Skip to content

docs: update REPL namespace documentation #4624

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jan 7, 2025
Merged

docs: update REPL namespace documentation #4624

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
32 changes: 16 additions & 16 deletions lib/node_modules/@stdlib/repl/code-blocks/data/data.csv
View file
Open in desktop

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/code-blocks/data/data.json
View file
Open in desktop

Large diffs are not rendered by default.

32 changes: 16 additions & 16 deletions lib/node_modules/@stdlib/repl/help/data/data.csv
View file
Open in desktop

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/help/data/data.json
View file
Open in desktop

Large diffs are not rendered by default.

32 changes: 16 additions & 16 deletions lib/node_modules/@stdlib/repl/info/data/data.csv
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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"
Expand Down Expand Up @@ -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"
Expand Down Expand Up @@ -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"
Expand Down
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/info/data/data.json
View file
Open in desktop

Large diffs are not rendered by default.

Loading
Loading