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Test training flow - 1 epoch
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
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/
# Environments
.env
.venv
.seriguela
venv/
ENV/
env/
env.bak/
venv.bak/
# IDEs / Editors
.idea/
.vscode/
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?
# Jupyter Notebook
.ipynb_checkpoints
# Output folder (geralmente grande demais para Git)
output/*
!output/.gitkeep # Não ignore um .gitkeep se precisar manter a pasta
scripts/output/*
# Dados (podem ser grandes, usar Git LFS ou armazenar fora se necessário)
# Note: CSV files in data/processed/ can be 100MB+ and are excluded from git
# Run scripts/data/prepare_training_data_fixed.py on target system to generate them
data/*
data/raw/*
data/processed/*
!data/raw/.gitkeep
!data/processed/.gitkeep
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
.env
nul
wandb
# AWS credentials and keys
aws/keys/*.pem
aws/keys/*.key
aws/.env
aws/credentials
*.pem
*.key
# Files with embedded tokens (userdata scripts, temp files)
.claude/settings.local.json
aws/temp/
userdata_*.sh
# Large data files (>100MB)
1_data/processed/**/*.csv
1_data/raw/**/*.csv
*.tar.gz
models_compressed.tar.gz