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pyproject.toml
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[tool.poetry]
name = "monaco"
version = "0.14.0"
description = "Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library."
authors = ["Scott Shambaugh <[email protected]>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/scottshambaugh/monaco/"
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering",
"Topic :: Software Development",
]
[tool.poetry.dependencies]
python = ">=3.10.0,<3.14"
numpy = ">=1.26"
scipy = "^1.11"
matplotlib = "^3.6"
tqdm = "^4.0"
psutil = "^5.0"
distributed = ">=2022"
cloudpickle = "^2.0"
pillow = ">=10.3.0"
pandas = {version = ">=2.2", optional = true}
numba = {version = ">0.57", python = "<3.12", optional = true}
sphinx = {version = "^7.0", optional = true}
sphinx_rtd_theme = {version = "^2.0", optional = true}
myst-parser = {version = ">=0.15", optional = true}
[tool.poetry.dev-dependencies]
pytest = ">=7.2"
coverage = "^7.0"
mypy = ">=1.0"
flake8 = "^5.000"
pre-commit = "^3.0"
requests = "^2.0"
[tool.poetry.extras]
pandas = ["pandas"]
numba = ["numba"]
docs = ["sphinx", "sphinx_rtd_theme", "myst-parser"]
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["setuptools", "poetry-core", "numpy>=2.0.0"]