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Modularize GaussianCopulaSynthesizer._fit (#2273) #44

Modularize GaussianCopulaSynthesizer._fit (#2273)

Modularize GaussianCopulaSynthesizer._fit (#2273) #44

name: Data Types Benchmark
on:
push:
branches:
- main
jobs:
run_dtypes_benchmark:
runs-on: ubuntu-latest
timeout-minutes: 20
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install invoke .[test]
- name: Create folder and JSON file
run: |
mkdir -p results
touch results/${{ matrix.python-version }}.json
# Run the benchmarking
- name: Benchmark Data Types
env:
PYDRIVE_CREDENTIALS: ${{ secrets.PYDRIVE_CREDENTIALS }}
run: |
invoke benchmark-dtypes
continue-on-error: true
# Upload the json files as artifacts
- name: Upload artifacts
uses: actions/upload-artifact@v3
with:
name: results-${{ matrix.python-version }}
path: results/*.json
generate_dtypes_report:
runs-on: ubuntu-latest
needs: run_dtypes_benchmark
steps:
- name: Checkout code
uses: actions/checkout@v4
# Set up Python 3.10
- name: Set up Python 3.10
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies for report
run: |
python -m pip install --upgrade pip
python -m pip install .[test]
# Download the artifacts
- name: Download artifacts
uses: actions/download-artifact@v3
with:
path: results/
# Generate the report
- name: Generate the report
env:
PYDRIVE_CREDENTIALS: ${{ secrets.PYDRIVE_CREDENTIALS }}
SLACK_TOKEN: ${{ secrets.SLACK_TOKEN }}
run: python -m tests.benchmark.utils