Auto-generated commit

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-12-01)
+## Unreleased (2024-12-08)
 
 <section class="features">
 
@@ -31,6 +31,7 @@
 
 <details>
 
+-   [`911e839`](https://github.com/stdlib-js/stdlib/commit/911e839cdb47eaed4d3f87f9b22d337c872fbbb3) - **docs:** update REPL namespace documentation [(#3372)](https://github.com/stdlib-js/stdlib/pull/3372) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`9bd5c73`](https://github.com/stdlib-js/stdlib/commit/9bd5c7354dbaef3eed1668d0810a3f9565d6a131) - **docs:** update REPL namespace documentation [(#3306)](https://github.com/stdlib-js/stdlib/pull/3306) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`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)_
@@ -136,11 +137,10 @@ A total of 2 people contributed to this release. Thank you to the following cont
 
 ### Contributors
 
-A total of 3 people contributed to this release. Thank you to the following contributors:
+A total of 2 people contributed to this release. Thank you to the following contributors:
 
 -   Athan Reines
 -   Philipp Burckhardt
--   Planeshifter
 
 </section>
 

CONTRIBUTORS

@@ -6,7 +6,8 @@ Aayush Khanna <[email protected]>
 Abhijit Raut <[email protected]>
 Adarsh Palaskar <[email protected]>
 Aditya Sapra <[email protected]>
-AgPriyanshu18 <[email protected]>
+Ahmed Atwa <[email protected]>
+Ahmed Kashkoush <[email protected]>
 Aleksandr <[email protected]>
 Ali Salesi <[email protected]>
 Aman Bhansali <[email protected]>
@@ -51,6 +52,7 @@ Krishnendu Das <[email protected]>
 Kshitij-Dale <[email protected]>
 Lovelin <[email protected]>
 Manik Sharma <[email protected]>
+Manvith M <[email protected]>
 Marcus Fantham <[email protected]>
 Matt Cochrane <[email protected]>
 Mihir Pandit <[email protected]>
@@ -60,32 +62,34 @@ Momtchil Momtchev <[email protected]>
 Muhammad Haris <[email protected]>
 Naresh Jagadeesan <[email protected]>
 Neeraj Pathak <[email protected]>
-NightKnight <Ahmedatwa866@yahoo.com>
+Nishant Shinde <[email protected].com>
 Nithin Katta <[email protected]>
 Nourhan Hasan <[email protected]>
 Ognjen Jevremović <[email protected]>
 Oneday12323 <[email protected]>
+Ori Miles <[email protected]>
 Philipp Burckhardt <[email protected]>
 Prajwal Kulkarni <[email protected]>
 Pranav Goswami <[email protected]>
 Praneki <[email protected]>
 Pratik <[email protected]>
 Pratyush Kumar Chouhan <[email protected]>
 Priyansh <[email protected]>
+Priyanshu Agarwal <[email protected]>
 Pushpendra Chandravanshi <[email protected]>
-RISHAV <[email protected]>
 Raunak Kumar Gupta <[email protected]>
 Rejoan Sardar <[email protected]>
 Ricky Reusser <[email protected]>
 Ridam Garg <[email protected]>
+Rishav <[email protected]>
 Robert Gislason <[email protected]>
 Roman Stetsyk <[email protected]>
-Rutam <[email protected]>
+Rutam Kathale <[email protected]>
 Ruthwik Chikoti <[email protected]>
 Ryan Seal <[email protected]>
 Rylan Yang <[email protected]>
 Sai Srikar Dumpeti <[email protected]>
-SarthakPaandey <[email protected]>
+Sarthak Paandey <[email protected]>
 Saurabh Singh <[email protected]>
 Seyyed Parsa Neshaei <[email protected]>
 Shashank Shekhar Singh <[email protected]>
@@ -98,7 +102,7 @@ Snehil Shah <[email protected]>
 Soumajit Chatterjee <[email protected]>
 Spandan Barve <[email protected]>
 Stephannie Jiménez Gacha <[email protected]>
-Suraj kumar <[email protected]>
+Suraj Kumar <[email protected]>
 Tirtadwipa Manunggal <[email protected]>
 Tudor Pagu <[email protected]>
 Tufailahmed Bargir <[email protected]>
@@ -109,11 +113,9 @@ Vaibhav Patel <[email protected]>
 Varad Gupta <[email protected]>
 Vinit Pandit <[email protected]>
 Xiaochuan Ye <[email protected]>
+Yaswanth Kosuru <[email protected]>
 Yernar Yergaziyev <[email protected]>
 naveen <[email protected]>
-nishant-s7 <[email protected]>
 olenkabilonizhka <[email protected]>
-orimiles5 <[email protected]>
 rainn <[email protected]>
 rei2hu <[email protected]>
-yaswanth <[email protected]>

data/data.csv

@@ -949,7 +949,7 @@ base.erfc,"\nbase.erfc( x:number )\n    Evaluates the complementary error functi
 base.erfcinv,"\nbase.erfcinv( x:number )\n    Evaluates the inverse complementary error function.\n"
 base.erfcx,"\nbase.erfcx( x:number )\n    Evaluates the scaled complementary error function.\n"
 base.erfinv,"\nbase.erfinv( x:number )\n    Evaluates the inverse error function.\n"
-base.eta,"\nbase.eta( s:number )\n    Evaluates the Dirichlet eta function as a function of a real variable `s`.\n"
+base.eta,"\nbase.eta( s:number )\n    Evaluates the Dirichlet eta function for a double-precision\n    floating-point number `s`.\n"
 base.evalpoly,"\nbase.evalpoly( c:Array<number>, x:number )\n    Evaluates a polynomial using double-precision floating-point arithmetic.\n"
 base.evalpoly.factory,"\nbase.evalpoly.factory( c:Array<number> )\n    Returns a function for evaluating a polynomial using double-precision\n    floating-point arithmetic.\n"
 base.evalrational,"\nbase.evalrational( P:Array<number>, Q:Array<number>, x:number )\n    Evaluates a rational function using double-precision floating-point\n    arithmetic.\n"
@@ -2397,8 +2397,8 @@ base.strided.snansumkbn2,"\nbase.strided.snansumkbn2( N:integer, x:Float32Array,
 base.strided.snansumkbn2.ndarray,"\nbase.strided.snansumkbn2.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 a second-order iterative Kahan–Babuška\n    algorithm and alternative indexing semantics.\n"
 base.strided.snansumors,"\nbase.strided.snansumors( N:integer, x:Float32Array, stride:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation.\n"
 base.strided.snansumors.ndarray,"\nbase.strided.snansumors.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 ordinary recursive summation and alternative\n    indexing semantics.\n"
-base.strided.snansumpw,"\nbase.strided.snansumpw( N:integer, x:Float32Array, stride:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using pairwise summation.\n"
-base.strided.snansumpw.ndarray,"\nbase.strided.snansumpw.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 pairwise summation and alternative indexing\n    semantics.\n"
+base.strided.snansumpw,"\nbase.strided.snansumpw( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using pairwise summation.\n"
+base.strided.snansumpw.ndarray,"\nbase.strided.snansumpw.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 pairwise summation and alternative indexing\n    semantics.\n"
 base.strided.snanvariance,"\nbase.strided.snanvariance( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    ignoring `NaN` values.\n"
 base.strided.snanvariance.ndarray,"\nbase.strided.snanvariance.ndarray( N:integer, correction:number, \n  x:Float32Array, stride:integer, offset:integer )\n    Computes the variance of a single-precision floating-point strided array\n    ignoring `NaN` values and using alternative indexing semantics.\n"
 base.strided.snanvariancech,"\nbase.strided.snanvariancech( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass trial mean algorithm.\n"