Expose some methods of optimisation so we could customise in our code. #9
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name: Benchmarks | |
on: | |
push: | |
branches: ['*'] | |
tags: ['*'] | |
pull_request: | |
branches: [master] | |
jobs: | |
build: | |
runs-on: self-hosted | |
container: | |
image: quantconnect/lean:foundation | |
volumes: | |
- /nas:/Data | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Checkout Lean Master | |
uses: actions/checkout@v2 | |
with: | |
repository: QuantConnect/Lean | |
path: LeanMaster | |
ref: 'master' | |
- name: Build Lean Master | |
run: dotnet build --verbosity q /p:Configuration=Release /p:WarningLevel=1 LeanMaster/QuantConnect.Lean.sln | |
- name: Run Benchmarks Master | |
run: cp run_benchmarks.py LeanMaster/run_benchmarks.py && cd LeanMaster && python run_benchmarks.py /Data && cd ../ | |
- name: Build | |
run: dotnet build --verbosity q /p:Configuration=Release /p:WarningLevel=1 QuantConnect.Lean.sln | |
- name: Run Benchmarks | |
run: python run_benchmarks.py /Data | |
- name: Compare Benchmarks | |
run: python compare_benchmarks.py LeanMaster/benchmark_results.json benchmark_results.json |