Auto-generated commit

CONTRIBUTORS

@@ -12,6 +12,7 @@ Anudeep Sanapala <[email protected]>
 Athan Reines <[email protected]>
 Brendan Graetz <[email protected]>
 Bruno Fenzl <[email protected]>
+Bryan Elee <[email protected]>
 Chinmay Joshi <[email protected]>
 Christopher Dambamuromo <[email protected]>
 Dan Rose <[email protected]>
@@ -27,6 +28,7 @@ Jaimin Godhani <[email protected]>
 James Gelok <[email protected]>
 Jaysukh Makvana <[email protected]>
 Jithin KS <[email protected]>
+Joel Mathew Koshy <[email protected]>
 Joey Reed <[email protected]>
 Jordan Gallivan <[email protected]>
 Joris Labie <[email protected]>
@@ -65,10 +67,12 @@ Shubham Mishra <[email protected]>
 Snehil Shah <[email protected]>
 Spandan Barve <[email protected]>
 Stephannie Jiménez Gacha <[email protected]>
+Suraj kumar <[email protected]>
 Utkarsh <http://[email protected]>
 Utkarsh Raj <[email protected]>
 Varad Gupta <[email protected]>
 Yernar Yergaziyev <[email protected]>
+naveen <[email protected]>
 nishant-s7 <[email protected]>
 orimiles5 <[email protected]>
 rei2hu <[email protected]>

data/data.csv

@@ -2068,8 +2068,8 @@ base.strided.scusum,"\nbase.strided.scusum( N:integer, sum:number, x:Float32Arra
 base.strided.scusum.ndarray,"\nbase.strided.scusum.ndarray( N:integer, sum:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using alternative indexing semantics.\n"
 base.strided.scusumkbn,"\nbase.strided.scusumkbn( N:integer, sum:number, x:Float32Array, strideX:integer, \n  y:Float32Array, strideY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using an improved Kahan–Babuška algorithm.\n"
 base.strided.scusumkbn.ndarray,"\nbase.strided.scusumkbn.ndarray( N:integer, sum:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using an improved Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
-base.strided.scusumkbn2,"\nbase.strided.scusumkbn2( N:integer, sum:number, x:Float32Array, \n  strideX:integer, y:Float32Array, strideY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using a second-order iterative Kahan–Babuška algorithm.\n"
-base.strided.scusumkbn2.ndarray,"\nbase.strided.scusumkbn2.ndarray( N:integer, sum:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using a second-order iterative Kahan–Babuška algorithm and\n    alternative indexing semantics.\n"
+base.strided.scusumkbn2,"\nbase.strided.scusumkbn2( N:integer, sum:number, x:Float32Array, \n  strideX:integer, y:Float32Array, strideY:integer )\n    Computes the cumulative sum of single-precision floating-point strided \n    array elements using a second-order iterative Kahan–Babuška algorithm.\n"
+base.strided.scusumkbn2.ndarray,"\nbase.strided.scusumkbn2.ndarray( N:integer, sum:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the cumulative sum of single-precision floating-point strided\n    array elements using a second-order iterative Kahan–Babuška algorithm and\n    alternative indexing semantics.\n"
 base.strided.scusumors,"\nbase.strided.scusumors( N:integer, sum:number, x:Float32Array, strideX:integer, \n  y:Float32Array, strideY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using ordinary recursive summation.\n"
 base.strided.scusumors.ndarray,"\nbase.strided.scusumors.ndarray( N:integer, sum:number, x:Float32Array, \n  strideX:integer, offsetX:integer, y:Float32Array, strideY:integer, \n  offsetY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using ordinary recursive summation and alternative indexing\n    semantics.\n"
 base.strided.scusumpw,"\nbase.strided.scusumpw( N:integer, sum:number, x:Float32Array, strideX:integer, \n  y:Float32Array, strideY:integer )\n    Computes the cumulative sum of single-precision floating-point strided array\n    elements using pairwise summation.\n"