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Update copy and fix lint errors
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lib/node_modules/@stdlib/blas/base/daxpy/docs/repl.txt

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{{alias}}.ndarray( N, alpha, x, strideX, offsetX, y, strideY, offsetY )
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Multiplies a vector `x` by a constant `alpha` and adds the result to `y`,
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with alternative indexing semantics.
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using alternative indexing semantics.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offsetX` and `offsetY` parameters support indexing semantics

lib/node_modules/@stdlib/blas/base/dscal/docs/repl.txt

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{{alias}}.ndarray( N, alpha, x, stride, offset )
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Multiplies a double-precision floating-point vector `x` by a constant
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`alpha` with alternative indexing semantics.
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`alpha` using alternative indexing semantics.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offset` parameter supports indexing semantics based on a

lib/node_modules/@stdlib/blas/base/dsdot/docs/types/index.d.ts

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@@ -44,7 +44,7 @@ interface Routine {
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( N: number, x: Float32Array, strideX: number, y: Float32Array, strideY: number ): number; // tslint:disable-line:max-line-length
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/**
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* Computes the dot product of `x` and `y` with alternative indexing semantics and with extended accumulation and result.
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* Computes the dot product of `x` and `y` using alternative indexing semantics and with extended accumulation and result.
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*
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* @param N - number of values over which to compute the dot product
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* @param x - first input array

lib/node_modules/@stdlib/blas/base/saxpy/docs/repl.txt

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{{alias}}.ndarray( N, alpha, x, strideX, offsetX, y, strideY, offsetY )
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Multiplies a vector `x` by a constant `alpha` and adds the result to `y`,
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with alternative indexing semantics.
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using alternative indexing semantics.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offsetX` and `offsetY` parameters support indexing semantics

lib/node_modules/@stdlib/blas/base/sdsdot/docs/types/index.d.ts

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@@ -45,7 +45,7 @@ interface Routine {
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( N: number, scalar: number, x: Float32Array, strideX: number, y: Float32Array, strideY: number ): number; // tslint:disable-line:max-line-length
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/**
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* Computes the dot product of two single-precision floating-point vectors with alternative indexing semantics and with extended accumulation.
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* Computes the dot product of two single-precision floating-point vectors using alternative indexing semantics and with extended accumulation.
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*
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* @param N - number of values over which to compute the dot product
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* @param scalar - scalar constant added to dot product

lib/node_modules/@stdlib/blas/base/sscal/docs/repl.txt

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{{alias}}.ndarray( N, alpha, x, stride, offset )
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Multiplies a single-precision floating-point vector `x` by a constant
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`alpha` with alternative indexing semantics.
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`alpha` using alternative indexing semantics.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offset` parameter supports indexing semantics based on a

lib/node_modules/@stdlib/strided/math/special/dabs/README.md

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@@ -95,7 +95,7 @@ dabs( N, x1, -2, y1, 1 );
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#### dabs.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
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Computes the [absolute value][@stdlib/math/base/special/abs] for each element in `x` and assigns the result to an element in `y`, with alternative indexing semantics.
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Computes the [absolute value][@stdlib/math/base/special/abs] for each element in `x` and assigns the result to an element in `y`, using alternative indexing semantics.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var round = require( '@stdlib/math/base/special/round' );
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var randu = require( '@stdlib/random/base/randu' );
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var Float64Array = require( '@stdlib/array/float64' );
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var dabs = require( '@stdlib/strided/math/special/dabs' ).ndarray;
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var dabs = require( '@stdlib/strided/math/special/dabs' );
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var rand;
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var sign;
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console.log( x );
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console.log( y );
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console.log( dabs( x.length, x, 1, 0, y, -1, y.length-1 ) );
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console.log( dabs.ndarray( x.length, x, 1, 0, y, -1, y.length-1 ) );
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```
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</section>

lib/node_modules/@stdlib/strided/math/special/dabs/docs/repl.txt

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> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
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> y = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
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> {{alias}}( N, x, 2, y, -1 )
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<Float64Array>[ 0.0, 0.0, 3.0, 1.0 ]
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<Float64Array>[ 3.0, 1.0, 0.0, 0.0 ]
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// Using view offsets:
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> var x0 = new {{alias:@stdlib/array/float64}}( [ -1.0, -2.0, -3.0, -4.0 ] );
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{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
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Computes the absolute value for each element in `x` and assigns the result
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to an element in `y`, with alternative indexing semantics.
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to an element in `y`, using alternative indexing semantics.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offsetX` and `offsetY` parameters support indexing semantics

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