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<!DOCTYPE html>
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<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>- · The SciML Tutorials</title><script data-outdated-warner src="../../assets/warner.js"></script><link rel="canonical" href="https://tutorials.sciml.ai/stable/Testing/test/"/><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.045/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL="../.."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../../assets/documenter.js"></script><script src="../../siteinfo.js"></script><script src="../../../versions.js"></script><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../../assets/themes/documenter-dark.css" data-theme-name="documenter-dark" data-theme-primary-dark/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../../assets/themeswap.js"></script><link href="../../assets/favicon.ico" rel="icon" type="image/x-icon"/></head><body><div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit"><a href="../../">The SciML Tutorials</a></span></div><form class="docs-search" action="../../search/"><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../../">SciMLTutorials.jl: Tutorials for Scientific Machine Learning (SciML), Equation Solvers, and AI for Science</a></li><li><span class="tocitem">DiffEqUncertainty</span><ul><li><a class="tocitem" href="../../DiffEqUncertainty/01-expectation_introduction/">An Intro to Expectations via DiffEqUncertainty.jl</a></li><li><a class="tocitem" href="../../DiffEqUncertainty/02-AD_and_optimization/">Optimization Under Uncertainty with DiffEqUncertainty.jl</a></li></ul></li><li><span class="tocitem">advanced</span><ul><li><a class="tocitem" href="../../advanced/01-beeler_reuter/">An Implicit/Explicit CUDA-Accelerated Solver for the 2D Beeler-Reuter Model</a></li><li><a class="tocitem" href="../../advanced/02-advanced_ODE_solving/">Solving Stiff Equations</a></li><li><a class="tocitem" href="../../advanced/03-kolmogorov_equations/">Kolmogorov Backward Equations</a></li><li><a class="tocitem" href="../../advanced/04-diffusion_implicit_heat_equation/">Solving the heat equation with diffusion-implicit time-stepping</a></li></ul></li><li><span class="tocitem">exercises</span><ul><li><a class="tocitem" href="../../exercises/01-workshop_exercises/">SciML Workshop Exercises</a></li><li><a class="tocitem" href="../../exercises/02-workshop_solutions/">SciML Workshop Exercise Solutions</a></li></ul></li><li><span class="tocitem">introduction</span><ul><li><a class="tocitem" href="../../introduction/01-ode_introduction/">An Intro to DifferentialEquations.jl</a></li><li><a class="tocitem" href="../../introduction/02-choosing_algs/">Choosing an ODE Algorithm</a></li><li><a class="tocitem" href="../../introduction/03-optimizing_diffeq_code/">Optimizing DiffEq Code</a></li><li><a class="tocitem" href="../../introduction/04-callbacks_and_events/">Callbacks and Events</a></li><li><a class="tocitem" href="../../introduction/05-formatting_plots/">Formatting Plots</a></li></ul></li><li><span class="tocitem">jumps</span><ul><li><a class="tocitem" href="../../jumps/spatial/">Ilin</a></li></ul></li><li><span class="tocitem">model_inference</span><ul><li><a class="tocitem" href="../../model_inference/01-pendulum_bayesian_inference/">Bayesian Inference on a Pendulum using DiffEqBayes.jl</a></li><li><a class="tocitem" href="../../model_inference/02-monte_carlo_parameter_estim/">Monte Carlo Parameter Estimation From Data</a></li></ul></li><li><span class="tocitem">models</span><ul><li><a class="tocitem" href="../../models/01-classical_physics/">Classical Physics Models</a></li><li><a class="tocitem" href="../../models/02-conditional_dosing/">Conditional Dosing Pharmacometric Example</a></li><li><a class="tocitem" href="../../models/03-diffeqbio_I_introduction/">DiffEqBiological Tutorial I: Introduction</a></li><li><a class="tocitem" href="../../models/04-diffeqbio_II_networkproperties/">DiffEqBiological Tutorial II: Network Properties API</a></li><li><a class="tocitem" href="../../models/04b-diffeqbio_III_steadystates/">DiffEqBiological Tutorial III: Steady-States and Bifurcations</a></li><li><a class="tocitem" href="../../models/05-kepler_problem/">Kepler Problem</a></li><li><a class="tocitem" href="../../models/06-pendulum_bayesian_inference/">Bayesian Inference on a Pendulum</a></li><li><a class="tocitem" href="../../models/07-outer_solar_system/">The Outer Solar System</a></li><li><a class="tocitem" href="../../models/08-spiking_neural_systems/">Spiking Neural Systems</a></li></ul></li><li><span class="tocitem">ode_extras</span><ul><li><a class="tocitem" href="../../ode_extras/01-ModelingToolkit/">ModelingToolkit.jl, An IR and Compiler for Scientific Models</a></li><li><a class="tocitem" href="../../ode_extras/02-feagin/">Feagin&#39;s Order 10, 12, and 14 Methods</a></li><li><a class="tocitem" href="../../ode_extras/03-ode_minmax/">Finding Maxima and Minima of DiffEq Solutions</a></li></ul></li><li><span class="tocitem">perturbation</span><ul><li><a class="tocitem" href="../../perturbation/01-perturbation_algebraic/">Mixed Symbolic/Numerical Methods for Perturbation Theory - Algebraic Equations</a></li><li><a class="tocitem" href="../../perturbation/02-perturbation_differential/">Mixed Symbolic/Numerical Methods for Perturbation Theory - Differential Equations</a></li></ul></li><li><span class="tocitem">type_handling</span><ul><li><a class="tocitem" href="../../type_handling/02-uncertainties/">Numbers with Uncertainties</a></li><li><a class="tocitem" href="../../type_handling/03-unitful/">Unit Checked Arithmetic via Unitful.jl</a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>-</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>-</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com/SciML/SciMLTutorialsOutput/blob/main/docs/src/Testing/test.md" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><hr/><p>author: &quot;Chris Rackauckas&quot; title: &quot;Test&quot; –-</p><p>This is a test of the builder system. It often gets bumped manually.</p><h2 id="Appendix"><a class="docs-heading-anchor" href="#Appendix">Appendix</a><a id="Appendix-1"></a><a class="docs-heading-anchor-permalink" href="#Appendix" title="Permalink"></a></h2><p>These tutorials are a part of the SciMLTutorials.jl repository, found at: <a href="https://github.com/SciML/SciMLTutorials.jl">https://github.com/SciML/SciMLTutorials.jl</a>. For more information on high-performance scientific machine learning, check out the SciML Open Source Software Organization <a href="https://sciml.ai">https://sciml.ai</a>.</p><p>To locally run this tutorial, do the following commands:</p><pre><code class="nohighlight hljs">using SciMLTutorials
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SciMLTutorials.weave_file(&quot;Testing&quot;,&quot;test.jmd&quot;)</code></pre><p>Computer Information:</p><pre><code class="nohighlight hljs">Julia Version 1.6.5
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Commit 9058264a69 (2021-12-19 12:30 UTC)
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Platform Info:
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OS: Linux (x86_64-pc-linux-gnu)
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CPU: AMD EPYC 7502 32-Core Processor
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WORD_SIZE: 64
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LIBM: libopenlibm
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LLVM: libLLVM-11.0.1 (ORCJIT, znver2)
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Environment:
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JULIA_CPU_THREADS = 16
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BUILDKITE_PLUGIN_JULIA_CACHE_DIR = /cache/julia-buildkite-plugin
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JULIA_DEPOT_PATH = /cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-bc97-28aa57c6c6ea
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</code></pre><p>Package Information:</p><pre><code class="nohighlight hljs"> Status `/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Project.toml`
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[30cb0354] SciMLTutorials v0.9.0</code></pre><p>And the full manifest:</p><pre><code class="nohighlight hljs"> Status `/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Manifest.toml`
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