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Shabareesh ShettyShabareesh Shetty
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chore: update repl.txt
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lib/node_modules/@stdlib/blas/base/wasm/zscal/docs/repl.txt

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Input array.
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strideX: integer
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Index increment for `x`.
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Stride length for `x`.
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Returns
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-------
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Input array.
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strideX: integer
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Index increment for `x`.
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Stride length for `x`.
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offsetX: integer
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Starting index for `x`.
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Writes values to the underlying WebAssembly memory instance.
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The function infers element size (i.e., number of bytes per element) from
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the data type of the input array. For example, if provided a Float64Array,
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the function writes each element as a double-precision floating-point number
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the data type of the input array. For example, if provided a Float32Array,
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the function writes each element as a single-precision floating-point number
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to the underlying WebAssembly memory instance.
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In order to write elements as a different data type, you need to perform an
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explicit cast *before* calling this method. For example, in order to write
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double-precision floating-point numbers contained in a Float64Array as
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signed 32-bit integers, you must first convert the Float64Array to an
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single-precision floating-point numbers contained in a Float32Array as
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signed 32-bit integers, you must first convert the Float32Array to an
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Int32Array before passing the values to this method.
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If provided an array having an unknown or "generic" data type, elements are
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Reads values from the underlying WebAssembly memory instance.
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The function infers element size (i.e., number of bytes per element) from
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the data type of the output array. For example, if provided a Float64Array,
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the function reads each element as a double-precision floating-point number
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the data type of the output array. For example, if provided a Float32Array,
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the function reads each element as a single-precision floating-point number
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from the underlying WebAssembly memory instance.
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In order to read elements as a different data type, you need to perform an
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explicit cast *after* calling this method. For example, in order to read
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double-precision floating-point numbers contained in a Float64Array as
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signed 32-bit integers, you must convert the Float64Array to an Int32Array
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single-precision floating-point numbers contained in a Float32Array as
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signed 32-bit integers, you must convert the Float32Array to an Int32Array
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after reading memory values using this method.
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If provided an output array having an unknown or "generic" data type,
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[ 1, 2, 3, 4 ]
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{{alias}}.Module.prototype.main( N, zap, zxp, dx )
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{{alias}}.Module.prototype.main( N, ap, xp, sx )
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Scales a double-precision complex floating-point vector by a double-
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precision complex floating-point constant.
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N: integer
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Number of indexed elements.
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zap: integer
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ap: integer
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Pointer (i.e., byte offset) to a scalar complex constant.
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zxp: integer
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xp: integer
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Input array pointer (i.e., byte offset).
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dx: integer
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Index increment for `x`.
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sx: integer
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Stride length for `x`.
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Returns
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-------
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zxp: integer
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xp: integer
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Input array pointer (i.e., byte offset).
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Examples
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6.0
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{{alias}}.Module.prototype.ndarray( N, zap, zxp, dx, ox )
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{{alias}}.Module.prototype.ndarray( N, ap, xp, sx, ox )
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Scales a double-precision complex floating-point vector by a double-
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precision complex floating-point constant using alternative indexing
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semantics.
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N: integer
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Number of indexed elements.
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zap: integer
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ap: integer
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Pointer (i.e., byte offset) to a scalar complex constant.
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zxp: integer
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xp: integer
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Input array pointer (i.e., byte offset).
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dx: integer
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Index increment for `x`.
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sx: integer
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Stride length for `x`.
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ox: integer
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Starting index for `x`.
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Returns
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-------
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zxp: integer
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xp: integer
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Input array pointer (i.e., byte offset).
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Examples

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