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chore: minor clean-up
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lib/node_modules/@stdlib/array/base/assert/has-almost-equal-values/docs/types/test.ts

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@@ -26,7 +26,7 @@ import hasAlmostEqualValues = require( './index' );
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{
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const x = [ 1, 2, 3 ];
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hasAlmostEqualValues( x, x ); // $ExpectType boolean
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hasAlmostEqualValues( x, x, 0 ); // $ExpectType boolean
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hasAlmostEqualValues( new Float64Array( x ), new Float64Array( x ), 0 ); // $ExpectType boolean
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hasAlmostEqualValues( new Float32Array( x ), new Float32Array( x ), 0 ); // $ExpectType boolean
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hasAlmostEqualValues( new Int32Array( x ), new Int32Array( x ), 0 ); // $ExpectType boolean

lib/node_modules/@stdlib/array/base/assert/has-almost-equal-values/lib/main.js

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@@ -101,7 +101,7 @@ function internal( x, y, maxULP, fcn ) {
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* var x = arraylike2object( toAccessorArray( [ 0, 0, 0, 0 ] ) );
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* var y = arraylike2object( toAccessorArray( [ 0, 0, 1, 0 ] ) );
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*
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* var out = accessors( x, y, 1, assert);
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* var out = accessors( x, y, 1, assert );
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* // returns false
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*/
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function accessors( x, y, maxULP, fcn ) {

lib/node_modules/@stdlib/blas/base/wasm/dnrm2/docs/repl.txt

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@@ -164,7 +164,7 @@
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{{alias}}.Module.prototype.view
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Read-only property which returns a WebAsssembly memory buffer as a DataView.
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Read-only property which returns a WebAssembly memory buffer as a DataView.
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Returns
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-------

lib/node_modules/@stdlib/blas/base/wasm/dnrm2/docs/types/index.d.ts

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@@ -96,7 +96,7 @@ interface ModuleConstructor {
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* // Specify a vector length:
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* var N = 5;
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*
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* // Define pointer (i.e., byte offsets) for storing two vectors:
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* // Define pointer (i.e., byte offsets) for storing vector:
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* var xptr = 0;
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*
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* // Write vector values to module memory:

lib/node_modules/@stdlib/math/base/special/kernel-log1pf/examples/c/example.c

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@@ -26,6 +26,6 @@ int main( void ) {
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int i;
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for ( i = 0; i < 10; i++ ) {
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out = stdlib_base_kernel_log1pf( x[ i ] );
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printf ( "kernelLog1pf(%f) = %f\n", x[ i ], out );
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printf( "kernelLog1pf(%f) = %f\n", x[ i ], out );
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}
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}

lib/node_modules/@stdlib/stats/array/nanstdevch/lib/main.js

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@@ -45,7 +45,7 @@ var GENERIC_DTYPE = 'generic';
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* @param {number} [correction=1.0] - degrees of freedom adjustment
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* @throws {TypeError} first argument must have a supported data type
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* @throws {TypeError} first argument must be an array-like object
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* @throws {TypeError} second argument must be an number
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* @throws {TypeError} second argument must be a number
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* @returns {number} standard deviation
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*
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* @example

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