# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
env/
build/
_build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
testenv/

# 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/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

# dotenv
.env

# virtualenv
.venv
venv/
ENV/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/

# IDE settings
.vscode/
.idea/

.DS_STORE


# Ignore .claude directory
.claude/

#Ignore zip files
*.zip

# HuggingFace cache
.hf_cache*/

# ── v0.2 (PLAN.md Section 4.0) ────────────────────────────────────────
# Retrieved papers and cloned reference implementations: copyright and size.
# sources/SOURCES.yaml and docs/fidelity/ are the committed evidence.
sources/papers/
# `third_party/*` rather than `third_party/`: git cannot re-include a file
# inside an excluded directory, and LICENSES.md must stay committed.
third_party/*
!third_party/LICENSES.md

# Generation cache (PLAN.md Section 1: regenerable from the protocol hash)
cache/
!cache/.gitkeep

# Large artefacts under results/. The JSON, markdown, and figures in results/
# ARE committed — Section 11 depends on them; only weights and vectors are not.
# See REVIEW_LATER.md RL-007.
*.tar
pytorch_model.bin
optimizer.pt
# Training state, not needed to run a checkpoint for inference. The tokenizer
# and config files beside them are kept: `scripts/experiments/
# repro_regard_fig2_rescore.py` reads them, and they are what identifies the
# classifier. The weights themselves are not redistributed.
scheduler.pt
training_args.bin

# macOS metadata
.DS_Store
._*
glove.*.txt
