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Dec 29, 2024
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docs: update REPL namespace documentation #4336

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16 changes: 8 additions & 8 deletions lib/node_modules/@stdlib/repl/code-blocks/data/data.csv
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/code-blocks/data/data.json
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16 changes: 8 additions & 8 deletions lib/node_modules/@stdlib/repl/help/data/data.csv
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/help/data/data.json
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16 changes: 8 additions & 8 deletions lib/node_modules/@stdlib/repl/info/data/data.csv
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Original file line number Diff line number Diff line change
Expand Up @@ -1844,8 +1844,8 @@ base.strided.dnannsumors,"\nbase.strided.dnannsumors( N:integer, x:Float64Array,
base.strided.dnannsumors.ndarray,"\nbase.strided.dnannsumors.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer, out:Float64Array, strideOut:integer, offsetOut:integer )\n Computes the sum of double-precision floating-point strided array elements,\n ignoring `NaN` values and using ordinary recursive summation and alternative\n indexing semantics.\n"
base.strided.dnannsumpw,"\nbase.strided.dnannsumpw( N:integer, x:Float64Array, strideX:integer, \n out:Float64Array, strideOut:integer )\n Computes the sum of double-precision floating-point strided array elements,\n ignoring `NaN` values and using pairwise summation.\n"
base.strided.dnannsumpw.ndarray,"\nbase.strided.dnannsumpw.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer, out:Float64Array, strideOut:integer, offsetOut:integer )\n Computes the sum of double-precision floating-point strided array elements,\n ignoring `NaN` values and using pairwise summation and alternative indexing\n semantics.\n"
base.strided.dnanrange,"\nbase.strided.dnanrange( N:integer, x:Float64Array, stride:integer )\n Computes the range of a double-precision floating-point strided array,\n ignoring `NaN` values.\n"
base.strided.dnanrange.ndarray,"\nbase.strided.dnanrange.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the range of a double-precision floating-point strided array,\n ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanrange,"\nbase.strided.dnanrange( N:integer, x:Float64Array, strideX:integer )\n Computes the range of a double-precision floating-point strided array,\n ignoring `NaN` values.\n"
base.strided.dnanrange.ndarray,"\nbase.strided.dnanrange.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the range of a double-precision floating-point strided array,\n ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanstdev,"\nbase.strided.dnanstdev( N:integer, correction:number, x:Float64Array, \n stride:integer )\n Computes the standard deviation of a double-precision floating-point strided\n array ignoring `NaN` values.\n"
base.strided.dnanstdev.ndarray,"\nbase.strided.dnanstdev.ndarray( N:integer, correction:number, x:Float64Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a double-precision floating-point strided\n array ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.dnanstdevch,"\nbase.strided.dnanstdevch( N:integer, correction:number, x:Float64Array, \n stride:integer )\n Computes the standard deviation of a double-precision floating-point strided\n array ignoring `NaN` values and using a one-pass trial mean algorithm.\n"
Expand Down Expand Up @@ -2355,8 +2355,8 @@ base.strided.smsktrunc,"\nbase.strided.smsktrunc( N:integer, x:Float32Array, sx:
base.strided.smsktrunc.ndarray,"\nbase.strided.smsktrunc.ndarray( N:integer, x:Float32Array, sx:integer, \n ox:integer, m:Float32Array, sm:integer, om:integer, y:Float32Array, \n sy:integer, oy:integer )\n Rounds each element in a single-precision floating-point strided array `x`\n toward zero according to a strided mask array and assigns the results to\n elements in a single-precision floating-point strided array `y` using\n alternative indexing semantics.\n"
base.strided.snanmax,"\nbase.strided.snanmax( N:integer, x:Float32Array, strideX:integer )\n Computes the maximum value of a single-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.snanmax.ndarray,"\nbase.strided.snanmax.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the maximum value of a single-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.snanmaxabs,"\nbase.strided.snanmaxabs( N:integer, x:Float32Array, stride:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.snanmaxabs.ndarray,"\nbase.strided.snanmaxabs.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, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.snanmaxabs,"\nbase.strided.snanmaxabs( N:integer, x:Float32Array, strideX:integer )\n Computes the maximum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.snanmaxabs.ndarray,"\nbase.strided.snanmaxabs.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, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.snanmean,"\nbase.strided.snanmean( N:integer, x:Float32Array, stride:integer )\n Computes the arithmetic mean of a single-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.snanmean.ndarray,"\nbase.strided.snanmean.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a single-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.snanmeanors,"\nbase.strided.snanmeanors( N:integer, x:Float32Array, stride:integer )\n Computes the arithmetic mean of a single-precision floating-point strided\n array, ignoring `NaN` values and using ordinary recursive summation.\n"
Expand All @@ -2367,16 +2367,16 @@ base.strided.snanmeanwd,"\nbase.strided.snanmeanwd( N:integer, x:Float32Array, s
base.strided.snanmeanwd.ndarray,"\nbase.strided.snanmeanwd.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a single-precision floating-point strided\n array, ignoring `NaN` values and using Welford's algorithm and alternative\n indexing semantics.\n"
base.strided.snanmin,"\nbase.strided.snanmin( N:integer, x:Float32Array, strideX:integer )\n Computes the minimum value of a single-precision floating-point strided\n array, ignoring `NaN` values.\n"
base.strided.snanmin.ndarray,"\nbase.strided.snanmin.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a single-precision floating-point strided\n array, ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.snanminabs,"\nbase.strided.snanminabs( N:integer, x:Float32Array, stride:integer )\n Computes the minimum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.snanminabs.ndarray,"\nbase.strided.snanminabs.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the minimum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.snanminabs,"\nbase.strided.snanminabs( N:integer, x:Float32Array, strideX:integer )\n Computes the minimum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values.\n"
base.strided.snanminabs.ndarray,"\nbase.strided.snanminabs.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the minimum absolute value of a single-precision floating-point\n strided array, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.snanmskmax,"\nbase.strided.snanmskmax( N:integer, x:Float32Array, strideX:integer, \n mask:Uint8Array, strideMask:integer )\n Computes the maximum value of a single-precision floating-point strided\n array according to a mask, ignoring `NaN` values.\n"
base.strided.snanmskmax.ndarray,"\nbase.strided.snanmskmax.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer, mask:Uint8Array, strideMask:integer, offsetMask:integer )\n Computes the maximum value of a single-precision floating-point strided\n array according to a mask, ignoring `NaN` values and using alternative\n indexing semantics.\n"
base.strided.snanmskmin,"\nbase.strided.snanmskmin( N:integer, x:Float32Array, strideX:integer, \n mask:Uint8Array, strideMask:integer )\n Computes the minimum value of a single-precision floating-point strided\n array according to a mask, ignoring `NaN` values.\n"
base.strided.snanmskmin.ndarray,"\nbase.strided.snanmskmin.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer, mask:Uint8Array, strideMask:integer, offsetMask:integer )\n Computes the minimum value of a single-precision floating-point strided\n array according to a mask, ignoring `NaN` values and using alternative\n indexing semantics.\n"
base.strided.snanmskrange,"\nbase.strided.snanmskrange( N:integer, x:Float32Array, strideX:integer, \n mask:Uint8Array, strideMask:integer )\n Computes the range of a single-precision floating-point strided array\n according to a mask, ignoring `NaN` values.\n"
base.strided.snanmskrange.ndarray,"\nbase.strided.snanmskrange.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer, mask:Uint8Array, strideMask:integer, offsetMask:integer )\n Computes the range of a single-precision floating-point strided array\n according to a mask, ignoring `NaN` values and using alternative indexing\n semantics.\n"
base.strided.snanrange,"\nbase.strided.snanrange( N:integer, x:Float32Array, stride:integer )\n Computes the range of a single-precision floating-point strided array,\n ignoring `NaN` values.\n"
base.strided.snanrange.ndarray,"\nbase.strided.snanrange.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the range of a single-precision floating-point strided array,\n ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.snanrange,"\nbase.strided.snanrange( N:integer, x:Float32Array, strideX:integer )\n Computes the range of a single-precision floating-point strided array,\n ignoring `NaN` values.\n"
base.strided.snanrange.ndarray,"\nbase.strided.snanrange.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the range of a single-precision floating-point strided array,\n ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.snanstdev,"\nbase.strided.snanstdev( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array ignoring `NaN` values.\n"
base.strided.snanstdev.ndarray,"\nbase.strided.snanstdev.ndarray( N:integer, correction:number, x:Float32Array, \n stride:integer, offset:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array ignoring `NaN` values and alternative indexing semantics.\n"
base.strided.snanstdevch,"\nbase.strided.snanstdevch( N:integer, correction:number, x:Float32Array, \n stride:integer )\n Computes the standard deviation of a single-precision floating-point strided\n array ignoring `NaN` values and using a one-pass trial mean algorithm.\n"
Expand Down
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/info/data/data.json
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16 changes: 8 additions & 8 deletions lib/node_modules/@stdlib/repl/signature/data/data.csv
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Original file line number Diff line number Diff line change
Expand Up @@ -1845,8 +1845,8 @@ base.strided.dnannsumors,"base.strided.dnannsumors( N, x, strideX, out, strideOu
base.strided.dnannsumors.ndarray,"base.strided.dnannsumors.ndarray( N, x, strideX, offsetX, out, strideOut, offsetOut )"
base.strided.dnannsumpw,"base.strided.dnannsumpw( N, x, strideX, out, strideOut )"
base.strided.dnannsumpw.ndarray,"base.strided.dnannsumpw.ndarray( N, x, strideX, offsetX, out, strideOut, offsetOut )"
base.strided.dnanrange,"base.strided.dnanrange( N, x, stride )"
base.strided.dnanrange.ndarray,"base.strided.dnanrange.ndarray( N, x, stride, offset )"
base.strided.dnanrange,"base.strided.dnanrange( N, x, strideX )"
base.strided.dnanrange.ndarray,"base.strided.dnanrange.ndarray( N, x, strideX, offsetX )"
base.strided.dnanstdev,"base.strided.dnanstdev( N, correction, x, stride )"
base.strided.dnanstdev.ndarray,"base.strided.dnanstdev.ndarray( N, correction, x, stride, offset )"
base.strided.dnanstdevch,"base.strided.dnanstdevch( N, correction, x, stride )"
Expand Down Expand Up @@ -2356,8 +2356,8 @@ base.strided.smsktrunc,"base.strided.smsktrunc( N, x, sx, m, sm, y, sy )"
base.strided.smsktrunc.ndarray,"base.strided.smsktrunc.ndarray( N, x, sx, ox, m, sm, om, y, sy, oy )"
base.strided.snanmax,"base.strided.snanmax( N, x, strideX )"
base.strided.snanmax.ndarray,"base.strided.snanmax.ndarray( N, x, strideX, offsetX )"
base.strided.snanmaxabs,"base.strided.snanmaxabs( N, x, stride )"
base.strided.snanmaxabs.ndarray,"base.strided.snanmaxabs.ndarray( N, x, stride, offset )"
base.strided.snanmaxabs,"base.strided.snanmaxabs( N, x, strideX )"
base.strided.snanmaxabs.ndarray,"base.strided.snanmaxabs.ndarray( N, x, strideX, offsetX )"
base.strided.snanmean,"base.strided.snanmean( N, x, stride )"
base.strided.snanmean.ndarray,"base.strided.snanmean.ndarray( N, x, stride, offset )"
base.strided.snanmeanors,"base.strided.snanmeanors( N, x, stride )"
Expand All @@ -2368,16 +2368,16 @@ base.strided.snanmeanwd,"base.strided.snanmeanwd( N, x, stride )"
base.strided.snanmeanwd.ndarray,"base.strided.snanmeanwd.ndarray( N, x, stride, offset )"
base.strided.snanmin,"base.strided.snanmin( N, x, strideX )"
base.strided.snanmin.ndarray,"base.strided.snanmin.ndarray( N, x, strideX, offsetX )"
base.strided.snanminabs,"base.strided.snanminabs( N, x, stride )"
base.strided.snanminabs.ndarray,"base.strided.snanminabs.ndarray( N, x, stride, offset )"
base.strided.snanminabs,"base.strided.snanminabs( N, x, strideX )"
base.strided.snanminabs.ndarray,"base.strided.snanminabs.ndarray( N, x, strideX, offsetX )"
base.strided.snanmskmax,"base.strided.snanmskmax( N, x, strideX, mask, strideMask )"
base.strided.snanmskmax.ndarray,"base.strided.snanmskmax.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )"
base.strided.snanmskmin,"base.strided.snanmskmin( N, x, strideX, mask, strideMask )"
base.strided.snanmskmin.ndarray,"base.strided.snanmskmin.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )"
base.strided.snanmskrange,"base.strided.snanmskrange( N, x, strideX, mask, strideMask )"
base.strided.snanmskrange.ndarray,"base.strided.snanmskrange.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )"
base.strided.snanrange,"base.strided.snanrange( N, x, stride )"
base.strided.snanrange.ndarray,"base.strided.snanrange.ndarray( N, x, stride, offset )"
base.strided.snanrange,"base.strided.snanrange( N, x, strideX )"
base.strided.snanrange.ndarray,"base.strided.snanrange.ndarray( N, x, strideX, offsetX )"
base.strided.snanstdev,"base.strided.snanstdev( N, correction, x, stride )"
base.strided.snanstdev.ndarray,"base.strided.snanstdev.ndarray( N, correction, x, stride, offset )"
base.strided.snanstdevch,"base.strided.snanstdevch( N, correction, x, stride )"
Expand Down
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/signature/data/data.json
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