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CompatHelper: bump compat for Colors to 0.13, (keep existing compat) #24

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11 changes: 9 additions & 2 deletions .github/workflows/Example.yml
Original file line number Diff line number Diff line change
Expand Up @@ -41,14 +41,21 @@ jobs:
run: pip install jupyter nbconvert

- name: "Execute notebook"
env:
FILE: examples/jupyter-src/${{ matrix.file-name }}.ipynb
run: jupyter nbconvert --ExecutePreprocessor.kernel_name="julia-${{ matrix.julia-version }}" --to notebook --inplace --execute ${{ env.FILE }}

- name: "Fix SVGs" # on notebook (json) level: removes all cells, that have the tag "text/html" AND have "<?xml " within their content
run: julia -e 'using Pkg; Pkg.add("JSON"); using JSON; data = JSON.parsefile(joinpath("examples", "jupyter-src", "${{ matrix.file-name }}.ipynb"); use_mmap=false); function search_and_remove!(json, tag, content=""); if typeof(json) == Vector{Any}; for e in json; search_and_remove!(e, tag, content); end; elseif typeof(json) == Dict{String, Any}; for (t, c) in json; if contains(t, tag) && (content == "" || any([contains(line, content) for line in c])); pop!(json, t); else; search_and_remove!(c, tag, content); end; end; end; end; search_and_remove!(data, "text/html", "<?xml "); open(joinpath("examples", "jupyter-src", "tmp_${{ matrix.file-name }}.ipynb"),"w") do f; JSON.print(f, data, 1); end; mv(joinpath("examples", "jupyter-src", "tmp_${{ matrix.file-name }}.ipynb"), joinpath("examples", "jupyter-src", "${{ matrix.file-name }}.ipynb"); force=true);'

- name: "Export notebook to jl and md"
env:
FILE: examples/jupyter-src/${{ matrix.file-name }}.ipynb
run: |
jupyter nbconvert --ExecutePreprocessor.kernel_name="julia-${{ matrix.julia-version }}" --to notebook --inplace --execute ${{ env.FILE }}
jupyter nbconvert --to script ${{ env.FILE }}
jupyter nbconvert --to markdown ${{ env.FILE }}

- name: "Fix GIFs"
- name: "Fix GIFs" # on md level, requires .gif to be exportet prior during execution and follow naming convention of gifs: gif_1.gif, gif_2.gif, ...
run: |
echo "starting gif fixing"
mv examples/jupyter-src/gif_*.gif examples/jupyter-src/${{ matrix.file-name }}_files
Expand Down
2 changes: 1 addition & 1 deletion Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
JLD2Ext = ["JLD2"]

[compat]
Colors = "0.12"
Colors = "0.12, 0.13"
DifferentiableEigen = "0.2.0"
FMIImport = "1.0.6"
FMISensitivity = "0.2.0"
Expand Down
6 changes: 3 additions & 3 deletions docs/src/examples/overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -16,10 +16,10 @@ The examples show how to combine FMUs with machine learning ("NeuralFMU") and il
- [__Modelica Conference 2021: NeuralFMUs__](https://thummeto.github.io/FMIFlux.jl/dev/examples/modelica_conference_2021/): Showing basics on how to train a NeuralFMU (Contribution for the *Modelica Conference 2021*).

## Workshops
[__Pluto workshops__](https://thummeto.github.io/FMI.jl/dev/examples/workshops/): [Pluto](https://plutojl.org/) based notebooks, that can easily be executed on your own Pluto-Setup.
- [__Scientific Machine Learning using Functional Mock-up Units__](https://thummeto.github.io/FMI.jl/dev/examples/pluto-src/SciMLUsingFMUs/SciMLUsingFMUs.html): Workshop at JuliaCon 2024 (Eindhoven University, Netherlands)
[__Pluto workshops__](https://thummeto.github.io/FMIFlux.jl/dev/examples/workshops/): [Pluto](https://plutojl.org/) based notebooks, that can easily be executed on your own Pluto-Setup.
- [__Scientific Machine Learning using Functional Mock-up Units__](https://thummeto.github.io/FMIFlux.jl/dev/examples/pluto-src/SciMLUsingFMUs/SciMLUsingFMUs.html): Workshop at JuliaCon 2024 (Eindhoven University, Netherlands)

## Archived
- [__MDPI 2022: Physics-enhanced NeuralODEs in real-world applications__](https://thummeto.github.io/FMIFlux.jl/dev/examples/mdpi_2022/): An example for a NeuralODE in a real world modeling scenario (Contribution in *MDPI Electronics 2022*).
- [__Growing Horizon ME-NeuralFMU__](https://thummeto.github.io/FMIFlux.jl/dev/examples/growing_horizon_ME/): Growing horizon training technique for a ME-NeuralFMU.
- [__Hands-on: Hybrid Modeling using FMI__](https://thummeto.github.io/FMI.jl/dev/examples/pluto-src/HybridModelingUsingFMI/HybridModelingUsingFMI.html): Workshop at MODPROD 2024 (Linköping University, Sweden)
- [__Hands-on: Hybrid Modeling using FMI__](https://thummeto.github.io/FMIFlux.jl/dev/examples/pluto-src/HybridModelingUsingFMI/HybridModelingUsingFMI.html): Workshop at MODPROD 2024 (Linköping University, Sweden)