Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -1909,8 +1909,8 @@ base.strided.dsem,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided
 base.strided.dsem.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsem.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dsem.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dsemch,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsemch( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsemch( 3, 1, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsemch( 3, 1, x1, 2 )\n"
 base.strided.dsemch.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsemch.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsemch.ndarray( 3, 1, x, 2, 1 )\n"
-base.strided.dsempn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsempn( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dsempn( N, 1, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dsempn( N, 1, x1, stride )\n"
-base.strided.dsempn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsempn.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dsempn.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dsempn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsempn( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsempn( 3, 1, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsempn( 3, 1, x1, 2 )\n"
+base.strided.dsempn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsempn.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsempn.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dsemtk,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsemtk( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsemtk( 3, 1, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsemtk( 3, 1, x1, 2 )\n"
 base.strided.dsemtk.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsemtk.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsemtk.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dsemwd,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsemwd( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsemwd( 3, 1, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsemwd( 3, 1, x1, 2 )\n"

code-blocks/data/data.csv

@@ -1909,8 +1909,8 @@ base.strided.dsem,"\nbase.strided.dsem( N:integer, correction:number, x:Float64A
 base.strided.dsem.ndarray,"\nbase.strided.dsem.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using alternative indexing semantics.\n"
 base.strided.dsemch,"\nbase.strided.dsemch( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a one-pass trial mean algorithm.\n"
 base.strided.dsemch.ndarray,"\nbase.strided.dsemch.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a one-pass trial mean algorithm and alternative\n    indexing semantics.\n"
-base.strided.dsempn,"\nbase.strided.dsempn( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a two-pass algorithm.\n"
-base.strided.dsempn.ndarray,"\nbase.strided.dsempn.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a two-pass algorithm and alternative indexing\n    semantics.\n"
+base.strided.dsempn,"\nbase.strided.dsempn( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a two-pass algorithm.\n"
+base.strided.dsempn.ndarray,"\nbase.strided.dsempn.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a two-pass algorithm and alternative indexing\n    semantics.\n"
 base.strided.dsemtk,"\nbase.strided.dsemtk( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a one-pass textbook algorithm.\n"
 base.strided.dsemtk.ndarray,"\nbase.strided.dsemtk.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using a one-pass textbook algorithm and alternative\n    indexing semantics.\n"
 base.strided.dsemwd,"\nbase.strided.dsemwd( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the standard error of the mean for a double-precision floating-\n    point strided array using Welford's algorithm.\n"

code-blocks/data/data.json

@@ -1909,8 +1909,8 @@ base.strided.dsem,"base.strided.dsem( N, correction, x, stride )"
 base.strided.dsem.ndarray,"base.strided.dsem.ndarray( N, correction, x, stride, offset )"
 base.strided.dsemch,"base.strided.dsemch( N, correction, x, strideX )"
 base.strided.dsemch.ndarray,"base.strided.dsemch.ndarray( N, correction, x, strideX, offsetX )"
-base.strided.dsempn,"base.strided.dsempn( N, correction, x, stride )"
-base.strided.dsempn.ndarray,"base.strided.dsempn.ndarray( N, correction, x, stride, offset )"
+base.strided.dsempn,"base.strided.dsempn( N, correction, x, strideX )"
+base.strided.dsempn.ndarray,"base.strided.dsempn.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dsemtk,"base.strided.dsemtk( N, correction, x, strideX )"
 base.strided.dsemtk.ndarray,"base.strided.dsemtk.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dsemwd,"base.strided.dsemwd( N, correction, x, strideX )"

help/data/data.csv

@@ -1909,8 +1909,8 @@ base.strided.dsem,"base.strided.dsem( N:integer, correction:number, x:Float64Arr
 base.strided.dsem.ndarray,"base.strided.dsem.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dsemch,"base.strided.dsemch( N:integer, correction:number, x:Float64Array, strideX:integer )"
 base.strided.dsemch.ndarray,"base.strided.dsemch.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
-base.strided.dsempn,"base.strided.dsempn( N:integer, correction:number, x:Float64Array, stride:integer )"
-base.strided.dsempn.ndarray,"base.strided.dsempn.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
+base.strided.dsempn,"base.strided.dsempn( N:integer, correction:number, x:Float64Array, strideX:integer )"
+base.strided.dsempn.ndarray,"base.strided.dsempn.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dsemtk,"base.strided.dsemtk( N:integer, correction:number, x:Float64Array, strideX:integer )"
 base.strided.dsemtk.ndarray,"base.strided.dsemtk.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dsemwd,"base.strided.dsemwd( N:integer, correction:number, x:Float64Array, strideX:integer )"