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Efficient Tensor conversion from list of numpy arrays #230

Efficient Tensor conversion from list of numpy arrays

Efficient Tensor conversion from list of numpy arrays #230

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: build
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
name: ${{ matrix.os }} Python ${{ matrix.python-version }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macOS-latest]
python-version: ['3.8', '3.9', '3.10']
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.os }} ${{ matrix.python-version }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install flake8 pytest
pip install -r requirements.txt
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: |
pytest -m "not sample"