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Fire_Growth: comment plt.show #19

Fire_Growth: comment plt.show

Fire_Growth: comment plt.show #19

# MaCFP workflow
name: Experimental_Data
# Controls when the workflow will run
on:
# Triggers the workflow on push or pull request events but only for the $default-branch branch
push:
branches: [ master ]
pull_request:
branches: [ master ]
paths:
- .github/**
- Utilities/**
- Buoyant_Plumes/**
- Extinction/**
- Gaseous_Pool_Fires/**
- Liquid_Pool_Fires/**
- 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@v3
# Setup python
- uses: actions/setup-python@v4
with:
python-version: '3.9'
cache: 'pip' # caching pip dependencies
- run: pip install -r .github/requirements.txt
# Generate new plots
- name: Generate experimental data plots
run: |
echo $GITHUB_WORKSPACE
cd $GITHUB_WORKSPACE/Buoyant_Plumes/Sandia_Helium_Plume/Scripts && python Sandia_Helium_Plume_plot_exp.py
cd $GITHUB_WORKSPACE/Extinction/FM_Burner/Scripts && python FM_Burner_plot_exp.py
cd $GITHUB_WORKSPACE/Liquid_Pool_Fires/NIST_Pool_Fires/Scripts && python NIST_Pool_Fires_plot_exp.py
cd $GITHUB_WORKSPACE/Liquid_Pool_Fires/Waterloo_Methanol/Scripts && python Waterloo_Methanol_plot_exp.py