docs: update REPL namespace documentation

PR-URL: #5050
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -1998,8 +1998,8 @@ base.strided.dvariance,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.st
 base.strided.dvariance.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariance.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.dvariance.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dvariancech,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancech( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dvariancech( 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.dvariancech( 3, 1, x1, 2 )\n"
 base.strided.dvariancech.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancech.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.dvariancech.ndarray( 3, 1, x, 2, 1 )\n"
-base.strided.dvariancepn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancepn( 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.dvariancepn( 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.dvariancepn( N, 1, x1, stride )\n"
-base.strided.dvariancepn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancepn.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.dvariancepn.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dvariancepn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancepn( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dvariancepn( 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.dvariancepn( 3, 1, x1, 2 )\n"
+base.strided.dvariancepn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancepn.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.dvariancepn.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dvariancetk,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancetk( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dvariancetk( 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.dvariancetk( 3, 1, x1, 2 )\n"
 base.strided.dvariancetk.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancetk.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.dvariancetk.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dvariancewd,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dvariancewd( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dvariancewd( 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.dvariancewd( 3, 1, x1, 2 )\n"

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

@@ -1998,8 +1998,8 @@ base.strided.dvariance,"\nbase.strided.dvariance( N:integer, correction:number,
 base.strided.dvariance.ndarray,"\nbase.strided.dvariance.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using alternative indexing semantics.\n"
 base.strided.dvariancech,"\nbase.strided.dvariancech( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a one-pass trial mean algorithm.\n"
 base.strided.dvariancech.ndarray,"\nbase.strided.dvariancech.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a one-pass trial mean algorithm and alternative indexing semantics.\n"
-base.strided.dvariancepn,"\nbase.strided.dvariancepn( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a two-pass algorithm.\n"
-base.strided.dvariancepn.ndarray,"\nbase.strided.dvariancepn.ndarray( N:integer, correction:number, x:Float64Array, \n  stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a two-pass algorithm and alternative indexing semantics.\n"
+base.strided.dvariancepn,"\nbase.strided.dvariancepn( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a two-pass algorithm.\n"
+base.strided.dvariancepn.ndarray,"\nbase.strided.dvariancepn.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a two-pass algorithm and alternative indexing semantics.\n"
 base.strided.dvariancetk,"\nbase.strided.dvariancetk( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a one-pass textbook algorithm.\n"
 base.strided.dvariancetk.ndarray,"\nbase.strided.dvariancetk.ndarray( N:integer, correction:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a one-pass textbook algorithm and alternative indexing semantics.\n"
 base.strided.dvariancewd,"\nbase.strided.dvariancewd( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using Welford's algorithm.\n"

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

@@ -1999,8 +1999,8 @@ base.strided.dvariance,"base.strided.dvariance( N, correction, x, stride )"
 base.strided.dvariance.ndarray,"base.strided.dvariance.ndarray( N, correction, x, stride, offset )"
 base.strided.dvariancech,"base.strided.dvariancech( N, correction, x, strideX )"
 base.strided.dvariancech.ndarray,"base.strided.dvariancech.ndarray( N, correction, x, strideX, offsetX )"
-base.strided.dvariancepn,"base.strided.dvariancepn( N, correction, x, stride )"
-base.strided.dvariancepn.ndarray,"base.strided.dvariancepn.ndarray( N, correction, x, stride, offset )"
+base.strided.dvariancepn,"base.strided.dvariancepn( N, correction, x, strideX )"
+base.strided.dvariancepn.ndarray,"base.strided.dvariancepn.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dvariancetk,"base.strided.dvariancetk( N, correction, x, strideX )"
 base.strided.dvariancetk.ndarray,"base.strided.dvariancetk.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dvariancewd,"base.strided.dvariancewd( N, correction, x, strideX )"

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

@@ -1999,8 +1999,8 @@ base.strided.dvariance,"base.strided.dvariance( N:integer, correction:number, x:
 base.strided.dvariance.ndarray,"base.strided.dvariance.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dvariancech,"base.strided.dvariancech( N:integer, correction:number, x:Float64Array, strideX:integer )"
 base.strided.dvariancech.ndarray,"base.strided.dvariancech.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
-base.strided.dvariancepn,"base.strided.dvariancepn( N:integer, correction:number, x:Float64Array, stride:integer )"
-base.strided.dvariancepn.ndarray,"base.strided.dvariancepn.ndarray( N:integer, correction:number, x:Float64Array, stride:integer, offset:integer )"
+base.strided.dvariancepn,"base.strided.dvariancepn( N:integer, correction:number, x:Float64Array, strideX:integer )"
+base.strided.dvariancepn.ndarray,"base.strided.dvariancepn.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dvariancetk,"base.strided.dvariancetk( N:integer, correction:number, x:Float64Array, strideX:integer )"
 base.strided.dvariancetk.ndarray,"base.strided.dvariancetk.ndarray( N:integer, correction:number, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dvariancewd,"base.strided.dvariancewd( N:integer, correction:number, x:Float64Array, strideX:integer )"