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pyproject.toml
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103 lines (96 loc) · 2.5 KB
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[project]
name = "finetuning_on_cpu"
version = "0.1.0"
description = "An example ML training setup using Bazel"
requires-python = ">=3.13"
dependencies = [
"numpy",
"datasets",
"torch",
"transformers[torch]",
]
[tool.hatch.build.targets.wheel]
packages = ["training"]
[project.optional-dependencies]
dev = [
"ruff"
]
[tool.ruff]
line-length = 80
target-version = "py313"
namespace-packages = ["training"]
[tool.ruff.lint]
select = [
"AIR", # Airflow
"ERA", # eradicate
"FAST", # FastAPI
"YTT", # flake8-2020
"ANN", # flake8-annotations
"ASYNC", # flake8-async
"S", # flake8-bandit
"BLE", # flake8-blind-except
"FBT", # flake8-boolean-trap
"B", # flake8-bugbear
"A", # flake8-builtins
"COM", # flake8-commas
"C4", # flake8-comprehensions
"DTZ", # flake8-datetimez
"T10", # flake8-debugger
"DJ", # flake8-django
"EM", # flake8-errmsg
"EXE", # flake8-executable
"FIX", # flake8-fixme
"FA", # flake8-future-annotations
"INT", # flake8-gettext
"ISC", # flake8-implicit-str-concat
"ICN", # flake8-import-conventions
"LOG", # flake8-logging
"G", # flake8-logging-format
"INP", # flake8-no-pep420
"PIE", # flake8-pie
"T20", # flake8-print
"PYI", # flake8-pyi
"PT", # flake8-pytest-style
"Q", # flake8-quotes
"RSE", # flake8-raise
"RET", # flake8-return
"SLF", # flake8-self
"SIM", # flake8-simplify
"SLOT", # flake8-slots
"TID", # flake8-tidy-imports
"TD", # flake8-todos
"TC", # flake8-type-checking
"ARG", # flake8-unused-arguments
"PTH", # flake8-use-pathlib
"FLY", # flynt
"I", # isort
"C90", # mccabe
"NPY", # NumPy-specific rules
"PD", # pandas-vet
"N", # pep8-naming
"PERF", # Perflint
"E", # pycodestyle errors
"W", # pycodestyle warnings
"D", # pydocstyle
"F", # Pyflakes
"PGH", # pygrep-hooks
"PLC", # Pylint convention
"PLE", # Pylint error
"PLR", # Pylint refactor
"PLW", # Pylint warning
"UP", # pyupgrade
"FURB", # refurb
"RUF", # Ruff-specific rules
"TRY", # tryceratops
]
ignore = [
"COM812" # Incompatible with the formatter
]
[tool.ruff.lint.pydocstyle]
convention = "google"
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[tool.uv.sources]
torch = { index = "pytorch-cpu" }