandit","Milan Raj","Mohammad Kaif","Momtchil Momtchev","Muhammad Haris","Naresh Jagadeesan","Neeraj Pathak","NightKnight","Nithin Katta","Nourhan Hasan","Ognjen Jevremović","Oneday12323","Philipp Burckhardt","Prajwal Kulkarni","Pranav Goswami","Praneki","Pratik","Pratyush Kumar Chouhan","Priyansh","Pushpendra Chandravanshi","RISHAV","Raunak Kumar Gupta","Rejoan Sardar","Ricky Reusser","Ridam Garg","Robert Gislason","Roman Stetsyk","Rutam","Ruthwik Chikoti","Ryan Seal","Rylan Yang","Sai Srikar Dumpeti","SarthakPaandey","Saurabh Singh","Seyyed Parsa Neshaei","Shashank Shekhar Singh","Shivam","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","Xiaochuan Ye","Yernar Yergaziyev","naveen","nishant-s7","olenkabilonizhka","orimiles5","rainn","rei2hu","yaswanth"]
+["Aayush Khanna","Abhijit Raut","Adarsh Palaskar","Aditya Sapra","AgPriyanshu18","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","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","Karthik Prakash","Khaldon","Kohantika Nath","Krishnendu Das","Kshitij-Dale","Lovelin","Manik Sharma","Marcus Fantham","Matt Cochrane","Mihir Pandit","Milan Raj","Mohammad Kaif","Momtchil Momtchev","Muhammad Haris","Naresh Jagadeesan","Neeraj Pathak","NightKnight","Nithin Katta","Nourhan Hasan","Ognjen Jevremović","Oneday12323","Philipp Burckhardt","Prajwal Kulkarni","Pranav Goswami","Praneki","Pratik","Pratyush Kumar Chouhan","Priyansh","Pushpendra Chandravanshi","RISHAV","Raunak Kumar Gupta","Rejoan Sardar","Ricky Reusser","Ridam Garg","Robert Gislason","Roman Stetsyk","Rutam","Ruthwik Chikoti","Ryan Seal","Rylan Yang","Sai Srikar Dumpeti","SarthakPaandey","Saurabh Singh","Seyyed Parsa Neshaei","Shashank Shekhar Singh","Shivam","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","Xiaochuan Ye","Yernar Yergaziyev","naveen","nishant-s7","olenkabilonizhka","orimiles5","rainn","rei2hu","yaswanth"]

help/data/data.csv

@@ -1930,8 +1930,8 @@ base.strided.dsnanmeanwd,"\nbase.strided.dsnanmeanwd( N:integer, x:Float32Array,
 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.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, stride: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"
-base.strided.dsnansum.ndarray,"\nbase.strided.dsnansum.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using extended accumulation and alternative\n    indexing semantics.\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"
+base.strided.dsnansum.ndarray,"\nbase.strided.dsnansum.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using extended accumulation and alternative\n    indexing semantics, and returning an extended precision result.\n"
 base.strided.dsnansumors,"\nbase.strided.dsnansumors( N:integer, x:Float32Array, strideX: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.dsnansumors.ndarray,"\nbase.strided.dsnansumors.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation with extended\n    accumulation and alternative indexing semantics, and returning an extended\n    precision result.\n"
 base.strided.dsnansumpw,"\nbase.strided.dsnansumpw( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using pairwise summation with extended accumulation,\n    and returning an extended precision result.\n"

help/data/data.json

@@ -1931,8 +1931,8 @@ base.strided.dsnanmeanwd,"base.strided.dsnanmeanwd( N, x, stride )"
 base.strided.dsnanmeanwd.ndarray,"base.strided.dsnanmeanwd.ndarray( N, x, stride, offset )"
 base.strided.dsnannsumors,"base.strided.dsnannsumors( N, x, strideX, out, strideOut )"
 base.strided.dsnannsumors.ndarray,"base.strided.dsnannsumors.ndarray( N, x, strideX, offsetX, out, strideOut, offsetOut )"
-base.strided.dsnansum,"base.strided.dsnansum( N, x, stride )"
-base.strided.dsnansum.ndarray,"base.strided.dsnansum.ndarray( N, x, stride, offset )"
+base.strided.dsnansum,"base.strided.dsnansum( N, x, strideX )"
+base.strided.dsnansum.ndarray,"base.strided.dsnansum.ndarray( N, x, strideX, offsetX )"
 base.strided.dsnansumors,"base.strided.dsnansumors( N, x, strideX )"
 base.strided.dsnansumors.ndarray,"base.strided.dsnansumors.ndarray( N, x, strideX, offsetX )"
 base.strided.dsnansumpw,"base.strided.dsnansumpw( N, x, strideX )"

info/data/data.csv

@@ -1931,8 +1931,8 @@ base.strided.dsnanmeanwd,"base.strided.dsnanmeanwd( N:integer, x:Float32Array, s
 base.strided.dsnanmeanwd.ndarray,"base.strided.dsnanmeanwd.ndarray( N:integer, x:Float32Array, stride:integer, offset:integer )"
 base.strided.dsnannsumors,"base.strided.dsnannsumors( N:integer, x:Float32Array, strideX:integer, out:Float64Array, strideOut:integer )"
 base.strided.dsnannsumors.ndarray,"base.strided.dsnannsumors.ndarray( N:integer, x:Float32Array, strideX:integer, offsetX:integer, out:Float64Array, strideOut:integer, offsetOut:integer )"
-base.strided.dsnansum,"base.strided.dsnansum( N:integer, x:Float32Array, stride:integer )"
-base.strided.dsnansum.ndarray,"base.strided.dsnansum.ndarray( N:integer, x:Float32Array, stride:integer, offset:integer )"
+base.strided.dsnansum,"base.strided.dsnansum( N:integer, x:Float32Array, strideX:integer )"
+base.strided.dsnansum.ndarray,"base.strided.dsnansum.ndarray( N:integer, x:Float32Array, strideX:integer, offsetX:integer )"
 base.strided.dsnansumors,"base.strided.dsnansumors( N:integer, x:Float32Array, strideX:integer )"
 base.strided.dsnansumors.ndarray,"base.strided.dsnansumors.ndarray( N:integer, x:Float32Array, strideX:integer, offsetX:integer )"
 base.strided.dsnansumpw,"base.strided.dsnansumpw( N:integer, x:Float32Array, strideX:integer )"