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feat: improve Trainer and DeeprankDataset logic for production testing #1376

feat: improve Trainer and DeeprankDataset logic for production testing

feat: improve Trainer and DeeprankDataset logic for production testing #1376

Workflow file for this run

name: coveralls
on:
push:
paths-ignore:
# specific folder locations
- ".vscode/**"
- "docs/**"
# filetypes
- "**.md"
- "**.rst"
- "**.ipynb"
- "**.cff"
- "**.png"
branches:
- main
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
paths-ignore:
# specific folder locations
- ".vscode/**"
- "docs/**"
# filetypes
- "**.md"
- "**.rst"
- "**.ipynb"
- "**.cff"
- "**.png"
jobs:
build:
if: github.event.pull_request.draft == false
name: Coveralls
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: ["ubuntu-latest"]
python-version: ['3.10']
steps:
- uses: actions/checkout@v3
- uses: ./.github/actions/install-python-and-package
with:
python-version: ${{ matrix.python-version }}
extras-require: test
- name: Run unit tests with coverage
run: pytest --cov --cov-append --cov-report xml --cov-report term --cov-report html
- name: Coveralls
env:
GITHUB_TOKEN: ${{ secrets.github_token }}
COVERALLS_FLAG_NAME: python-${{ matrix.os }}
run: |
coveralls --service=github