Automatic build\nPublished by build of: SciML/SciMLTutorials.jl@0d1fcb3

JuliaLangBuildkite · JuliaLangBuildkite · commit 3eacd7379cc0 · 2022-02-09T03:53:25.000Z
diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 # SciMLTutorials.jl: Tutorials for Scientific Machine Learning and Differential Equations
 
-[![Build Status](https://github.com/SciML/SciMLTutorials.jl/workflows/CI/badge.svg)](https://github.com/SciML/SciMLTutorials.jl/actions?query=workflow%3ACI)
+[![Build status](https://badge.buildkite.com/8a39c2e1b44511eb84bdcd9019663cad757ae2479abd340508.svg)](https://buildkite.com/julialang/scimltutorials-dot-jl)
 
 [![Join the chat at https://gitter.im/JuliaDiffEq/Lobby](https://badges.gitter.im/JuliaDiffEq/Lobby.svg)](https://gitter.im/JuliaDiffEq/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
 
@@ -30,44 +30,45 @@ SciMLTutorials.open_notebooks()
 ## Table of Contents
 
 - Introduction
-  - [Introduction to DifferentialEquations.jl through ODEs](http://tutorials.juliadiffeq.org/html/introduction/01-ode_introduction.html)
-  - [Detecting Stiffness and Choosing an ODE Algorithm](http://tutorials.juliadiffeq.org/html/introduction/02-choosing_algs.html)
-  - [Optimizing your DiffEq Code](http://tutorials.juliadiffeq.org/html/introduction/03-optimizing_diffeq_code.html)
-  - [Callbacks and Event Handling](http://tutorials.juliadiffeq.org/html/introduction/04-callbacks_and_events.html)
-  - [Formatting Plots](http://tutorials.juliadiffeq.org/html/introduction/05-formatting_plots.html)
+  - [Introduction to DifferentialEquations.jl through ODEs](http://tutorials.sciml.ai/html/introduction/01-ode_introduction.html)
+  - [Detecting Stiffness and Choosing an ODE Algorithm](http://tutorials.sciml.ai/html/introduction/02-choosing_algs.html)
+  - [Optimizing your DiffEq Code](http://tutorials.sciml.ai/html/introduction/03-optimizing_diffeq_code.html)
+  - [Callbacks and Event Handling](http://tutorials.sciml.ai/html/introduction/04-callbacks_and_events.html)
+  - [Formatting Plots](http://tutorials.sciml.ai/html/introduction/05-formatting_plots.html)
 - Exercise Sheets
-  - [DifferentialEquations.jl Workshop Exercises](http://tutorials.juliadiffeq.org/html/exercises/01-workshop_exercises.html)
-  - [DifferentialEquations.jl Workshop Exercise Solutions](http://tutorials.juliadiffeq.org/html/exercises/02-workshop_solutions.html)
+  - [DifferentialEquations.jl Workshop Exercises](http://tutorials.sciml.ai/html/exercises/01-workshop_exercises.html)
+  - [DifferentialEquations.jl Workshop Exercise Solutions](http://tutorials.sciml.ai/html/exercises/02-workshop_solutions.html)
 - Modeling Examples
-  - [Classical Physics Models](http://tutorials.juliadiffeq.org/html/models/01-classical_physics.html)
-  - [Conditional Dosing Example](http://tutorials.juliadiffeq.org/html/models/02-conditional_dosing.html)
-  - [DiffEqBiological Tutorial I: Introduction](http://tutorials.juliadiffeq.org/html/models/03-diffeqbio_I_introduction.html)
-  - [DiffEqBiological Tutorial II: Network Properties API](http://tutorials.juliadiffeq.org/html/models/04-diffeqbio_II_networkproperties.html)
-  - [DiffEqBiological Tutorial III: Steady-States and Bifurcations](http://tutorials.juliadiffeq.org/html/models/04b-diffeqbio_III_steadystates.html)
-  - [Kepler Problem Orbit](http://tutorials.juliadiffeq.org/html/models/05-kepler_problem.html)
-  - [Spiking Neural Systems](http://tutorials.juliadiffeq.org/html/models/08-spiking_neural_systems.html)
+  - [Classical Physics Models](http://tutorials.sciml.ai/html/models/01-classical_physics.html)
+  - [Conditional Dosing Example](http://tutorials.sciml.ai/html/models/02-conditional_dosing.html)
+  - [DiffEqBiological Tutorial I: Introduction](http://tutorials.sciml.ai/html/models/03-diffeqbio_I_introduction.html)
+  - [DiffEqBiological Tutorial II: Network Properties API](http://tutorials.sciml.ai/html/models/04-diffeqbio_II_networkproperties.html)
+  - [DiffEqBiological Tutorial III: Steady-States and Bifurcations](http://tutorials.sciml.ai/html/models/04b-diffeqbio_III_steadystates.html)
+  - [Tutorial on using spatial SSAs in DiffEqJump](http://tutorials.sciml.ai/html/jumps/spatial.html)
+  - [Kepler Problem Orbit](http://tutorials.sciml.ai/html/models/05-kepler_problem.html)
+  - [Spiking Neural Systems](http://tutorials.sciml.ai/html/models/08-spiking_neural_systems.html)
 - Advanced ODE Features
-  - [ModelingToolkit.jl, An IR and Compiler for Scientific Models](http://tutorials.juliadiffeq.org/html/ode_extras/01-ModelingToolkit.html)
-  - [Feagin's Order 10, 12, and 14 Methods](http://tutorials.juliadiffeq.org/html/ode_extras/02-feagin.html)
-  - [Finding Maxima and Minima of DiffEq Solutions](http://tutorials.juliadiffeq.org/html/ode_extras/03-ode_minmax.html)
+  - [Feagin's Order 10, 12, and 14 Methods](http://tutorials.sciml.ai/html/ode_extras/01-feagin.html)
+  - [Finding Maxima and Minima of DiffEq Solutions](http://tutorials.sciml.ai/html/ode_extras/02-ode_minmax.html)
 - Model Inference
-  - [Bayesian Inference of Pendulum Parameters](http://tutorials.juliadiffeq.org/html/model_inference/01-pendulum_bayesian_inference.html)
-  - [Monte Carlo Parameter Estimation from Data](http://tutorials.juliadiffeq.org/html/model_inference/02-monte_carlo_parameter_estim.html)
+  - [Bayesian Inference of Pendulum Parameters](http://tutorials.sciml.ai/html/model_inference/01-pendulum_bayesian_inference.html)
+  - [Monte Carlo Parameter Estimation from Data](http://tutorials.sciml.ai/html/model_inference/02-monte_carlo_parameter_estim.html)
 - Type Handling
-  - [Solving Equations with Julia-Defined Types](http://tutorials.juliadiffeq.org/html/type_handling/01-number_types.html)
-  - [Numbers with Uncertainties](http://tutorials.juliadiffeq.org/html/type_handling/02-uncertainties.html)
-  - [Unit Check Arithmetic via Unitful.jl](http://tutorials.juliadiffeq.org/html/type_handling/03-unitful.html)
+  - [Solving Equations with Julia-Defined Types](http://tutorials.sciml.ai/html/type_handling/01-number_types.html)
+  - [Numbers with Uncertainties](http://tutorials.sciml.ai/html/type_handling/02-uncertainties.html)
+  - [Unit Check Arithmetic via Unitful.jl](http://tutorials.sciml.ai/html/type_handling/03-unitful.html)
 - DiffEqUncertainty
-  - [An Intro to Expectations via DiffEqUncertainty.jl](http://tutorials.juliadiffeq.org/html/DiffEqUncertainty/01-expectation_introduction.html)
-  - [Optimization Under Uncertainty with DiffEqUncertainty.jl](http://tutorials.juliadiffeq.org/html/DiffEqUncertainty/02-AD_and_optimization.html)
-  - [GPU-Accelerated Data-Driven Bayesian Uncertainty Quantification with Koopman Operators](http://tutorials.juliadiffeq.org/html/DiffEqUncertainty/03-GPU_Bayesian_Koopman.html)
+  - [An Intro to Expectations via DiffEqUncertainty.jl](http://tutorials.sciml.ai/html/DiffEqUncertainty/01-expectation_introduction.html)
+  - [Optimization Under Uncertainty with DiffEqUncertainty.jl](http://tutorials.sciml.ai/html/DiffEqUncertainty/02-AD_and_optimization.html)
+  - [GPU-Accelerated Data-Driven Bayesian Uncertainty Quantification with Koopman Operators](http://tutorials.sciml.ai/html/DiffEqUncertainty/03-GPU_Bayesian_Koopman.html)
 - Advanced
-  - [A 2D Cardiac Electrophysiology Model (CUDA-accelerated PDE solver)](http://tutorials.juliadiffeq.org/html/advanced/01-beeler_reuter.html)
-  - [Solving Stiff Equations](http://tutorials.juliadiffeq.org/html/advanced/02-advanced_ODE_solving.html)
-  - [Kolmogorov Backward Equations](http://tutorials.juliadiffeq.org/html/advanced/03-kolmogorov_equations.html)
+  - [A 2D Cardiac Electrophysiology Model (CUDA-accelerated PDE solver)](http://tutorials.sciml.ai/html/advanced/01-beeler_reuter.html)
+  - [Solving Stiff Equations](http://tutorials.sciml.ai/html/advanced/02-advanced_ODE_solving.html)
+  - [Solving the heat equation with diffusion-implicit time-stepping](http://tutorials.sciml.ai/html/advanced/04-diffusion_implicit_heat_equation.html)
+  - [Kolmogorov Backward Equations](http://tutorials.sciml.ai/html/advanced/03-kolmogorov_equations.html)
 - Perturbation Theory
-  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Algebraic Equations](http://tutorials.juliadiffeq.org/html/perturbation/01-perturbation_algebraic.html)
-  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Differential Equations](http://tutorials.juliadiffeq.org/html/perturbation/02-perturbation_differential.html)
+  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Algebraic Equations](http://tutorials.sciml.ai/html/perturbation/01-perturbation_algebraic.html)
+  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Differential Equations](http://tutorials.sciml.ai/html/perturbation/02-perturbation_differential.html)
 
 
 ## Contributing
diff --git a/html/Testing/test.html b/html/Testing/test.html
@@ -674,8 +674,8 @@ <h5>Chris Rackauckas</h5>
 </div>
 <div class="markdown"><p>Computer Information:</p>
 </div>
-<div class="markdown"><pre><code>Julia Version 1.6.3
-Commit ae8452a9e0 &#40;2021-09-23 17:34 UTC&#41;
+<div class="markdown"><pre><code>Julia Version 1.6.5
+Commit 9058264a69 &#40;2021-12-19 12:30 UTC&#41;
 Platform Info:
   OS: Linux &#40;x86_64-pc-linux-gnu&#41;
   CPU: AMD EPYC 7502 32-Core Processor
@@ -690,10 +690,10 @@ <h5>Chris Rackauckas</h5>
 </div>
 <div class="markdown"><p>Package Information:</p>
 </div>
-<div class="markdown"><pre><code>      Status &#96;/cache/build/amdci4-2/julialang/scimltutorials-dot-jl/tutorials/Testing/Project.toml&#96;
+<div class="markdown"><pre><code>      Status &#96;/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Project.toml&#96;
   &#91;30cb0354&#93; SciMLTutorials v0.9.0</code></pre>
 <p>And the full manifest:</p>
-<pre><code>      Status &#96;/cache/build/amdci4-2/julialang/scimltutorials-dot-jl/tutorials/Testing/Manifest.toml&#96;
+<pre><code>      Status &#96;/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Manifest.toml&#96;
   &#91;79e6a3ab&#93; Adapt v3.3.0
   &#91;35d6a980&#93; ColorSchemes v3.12.1
   &#91;3da002f7&#93; ColorTypes v0.11.0
@@ -865,7 +865,7 @@ <h5>Chris Rackauckas</h5>
         <div class="footer">
           <p>
             Published from <a href="test.jmd">test.jmd</a>
-            using <a href="http://github.com/JunoLab/Weave.jl">Weave.jl</a> v0.10.10 on 2021-11-13.
+            using <a href="http://github.com/JunoLab/Weave.jl">Weave.jl</a> v0.10.10 on 2022-02-09.
           </p>
         </div>
       </div>
diff --git a/markdown/Testing/test.md b/markdown/Testing/test.md
@@ -7,6 +7,7 @@ title: "Test"
 This is a test of the builder system.  It often gets bumped manually.
 
 
+
 ## Appendix
 
 These tutorials are a part of the SciMLTutorials.jl repository, found at: [https://github.com/SciML/SciMLTutorials.jl](https://github.com/SciML/SciMLTutorials.jl). For more information on high-performance scientific machine learning, check out the SciML Open Source Software Organization [https://sciml.ai](https://sciml.ai).
@@ -21,8 +22,8 @@ SciMLTutorials.weave_file("Testing","test.jmd")
 Computer Information:
 
 ```
-Julia Version 1.6.3
-Commit ae8452a9e0 (2021-09-23 17:34 UTC)
+Julia Version 1.6.5
+Commit 9058264a69 (2021-12-19 12:30 UTC)
 Platform Info:
   OS: Linux (x86_64-pc-linux-gnu)
   CPU: AMD EPYC 7502 32-Core Processor
@@ -39,14 +40,14 @@ Environment:
 Package Information:
 
 ```
-      Status `/cache/build/amdci4-2/julialang/scimltutorials-dot-jl/tutorials/Testing/Project.toml`
+      Status `/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Project.toml`
   [30cb0354] SciMLTutorials v0.9.0
 ```
 
 And the full manifest:
 
 ```
-      Status `/cache/build/amdci4-2/julialang/scimltutorials-dot-jl/tutorials/Testing/Manifest.toml`
+      Status `/cache/build/default-amdci4-1/julialang/scimltutorials-dot-jl/tutorials/Testing/Manifest.toml`
   [79e6a3ab] Adapt v3.3.0
   [35d6a980] ColorSchemes v3.12.1
   [3da002f7] ColorTypes v0.11.0
