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Wall_Fires.yml
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# MaCFP workflow
name: Wall_Fires
# Controls when the workflow will run
on:
# # Triggers the workflow on push or pull request events but only for the master branch
# push:
# branches: [ master ]
# paths:
# - .github/workflows/Wall_Fires.yml
# - Utilities/macfp.py
# - Wall_Fires/**
# pull_request:
# branches: [ master ]
# paths:
# - .github/workflows/Wall_Fires.yml
# - Utilities/macfp.py
# - Wall_Fires/**
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains a single job called "build"
build:
# The type of runner that the job will run on
runs-on: ubuntu-latest
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v4
# Setup python
- uses: actions/setup-python@v4
with:
python-version: '3.9'
cache: 'pip' # caching pip dependencies
- run: pip install -r .github/requirements.txt
# When submitting computational results, add your script to the list below (follow the example)
# # Step 1: generate the plots
# - name: NIST Preliminary Results
# run: |
# echo $GITHUB_WORKSPACE
# cd $GITHUB_WORKSPACE/Liquid_Pool_Fires/NIST_Pool_Fires/Computational_Results/2023/NIST
# python NIST_Pool_Fires_plot_cmp.py
# # Step 2: push the plots to the releases page
# - name: Push NIST Results to release
# if: ( github.event_name == 'push' || github.event_name == 'workflow_dispatch' ) && github.repository_owner == 'MaCFP'
# run: |
# cd $GITHUB_WORKSPACE/Liquid_Pool_Fires/NIST_Pool_Fires/Computational_Results/2023/NIST/Preliminary_Results
# zip Plots.zip -r Plots
# mv Plots.zip NIST_Pool_Fires_NIST_Plots.zip
# gh release upload SCRIPT_FIGURES NIST_Pool_Fires_NIST_Plots.zip --clobber
# env:
# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# ADD YOUR INSTITUTION BELOW, COPY STEPS 1 AND 2, CHANGE INSTITUTE NAME (AFTER 2023 AND WITHIN ZIP FILENAME)