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Refactor random number generation in JS benchmarks
--- type: pre_push_report description: Results of running various checks prior to pushing changes. report: - task: run_javascript_examples status: na - task: run_c_examples status: na - task: run_cpp_examples status: na - task: run_javascript_readme_examples status: na - task: run_c_benchmarks status: na - task: run_cpp_benchmarks status: na - task: run_fortran_benchmarks status: na - task: run_javascript_benchmarks status: na - task: run_julia_benchmarks status: na - task: run_python_benchmarks status: na - task: run_r_benchmarks status: na - task: run_javascript_tests status: na ---
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‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/README.md‎

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@@ -158,7 +158,7 @@ for ( i = 0; i < lambda.length; i++ ) {
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#### stdlib_base_dists_planck_logcdf( x, lambda )
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Evaluates the logarithm of cumulative distribution function (logcdf) for an planck distribution.
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Evaluates the logarithm of cumulative distribution function (logcdf) for an planck distribution with shape parameter `lambda`.
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```c
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double out = stdlib_base_dists_planck_logcdf( 2, 0.5,);

‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/benchmark/benchmark.js‎

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@@ -63,12 +63,17 @@ bench( pkg, function benchmark( b ) {
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bench( pkg+':factory', function benchmark( b ) {
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var mylogcdf;
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var len;
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var x;
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var y;
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var i;
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x = discreteUniform( 100, 0, 40 );
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len = 100;
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mylogcdf = logcdf.factory( 0.3 );
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x = new Float64Array( len );
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for ( i = 0; i < len; i++ ) {
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x[i] = discreteUniform( 0, 40 );
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}
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {

‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/benchmark/benchmark.native.js‎

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@@ -52,7 +52,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
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x = new Float64Array( len );
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for ( i = 0; i < len; i++ ) {
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x[i] = discreteUniform(0, 40);
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lambda[i] = uniform(1.0, 11.0);
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lambda[i] = uniform(1.0, 10.0);
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}
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b.tic();

‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/include/stdlib/stats/base/dists/planck/logcdf.h‎

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#endif
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/**
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* Evaluates the logarithmic cumulative distribution function for an planck distribution with shape parameter 'lambda' at value 'x'.
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*Evaluates the logarithm of cumulative distribution function (logcdf) for an planck distribution with shape parameter `lambda`.
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*/
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double stdlib_base_dists_planck_logcdf( const double x, const double lambda );
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‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/native.js‎

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@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
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// MAIN //
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/**
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* Evaluates the logarithm of the cumulative distribution function (logCDF) for a Planck (discrete exponential) distribution with shape parameter `lambda` at a value `x`.
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*Evaluates the logarithm of cumulative distribution function (logcdf) for an planck distribution with shape parameter `lambda`.
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*
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* @private
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* @param {number} x - input value

‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/manifest.json‎

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"options": {
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"options": {
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"task": "build",
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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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"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/math/base/special/floor",
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"@stdlib/math/base/special/expm1",
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"@stdlib/math/base/special/ln",
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"@stdlib/constants/float64/ninf",
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"@stdlib/constants/float64/pinf"
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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/main.c"
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"@stdlib/math/base/special/expm1",
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"@stdlib/math/base/special/ln",
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"@stdlib/constants/float64/ninf",
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"@stdlib/constants/float64/pinf"
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]
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},
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"resolve": true,
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"@stdlib/math/base/special/expm1",
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"@stdlib/math/base/special/ln",
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"@stdlib/constants/float64/ninf",
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"@stdlib/constants/float64/pi",
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"@stdlib/constants/float64/pinf"
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]
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},
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{
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"task": "benchmark",
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/math/base/special/floor",
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"@stdlib/math/base/special/expm1",
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"@stdlib/math/base/special/ln",
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"@stdlib/constants/float64/ninf",
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"@stdlib/constants/float64/pi",
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"@stdlib/constants/float64/pinf"
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]
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},
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"wasm": false,
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"src": [
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"./src/main.c"
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"./include"
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"dependencies": [
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/math/base/special/ln",
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"@stdlib/constants/float64/ninf",
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"@stdlib/constants/float64/pi",
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"@stdlib/constants/float64/pinf"
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]
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"task": "examples",
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]
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}

‎lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/src/main.c‎

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#include "stdlib/constants/float64/pinf.h"
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/**
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* Evaluates the logarithm of the cumulative distribution function (logCDF) for a Planck distribution with shape parameter `lambda` at a value `x`.
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* Evaluates the logarithm of the cumulative distribution function (logCDF) for a Planck distribution with shape parameter `lambda` .
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*
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* @param x input value
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* @param lambda shape parameter

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