docs: update REPL namespace documentation

PR-URL: #4624

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

@@ -1992,22 +1992,22 @@ base.strided.dtypeResolveStr,"\nbase.strided.dtypeResolveStr( dtype:any )\n    R
 base.strided.dtypeStr2Enum,"\nbase.strided.dtypeStr2Enum( dtype:string )\n    Returns the enumeration constant associated with a strided array data type\n    string.\n"
 base.strided.dvariance,"\nbase.strided.dvariance( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array.\n"
 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  stride: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  stride:integer, offset: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.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.dvariancetk,"\nbase.strided.dvariancetk( N:integer, correction:number, x:Float64Array, \n  stride: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  stride:integer, offset: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  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using Welford's algorithm.\n"
-base.strided.dvariancewd.ndarray,"\nbase.strided.dvariancewd.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 Welford's algorithm and alternative indexing semantics.\n"
-base.strided.dvarianceyc,"\nbase.strided.dvarianceyc( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    using a one-pass algorithm proposed by Youngs and Cramer.\n"
-base.strided.dvarianceyc.ndarray,"\nbase.strided.dvarianceyc.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 one-pass algorithm proposed by Youngs and Cramer and alternative\n    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"
+base.strided.dvariancewd.ndarray,"\nbase.strided.dvariancewd.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 Welford's algorithm and alternative indexing semantics.\n"
+base.strided.dvarianceyc,"\nbase.strided.dvarianceyc( 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 algorithm proposed by Youngs and Cramer.\n"
+base.strided.dvarianceyc.ndarray,"\nbase.strided.dvarianceyc.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 algorithm proposed by Youngs and Cramer and alternative\n    indexing semantics.\n"
 base.strided.dvarm,"\nbase.strided.dvarm( N:integer, mean:number, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean.\n"
 base.strided.dvarm.ndarray,"\nbase.strided.dvarm.ndarray( N:integer, mean:number, correction:number, \n  x:Float64Array, stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using alternative indexing semantics.\n"
 base.strided.dvarmpn,"\nbase.strided.dvarmpn( N:integer, mean:number, correction:number, \n  x:Float64Array, stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using Neely's correction algorithm.\n"
 base.strided.dvarmpn.ndarray,"\nbase.strided.dvarmpn.ndarray( N:integer, mean:number, correction:number, \n  x:Float64Array, stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using Neely's correction algorithm and alternative\n    indexing semantics.\n"
-base.strided.dvarmtk,"\nbase.strided.dvarmtk( N:integer, mean:number, correction:number, \n  x:Float64Array, stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using a one-pass textbook algorithm.\n"
-base.strided.dvarmtk.ndarray,"\nbase.strided.dvarmtk.ndarray( N:integer, mean:number, correction:number, \n  x:Float64Array, stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using a one-pass textbook algorithm and\n    alternative indexing semantics.\n"
+base.strided.dvarmtk,"\nbase.strided.dvarmtk( N:integer, mean:number, correction:number, \n  x:Float64Array, strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using a one-pass textbook algorithm.\n"
+base.strided.dvarmtk.ndarray,"\nbase.strided.dvarmtk.ndarray( N:integer, mean:number, correction:number, \n  x:Float64Array, strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    provided a known mean and using a one-pass textbook algorithm and\n    alternative indexing semantics.\n"
 base.strided.gapx,"\nbase.strided.gapx( N:integer, alpha:number, x:Array|TypedArray, stride:integer )\n    Adds a constant to each element in a strided array.\n"
 base.strided.gapx.ndarray,"\nbase.strided.gapx.ndarray( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer, offset:integer )\n    Adds a constant to each element in a strided array using alternative\n    indexing semantics.\n"
 base.strided.gapxsum,"\nbase.strided.gapxsum( N:integer, alpha:number, x:Array|TypedArray, \n  stride:integer )\n    Adds a constant to each strided array element and computes the sum.\n"
@@ -2309,8 +2309,8 @@ base.strided.smeanpn,"\nbase.strided.smeanpn( N:integer, x:Float32Array, stride:
 base.strided.smeanpn.ndarray,"\nbase.strided.smeanpn.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using a two-pass error correction algorithm and alternative indexing\n    semantics.\n"
 base.strided.smeanpw,"\nbase.strided.smeanpw( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using pairwise summation.\n"
 base.strided.smeanpw.ndarray,"\nbase.strided.smeanpw.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using pairwise summation and alternative indexing semantics.\n"
-base.strided.smeanwd,"\nbase.strided.smeanwd( N:integer, x:Float32Array, stride:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using Welford's algorithm.\n"
-base.strided.smeanwd.ndarray,"\nbase.strided.smeanwd.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using Welford's algorithm and alternative indexing semantics.\n"
+base.strided.smeanwd,"\nbase.strided.smeanwd( N:integer, x:Float32Array, strideX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using Welford's algorithm.\n"
+base.strided.smeanwd.ndarray,"\nbase.strided.smeanwd.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array using Welford's algorithm and alternative indexing semantics.\n"
 base.strided.smediansorted,"\nbase.strided.smediansorted( N:integer, x:Float32Array, strideX:integer )\n    Computes the median value of a sorted single-precision floating-point\n    strided array.\n"
 base.strided.smediansorted.ndarray,"\nbase.strided.smediansorted.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the median value of a sorted single-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.smidrange,"\nbase.strided.smidrange( N:integer, x:Float32Array, strideX:integer )\n    Computes the mid-range of a single-precision floating-point strided array.\n"
@@ -2477,12 +2477,12 @@ base.strided.strunc,"\nbase.strided.strunc( N:integer, x:Float32Array, strideX:i
 base.strided.strunc.ndarray,"\nbase.strided.strunc.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer, y:Float32Array, strideY:integer, offsetY:integer )\n    Rounds each element in a single-precision floating-point strided array `x`\n    toward zero and assigns the results to elements in a single-precision\n    floating-point strided array `y` using alternative indexing semantics.\n"
 base.strided.svariance,"\nbase.strided.svariance( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array.\n"
 base.strided.svariance.ndarray,"\nbase.strided.svariance.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 alternative indexing semantics.\n"
-base.strided.svariancech,"\nbase.strided.svariancech( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a one-pass trial mean algorithm.\n"
-base.strided.svariancech.ndarray,"\nbase.strided.svariancech.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 a one-pass trial mean algorithm and alternative indexing semantics.\n"
+base.strided.svariancech,"\nbase.strided.svariancech( N:integer, correction:number, x:Float32Array, \n  strideX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a one-pass trial mean algorithm.\n"
+base.strided.svariancech.ndarray,"\nbase.strided.svariancech.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 a one-pass trial mean algorithm and alternative indexing semantics.\n"
 base.strided.svariancepn,"\nbase.strided.svariancepn( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a two-pass algorithm.\n"
 base.strided.svariancepn.ndarray,"\nbase.strided.svariancepn.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 a two-pass algorithm and alternative indexing semantics.\n"
-base.strided.svariancetk,"\nbase.strided.svariancetk( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a one-pass textbook algorithm.\n"
-base.strided.svariancetk.ndarray,"\nbase.strided.svariancetk.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 a one-pass textbook algorithm and alternative indexing semantics.\n"
+base.strided.svariancetk,"\nbase.strided.svariancetk( N:integer, correction:number, x:Float32Array, \n  strideX:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a one-pass textbook algorithm.\n"
+base.strided.svariancetk.ndarray,"\nbase.strided.svariancetk.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 a one-pass textbook algorithm and alternative indexing semantics.\n"
 base.strided.svariancewd,"\nbase.strided.svariancewd( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using Welford's algorithm.\n"
 base.strided.svariancewd.ndarray,"\nbase.strided.svariancewd.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 Welford's algorithm and alternative indexing semantics.\n"
 base.strided.svarianceyc,"\nbase.strided.svarianceyc( N:integer, correction:number, x:Float32Array, \n  stride:integer )\n    Computes the variance of a single-precision floating-point strided array\n    using a one-pass algorithm proposed by Youngs and Cramer.\n"