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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "cd4ml-sales-forecasting"
version = "0.1.0"
description = ""
authors = ["danielbrito91 <[email protected]>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "3.12.*"
polars = "^1.6.0"
pyarrow = "^17.0.0"
python-dotenv = "^1.0.1"
scikit-learn = "^1.5.1"
dvc = "^3.55.2"
dvc-s3 = "^3.2.0"
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.29.5"
pre-commit = "^3.8.0"
ruff = "^0.6.4"
taskipy = "^1.13.0"
[tool.ruff]
line-length = 79
extend-exclude = ['migrations']
[tool.ruff.lint]
preview = true
select = ['I', 'F', 'E', 'W', 'PL', 'PT']
[tool.ruff.format]
preview = true
quote-style = 'single'
[tool.taskipy.tasks]
lint = 'ruff check cd4ml_sales_forecasting/. && ruff check cd4ml_sales_forecasting/. --diff'
format = 'ruff check cd4ml_sales_forecasting/. --fix && ruff format cd4ml_sales_forecasting/.'
data_load = 'python cd4ml_sales_forecasting/download_data.py --config=params.yaml'
data_split = 'python cd4ml_sales_forecasting/split_data.py --config=params.yaml'
train = 'python cd4ml_sales_forecasting/decision_tree.py --config=params.yaml'
eval = 'python cd4ml_sales_forecasting/evaluation.py --config=params.yaml'
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"