Skip to content

docs: update REPL namespace documentation #4267

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
Dec 27, 2024
Merged

docs: update REPL namespace documentation #4267

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
22 changes: 11 additions & 11 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.

24 changes: 12 additions & 12 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.

24 changes: 12 additions & 12 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 @@ -1768,8 +1768,8 @@ base.strided.dmediansorted,"\nbase.strided.dmediansorted( N:integer, x:Float64Ar
base.strided.dmediansorted.ndarray,"\nbase.strided.dmediansorted.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the median value of a sorted double-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.dmidrange,"\nbase.strided.dmidrange( N:integer, x:Float64Array, stride:integer )\n Computes the mid-range of a double-precision floating-point strided array.\n"
base.strided.dmidrange.ndarray,"\nbase.strided.dmidrange.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the mid-range of a double-precision floating-point strided array\n using alternative indexing semantics.\n"
base.strided.dmin,"\nbase.strided.dmin( N:integer, x:Float64Array, stride:integer )\n Computes the minimum value of a double-precision floating-point strided\n array.\n"
base.strided.dmin.ndarray,"\nbase.strided.dmin.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the minimum value of a double-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.dmin,"\nbase.strided.dmin( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array.\n"
base.strided.dmin.ndarray,"\nbase.strided.dmin.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.dminabs,"\nbase.strided.dminabs( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum absolute value of a double-precision floating-point\n strided array.\n"
base.strided.dminabs.ndarray,"\nbase.strided.dminabs.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the minimum absolute value of a double-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.dminsorted,"\nbase.strided.dminsorted( N:integer, x:Float64Array, stride:integer )\n Computes the minimum value of a sorted double-precision floating-point\n strided array.\n"
Expand Down Expand Up @@ -1810,10 +1810,10 @@ base.strided.dnanasum,"\nbase.strided.dnanasum( N:integer, x:Float64Array, strid
base.strided.dnanasum.ndarray,"\nbase.strided.dnanasum.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the sum of absolute values (L1 norm) of double-precision floating-\n point strided array elements, ignoring `NaN` values and using alternative\n indexing semantics.\n"
base.strided.dnanasumors,"\nbase.strided.dnanasumors( N:integer, x:Float64Array, strideX:integer )\n Computes the sum of absolute values (L1 norm) of double-precision floating-\n point strided array elements, ignoring `NaN` values and using ordinary\n recursive summation.\n"
base.strided.dnanasumors.ndarray,"\nbase.strided.dnanasumors.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the sum of absolute values (L1 norm) of double-precision floating-\n point strided array elements, ignoring `NaN` values and using ordinary\n recursive summation alternative indexing semantics.\n"
base.strided.dnanmax,"\nbase.strided.dnanmax( N:integer, x:Float64Array, stride:integer )\n Computes the maximum value of a double-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.dnanmax.ndarray,"\nbase.strided.dnanmax.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the maximum value of a double-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanmaxabs,"\nbase.strided.dnanmaxabs( N:integer, x:Float64Array, stride:integer )\n Computes the maximum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.dnanmaxabs.ndarray,"\nbase.strided.dnanmaxabs.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the maximum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.dnanmax,"\nbase.strided.dnanmax( N:integer, x:Float64Array, strideX:integer )\n Computes the maximum value of a double-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.dnanmax.ndarray,"\nbase.strided.dnanmax.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the maximum value of a double-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanmaxabs,"\nbase.strided.dnanmaxabs( N:integer, x:Float64Array, strideX:integer )\n Computes the maximum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.dnanmaxabs.ndarray,"\nbase.strided.dnanmaxabs.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the maximum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.dnanmean,"\nbase.strided.dnanmean( N:integer, x:Float64Array, stride:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.dnanmean.ndarray,"\nbase.strided.dnanmean.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanmeanors,"\nbase.strided.dnanmeanors( N:integer, x:Float64Array, stride:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, ignoring `NaN` values and using ordinary recursive summation.\n"
Expand All @@ -1824,8 +1824,8 @@ base.strided.dnanmeanpw,"\nbase.strided.dnanmeanpw( N:integer, x:Float64Array, s
base.strided.dnanmeanpw.ndarray,"\nbase.strided.dnanmeanpw.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, ignoring `NaN` values and using pairwise summation and alternative\n indexing semantics.\n"
base.strided.dnanmeanwd,"\nbase.strided.dnanmeanwd( N:integer, x:Float64Array, stride:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, using Welford's algorithm and ignoring `NaN` values.\n"
base.strided.dnanmeanwd.ndarray,"\nbase.strided.dnanmeanwd.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array, ignoring `NaN` values and using Welford's algorithm and alternative\n indexing semantics.\n"
base.strided.dnanmin,"\nbase.strided.dnanmin( N:integer, x:Float64Array, stride:integer )\n Computes the minimum value of a double-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.dnanmin.ndarray,"\nbase.strided.dnanmin.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the minimum value of a double-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanmin,"\nbase.strided.dnanmin( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.dnanmin.ndarray,"\nbase.strided.dnanmin.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanminabs,"\nbase.strided.dnanminabs( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.dnanminabs.ndarray,"\nbase.strided.dnanminabs.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the minimum absolute value of a double-precision floating-point\n strided array, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.dnanmskmax,"\nbase.strided.dnanmskmax( N:integer, x:Float64Array, strideX:integer, \n mask:Uint8Array, strideMask:integer )\n Computes the maximum value of a double-precision floating-point strided\n array according to a mask, ignoring `NaN` values.\n"
Expand Down Expand Up @@ -2285,10 +2285,10 @@ base.strided.smap,"\nbase.strided.smap( N:integer, x:Float32Array, strideX:integ
base.strided.smap.ndarray,"\nbase.strided.smap.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer, y:Float32Array, strideY:integer, offsetY:integer, \n fcn:Function )\n Applies a unary function to a single-precision floating-point strided input\n array and assigns results to a single-precision floating-point strided\n output array using alternative indexing semantics.\n"
base.strided.smap2,"\nbase.strided.smap2( N:integer, x:Float32Array, sx:integer, y:Float32Array, \n sy:integer, z:Float32Array, sz:integer, fcn:Function )\n Applies a binary function to single-precision floating-point strided input\n arrays and assigns results to a single-precision floating-point strided\n output array.\n"
base.strided.smap2.ndarray,"\nbase.strided.smap2.ndarray( N:integer, x:Float32Array, sx:integer, ox:integer, \n y:Float32Array, sy:integer, oy:integer, z:Float32Array, sz:integer, \n oz:integer, fcn:Function )\n Applies a binary function to single-precision floating-point strided input\n arrays and assigns results to a single-precision floating-point strided\n output array using alternative indexing semantics.\n"
base.strided.smax,"\nbase.strided.smax( N:integer, x:Float32Array, stride:integer )\n Computes the maximum value of a single-precision floating-point strided\n array.\n"
base.strided.smax.ndarray,"\nbase.strided.smax.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the maximum value of a single-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.smaxabs,"\nbase.strided.smaxabs( N:integer, x:Float32Array, stride:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array.\n"
base.strided.smaxabs.ndarray,"\nbase.strided.smaxabs.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.smax,"\nbase.strided.smax( N:integer, x:Float32Array, strideX:integer )\n Computes the maximum value of a single-precision floating-point strided\n array.\n"
base.strided.smax.ndarray,"\nbase.strided.smax.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the maximum value of a single-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.smaxabs,"\nbase.strided.smaxabs( N:integer, x:Float32Array, strideX:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array.\n"
base.strided.smaxabs.ndarray,"\nbase.strided.smaxabs.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.smaxabssorted,"\nbase.strided.smaxabssorted( N:integer, x:Float32Array, stride:integer )\n Computes the maximum absolute value of a sorted single-precision floating-\n point strided array.\n"
base.strided.smaxabssorted.ndarray,"\nbase.strided.smaxabssorted.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the maximum absolute value of a sorted single-precision floating-\n point strided array using alternative indexing semantics.\n"
base.strided.smaxsorted,"\nbase.strided.smaxsorted( N:integer, x:Float32Array, stride:integer )\n Computes the maximum value of a sorted single-precision floating-point\n strided array.\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.

24 changes: 12 additions & 12 deletions lib/node_modules/@stdlib/repl/signature/data/data.csv
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1769,8 +1769,8 @@ base.strided.dmediansorted,"base.strided.dmediansorted( N, x, stride )"
base.strided.dmediansorted.ndarray,"base.strided.dmediansorted.ndarray( N, x, stride, offset )"
base.strided.dmidrange,"base.strided.dmidrange( N, x, stride )"
base.strided.dmidrange.ndarray,"base.strided.dmidrange.ndarray( N, x, stride, offset )"
base.strided.dmin,"base.strided.dmin( N, x, stride )"
base.strided.dmin.ndarray,"base.strided.dmin.ndarray( N, x, stride, offset )"
base.strided.dmin,"base.strided.dmin( N, x, strideX )"
base.strided.dmin.ndarray,"base.strided.dmin.ndarray( N, x, strideX, offsetX )"
base.strided.dminabs,"base.strided.dminabs( N, x, strideX )"
base.strided.dminabs.ndarray,"base.strided.dminabs.ndarray( N, x, strideX, offsetX )"
base.strided.dminsorted,"base.strided.dminsorted( N, x, stride )"
Expand Down Expand Up @@ -1811,10 +1811,10 @@ base.strided.dnanasum,"base.strided.dnanasum( N, x, strideX )"
base.strided.dnanasum.ndarray,"base.strided.dnanasum.ndarray( N, x, strideX, offsetX )"
base.strided.dnanasumors,"base.strided.dnanasumors( N, x, strideX )"
base.strided.dnanasumors.ndarray,"base.strided.dnanasumors.ndarray( N, x, strideX, offsetX )"
base.strided.dnanmax,"base.strided.dnanmax( N, x, stride )"
base.strided.dnanmax.ndarray,"base.strided.dnanmax.ndarray( N, x, stride, offset )"
base.strided.dnanmaxabs,"base.strided.dnanmaxabs( N, x, stride )"
base.strided.dnanmaxabs.ndarray,"base.strided.dnanmaxabs.ndarray( N, x, stride, offset )"
base.strided.dnanmax,"base.strided.dnanmax( N, x, strideX )"
base.strided.dnanmax.ndarray,"base.strided.dnanmax.ndarray( N, x, strideX, offsetX )"
base.strided.dnanmaxabs,"base.strided.dnanmaxabs( N, x, strideX )"
base.strided.dnanmaxabs.ndarray,"base.strided.dnanmaxabs.ndarray( N, x, strideX, offsetX )"
base.strided.dnanmean,"base.strided.dnanmean( N, x, stride )"
base.strided.dnanmean.ndarray,"base.strided.dnanmean.ndarray( N, x, stride, offset )"
base.strided.dnanmeanors,"base.strided.dnanmeanors( N, x, stride )"
Expand All @@ -1825,8 +1825,8 @@ base.strided.dnanmeanpw,"base.strided.dnanmeanpw( N, x, stride )"
base.strided.dnanmeanpw.ndarray,"base.strided.dnanmeanpw.ndarray( N, x, stride, offset )"
base.strided.dnanmeanwd,"base.strided.dnanmeanwd( N, x, stride )"
base.strided.dnanmeanwd.ndarray,"base.strided.dnanmeanwd.ndarray( N, x, stride, offset )"
base.strided.dnanmin,"base.strided.dnanmin( N, x, stride )"
base.strided.dnanmin.ndarray,"base.strided.dnanmin.ndarray( N, x, stride, offset )"
base.strided.dnanmin,"base.strided.dnanmin( N, x, strideX )"
base.strided.dnanmin.ndarray,"base.strided.dnanmin.ndarray( N, x, strideX, offsetX )"
base.strided.dnanminabs,"base.strided.dnanminabs( N, x, strideX )"
base.strided.dnanminabs.ndarray,"base.strided.dnanminabs.ndarray( N, x, strideX, offsetX )"
base.strided.dnanmskmax,"base.strided.dnanmskmax( N, x, strideX, mask, strideMask )"
Expand Down Expand Up @@ -2286,10 +2286,10 @@ base.strided.smap,"base.strided.smap( N, x, strideX, y, strideY, fcn )"
base.strided.smap.ndarray,"base.strided.smap.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, fcn )"
base.strided.smap2,"base.strided.smap2( N, x, sx, y, sy, z, sz, fcn )"
base.strided.smap2.ndarray,"base.strided.smap2.ndarray( N, x, sx, ox, y, sy, oy, z, sz, oz, fcn )"
base.strided.smax,"base.strided.smax( N, x, stride )"
base.strided.smax.ndarray,"base.strided.smax.ndarray( N, x, stride, offset )"
base.strided.smaxabs,"base.strided.smaxabs( N, x, stride )"
base.strided.smaxabs.ndarray,"base.strided.smaxabs.ndarray( N, x, stride, offset )"
base.strided.smax,"base.strided.smax( N, x, strideX )"
base.strided.smax.ndarray,"base.strided.smax.ndarray( N, x, strideX, offsetX )"
base.strided.smaxabs,"base.strided.smaxabs( N, x, strideX )"
base.strided.smaxabs.ndarray,"base.strided.smaxabs.ndarray( N, x, strideX, offsetX )"
base.strided.smaxabssorted,"base.strided.smaxabssorted( N, x, stride )"
base.strided.smaxabssorted.ndarray,"base.strided.smaxabssorted.ndarray( N, x, stride, offset )"
base.strided.smaxsorted,"base.strided.smaxsorted( N, x, stride )"
Expand Down
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/signature/data/data.json
View file
Open in desktop

Large diffs are not rendered by default.

Loading
Loading