[tool.poetry]
name = "GPy"
version = "1.13.1"
description = "The Gaussian Process Toolbox"
authors = ["GPy Authors <gpy.authors@gmail.com>"]
license = "BSD-3-Clause"
keywords = ["machine-learning", "gaussian-processes", "kernels"]
homepage = "https://sheffieldml.github.io/GPy/"
repository = "https://github.com/SheffieldML/GPy"
documentation = "https://github.com/SheffieldML/GPy"
readme = "README.md"
build = "build_extension.py"
include = ["build_extension.py"]
packages = [{ include = "GPy" }]

[tool.poetry.dependencies]
python = ">=3.9,<4"
numpy = ">=1.7,<2"  # paramz is not compatible with numpy 2.0
six = "*"
paramz = ">=0.9.6"
cython = "^0.29"
scipy = [
    { version = ">=1.3.0,<1.14.0", markers = "python_version == \"3.9\"" },
    # as off scipy 1.14.0, the minimum python version is 3.10
    { version = ">=1.3.0", markers = "python_version > \"3.9\"" },
]
tables = ">=3.9.0"
sphinx = { version = "*", optional = true }
mpi4py = { version = "*", optional = true }
ipython = { version = ">=4.0.0", optional = true }
matplotlib = { version = ">=3.3.4", optional = true }
plotly = { version = ">=1.8.6", optional = true }
jupyter_client = { version = ">=4.0.6", optional = true }
ipywidgets = { version = ">=4.0.3", optional = true }
ipykernel = { version = ">=4.1.0", optional = true }
notebook = { version = ">=4.0.5", optional = true }

[tool.poetry.extras]
docs = ["sphinx"]
optional = ["mpi4py", "ipython"]
plotting = ["matplotlib", "plotly"]
notebook = ["jupyter_client", "ipywidgets", "ipykernel", "notebook"]

[tool.poetry.group.dev.dependencies]
matplotlib = "^3.9.1"
pytest = "^8.2.2"
pods = "^0.1.14"

[build-system]
requires = ["poetry-core>=1.0.0", "setuptools", "wheel", "numpy", "cython"]
build-backend = "poetry.core.masonry.api"