[metadata] name = monai author = MONAI Consortium author_email = monai.miccai2019@gmail.com url = https://monai.io/ description = AI Toolkit for Healthcare Imaging long_description = file:README.md long_description_content_type = text/markdown; charset=UTF-8 platforms = OS Independent license = Apache License 2.0 [options] python_requires = >= 3.6 setup_requires = torch>=1.4 ninja install_requires = torch>=1.4 numpy>=1.17 [options.extras_require] all = nibabel scikit-image>=0.14.2 pillow tensorboard pytorch-ignite==0.3.0 gdown>=3.6.4 torchvision itk nibabel = nibabel skimage = scikit-image>=0.14.2 pillow = pillow tensorboard = tensorboard gdown = gdown>=3.6.4 ignite = pytorch-ignite==0.3.0 torchvision = torchvision itk = itk [flake8] select = B,C,E,F,N,P,T4,W,B9 max-line-length = 120 # C408 ignored because we like the dict keyword argument syntax # E501 is not flexible enough, we're using B950 instead ignore = E203,E305,E402,E501,E721,E741,F403,F405,F821,F841,F999,W503,W504,C408,E302,W291,E303, # this ignore is from flake8-bugbear; please fix! B008, # see issue #727 # N812 lowercase 'torch.nn.functional' imported as non lowercase 'F' N812 per-file-ignores = __init__.py: F401 exclude = *.pyi,.git,.eggs,monai/_version.py,versioneer.py,venv,_version.py [isort] known_first_party = monai profile = black line_length = 120 skip = .git, .eggs, venv, versioneer.py, _version.py, conf.py skip_glob = *.pyi [versioneer] VCS = git style = pep440 versionfile_source = monai/_version.py versionfile_build = monai/_version.py tag_prefix = parentdir_prefix = [mypy] # Suppresses error messages about imports that cannot be resolved. ignore_missing_imports = True # Changes the treatment of arguments with a default value of None by not implicitly making their type Optional. no_implicit_optional = True # Warns about casting an expression to its inferred type. warn_redundant_casts = True # No error on unneeded # type: ignore comments. warn_unused_ignores = False # Shows a warning when returning a value with type Any from a function declared with a non-Any return type. warn_return_any = True # Prohibit equality checks, identity checks, and container checks between non-overlapping types. strict_equality = True # Shows column numbers in error messages. show_column_numbers = True # Shows error codes in error messages. show_error_codes = True # Use visually nicer output in error messages: use soft word wrap, show source code snippets, and show error location markers. pretty = False [mypy-versioneer] # Ignores all non-fatal errors. ignore_errors = True [mypy-monai._version] # Ignores all non-fatal errors. ignore_errors = True [mypy-monai.eggs] # Ignores all non-fatal errors. ignore_errors = True [pytype] # Space-separated list of files or directories to exclude. exclude = versioneer.py _version.py # Space-separated list of files or directories to process. inputs = monai # Keep going past errors to analyze as many files as possible. keep_going = True # Run N jobs in parallel. jobs = 8 # All pytype output goes here. output = .pytype # Paths to source code directories, separated by ':'. pythonpath = . # Check attribute values against their annotations. check_attribute_types = True # Check container mutations against their annotations. check_container_types = True # Check parameter defaults and assignments against their annotations. check_parameter_types = True # Check variable values against their annotations. check_variable_types = True # Comma or space separated list of error names to ignore. disable = pyi-error # Report errors. report_errors = True # Experimental: Infer precise return types even for invalid function calls. precise_return = True # Experimental: solve unknown types to label with structural types. protocols = True # Experimental: Only load submodules that are explicitly imported. strict_import = False