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Merge branch 'stdlib-js:develop' into develop
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CONTRIBUTORS

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@@ -121,6 +121,7 @@ Muhammad Haris <[email protected]>
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Muhammad Taaha Tariq <[email protected]>
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Muhmmad Saad <[email protected]>
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NEEKUorAAYUSH <[email protected]>
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Nakul Krishnakumar <[email protected]>
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Naresh Jagadeesan <[email protected]>
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Naveen Kumar <[email protected]>
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Neeraj Pathak <[email protected]>

lib/node_modules/@stdlib/number/uint32/base/add/benchmark/c/benchmark.c

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@@ -101,7 +101,7 @@ static uint32_t add( const uint32_t x, const uint32_t y ) {
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static double benchmark( void ) {
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uint32_t x[ 100 ];
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double elapsed;
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double y;
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uint32_t y;
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double t;
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int i;
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lib/node_modules/@stdlib/number/uint32/base/add/benchmark/c/native/benchmark.c

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@@ -93,7 +93,7 @@ static double rand_double( void ) {
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static double benchmark( void ) {
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uint32_t x[ 100 ];
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double elapsed;
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double y;
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uint32_t y;
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double t;
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int i;
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lib/node_modules/@stdlib/number/uint32/base/add/lib/main.js

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* - `+`: summation is exact as IEEE-754 integer addition of two unsigned 32-bit integers fits inside 53-bit range.
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* - `>>> 0`: keep the low 32 bits.
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*
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* @param {integer} x - first input value
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* @param {integer} y - second input value
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* @returns {integer} sum
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* @param {uinteger} x - first input value
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* @param {uinteger} y - second input value
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* @returns {uinteger} sum
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*
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* @example
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* var v = add( 1>>>0, 5>>>0 );

lib/node_modules/@stdlib/number/uint32/base/add/lib/native.js

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* Computes the sum of two unsigned 32-bit integers `x` and `y`.
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*
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* @private
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* @param {integer} x - first input value
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* @param {integer} y - second input value
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* @returns {integer} sum
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* @param {uinteger} x - first input value
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* @param {uinteger} y - second input value
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* @returns {uinteger} sum
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*
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* @example
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* var v = add( 1>>>0, 5>>>0 );

lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/README.md

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#### stdlib_base_dists_gumbel_quantile( p, mu, beta )
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Evaluates the [quantile-function][quantile-function] of a [gumbel-distribution][gumbel-distribution] with parameter probability `p`, location parameter `mu` and scale parameter `beta`.
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Evaluates the [quantile-function][quantile-function] of a [gumbel-distribution][gumbel-distribution] with parameter probability `p`, location parameter `mu`, and scale parameter `beta`.
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```c
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double y = stdlib_base_dists_gumbel_quantile( 0.8, 0.0, 1.0 );
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<!-- /.c -->
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
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<section class="related">
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</section>
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<!-- /.related -->
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="links">

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