Python库 | operator-manifest-0.0.1.tar.gz

# Operator Manifest A python library for processing operator manifests. ## Running the Unit Tests The testing environment is managed by [tox](https://tox.readthedocs.io/en/latest/). Simply run `tox` and all the linting and unit tests will run. If you'd like to run a specific unit test, you can do the following: ```bash tox -e py37 tests/test_operator.py::TestOperatorCSV::test_valuefrom_references_not_allowed ``` ## Dependency Management To manage dependencies, this project uses [pip-tools](https://github.com/jazzband/pip-tools) so that the production dependencies are pinned and the hashes of the dependencies are verified during installation. The unpinned dependencies are recorded in `setup.py`, and to generate the `requirements.txt` file, run `pip-compile --generate-hashes --output-file=requirements.txt`. This is only necessary when adding a new package. To upgrade a package, use the `-P` argument of the `pip-compile` command. To update `requirements-test.txt`, run `pip-compile --generate-hashes requirements-test.in -o requirements-test.txt`. When installing the dependencies in a production environment, run `pip install --require-hashes -r requirements.txt`. Alternatively, you may use `pip-sync requirements.txt`, which will make sure your virtualenv only has the packages listed in `requirements.txt`.