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Copy pathpyproject.toml
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63 lines (59 loc) · 1.69 KB
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[build-system]
requires = ["setuptools >= 64"]
build-backend = "setuptools.build_meta"
[project]
name="conin"
version="1.1.1"
dependencies = [
"munch",
"numpy",
"pandas",
"pyomo",
]
readme = {file = "README.md", content-type = "text/markdown"}
description="Clio supports constrained analysis and learning for stochastic models with latent variables"
classifiers=[
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
#'License :: OSI Approved :: BSD License',
"Natural Language :: English",
#'Operating System :: MacOS',
#'Operating System :: Microsoft :: Windows',
"Operating System :: Unix",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Software Development :: Libraries :: Python Modules",
]
[project.optional-dependencies]
test = [
"pytest",
"pytest-cov",
]
pgmpy = ["pgmpy"]
pyagrum = ["pyagrum"]
pgmax = ["pgmax"]
pomegranate = ["pomegranate"]
pgm-all = ["pgmpy", "pyagrum", "pgmax", "pomegranate"]
[tool.setuptools.packages.find]
where = ["."]
include = ["conin*"]
[tool.coverage.report]
exclude_also = [
'if self.debug:',
'if debug:',
'raise AssertionError.*',
'raise NotImplementedError.*',
'@(abc.)?abstractmethod',
'if noisy:',
'if self.noisy:',
'pragma: no cover',
'pass',
'except Exception as e:',
'except BaseException:',
'except ImportError:',
]