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pyproject.toml
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pyproject.toml
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[project]
name = "ml_scheduler"
version = "1.2.0"
description = "A lightweight machine learning experiment scheduler that automates resource management (e.g., GPUs and models) and batch runs experiments with just a few lines of Python code."
authors = [
{name = "Yiwen Hu", email = "[email protected]"},
]
license = "MIT"
readme = "README.md"
keywords = ["machine learning", "scheduler", "async", "artificial intelligence", "large language model"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
"nvitop",
"pandas",
"nvitop",
"typing-extensions",
"coloredlogs",
"numpy>=2.0.0",
]
requires-python = ">= 3.8"
[project.optional-dependencies]
dev = [
"isort>=5.3",
"pytest>=5.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.black]
line-length = 100
[tool.isort]
profile = "hug"
[tool.bumpver]
current_version = "1.2.0"
version_pattern = "MAJOR.MINOR.PATCH"
commit_message = "Bump version {old_version} -> {new_version}"
tag_message = "{new_version}"
tag_scope = "default"
pre_commit_hook = ""
post_commit_hook = ""
commit = true
tag = true
push = false
[tool.bumpver.file_patterns]
"pyproject.toml" = [
'current_version = "{version}"',
]
"README.md" = [
"{version}",
"{pep440_version}",
]