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‎.gitattributes

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*.fig binary
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*.mat binary
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*.mdl binary diff merge=mlAutoMerge
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*.mdlp binary
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*.mexa64 binary
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*.mexw64 binary
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*.mexmaci64 binary
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*.mlapp binary linguist-language=MATLAB
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*.mldatx binary
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*.mlproj binary
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*.mlx binary merge=mlAutoMerge linguist-language=MATLAB
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*.p binary
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*.sfx binary
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*.sldd binary
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*.slreqx binary merge=mlAutoMerge
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*.slmx binary merge=mlAutoMerge
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*.sltx binary
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*.slxc binary
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*.slx binary merge=mlAutoMerge linguist-language=Simulink
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*.slxp binary
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## Other common binary file types
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*.docx binary
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*.exe binary
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*.jpg binary
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*.pdf binary
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*.png binary
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*.xlsx binary
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# Ignore HTML
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*.html linguist-detectable=false

‎.github/workflows/ci.yml

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name: MATLAB Build
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# Controls when the action will run.
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on:
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push:
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branches: [ release ]
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pull_request:
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branches: [ release ]
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workflow_dispatch:
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# Add permission to write GitHub pages
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permissions:
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contents: write
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pages: write
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id-token: write
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jobs:
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test:
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strategy:
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fail-fast: false
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matrix:
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MATLABVersion: [R2024a,R2024b]
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runs-on: ubuntu-latest
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steps:
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# Checks-out your repository
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- uses: actions/checkout@v4
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# Sets up a display server
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- name: Start display server
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if: ${{ always() }}
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run: |
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sudo apt-get install xvfb
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Xvfb :99 &
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echo "DISPLAY=:99" >> $GITHUB_ENV
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# Sets up MATLAB
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- name: Setup MATLAB
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uses: matlab-actions/setup-matlab@v2
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with:
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release: ${{ matrix.MATLABVersion }}
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products: # Simulink Statistics_and_Machine_Learning_Toolbox
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# List required products above in the format shown (and uncomment them)
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# List of product strings:
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# Simulink
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# Statistics_and_Machine_Learning_Toolbox
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# Simulink_Coder
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# Econometrics_Toolbox
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# Deep_Learning_Toolbox
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# Run all the tests
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- name: Run SmokeTests
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uses: matlab-actions/run-command@v2
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with:
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command: openProject(pwd); RunAllTests;
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# Upload the test results as artifact
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- name: Upload TestResults
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: TestResults_${{ matrix.MATLABVersion }}
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path: ./public/*
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overwrite: true
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badge:
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if: ${{ always() }}
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needs: [test]
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strategy:
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fail-fast: false
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runs-on: ubuntu-latest
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steps:
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# Checks-out your repository
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- uses: actions/checkout@v4
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# Sets up R2023b
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- name: Setup MATLAB
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uses: matlab-actions/setup-matlab@v2
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with:
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release: R2024b
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# Download the test results from artifact
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- name: Download All TestResults
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uses: actions/download-artifact@v4
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with:
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path: public
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pattern: TestResults_*
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merge-multiple: true
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# Create the test results badge
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- name: Run PostSmokeTest
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uses: matlab-actions/run-command@v2
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with:
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command: openProject(pwd); PostSmokeTest;
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# Deploy reports to GitHub pages
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- name: Setup Pages
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uses: actions/configure-pages@v5
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- name: Upload pages artifact
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uses: actions/upload-pages-artifact@v3
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with:
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path: public
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4
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# Commit the JSON for the MATLAB releases badge
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- name: Commit changed files
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continue-on-error: true
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run: |
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git config user.name "${{ github.workflow }} by ${{ github.actor }}"
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git config user.email "<>"
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git pull
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git add Images/TestedWith.json
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git commit Images/TestedWith.json -m "Update CI badges ${{ github.ref_name }}"
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git fetch
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git push

‎.gitignore

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# List of untracked files to ignore
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# Autosave files
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*.asv
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*.m~
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*.autosave
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*.slx.r*
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*.mdl.r*
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# MATLAB Drive
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*.MATLABDriveTag
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# Compiled files
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*.mex*
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*.p
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# Compressed files
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*.zip
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# Packaged app and toolbox files
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*.mlappinstall
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*.mltbx
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# Deployable archives
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*.ctf
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# Generated helpsearch folders
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helpsearch*/
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# Defined Simulink cache folder
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Utilities/SimulinkCache/*
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# Standard code generation folders
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slprj/
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sccprj/
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codegen/
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# Code generation file
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*.eep
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*.elf
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*.hex
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*.bin
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# Cache files
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*.slxc
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# Project settings
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Utilities/ProjectSettings.mat
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# GitLab page folder
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public/

‎.gitlab-ci.yml

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stages:
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# Set up two testing paths
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- test
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- deploy
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- release
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# Published matlab-batch image, link provided by Jos M.
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# MATLAB_BATCH_TOKEN is established as a GitLab CI/CD variable
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.matlab_batch_defaults:
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image:
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name: 677276097160.dkr.ecr.us-east-1.amazonaws.com/external-git/matlab-gitrunner-image:R2024b-latest
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entrypoint: [""]
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smoke-test:
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# Smoke tests should run all the time
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extends: .matlab_batch_defaults
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tags:
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# Add additional tags like (e.g. - arduino) as required
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# Make sure that the runner you plan to use matches the tags
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- mathworks.matlab.cloud-linux-kubernetes
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stage: test
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script:
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- export MLM_LICENSE_TOKEN="$LICENSEOWNER|$LICENSELABEL|$LICENSETOKEN" # Set the batch token license
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- xvfb-run matlab-batch "openProject(pwd);RunAllTests"
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when: always
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allow_failure: true
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artifacts:
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name: "$VERSION"
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paths:
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- public/*
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when: always
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pages:
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extends: .matlab_batch_defaults
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tags:
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- mathworks.matlab.cloud-linux-kubernetes
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stage: deploy
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script:
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- export MLM_LICENSE_TOKEN="$LICENSEOWNER|$LICENSELABEL|$LICENSETOKEN" # Set the batch token license
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- xvfb-run matlab-batch "openProject(pwd);PostSmokeTest;"
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artifacts:
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paths:
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- public
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file-test:
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extends: .matlab_batch_defaults
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tags:
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- mathworks.matlab.cloud-linux-kubernetes
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stage: release
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script:
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- export MLM_LICENSE_TOKEN="$LICENSEOWNER|$LICENSELABEL|$LICENSETOKEN" # Set the batch token license
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- xvfb-run matlab-batch "proj = openProject(pwd);
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addpath(proj.RootFolder+'/InternalFiles/Tests/CI');
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results = runtests('OpenCloseFileTest.m');
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disp(table(results)); assertSuccess(results);"
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rules:
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# This test should always run when merging to main
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# And be available for manual running on any push
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- if: $CI_MERGE_REQUEST_TARGET_BRANCH_NAME == $CI_DEFAULT_BRANCH
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when: always
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- if: $CI_MERGE_REQUEST_TARGET_BRANCH_NAME != $CI_DEFAULT_BRANCH
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when: manual
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allow_failure: true
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# release-testing:
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# tags:
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# - matlab
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# stage: release
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# script:
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# - matlab -batch "proj = openProject(pwd);
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# cd ..;
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# addpath(genpath(fullfile('utilities','TestingResources')));
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# addpath(genpath(fullfile('utilities','Tools')));
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# runCMTests"
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# rules:
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## This test should always run when merging to main
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## And be available for manual running on any push
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# - if: $CI_MERGE_REQUEST_TARGET_BRANCH_NAME == $CI_DEFAULT_BRANCH
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# when: always
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# - if: $CI_MERGE_REQUEST_TARGET_BRANCH_NAME != $CI_DEFAULT_BRANCH
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# when: manual
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# allow_failure: true

‎CONTRIBUTING.md

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# Contributing
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>_If you believe you have discovered a security vulnerability, please **do not** open an issue or make a pull request. Follow the instructions in the [SECURITY.md](SECURITY.md) file in this repository._
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Thank you for your interest in contributing to a MathWorks repository! We encourage contributions large and small to this repository.
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**Contributions do not have to be code!** If you see a way to explain things more clearly or a great example of how to use something, please contribute it (or a link to your content). We welcome issues even if you don't code the solution. We also welcome pull requests to resolve issues that we haven't gotten to yet!
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## How to give feedback
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* **Send us an email:** Contact the [MathWorks teaching resources team.](mailto:onlineteaching@mathworks.com)
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* **Open an issue:** Start by [creating an issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue) in the repository that you're interested in. That will start a conversation with the maintainer. When you are creating a bug report, please include as many details as possible. Please remember that other people do not have your background or understanding of the issue; make sure you are clear and complete in your description.
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## How to contribute to the repository
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* **Work in your own public fork:** If you choose to make a contribution, you should [fork the repository](https://docs.github.com/en/get-started/quickstart/fork-a-repo). This creates an editable copy on GitHub where you can write, test, and refine your changes. We suggest that you keep your changes small and focused on the issue you submitted.
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* **Sign a Contributor License Agreement (CLA):** We require that all outside contributors sign a [CLA](https://en.wikipedia.org/wiki/Contributor_License_Agreement) before we can accept your contribution. When you create a pull request (see below), we'll reach out to you if you do not already have one on file. Essentially, the CLA gives us permission to publish your contribution as part of the repository.
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* **Make a pull request:** "[Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests)" is a confusing term, but it means exactly what it says: You're requesting that the maintainers of the repository pull your changes in. If you don't have a CLA on file, we'll reach out to you. Your contribution will be reviewed, and we may ask you to revise your pull request based on our feedback. Once everyone is satisfied, we'll merge your pull request into the repository.
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## Guidelines
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We don't have best practices for writing MATLAB&reg; code, but we do have some recommendations:
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* You should not have any warnings or errors in the [code analyzer report](http://www.mathworks.com/help/matlab/matlab_prog/matlab-code-analyzer-report.html)
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* [Loren Shure's blog](https://blogs.mathworks.com/loren) has [great advice on improving your MATLAB code](https://blogs.mathworks.com/loren/category/best-practice/)
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* Examples should be written as [live scripts](https://www.mathworks.com/help/matlab/matlab_prog/what-is-a-live-script-or-function.html) or [Simulink&reg; models](https://www.mathworks.com/help/simulink/index.html).
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* We adhere to the [CommonMark](https://commonmark.org/) specification where it does not conflict with GitHub rendering. If you edit your Markdown in Visual Studio Code or a similar editor, it uses [markdownlint](https://github.com/DavidAnson/markdownlint) to highlight issues in your Markdown.
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**Again, thanks for contributing, and we look forward to your issues and pull requests!**

‎FunctionLibrary/.gitkeep

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