docs: update REPL namespace documentation

PR-URL: #5964

Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/repl/code-blocks/data/data.csv

@@ -1859,8 +1859,8 @@ base.strided.dnanstdevch,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n
 base.strided.dnanstdevch.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevch.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.dnanstdevch.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dnanstdevpn,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevpn( 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.dnanstdevpn( 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.dnanstdevpn( N, 1, x1, stride )\n"
 base.strided.dnanstdevpn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevpn.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.dnanstdevpn.ndarray( N, 1, x, 2, 1 )\n"
-base.strided.dnanstdevtk,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevtk( 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.dnanstdevtk( 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.dnanstdevtk( N, 1, x1, stride )\n"
-base.strided.dnanstdevtk.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevtk.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.dnanstdevtk.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dnanstdevtk,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevtk( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanstdevtk( 4, 1, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dnanstdevtk( 4, 1, x1, 2 )\n"
+base.strided.dnanstdevtk.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevtk.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanstdevtk.ndarray( 4, 1, x, 2, 1 )\n"
 base.strided.dnanstdevwd,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevwd( 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.dnanstdevwd( 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.dnanstdevwd( N, 1, x1, stride )\n"
 base.strided.dnanstdevwd.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevwd.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.dnanstdevwd.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dnanstdevyc,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanstdevyc( 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.dnanstdevyc( 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.dnanstdevyc( N, 1, x1, stride )\n"

lib/node_modules/@stdlib/repl/code-blocks/data/data.json

@@ -1859,8 +1859,8 @@ base.strided.dnanstdevch,"\nbase.strided.dnanstdevch( N:integer, correction:numb
 base.strided.dnanstdevch.ndarray,"\nbase.strided.dnanstdevch.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass trial mean algorithm and\n    alternative indexing semantics.\n"
 base.strided.dnanstdevpn,"\nbase.strided.dnanstdevpn( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a two-pass algorithm.\n"
 base.strided.dnanstdevpn.ndarray,"\nbase.strided.dnanstdevpn.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a two-pass algorithm and alternative\n    indexing semantics.\n"
-base.strided.dnanstdevtk,"\nbase.strided.dnanstdevtk( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass textbook algorithm.\n"
-base.strided.dnanstdevtk.ndarray,"\nbase.strided.dnanstdevtk.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass textbook algorithm and\n    alternative indexing semantics.\n"
+base.strided.dnanstdevtk,"\nbase.strided.dnanstdevtk( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass textbook algorithm.\n"
+base.strided.dnanstdevtk.ndarray,"\nbase.strided.dnanstdevtk.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass textbook algorithm and\n    alternative indexing semantics.\n"
 base.strided.dnanstdevwd,"\nbase.strided.dnanstdevwd( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using Welford's algorithm.\n"
 base.strided.dnanstdevwd.ndarray,"\nbase.strided.dnanstdevwd.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using Welford's algorithm and alternative\n    indexing semantics.\n"
 base.strided.dnanstdevyc,"\nbase.strided.dnanstdevyc( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the standard deviation of a double-precision floating-point strided\n    array ignoring `NaN` values and using a one-pass algorithm proposed by\n    Youngs and Cramer.\n"

lib/node_modules/@stdlib/repl/help/data/data.csv

@@ -1859,8 +1859,8 @@ base.strided.dnanstdevch,"base.strided.dnanstdevch( N, correction, x, stride )"
 base.strided.dnanstdevch.ndarray,"base.strided.dnanstdevch.ndarray( N, correction, x, stride, offset )"
 base.strided.dnanstdevpn,"base.strided.dnanstdevpn( N, correction, x, stride )"
 base.strided.dnanstdevpn.ndarray,"base.strided.dnanstdevpn.ndarray( N, correction, x, stride, offset )"
-base.strided.dnanstdevtk,"base.strided.dnanstdevtk( N, correction, x, stride )"
-base.strided.dnanstdevtk.ndarray,"base.strided.dnanstdevtk.ndarray( N, correction, x, stride, offset )"
+base.strided.dnanstdevtk,"base.strided.dnanstdevtk( N, correction, x, strideX )"
+base.strided.dnanstdevtk.ndarray,"base.strided.dnanstdevtk.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dnanstdevwd,"base.strided.dnanstdevwd( N, correction, x, stride )"
 base.strided.dnanstdevwd.ndarray,"base.strided.dnanstdevwd.ndarray( N, correction, x, stride, offset )"
 base.strided.dnanstdevyc,"base.strided.dnanstdevyc( N, correction, x, stride )"

lib/node_modules/@stdlib/repl/help/data/data.json

@@ -1859,8 +1859,8 @@ base.strided.dnanstdevch,"base.strided.dnanstdevch( N:integer, correction:number
 base.strided.dnanstdevch.ndarray,"base.strided.dnanstdevch.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dnanstdevpn,"base.strided.dnanstdevpn( N:integer, correction:number, x:Float64Array, stride:integer )"
 base.strided.dnanstdevpn.ndarray,"base.strided.dnanstdevpn.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
-base.strided.dnanstdevtk,"base.strided.dnanstdevtk( N:integer, correction:number, x:Float64Array, stride:integer )"
-base.strided.dnanstdevtk.ndarray,"base.strided.dnanstdevtk.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
+base.strided.dnanstdevtk,"base.strided.dnanstdevtk( N:integer, correction:number, x:Float64Array, strideX:integer )"
+base.strided.dnanstdevtk.ndarray,"base.strided.dnanstdevtk.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dnanstdevwd,"base.strided.dnanstdevwd( N:integer, correction:number, x:Float64Array, stride:integer )"
 base.strided.dnanstdevwd.ndarray,"base.strided.dnanstdevwd.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dnanstdevyc,"base.strided.dnanstdevyc( N:integer, correction:number, x:Float64Array, stride:integer )"