docs: update REPL namespace documentation

PR-URL: stdlib-js#4741
Reviewed-by: Athan Reines <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>

Author: stdlib-bot

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

@@ -1742,8 +1742,8 @@ base.strided.dmean,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.stride
 base.strided.dmean.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmean.ndarray( x.length, 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.dmean.ndarray( N, x, 2, 1 )\n"
 base.strided.dmeankbn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn( x.length, 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.dmeankbn( N, 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.dmeankbn( N, x1, stride )\n"
 base.strided.dmeankbn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn.ndarray( x.length, 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.dmeankbn.ndarray( N, x, 2, 1 )\n"
-base.strided.dmeankbn2,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn2( x.length, 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.dmeankbn2( N, 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.dmeankbn2( N, x1, stride )\n"
-base.strided.dmeankbn2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn2.ndarray( x.length, 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.dmeankbn2.ndarray( N, x, 2, 1 )\n"
+base.strided.dmeankbn2,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn2( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dmeankbn2( 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.dmeankbn2( 3, x1, 2 )\n"
+base.strided.dmeankbn2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeankbn2.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dmeankbn2.ndarray( 3, x, 2, 1 )\n"
 base.strided.dmeanli,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeanli( x.length, 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.dmeanli( N, 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.dmeanli( N, x1, stride )\n"
 base.strided.dmeanli.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeanli.ndarray( x.length, 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.dmeanli.ndarray( N, x, 2, 1 )\n"
 base.strided.dmeanlipw,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeanlipw( x.length, 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.dmeanlipw( N, 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.dmeanlipw( N, x1, stride )\n"

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

@@ -1742,8 +1742,8 @@ base.strided.dmean,"\nbase.strided.dmean( N:integer, x:Float64Array, stride:inte
 base.strided.dmean.ndarray,"\nbase.strided.dmean.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.dmeankbn,"\nbase.strided.dmeankbn( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using an improved Kahan–Babuška algorithm.\n"
 base.strided.dmeankbn.ndarray,"\nbase.strided.dmeankbn.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using an improved Kahan–Babuška algorithm and alternative indexing\n    semantics.\n"
-base.strided.dmeankbn2,"\nbase.strided.dmeankbn2( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a second-order iterative Kahan–Babuška algorithm.\n"
-base.strided.dmeankbn2.ndarray,"\nbase.strided.dmeankbn2.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a second-order iterative Kahan–Babuška algorithm and alternative\n    indexing semantics.\n"
+base.strided.dmeankbn2,"\nbase.strided.dmeankbn2( N:integer, x:Float64Array, strideX:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a second-order iterative Kahan–Babuška algorithm.\n"
+base.strided.dmeankbn2.ndarray,"\nbase.strided.dmeankbn2.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a second-order iterative Kahan–Babuška algorithm and alternative\n    indexing semantics.\n"
 base.strided.dmeanli,"\nbase.strided.dmeanli( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a one-pass trial mean algorithm.\n"
 base.strided.dmeanli.ndarray,"\nbase.strided.dmeanli.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a one-pass trial mean algorithm and alternative indexing\n    semantics.\n"
 base.strided.dmeanlipw,"\nbase.strided.dmeanlipw( N:integer, x:Float64Array, stride:integer )\n    Computes the arithmetic mean of a double-precision floating-point strided\n    array using a one-pass trial mean algorithm with pairwise summation.\n"

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

@@ -1743,8 +1743,8 @@ base.strided.dmean,"base.strided.dmean( N, x, stride )"
 base.strided.dmean.ndarray,"base.strided.dmean.ndarray( N, x, stride, offset )"
 base.strided.dmeankbn,"base.strided.dmeankbn( N, x, stride )"
 base.strided.dmeankbn.ndarray,"base.strided.dmeankbn.ndarray( N, x, stride, offset )"
-base.strided.dmeankbn2,"base.strided.dmeankbn2( N, x, stride )"
-base.strided.dmeankbn2.ndarray,"base.strided.dmeankbn2.ndarray( N, x, stride, offset )"
+base.strided.dmeankbn2,"base.strided.dmeankbn2( N, x, strideX )"
+base.strided.dmeankbn2.ndarray,"base.strided.dmeankbn2.ndarray( N, x, strideX, offsetX )"
 base.strided.dmeanli,"base.strided.dmeanli( N, x, stride )"
 base.strided.dmeanli.ndarray,"base.strided.dmeanli.ndarray( N, x, stride, offset )"
 base.strided.dmeanlipw,"base.strided.dmeanlipw( N, x, stride )"

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

@@ -1743,8 +1743,8 @@ base.strided.dmean,"base.strided.dmean( N:integer, x:Float64Array, stride:intege
 base.strided.dmean.ndarray,"base.strided.dmean.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dmeankbn,"base.strided.dmeankbn( N:integer, x:Float64Array, stride:integer )"
 base.strided.dmeankbn.ndarray,"base.strided.dmeankbn.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
-base.strided.dmeankbn2,"base.strided.dmeankbn2( N:integer, x:Float64Array, stride:integer )"
-base.strided.dmeankbn2.ndarray,"base.strided.dmeankbn2.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
+base.strided.dmeankbn2,"base.strided.dmeankbn2( N:integer, x:Float64Array, strideX:integer )"
+base.strided.dmeankbn2.ndarray,"base.strided.dmeankbn2.ndarray( N:integer, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dmeanli,"base.strided.dmeanli( N:integer, x:Float64Array, stride:integer )"
 base.strided.dmeanli.ndarray,"base.strided.dmeanli.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dmeanlipw,"base.strided.dmeanlipw( N:integer, x:Float64Array, stride:integer )"