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fix: update file with requested changes
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‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median.h‎

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This file was deleted.

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/README.md‎

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@license Apache-2.0
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Copyright (c) 2014 The Stdlib Authors.
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Copyright (c) 2018 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
@@ -184,7 +184,6 @@ The function accepts the following arguments:
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- **a**: `[in] double` shape parameter.
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- **b**: `[in] double` shape parameter.
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```c
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double stdlib_base_dists_kumaraswamy_median( const double a, const double b );
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@@ -214,10 +213,6 @@ double stdlib_base_dists_kumaraswamy_median( const double a, const double b );
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#include <stdlib.h>
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#include <stdio.h>
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double stdlib_base_dists_kumaraswamy_median( const double a, const double b ) {
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return pow( 1.0 - pow( 0.5, 1.0 / b ), 1.0 / a );
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}
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static double random_uniform( const double min, const double max ) {
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double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
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return min + ( v * (max - min) );

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/benchmark/c/benchmark.c‎

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@@ -100,8 +100,6 @@ static double benchmark( void ) {
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int i;
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for ( i = 0; i < 100; i++ ) {
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// Generate random parameters for Kumaraswamy distribution
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// Ensure parameters are positive and within reasonable ranges
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a[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
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b[ i ] = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
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}
@@ -140,4 +138,4 @@ int main( void ) {
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printf( "ok %d benchmark finished\n", i+1 );
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}
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print_summary( REPEATS, REPEATS );
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}
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}

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/lib/native.js‎

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@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
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/**
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* Returns the median of a Kumaraswamy distribution.
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*
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* @private
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* @param {number} a - shape parameter
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* @param {number} b - shape parameter
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* @returns {number} median

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/manifest.json‎

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@@ -1,79 +1,79 @@
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{
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"options": {
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"options": {
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"task": "build",
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"wasm": false
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},
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"fields": [
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{
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"field": "src",
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"resolve": true,
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"relative": true
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},
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{
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"field": "include",
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"resolve": true,
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"relative": true
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},
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{
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"field": "libraries",
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"resolve": false,
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"relative": false
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},
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{
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"field": "libpath",
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"resolve": true,
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"relative": false
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}
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],
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"confs": [
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{
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"task": "build",
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"wasm": false
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/napi/binary",
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/constants/float64/eps"
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]
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},
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{
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"task": "benchmark",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/constants/float64/eps"
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]
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},
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"fields": [
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{
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"field": "src",
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"resolve": true,
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"relative": true
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},
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{
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"field": "include",
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"resolve": true,
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"relative": true
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},
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{
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"field": "libraries",
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"resolve": false,
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"relative": false
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},
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{
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"field": "libpath",
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"resolve": true,
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"relative": false
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}
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],
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"confs": [
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{
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"task": "build",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/napi/binary",
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"@stdlib/math/base/assert/is-nan"
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]
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},
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{
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"task": "benchmark",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/constants/float64/eps"
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]
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},
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{
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"task": "examples",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/constants/float64/eps"
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]
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}
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]
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}
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{
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"task": "examples",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/constants/float64/eps"
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]
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}
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]
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}

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/package.json‎

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{
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"name": "@stdlib/stats/base/dists/kumaraswamy/median",
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"version": "0.0.1",
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"description": "Kumaraswamy distribution median.",
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"name": "@stdlib/stats/base/dists/kumaraswamy",
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"version": "0.0.0",
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"description": "Kumaraswamy's double bounded distribution.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",
@@ -13,24 +13,15 @@
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"url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
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}
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],
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"main": "./lib/main.js",
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"gypfile": true,
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"main": "./lib",
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"directories": {
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"benchmark": "./benchmark",
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"doc": "./docs",
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"example": "./examples",
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"include": "./include",
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"lib": "./lib",
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"src": "./src",
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"test": "./test"
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},
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"types": "./docs/types/index.d.ts",
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"scripts": {
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"build": "gcc -I./include -o lib/main src/main.c",
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"test": "node test/test.js",
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"benchmark": "node benchmark/benchmark.js",
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"lint": "eslint ."
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},
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"types": "./docs/types",
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"scripts": {},
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"homepage": "https://github.com/stdlib-js/stdlib",
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"repository": {
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"type": "git",
@@ -39,15 +30,11 @@
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"bugs": {
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"url": "https://github.com/stdlib-js/stdlib/issues"
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},
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"dependencies": {
43-
"mathjs": "^11.5.0"
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},
45-
"devDependencies": {
46-
"eslint": "^8.0.0"
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},
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"dependencies": {},
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"devDependencies": {},
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"engines": {
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"node": ">=12.0.0",
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"npm": ">=6.0.0"
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"node": ">=0.10.0",
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"npm": ">2.7.0"
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},
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"os": [
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"aix",
@@ -63,13 +50,19 @@
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"keywords": [
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"stdlib",
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"stdmath",
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"standard",
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"library",
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"std",
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"lib",
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"statistics",
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"stats",
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"probability",
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"prob",
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"distribution",
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"dist",
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"continuous",
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"kumaraswamy",
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"median",
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"univariate"
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"bounded",
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"univariate",
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"continuous"
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]
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}

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/src/main.c‎

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#include "stdlib/math/base/assert/is_nan.h"
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#include <math.h>
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/**
2524
* Returns the median of a Kumaraswamy distribution.
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*

‎lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/median/test/fixtures/julia/runner.jl‎

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# See the License for the specific language governing permissions and
1717
# limitations under the License.
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19-
import Distributions: var, Geometric
19+
import Distributions: median, Kumaraswamy
2020
import JSON
2121

2222
"""
23-
gen( p, name )
23+
gen( a, b, name )
2424
2525
Generate fixture data and write to file.
2626
2727
# Arguments
2828
29-
* `x`: input value
30-
* `p`: success probability
29+
* `a`: shape parameter a (must be positive)
30+
* `b`: shape parameter b (must be positive)
3131
* `name::AbstractString`: output filename
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3333
# Examples
3434
3535
``` julia
36-
julia> p = rand( 1000 );
37-
julia> gen( p, \"data.json\" );
36+
julia> a = rand( 1000 );
37+
julia> b = rand( 1000 );
38+
julia> gen( a, b, \"data.json\" );
3839
```
3940
"""
40-
function gen( p, name )
41-
z = Array{Float64}( undef, length(p) );
42-
for i in eachindex(p)
43-
z[ i ] = var( Geometric( p[ i ] ) );
41+
function gen( a, b, name )
42+
z = Array{Float64}( undef, length(a) );
43+
for i in eachindex(a)
44+
z[ i ] = median( Kumaraswamy( a[ i ], b[ i ] ) );
4445
end
4546

4647
# Store data to be written to file as a collection:
4748
data = Dict([
48-
("p", p),
49+
("a", a),
50+
("b", b),
4951
("expected", z)
5052
]);
5153

@@ -66,6 +68,6 @@ file = @__FILE__;
6668
dir = dirname( file );
6769

6870
# Generate fixtures:
69-
p = rand( 1000 );
70-
gen( p, "data.json" );
71-
71+
a = rand( 1000 );
72+
b = rand( 1000 );
73+
gen( a, b, "data.json" );

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