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+ # Auto detect text files and perform LF normalization
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+ * text =auto
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+ # Byte-compiled / optimized / DLL files
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+ __pycache__ /
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+ * .py [cod ]
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+ * $py.class
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+
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+ # C extensions
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+ * .so
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+
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+ # Distribution / packaging
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+ .Python
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+ build /
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+ develop-eggs /
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+ dist /
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+ downloads /
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+ eggs /
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+ .eggs /
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+ lib /
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+ lib64 /
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+ parts /
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+ sdist /
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+ var /
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+ wheels /
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+ pip-wheel-metadata /
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+ share /python-wheels /
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+ * .egg-info /
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+ .installed.cfg
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+ * .egg
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+ MANIFEST
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+
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+ # PyInstaller
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+ # Usually these files are written by a python script from a template
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+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
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+ * .manifest
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+ * .spec
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+
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+ # Installer logs
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+ pip-log.txt
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+ pip-delete-this-directory.txt
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+
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+ # Unit test / coverage reports
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+ htmlcov /
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+ .tox /
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+ .nox /
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+ .coverage
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+ .coverage. *
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+ .cache
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+ nosetests.xml
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+ coverage.xml
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+ * .cover
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+ .hypothesis /
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+ .pytest_cache /
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+
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+ # Translations
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+ * .mo
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+ * .pot
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+
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+ # Django stuff:
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+ * .log
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+ local_settings.py
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+ db.sqlite3
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+
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+ # Flask stuff:
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+ instance /
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+ .webassets-cache
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+
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+ # Scrapy stuff:
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+ .scrapy
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+
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+ # Sphinx documentation
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+ docs /_build /
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+
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+ # PyBuilder
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+ target /
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+
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+ # Jupyter Notebook
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+ .ipynb_checkpoints
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+
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+ # IPython
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+ profile_default /
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+ ipython_config.py
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+
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+ # pyenv
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+ .python-version
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+
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+ # pipenv
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+ # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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+ # However, in case of collaboration, if having platform-specific dependencies or dependencies
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+ # having no cross-platform support, pipenv may install dependencies that don't work, or not
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+ # install all needed dependencies.
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+ # Pipfile.lock
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+
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+ # celery beat schedule file
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+ celerybeat-schedule
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+
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+ # SageMath parsed files
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+ * .sage.py
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+
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+ # Environments
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+ .env
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+ .venv
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+ env /
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+ venv /
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+ ENV /
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+ env.bak /
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+ venv.bak /
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+
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+ # Spyder project settings
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+ .spyderproject
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+ .spyproject
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+
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+ # Rope project settings
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+ .ropeproject
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+
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+ # mkdocs documentation
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+ /site
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+
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+ # mypy
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+ .mypy_cache /
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+ .dmypy.json
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+ dmypy.json
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+
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+ # Pyre type checker
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+ .pyre /
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+ # func_adl
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+ Construct hierarchical data queries using SQL-like concepts in python
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