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pyproject.toml
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# ======================================================================================
# Project metadata
# ======================================================================================
[project]
name = "optimagic"
description = "Tools to solve difficult numerical optimization problems."
requires-python = ">=3.10"
dependencies = [
"cloudpickle",
"joblib",
"numpy",
"pandas",
"plotly",
"pybaum>=0.1.2",
"scipy>=1.2.1",
"sqlalchemy>=1.3",
"annotated-types",
"typing-extensions",
]
dynamic = ["version"]
keywords = [
"nonlinear optimization",
"optimization",
"derivative free optimization",
"global optimization",
"parallel optimization",
"statistics",
"estimation",
"extremum estimation",
"inference",
"numerical differentiation",
"finite differences",
"method of simulated moments",
"maximum likelihood",
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering",
]
authors = [
{ name = "Janos Gabler", email = "janos.gabler@gmail.com" },
]
maintainers = [
{ name = "Janos Gabler", email = "janos.gabler@gmail.com" },
{ name = "Tim Mensinger", email = "mensingertim@gmail.com" },
]
[project.readme]
file = "README.md"
content-type = "text/markdown"
[project.license]
text = "MIT"
[project.urls]
Repository = "https://github.com/optimagic-dev/optimagic"
Github = "https://github.com/optimagic-dev/optimagic"
Tracker = "https://github.com/optimagic-dev/optimagic/issues"
# ======================================================================================
# Build system configuration
# ======================================================================================
[build-system]
requires = ["hatchling", "hatch_vcs"]
build-backend = "hatchling.build"
[tool.hatch.build.hooks.vcs]
version-file = "src/optimagic/_version.py"
[tool.hatch.build.targets.sdist]
exclude = ["tests"]
only-packages = true
[tool.hatch.build.targets.wheel]
only-include = ["src"]
sources = ["src"]
[tool.hatch.version]
source = "vcs"
[tool.hatch.metadata]
allow-direct-references = true
# ======================================================================================
# Ruff configuration
# ======================================================================================
[tool.ruff]
target-version = "py310"
fix = true
[tool.ruff.lint]
select = [
# isort
"I",
# pyflakes
"F",
# pycodestyle
"E",
"W",
# flake8-2020
"YTT",
# flake8-bugbear
"B",
# flake8-quotes
"Q",
# pylint
"PLE", "PLR", "PLW",
# misc lints
"PIE",
# tidy imports
"TID",
# implicit string concatenation
"ISC",
]
extend-ignore = [
# allow module import not at top of file, important for notebooks
"E402",
# do not assign a lambda expression, use a def
"E731",
# Too many arguments to function call
"PLR0913",
# Too many returns
"PLR0911",
# Too many branches
"PLR0912",
# Too many statements
"PLR0915",
# Magic number
"PLR2004",
# Consider `elif` instead of `else` then `if` to remove indentation level
"PLR5501",
# For calls to warnings.warn(): No explicit `stacklevel` keyword argument found
"B028",
# Incompatible with formatting
"ISC001",
]
[tool.ruff.lint.per-file-ignores]
"docs/source/conf.py" = ["E501", "ERA001", "DTZ005"]
"src/optimagic/parameters/kernel_transformations.py" = ["ARG001", "N806"]
"docs/source/*" = ["B018"]
"src/optimagic/algorithms.py" = ["E501"]
[tool.ruff.lint.pydocstyle]
convention = "google"
# ======================================================================================
# Pytest configuration
# ======================================================================================
[tool.pytest.ini_options]
filterwarnings = [
"ignore:Using or importing the ABCs from 'collections'",
"ignore:the imp module is deprecated",
"ignore:Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.",
"ignore:In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only",
"ignore:Please use `MemoizeJac` from the `scipy.optimize` namespace",
"ignore:`scipy.optimize.optimize.MemoizeJac` is deprecated",
"ignore:Some algorithms did not converge. Their walltime has been set to a very high value instead of infinity because Timedeltas do notsupport infinite values",
"ignore:In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences",
"ignore:distutils Version classes are deprecated. Use packaging.version instead",
"ignore:Standard matrix inversion failed due to LinAlgError",
"ignore:delta_grad == 0.0",
"ignore:Widget._active_widgets is deprecated",
"ignore:Widget._widget_types is deprecated",
"ignore:Widget.widget_types is deprecated",
"ignore:Widget.widgets is deprecated",
"ignore:Parallelization together with",
"ignore:Conversion of an array with ndim > 0 to a scalar is deprecated",
"ignore:The following exception was caught when evaluating",
"ignore:The following exception was caught when calculating",
"ignore:Usage of the parameter log_options",
]
addopts = ["--doctest-modules", "--pdbcls=pdbp:Pdb"]
markers = [
"wip: Tests that are work-in-progress.",
"slow: Tests that take a long time to run and are skipped in continuous integration.",
"jax: Tests that require jax to be installed and are skipped on non-Linux systems.",
]
norecursedirs = ["docs", ".tools"]
# ======================================================================================
# Misc configuration
# ======================================================================================
[tool.yamlfix]
line_length = 88
sequence_style = "block_style"
none_representation = "null"
# ======================================================================================
# Mypy configuration
# ======================================================================================
[tool.mypy]
files = ["src", "tests", ".tools"]
check_untyped_defs = true
disallow_any_generics = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = true
[[tool.mypy.overrides]]
module = [
"optimagic.benchmarking",
"optimagic.benchmarking.benchmark_reports",
"optimagic.benchmarking.cartis_roberts",
"optimagic.benchmarking.get_benchmark_problems",
"optimagic.benchmarking.more_wild",
"optimagic.benchmarking.noise_distributions",
"optimagic.benchmarking.process_benchmark_results",
"optimagic.benchmarking.run_benchmark",
"optimagic.differentiation",
"optimagic.differentiation.derivatives",
"optimagic.differentiation.finite_differences",
"optimagic.differentiation.generate_steps",
"optimagic.differentiation.richardson_extrapolation",
"optimagic.examples",
"optimagic.examples.numdiff_functions",
"optimagic.optimization",
"optimagic.optimization.algo_options",
"optimagic.optimization.convergence_report",
"optimagic.optimization.optimization_logging",
"optimagic.optimization.optimize_result",
"optimagic.optimization.optimize",
"optimagic.optimization.multistart",
"optimagic.optimization.scipy_aliases",
"optimagic.optimization.create_optimization_problem",
"optimagic.optimizers._pounders",
"optimagic.optimizers._pounders.pounders_auxiliary",
"optimagic.optimizers._pounders.pounders_history",
"optimagic.optimizers._pounders._conjugate_gradient",
"optimagic.optimizers._pounders._steihaug_toint",
"optimagic.optimizers._pounders._trsbox",
"optimagic.optimizers._pounders.bntr",
"optimagic.optimizers._pounders.gqtpar",
"optimagic.optimizers._pounders.linear_subsolvers",
"optimagic.optimizers",
"optimagic.optimizers.tranquilo",
"optimagic.optimizers.pygmo_optimizers",
"optimagic.optimizers.scipy_optimizers",
"optimagic.optimizers.nag_optimizers",
"optimagic.optimizers.neldermead",
"optimagic.optimizers.nlopt_optimizers",
"optimagic.optimizers.ipopt",
"optimagic.optimizers.fides",
"optimagic.optimizers.pounders",
"optimagic.optimizers.tao_optimizers",
"optimagic.parameters",
"optimagic.parameters.block_trees",
"optimagic.parameters.check_constraints",
"optimagic.parameters.consolidate_constraints",
"optimagic.parameters.constraint_tools",
"optimagic.parameters.conversion",
"optimagic.parameters.kernel_transformations",
"optimagic.parameters.nonlinear_constraints",
"optimagic.parameters.process_constraints",
"optimagic.parameters.process_selectors",
"optimagic.parameters.space_conversion",
"optimagic.parameters.tree_conversion",
"optimagic.parameters.tree_registry",
"optimagic.shared",
"optimagic.shared.check_option_dicts",
"optimagic.shared.compat",
"optimagic.shared.process_user_function",
"optimagic.visualization",
"optimagic.visualization.convergence_plot",
"optimagic.visualization.deviation_plot",
"optimagic.visualization.history_plots",
"optimagic.visualization.plotting_utilities",
"optimagic.visualization.profile_plot",
"optimagic.visualization.slice_plot",
"optimagic",
"optimagic.decorators",
"optimagic.exceptions",
"optimagic.utilities",
"optimagic.deprecations",
"estimagic",
"estimagic.examples",
"estimagic.examples.logit",
"estimagic.estimate_ml",
"estimagic.estimate_msm",
"estimagic.estimation_summaries",
"estimagic.msm_weighting",
"estimagic.bootstrap_ci",
"estimagic.bootstrap_helpers",
"estimagic.bootstrap_outcomes",
"estimagic.bootstrap_samples",
"estimagic.bootstrap",
"estimagic.ml_covs",
"estimagic.msm_covs",
"estimagic.shared_covs",
"estimagic.msm_sensitivity",
"estimagic.estimation_table",
"estimagic.lollipop_plot",
]
check_untyped_defs = false
disallow_any_generics = false
disallow_untyped_defs = false
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
ignore_errors = true
[[tool.mypy.overrides]]
module = [
"pybaum",
"scipy",
"scipy.linalg",
"scipy.linalg.lapack",
"scipy.stats",
"scipy.optimize",
"scipy.ndimage",
"scipy.optimize._trustregion_exact",
"plotly",
"plotly.graph_objects",
"plotly.express",
"plotly.subplots",
"cyipopt",
"nlopt",
"bokeh",
"bokeh.layouts",
"bokeh.models",
"bokeh.plotting",
"bokeh.application",
"bokeh.application.handlers",
"bokeh.application.handlers.function",
"bokeh.server",
"bokeh.server.server",
"bokeh.command",
"bokeh.command.util",
"fides",
"petsc4py",
"petsc4py.PETSc",
"tranquilo",
"tranquilo.tranquilo",
"tranquilo.options",
"tranquilo.process_arguments",
"dfols",
"pybobyqa",
"pygmo",
"jax",
"joblib",
"cloudpickle",
"numba",
"pathos",
"pathos.pools",
"optimagic._version",
"annotated_types",
"pdbp",
]
ignore_missing_imports = true