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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/repl/info/data/data.csv
+2-2Lines changed: 2 additions & 2 deletions
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@@ -1996,8 +1996,8 @@ base.strided.dtypeEnum2Str,"\nbase.strided.dtypeEnum2Str( dtype:integer )\n R
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base.strided.dtypeResolveEnum,"\nbase.strided.dtypeResolveEnum( dtype:any )\n Returns the enumeration constant associated with a supported strided array\n data type value.\n"
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base.strided.dtypeResolveStr,"\nbase.strided.dtypeResolveStr( dtype:any )\n Returns the data type string associated with a supported data type value.\n"
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base.strided.dtypeStr2Enum,"\nbase.strided.dtypeStr2Enum( dtype:string )\n Returns the enumeration constant associated with a strided array data type\n string.\n"
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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"
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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"
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base.strided.dvariance,"\nbase.strided.dvariance( N:integer, correction:number, x:Float64Array, \n strideX:integer )\n Computes the variance of a double-precision floating-point strided array.\n"
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base.strided.dvariance.ndarray,"\nbase.strided.dvariance.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 alternative indexing semantics.\n"
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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"
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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"
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base.strided.dvariancepn,"\nbase.strided.dvariancepn( N:integer, correction:number, x:Float64Array, \n strideX:integer )\n Computes the variance of a double-precision floating-point strided array\n using a two-pass algorithm.\n"
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