# Byte-compiled / optimized / DLL files

__pycache__/

*.py[cod]

*$py.class

# C extensions

*.so

# MacOS

.DS_Store

# Distribution / packaging

.Python

build/

develop-eggs/

dist/

downloads/

eggs/

.eggs/

lib/

lib64/

parts/

sdist/

var/

wheels/

share/python-wheels/

*.egg-info/

.installed.cfg

*.egg

MANIFEST

# PyInstaller

# Usually these files are written by a python script from a template

# before PyInstaller builds the exe, so as to inject date/other infos into it.

*.manifest

*.spec

# Installer logs

pip-log.txt

pip-delete-this-directory.txt

# Unit test / coverage reports

htmlcov/

.tox/

.nox/

.coverage

.coverage.*

.cache

nosetests.xml

coverage.xml

*.cover

*.py,cover

.hypothesis/

.pytest_cache/

cover/

# Translations

*.mo

*.pot

# Django stuff:

*.log

local_settings.py

db.sqlite3

db.sqlite3-journal

# Flask stuff:

instance/

.webassets-cache

# Scrapy stuff:

.scrapy

# Sphinx documentation

docs/_build/

# PyBuilder

.pybuilder/

target/

# Jupyter Notebook

.ipynb_checkpoints

# IPython

profile_default/

ipython_config.py

# pyenv

# For a library or package, you might want to ignore these files since the code is

# intended to run in multiple environments; otherwise, check them in:

# .python-version

# pipenv

# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.

# However, in case of collaboration, if having platform-specific dependencies or dependencies

# having no cross-platform support, pipenv may install dependencies that don't work, or not

# install all needed dependencies.

#Pipfile.lock

# poetry

# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.

# This is especially recommended for binary packages to ensure reproducibility, and is more

# commonly ignored for libraries.

# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control

#poetry.lock

# pdm

# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.

#pdm.lock

# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it

# in version control.

# https://pdm.fming.dev/#use-with-ide

.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm

__pypackages__/

# Celery stuff

celerybeat-schedule

celerybeat.pid

# SageMath parsed files

*.sage.py

# Environments

.env

.env.*

.venv

env/

venv/

ENV/

env.bak/

venv.bak/

# Spyder project settings

.spyderproject

.spyproject

# Rope project settings

.ropeproject

# mkdocs documentation

/site

# mypy

.mypy_cache/

.dmypy.json

dmypy.json

# Pyre type checker

.pyre/

# pytype static type analyzer

.pytype/

# Cython debug symbols

cython_debug/

# PyCharm

# JetBrains specific template is maintained in a separate JetBrains.gitignore that can

# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore

# and can be added to the global gitignore or merged into this file. For a more nuclear

# option (not recommended) you can uncomment the following to ignore the entire idea folder.

.idea/

*.iml

# Python CProfile

prof/

*.prof

*.lprof

*.callgrind

result.json

profile.json

# zig language server

zig-cache/

zig-out/

# Notebooks

playground.ipynb

.ruff_cache

/pydust.build.zig

zls.build.json

# Benchmark data

*.npz

.downloads

benchmarks/.out

# Scratch

*.vortex

*.parquet

!docs/_static/example.parquet

# TPC-H benchmarking data

/data/

# vscode

.vscode/

# Emacs

*~

# Zed

.zed/

*.plan

# Default samply profile

profile.json.gz

*.trace.json

*.folded

# LLVM profiles

*.profraw

# Clang compilation database (https://clang.llvm.org/docs/JSONCompilationDatabase.html)

compile_commands.json

# Claude

.claude