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docs: update REPL namespace documentation #7457

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32 changes: 16 additions & 16 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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84 changes: 42 additions & 42 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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28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/repl/info/data/data.csv
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Expand Up @@ -2153,12 +2153,12 @@ base.strided.nanmaxBy,"\nbase.strided.nanmaxBy( N:integer, x:Array|TypedArray|Ob
base.strided.nanmaxBy.ndarray,"\nbase.strided.nanmaxBy.ndarray( N:integer, x:Array|TypedArray|Object, \n strideX:integer, offsetX:integer, clbk:Function[, thisArg:any] )\n Computes the maximum value of a strided array via a callback function,\n ignoring `NaN` values and using alternative indexing semantics.\n"
base.strided.nanmean,"\nbase.strided.nanmean( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values.\n"
base.strided.nanmean.ndarray,"\nbase.strided.nanmean.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using alternative indexing semantics.\n"
base.strided.nanmeanors,"\nbase.strided.nanmeanors( N:integer, x:Array|TypedArray, stride:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using ordinary recursive summation.\n"
base.strided.nanmeanors.ndarray,"\nbase.strided.nanmeanors.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using ordinary recursive summation and alternative indexing semantics.\n"
base.strided.nanmeanors,"\nbase.strided.nanmeanors( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using ordinary recursive summation.\n"
base.strided.nanmeanors.ndarray,"\nbase.strided.nanmeanors.ndarray( N:integer, x:Array|TypedArray, \n strideX:integer, offsetX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using ordinary recursive summation and alternative indexing semantics.\n"
base.strided.nanmeanpn,"\nbase.strided.nanmeanpn( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using a two-pass error correction algorithm.\n"
base.strided.nanmeanpn.ndarray,"\nbase.strided.nanmeanpn.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using a two-pass error correction algorithm and alternative indexing\n semantics.\n"
base.strided.nanmeanwd,"\nbase.strided.nanmeanwd( N:integer, x:Array|TypedArray, stride:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using Welford's algorithm.\n"
base.strided.nanmeanwd.ndarray,"\nbase.strided.nanmeanwd.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using Welford's algorithm and alternative indexing semantics.\n"
base.strided.nanmeanwd,"\nbase.strided.nanmeanwd( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using Welford's algorithm.\n"
base.strided.nanmeanwd.ndarray,"\nbase.strided.nanmeanwd.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n using Welford's algorithm and alternative indexing semantics.\n"
base.strided.nanmin,"\nbase.strided.nanmin( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the minimum value of a strided array, ignoring `NaN` values.\n"
base.strided.nanmin.ndarray,"\nbase.strided.nanmin.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a strided array, ignoring `NaN` values and\n using alternative indexing semantics.\n"
base.strided.nanminabs,"\nbase.strided.nanminabs( N:integer, x:Array|TypedArray, strideX:integer )\n Computes the minimum absolute value of a strided array, ignoring `NaN`\n values.\n"
Expand All @@ -2175,24 +2175,24 @@ base.strided.nanrange,"\nbase.strided.nanrange( N:integer, x:Array|TypedArray, s
base.strided.nanrange.ndarray,"\nbase.strided.nanrange.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n offsetX:integer )\n Computes the range of a strided array, ignoring `NaN` values and using\n alternative indexing semantics.\n"
base.strided.nanrangeBy,"\nbase.strided.nanrangeBy( N:integer, x:Array|TypedArray|Object, stride:integer, \n clbk:Function[, thisArg:any] )\n Calculates the range of a strided array via a callback function, ignoring\n `NaN` values.\n"
base.strided.nanrangeBy.ndarray,"\nbase.strided.nanrangeBy.ndarray( N:integer, x:Array|TypedArray|Object, \n stride:integer, offset:integer, clbk:Function[, thisArg:any] )\n Calculates the range of a strided array via a callback function, ignoring\n `NaN` values and using alternative indexing semantics.\n"
base.strided.nanstdev,"\nbase.strided.nanstdev( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values.\n"
base.strided.nanstdev.ndarray,"\nbase.strided.nanstdev.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using alternative indexing semantics.\n"
base.strided.nanstdev,"\nbase.strided.nanstdev( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values.\n"
base.strided.nanstdev.ndarray,"\nbase.strided.nanstdev.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using alternative indexing semantics.\n"
base.strided.nanstdevch,"\nbase.strided.nanstdevch( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass trial mean algorithm.\n"
base.strided.nanstdevch.ndarray,"\nbase.strided.nanstdevch.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass trial mean algorithm and alternative indexing semantics.\n"
base.strided.nanstdevpn,"\nbase.strided.nanstdevpn( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a two-pass algorithm.\n"
base.strided.nanstdevpn.ndarray,"\nbase.strided.nanstdevpn.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a two-pass algorithm and alternative indexing semantics.\n"
base.strided.nanstdevpn,"\nbase.strided.nanstdevpn( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a two-pass algorithm.\n"
base.strided.nanstdevpn.ndarray,"\nbase.strided.nanstdevpn.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a two-pass algorithm and alternative indexing semantics.\n"
base.strided.nanstdevtk,"\nbase.strided.nanstdevtk( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass textbook algorithm.\n"
base.strided.nanstdevtk.ndarray,"\nbase.strided.nanstdevtk.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass textbook algorithm and alternative indexing semantics.\n"
base.strided.nanstdevwd,"\nbase.strided.nanstdevwd( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using Welford's algorithm.\n"
base.strided.nanstdevwd.ndarray,"\nbase.strided.nanstdevwd.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using Welford's algorithm and alternative indexing semantics.\n"
base.strided.nanstdevyc,"\nbase.strided.nanstdevyc( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass algorithm proposed by Youngs and Cramer.\n"
base.strided.nanstdevyc.ndarray,"\nbase.strided.nanstdevyc.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass algorithm proposed by Youngs and Cramer and alternative\n indexing semantics.\n"
base.strided.nanvariance,"\nbase.strided.nanvariance( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the variance of a strided array ignoring `NaN` values.\n"
base.strided.nanvariance.ndarray,"\nbase.strided.nanvariance.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the variance of a strided array ignoring `NaN` values and using\n alternative indexing semantics.\n"
base.strided.nanstdevyc,"\nbase.strided.nanstdevyc( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass algorithm proposed by Youngs and Cramer.\n"
base.strided.nanstdevyc.ndarray,"\nbase.strided.nanstdevyc.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the standard deviation of a strided array ignoring `NaN` values and\n using a one-pass algorithm proposed by Youngs and Cramer and alternative\n indexing semantics.\n"
base.strided.nanvariance,"\nbase.strided.nanvariance( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the variance of a strided array ignoring `NaN` values.\n"
base.strided.nanvariance.ndarray,"\nbase.strided.nanvariance.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using\n alternative indexing semantics.\n"
base.strided.nanvariancech,"\nbase.strided.nanvariancech( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n one-pass trial mean algorithm.\n"
base.strided.nanvariancech.ndarray,"\nbase.strided.nanvariancech.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n one-pass trial mean algorithm and alternative indexing semantics.\n"
base.strided.nanvariancepn,"\nbase.strided.nanvariancepn( N:integer, correction:number, x:Array|TypedArray, \n stride:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n two-pass algorithm.\n"
base.strided.nanvariancepn.ndarray,"\nbase.strided.nanvariancepn.ndarray( N:integer, correction:number, \n x:Array|TypedArray, stride:integer, offset:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n two-pass algorithm and alternative indexing semantics.\n"
base.strided.nanvariancepn,"\nbase.strided.nanvariancepn( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n two-pass algorithm.\n"
base.strided.nanvariancepn.ndarray,"\nbase.strided.nanvariancepn.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n two-pass algorithm and alternative indexing semantics.\n"
base.strided.nanvariancetk,"\nbase.strided.nanvariancetk( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n one-pass textbook algorithm.\n"
base.strided.nanvariancetk.ndarray,"\nbase.strided.nanvariancetk.ndarray( N:integer, correction:number, \n x:Array|TypedArray, strideX:integer, offsetX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using a\n one-pass textbook algorithm and alternative indexing semantics.\n"
base.strided.nanvariancewd,"\nbase.strided.nanvariancewd( N:integer, correction:number, x:Array|TypedArray, \n strideX:integer )\n Computes the variance of a strided array ignoring `NaN` values and using\n Welford's algorithm.\n"
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/info/data/data.json
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28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/repl/signature/data/data.csv
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Expand Up @@ -2153,12 +2153,12 @@ base.strided.nanmaxBy,"base.strided.nanmaxBy( N, x, strideX, clbk[, thisArg] )"
base.strided.nanmaxBy.ndarray,"base.strided.nanmaxBy.ndarray( N, x, strideX, offsetX, clbk[, thisArg] )"
base.strided.nanmean,"base.strided.nanmean( N, x, strideX )"
base.strided.nanmean.ndarray,"base.strided.nanmean.ndarray( N, x, strideX, offsetX )"
base.strided.nanmeanors,"base.strided.nanmeanors( N, x, stride )"
base.strided.nanmeanors.ndarray,"base.strided.nanmeanors.ndarray( N, x, stride, offset )"
base.strided.nanmeanors,"base.strided.nanmeanors( N, x, strideX )"
base.strided.nanmeanors.ndarray,"base.strided.nanmeanors.ndarray( N, x, strideX, offsetX )"
base.strided.nanmeanpn,"base.strided.nanmeanpn( N, x, strideX )"
base.strided.nanmeanpn.ndarray,"base.strided.nanmeanpn.ndarray( N, x, strideX, offsetX )"
base.strided.nanmeanwd,"base.strided.nanmeanwd( N, x, stride )"
base.strided.nanmeanwd.ndarray,"base.strided.nanmeanwd.ndarray( N, x, stride, offset )"
base.strided.nanmeanwd,"base.strided.nanmeanwd( N, x, strideX )"
base.strided.nanmeanwd.ndarray,"base.strided.nanmeanwd.ndarray( N, x, strideX, offsetX )"
base.strided.nanmin,"base.strided.nanmin( N, x, strideX )"
base.strided.nanmin.ndarray,"base.strided.nanmin.ndarray( N, x, strideX, offsetX )"
base.strided.nanminabs,"base.strided.nanminabs( N, x, strideX )"
Expand All @@ -2175,24 +2175,24 @@ base.strided.nanrange,"base.strided.nanrange( N, x, strideX )"
base.strided.nanrange.ndarray,"base.strided.nanrange.ndarray( N, x, strideX, offsetX )"
base.strided.nanrangeBy,"base.strided.nanrangeBy( N, x, stride, clbk[, thisArg] )"
base.strided.nanrangeBy.ndarray,"base.strided.nanrangeBy.ndarray( N, x, stride, offset, clbk[, thisArg] )"
base.strided.nanstdev,"base.strided.nanstdev( N, correction, x, stride )"
base.strided.nanstdev.ndarray,"base.strided.nanstdev.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdev,"base.strided.nanstdev( N, correction, x, strideX )"
base.strided.nanstdev.ndarray,"base.strided.nanstdev.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanstdevch,"base.strided.nanstdevch( N, correction, x, stride )"
base.strided.nanstdevch.ndarray,"base.strided.nanstdevch.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdevpn,"base.strided.nanstdevpn( N, correction, x, stride )"
base.strided.nanstdevpn.ndarray,"base.strided.nanstdevpn.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdevpn,"base.strided.nanstdevpn( N, correction, x, strideX )"
base.strided.nanstdevpn.ndarray,"base.strided.nanstdevpn.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanstdevtk,"base.strided.nanstdevtk( N, correction, x, stride )"
base.strided.nanstdevtk.ndarray,"base.strided.nanstdevtk.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdevwd,"base.strided.nanstdevwd( N, correction, x, stride )"
base.strided.nanstdevwd.ndarray,"base.strided.nanstdevwd.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdevyc,"base.strided.nanstdevyc( N, correction, x, stride )"
base.strided.nanstdevyc.ndarray,"base.strided.nanstdevyc.ndarray( N, correction, x, stride, offset )"
base.strided.nanvariance,"base.strided.nanvariance( N, correction, x, stride )"
base.strided.nanvariance.ndarray,"base.strided.nanvariance.ndarray( N, correction, x, stride, offset )"
base.strided.nanstdevyc,"base.strided.nanstdevyc( N, correction, x, strideX )"
base.strided.nanstdevyc.ndarray,"base.strided.nanstdevyc.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanvariance,"base.strided.nanvariance( N, correction, x, strideX )"
base.strided.nanvariance.ndarray,"base.strided.nanvariance.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanvariancech,"base.strided.nanvariancech( N, correction, x, strideX )"
base.strided.nanvariancech.ndarray,"base.strided.nanvariancech.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanvariancepn,"base.strided.nanvariancepn( N, correction, x, stride )"
base.strided.nanvariancepn.ndarray,"base.strided.nanvariancepn.ndarray( N, correction, x, stride, offset )"
base.strided.nanvariancepn,"base.strided.nanvariancepn( N, correction, x, strideX )"
base.strided.nanvariancepn.ndarray,"base.strided.nanvariancepn.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanvariancetk,"base.strided.nanvariancetk( N, correction, x, strideX )"
base.strided.nanvariancetk.ndarray,"base.strided.nanvariancetk.ndarray( N, correction, x, strideX, offsetX )"
base.strided.nanvariancewd,"base.strided.nanvariancewd( N, correction, x, strideX )"
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/repl/signature/data/data.json
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