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docs: follow-up fixes
PR-URL: #11925 Reviewed-by: Athan Reines <kgryte@gmail.com>
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lib/node_modules/@stdlib/blas/base/ndarray/README.md

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@@ -47,7 +47,7 @@ The namespace exposes the following APIs:
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- <span class="signature">[`caxpy( arrays )`][@stdlib/blas/base/ndarray/caxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision complex floating-point ndarray `y`.</span>
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- <span class="signature">[`ccopy( arrays )`][@stdlib/blas/base/ndarray/ccopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.</span>
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- <span class="signature">[`cswap( arrays )`][@stdlib/blas/base/ndarray/cswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional complex single-precision floating-point ndarrays.</span>
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- <span class="signature">[`cswap( arrays )`][@stdlib/blas/base/ndarray/cswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional single-precision complex floating-point ndarrays.</span>
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- <span class="signature">[`dasum( arrays )`][@stdlib/blas/base/ndarray/dasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray.</span>
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- <span class="signature">[`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.</span>
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- <span class="signature">[`dcopy( arrays )`][@stdlib/blas/base/ndarray/dcopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional double-precision floating-point ndarray `x` into a one-dimensional double-precision floating-point ndarray `y`.</span>
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- <span class="signature">[`sswap( arrays )`][@stdlib/blas/base/ndarray/sswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional single-precision floating-point ndarrays.</span>
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- <span class="signature">[`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.</span>
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- <span class="signature">[`zcopy( arrays )`][@stdlib/blas/base/ndarray/zcopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional double-precision complex floating-point ndarray `x` into a one-dimensional double-precision complex floating-point ndarray `y`.</span>
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- <span class="signature">[`zswap( arrays )`][@stdlib/blas/base/ndarray/zswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional complex double-precision floating-point ndarrays.</span>
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- <span class="signature">[`zswap( arrays )`][@stdlib/blas/base/ndarray/zswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional double-precision complex floating-point ndarrays.</span>
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</div>
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lib/node_modules/@stdlib/blas/base/ndarray/docs/types/index.d.ts

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ccopy: typeof ccopy;
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/**
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* Interchanges two one-dimensional complex single-precision floating-point ndarrays.
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* Interchanges two one-dimensional single-precision complex floating-point ndarrays.
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*
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* ## Notes
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*
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zcopy: typeof zcopy;
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/**
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* Interchanges two one-dimensional complex double-precision floating-point ndarrays.
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* Interchanges two one-dimensional double-precision complex floating-point ndarrays.
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*
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* ## Notes
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*

lib/node_modules/@stdlib/blas/ext/base/dcartesian-power/docs/types/index.d.ts

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* @returns output array
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*
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* @example
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* var Float64Array = require( `@stdlib/array/float64` );
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, 2.0 ] );
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* var out = new Float64Array( 8 );
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* @returns output array
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*
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* @example
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* var Float64Array = require( `@stdlib/array/float64` );
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, 2.0 ] );
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* var out = new Float64Array( 8 );
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* @returns output array
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*
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* @example
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* var Float64Array = require( `@stdlib/array/float64` );
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, 2.0 ] );
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* var out = new Float64Array( 8 );
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* // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
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*
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* @example
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* var Float64Array = require( `@stdlib/array/float64` );
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, 2.0 ] );
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* var out = new Float64Array( 8 );

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