docs: update REPL namespace documentation

PR-URL: #6107
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -1985,8 +1985,8 @@ base.strided.dsumors,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.stri
 base.strided.dsumors.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsumors.ndarray( 3, x, 2, 1 )\n"
 base.strided.dsumpw,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsumpw( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsumpw( 3, 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.dsumpw( 3, x1, 2 )\n"
 base.strided.dsumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsumpw.ndarray( x.length, x, 1, 0 )\nx = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsumpw.ndarray( 3, x, 2, 1 )\n"
-base.strided.dsvariance,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariance( x.length, 1, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dsvariance( N, 1, x, stride )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dsvariance( N, 1, x1, stride )\n"
-base.strided.dsvariance.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariance.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dsvariance.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dsvariance,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariance( x.length, 1, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsvariance( 3, 1, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsvariance( 3, 1, x1, 2 )\n"
+base.strided.dsvariance.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariance.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsvariance.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dsvariancepn,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariancepn( x.length, 1, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dsvariancepn( 3, 1, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsvariancepn( 3, 1, x1, 2 )\n"
 base.strided.dsvariancepn.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dsvariancepn.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsvariancepn.ndarray( 3, 1, x, 2, 1 )\n"
 base.strided.dswap,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );\nvar y = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );\nbase.strided.dswap( x.length, x, 1, y, 1 )\nx = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\ny = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );\nbase.strided.dswap( 3, x, -2, y, 1 )\nvar x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar y0 = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 );\nbase.strided.dswap( 3, x1, -2, y1, 1 )\ny0\n"

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

@@ -1985,8 +1985,8 @@ base.strided.dsumors,"\nbase.strided.dsumors( N:integer, x:Float64Array, strideX
 base.strided.dsumors.ndarray,"\nbase.strided.dsumors.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using ordinary recursive summation and alternative indexing semantics.\n"
 base.strided.dsumpw,"\nbase.strided.dsumpw( N:integer, x:Float64Array, strideX:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using pairwise summation.\n"
 base.strided.dsumpw.ndarray,"\nbase.strided.dsumpw.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of double-precision floating-point strided array elements\n    using pairwise summation and alternative indexing semantics.\n"
-base.strided.dsvariance,"\nbase.strided.dsvariance( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using extended accumulation and returning an extended precision result.\n"
-base.strided.dsvariance.ndarray,"\nbase.strided.dsvariance.ndarray( N:integer, correction:number, x:Float32Array, \n  stride:integer, offset:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using extended accumulation and alternative indexing semantics and\n    returning an extended precision result.\n"
+base.strided.dsvariance,"\nbase.strided.dsvariance( N:integer, correction:number, x:Float32Array, \n  strideX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using extended accumulation and returning an extended precision result.\n"
+base.strided.dsvariance.ndarray,"\nbase.strided.dsvariance.ndarray( N:integer, correction:number, x:Float32Array, \n  strideX:integer, offsetX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using extended accumulation and alternative indexing semantics and\n    returning an extended precision result.\n"
 base.strided.dsvariancepn,"\nbase.strided.dsvariancepn( N:integer, correction:number, x:Float32Array, \n  strideX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a two-pass algorithm with extended accumulation and returning an\n    extended precision result.\n"
 base.strided.dsvariancepn.ndarray,"\nbase.strided.dsvariancepn.ndarray( N:integer, correction:number, \n  x:Float32Array, strideX:integer, offsetX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a two-pass algorithm with extended accumulation and alternative\n    indexing semantics and returning an extended precision result.\n"
 base.strided.dswap,"\nbase.strided.dswap( N:integer, x:Float64Array, strideX:integer, y:Float64Array, \n  strideY:integer )\n    Interchanges two double-precision floating-point vectors.\n"

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

@@ -1985,8 +1985,8 @@ base.strided.dsumors,"base.strided.dsumors( N, x, strideX )"
 base.strided.dsumors.ndarray,"base.strided.dsumors.ndarray( N, x, strideX, offsetX )"
 base.strided.dsumpw,"base.strided.dsumpw( N, x, strideX )"
 base.strided.dsumpw.ndarray,"base.strided.dsumpw.ndarray( N, x, strideX, offsetX )"
-base.strided.dsvariance,"base.strided.dsvariance( N, correction, x, stride )"
-base.strided.dsvariance.ndarray,"base.strided.dsvariance.ndarray( N, correction, x, stride, offset )"
+base.strided.dsvariance,"base.strided.dsvariance( N, correction, x, strideX )"
+base.strided.dsvariance.ndarray,"base.strided.dsvariance.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dsvariancepn,"base.strided.dsvariancepn( N, correction, x, strideX )"
 base.strided.dsvariancepn.ndarray,"base.strided.dsvariancepn.ndarray( N, correction, x, strideX, offsetX )"
 base.strided.dswap,"base.strided.dswap( N, x, strideX, y, strideY )"

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

@@ -1985,8 +1985,8 @@ base.strided.dsumors,"base.strided.dsumors( N:integer, x:Float64Array, strideX:i
 base.strided.dsumors.ndarray,"base.strided.dsumors.ndarray( N:integer, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dsumpw,"base.strided.dsumpw( N:integer, x:Float64Array, strideX:integer )"
 base.strided.dsumpw.ndarray,"base.strided.dsumpw.ndarray( N:integer, x:Float64Array, strideX:integer, offsetX:integer )"
-base.strided.dsvariance,"base.strided.dsvariance( N:integer, correction:number, x:Float32Array, stride:integer )"
-base.strided.dsvariance.ndarray,"base.strided.dsvariance.ndarray( N:integer, correction:number, x:Float32Array, stride:integer, offset:integer )"
+base.strided.dsvariance,"base.strided.dsvariance( N:integer, correction:number, x:Float32Array, strideX:integer )"
+base.strided.dsvariance.ndarray,"base.strided.dsvariance.ndarray( N:integer, correction:number, x:Float32Array, strideX:integer, offsetX:integer )"
 base.strided.dsvariancepn,"base.strided.dsvariancepn( N:integer, correction:number, x:Float32Array, strideX:integer )"
 base.strided.dsvariancepn.ndarray,"base.strided.dsvariancepn.ndarray( N:integer, correction:number, x:Float32Array, strideX:integer, offsetX:integer )"
 base.strided.dswap,"base.strided.dswap( N:integer, x:Float64Array, strideX:integer, y:Float64Array, strideY:integer )"