tsln-python/pyproject.toml at main · turboline-ai/tsln-python · GitHub

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "tsln"
version = "1.0.0"
description = "Time-Series Lean Notation - 74% token reduction for LLMs"
authors = [{name = "Turboline Team", email = "dev@turboline.ai"}]
license = {text = "MIT"}
readme = "README.md"
requires-python = ">=3.8"
keywords = ["tsln", "time-series", "compression", "llm", "tokens", "ai", "data-serialization"]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Software Development :: Libraries",
    "Topic :: Scientific/Engineering",
    "Topic :: Text Processing",
]

dependencies = [
    "python-dateutil>=2.8.2",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
    "pytest-benchmark>=4.0.0",
    "hypothesis>=6.82.0",
    "black>=23.7.0",
    "mypy>=1.4.1",
    "ruff>=0.0.280",
]
numpy = ["numpy>=1.20.0"]
pandas = ["pandas>=1.3.0"]

[project.urls]
Homepage = "https://github.com/turboline-ai/tsln-python"
Documentation = "https://github.com/turboline-ai/tsln-python#readme"
Repository = "https://github.com/turboline-ai/tsln-python"
Issues = "https://github.com/turboline-ai/tsln-python/issues"

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "-v"

[tool.black]
line-length = 100
target-version = ['py38', 'py39', 'py310', 'py311', 'py312']

[tool.mypy]
python_version = "3.8"
strict = true
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true

[tool.ruff]
line-length = 100
target-version = "py38"
select = ["E", "F", "I", "N", "W"]