Metadata-Version: 2.1
Name: nbqa
Version: 0.1.16
Summary: Run any Python code quality tool on a Jupyter Notebook!
Home-page: https://github.com/MarcoGorelli/nbQA
Author: Marco Gorelli
Author-email: m.e.gorelli@gmail.com
License: MIT license
Description: .. image:: https://github.com/nbQA-dev/nbQA/raw/master/assets/logo.png
          :width: 400
        
        ====
        nbQA
        ====
        
        .. image:: https://github.com/nbQA-dev/nbQA/workflows/tox/badge.svg
                  :target: https://github.com/nbQA-dev/nbQA/actions?workflow=tox
        
        .. image:: https://codecov.io/gh/nbQA-dev/nbQA/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/nbQA-dev/nbQA
        
        .. image:: https://badge.fury.io/py/nbqa.svg
            :target: https://badge.fury.io/py/nbqa
        
        .. image:: https://readthedocs.org/projects/nbqa/badge/?version=latest&style=plastic
            :target: https://nbqa.readthedocs.io/en/latest/
        
        .. image:: https://img.shields.io/pypi/pyversions/nbqa.svg
            :target: https://pypi.org/project/nbqa/
        
        .. image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
            :target: https://github.com/pre-commit/pre-commit
        
        .. image:: http://www.mypy-lang.org/static/mypy_badge.svg
            :target: http://mypy-lang.org/
        
        .. image:: https://interrogate.readthedocs.io/en/latest/_static/interrogate_badge.svg
           :target: https://github.com/econchick/interrogate
        
        .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/psf/black
        
        .. image:: https://img.shields.io/badge/pylint-10/10-brightgreen.svg
           :target: https://github.com/PyCQA/pylint
        
        Adapter to run any code-quality tool on a Jupyter notebook.
        This is intended to be run as a `pre-commit`_ hook and/or during continuous integration.
        
        Documentation is hosted here_.
        
        Prerequisites
        -------------
        If you don't have `pip`_ installed, this `Python installation guide`_ can guide
        you through the process.
        
        .. _pip: https://pip.pypa.io
        .. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/
        
        Installation
        ------------
        
        Install :code:`nbqa` with
        
        .. code-block:: bash
        
            $ pip install nbqa
        
        There are **no dependencies** for :code:`nbqa` so installation should be lightning-fast.
        Check your installation with
        
        .. code-block:: bash
        
            $ nbqa --version
            nbqa 0.1.16
        
        Quickstart
        ----------
        
        The general syntax is
        
        .. code-block:: bash
        
            nbqa <command> <notebook or directory> <args>
        
        where :code:`command` is any standard Python code quality tool.
        
        Examples
        --------
        
        Check static type annotations:
        
        .. code-block:: bash
        
            $ nbqa mypy tweet-sentiment-roberta-pytorch.ipynb --ignore-missing-imports
            tweet-sentiment-roberta-pytorch.ipynb:cell_10:5: error: Argument "batch_size" to "get_test_loader" has incompatible type "str"; expected "int"
        
        Check any examples in your docstrings are correct:
        
        .. code-block:: bash
        
            $ nbqa pytest tweet-sentiment-roberta-pytorch.ipynb --doctest-modules
            ============================= test session starts ==============================
            platform linux -- Python 3.8.2, pytest-5.4.3, py-1.9.0, pluggy-0.13.1
            rootdir: /home/marco/tweet-sentiment-extraction
            plugins: cov-2.10.0
            collected 3 items
        
            tweet-sentiment-roberta-pytorch.ipynb .                                  [100%]
        
            ============================== 1 passed in 0.03s ===============================
        
        Format your notebooks using :code:`black`:
        
        .. code-block:: bash
        
            $ nbqa black . --line-length=96 --allow-mutation
            reformatted tweet-sentiment-roberta-pytorch.ipynb
            All done! ✨ 🍰 ✨
            1 files reformatted.
        
        Note that if, as in this last example, you expect your notebooks to be modified, you will need to
        pass the :code:`--allow-mutation` flag.
        
        Configuration
        -------------
        
        By default, `nbQA` will use your tools' standard configuration files (e.g. :code:`setup.cfg`, :code:`mypy.ini`).
        You can pass extra configurations to your tools either via the command line (as in the
        examples above), or in a :code:`.nbqa.ini` file:
        
        .. code-block:: ini
        
            [black]
            addopts = --line-length=96
        
            [flake8]
            addopts = --max-line-length=96 \
                      --ignore=E203,W503,W504 \
                      --quiet
        
        Usage as pre-commit hook
        ------------------------
        
        If you want to use :code:`nbqa` with `pre-commit`_, here's an example of what you
        could add to your :code:`.pre-commit-config.yaml` file:
        
        .. code-block:: yaml
        
          - repo: https://github.com/nbQA-dev/nbQA
            rev: 0.1.16
            hooks:
              - id: nbqa
                args: ['flake8']
                name: nbqa-flake8
                additional_dependencies: ['flake8']
              - id: nbqa
                args: ['isort', '--allow-mutation']
                name: nbqa-isort
                additional_dependencies: ['isort']
              - id: nbqa
                args: ['mypy']
                name: nbqa-mypy
                additional_dependencies: ['mypy']
        
        Supported third party packages
        ------------------------------
        
        In theory, :code:`nbqa` can adapt any Python code-quality tool to a Jupyter Notebook.
        
        In practice, here are the tools it's been tested with:
        
        - flake8_
        - black_
        - pytest_
        - isort_
        - mypy_ (you will need to have `__init__` files in each subdirectory)
        - doctest_ (as long as you run it via pytest_ with the `--doctest-modules` flag)
        
        See Also
        --------
        
        Here are some specialised code quality tools for Jupyter Notebooks:
        
        - `flake8-nb`_;
        - `black-nb`_.
        
        Project template from cookiecutter_.
        
        .. _cookiecutter: https://github.com/cookiecutter/cookiecutter
        .. _flake8: https://flake8.pycqa.org/en/latest/
        .. _black: https://black.readthedocs.io/en/stable/
        .. _pytest: https://docs.pytest.org/en/latest/
        .. _isort: https://timothycrosley.github.io/isort/
        .. _mypy: http://mypy-lang.org/
        .. _doctest: https://docs.python.org/3/library/doctest.html
        .. _black-nb: https://github.com/tomcatling/black-nb
        .. _flake8-nb: https://flake8-nb.readthedocs.io/en/latest/readme.html
        .. _here: https://nbqa.readthedocs.io/en/latest/
        .. _`pre-commit`: https://pre-commit.com/
        
Keywords: nbqa
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
