[build-system]
requires = [
    # setuptools 61+ required for pyproject.toml support
    "setuptools>=61",
]
build-backend = "setuptools.build_meta"

# https://packaging.python.org/en/latest/specifications/declaring-project-metadata/
[project]
name = "torchgeo"
description = "TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data"
readme = "README.md"
requires-python = ">=3.10"
license = {file = "LICENSE"}
authors = [
    {name = "Adam J. Stewart", email = "ajstewart426@gmail.com"},
]
maintainers = [
    {name = "Adam J. Stewart", email = "ajstewart426@gmail.com"},
    {name = "Caleb Robinson", email = "Caleb.Robinson@microsoft.com"},
    {name = "Isaac Corley", email = "isaac.corley@my.utsa.edu"},
    {name = "Nils Lehmann", email = "n.lehmann@tum.de"},
    {name = "Ashwin Nair", email = "ashnair0007@gmail.com"},
]
keywords = ["pytorch", "deep learning", "machine learning", "remote sensing", "satellite imagery", "earth observation", "geospatial"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: GIS",
]
dependencies = [
    # einops 0.3+ required for einops.repeat
    "einops>=0.3",
    # fiona 1.8.21+ required for Python 3.10 wheels
    "fiona>=1.8.21",
    # kornia 0.7.3+ required for instance segmentation support in AugmentationSequential
    "kornia>=0.7.3",
    # lightly 1.4.5+ required for LARS optimizer
    # lightly 1.4.26 is incompatible with the version of timm required by smp
    # https://github.com/microsoft/torchgeo/issues/1824
    "lightly>=1.4.5,!=1.4.26",
    # lightning 2+ required for LightningCLI args + sys.argv support
    # lightning 2.3 contains known bugs related to YAML parsing
    # https://github.com/Lightning-AI/pytorch-lightning/issues/19977
    "lightning[pytorch-extra]>=2,!=2.3.*",
    # matplotlib 3.5+ required for Python 3.10 wheels
    "matplotlib>=3.5",
    # numpy 1.21.2+ required by Python 3.10 wheels
    "numpy>=1.21.2",
    # pandas 1.3.3+ required for Python 3.10 wheels
    "pandas>=1.3.3",
    # pillow 8.4+ required for Python 3.10 wheels
    "pillow>=8.4",
    # pyproj 3.3+ required for Python 3.10 wheels
    "pyproj>=3.3",
    # rasterio 1.3+ required for Python 3.10 wheels
    "rasterio>=1.3",
    # rtree 1+ required for Python 3.10 wheels
    "rtree>=1",
    # segmentation-models-pytorch 0.2+ required for smp.losses module
    "segmentation-models-pytorch>=0.2",
    # shapely 1.8+ required for Python 3.10 wheels
    "shapely>=1.8",
    # timm 0.4.12 required by segmentation-models-pytorch
    "timm>=0.4.12",
    # torch 1.13+ required by torchvision
    "torch>=1.13",
    # torchmetrics 0.10+ required for binary/multiclass/multilabel classification metrics
    "torchmetrics>=0.10",
    # torchvision 0.14+ required for torchvision.models.swin_v2_b
    "torchvision>=0.14",
]
dynamic = ["version"]

[project.optional-dependencies]
datasets = [
    # h5py 3.6+ required for Python 3.10 wheels
    "h5py>=3.6",
    # laspy 2+ required for laspy.read
    "laspy>=2",
    # opencv-python 4.5.4+ required for Python 3.10 wheels
    "opencv-python>=4.5.4",
    # pycocotools 2.0.7+ required for wheels
    "pycocotools>=2.0.7",
    # pyvista 0.34.2+ required to avoid ImportError in CI
    "pyvista>=0.34.2",
    # scikit-image 0.19+ required for Python 3.10 wheels
    "scikit-image>=0.19",
    # scipy 1.7.2+ required for Python 3.10 wheels
    "scipy>=1.7.2",
]
docs = [
    # ipywidgets 7+ required by nbsphinx
    "ipywidgets>=7",
    # nbsphinx 0.8.5 fixes bug with nbformat attributes
    "nbsphinx>=0.8.5",
    # release versions missing files, must install from master
    "pytorch-sphinx-theme",
    # sphinx 4+ required for autodoc_typehints_description_target
    # sphinx 6+ is incompatible with pytorch-sphinx-theme
    # https://github.com/pytorch/pytorch_sphinx_theme/issues/175
    "sphinx>=4,<6",
]
style = [
    # mypy 0.900+ required for pyproject.toml support
    "mypy>=0.900",
    # ruff 0.2+ required for [ruff.lint]
    "ruff>=0.2",
]
tests = [
    # nbmake 1.3.3+ required for variable mocking
    "nbmake>=1.3.3",
    # pytest 7.3+ required for tmp_path_retention_policy
    "pytest>=7.3",
    # pytest-cov 4+ required for pytest 7.2+ compatibility
    "pytest-cov>=4",
]
all = [
    "torchgeo[datasets,docs,style,tests]",
]

[project.scripts]
torchgeo = "torchgeo.main:main"

[project.urls]
Homepage = "https://github.com/microsoft/torchgeo"
Documentation = "https://torchgeo.readthedocs.io"

# https://coverage.readthedocs.io/en/latest/config.html
[tool.coverage.report]
# Ignore warnings for overloads
# https://github.com/nedbat/coveragepy/issues/970#issuecomment-612602180
exclude_also = [
    "@overload",
]
show_missing = true

[tool.coverage.run]
source_pkgs = ["torchgeo"]

# https://mypy.readthedocs.io/en/stable/config_file.html
[tool.mypy]
# Import discovery
ignore_missing_imports = true
exclude = "(build|data|dist|docs/.*|images|logo|.*logs|output|requirements)/"

# Disallow dynamic typing (TODO: work in progress)
disallow_any_unimported = false
disallow_any_expr = false
disallow_any_decorated = false
disallow_any_explicit = false
disallow_any_generics = true
disallow_subclassing_any = true

# Untyped definitions and calls
disallow_untyped_calls = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
disallow_untyped_decorators = true

# Configuring warnings
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
warn_return_any = true
warn_unreachable = true

# Miscellaneous strictness flags
strict_equality = true
strict = true

# Configuring error messages
pretty = true

# Miscellaneous
warn_unused_configs = true

[tool.pytest.ini_options]
# Skip slow tests by default
addopts = "-m 'not slow'"
# https://docs.pytest.org/en/latest/how-to/capture-warnings.html
filterwarnings = [
    # Warnings raised by dependencies of dependencies, out of our control
    # https://github.com/Cadene/pretrained-models.pytorch/issues/221
    "ignore:.* is deprecated and will be removed in Pillow 10:DeprecationWarning:pretrainedmodels.datasets.utils",
    # https://github.com/pytorch/vision/pull/5898
    "ignore:.* is deprecated and will be removed in Pillow 10:DeprecationWarning:torchvision.transforms.functional_pil",
    "ignore:.* is deprecated and will be removed in Pillow 10:DeprecationWarning:torchvision.transforms._functional_pil",
    # https://github.com/huggingface/pytorch-image-models/pull/1256
    "ignore:.* is deprecated and will be removed in Pillow 10:DeprecationWarning:timm.data",
    # https://github.com/pytorch/pytorch/issues/72906
    # https://github.com/pytorch/pytorch/pull/69823
    "ignore:distutils Version classes are deprecated. Use packaging.version instead:DeprecationWarning",
    "ignore:The distutils package is deprecated and slated for removal in Python 3.12:DeprecationWarning:torch.utils.tensorboard",
    # https://github.com/Lightning-AI/torchmetrics/issues/2121
    # https://github.com/Lightning-AI/torchmetrics/pull/2137
    "ignore:The distutils package is deprecated and slated for removal in Python 3.12:DeprecationWarning:torchmetrics.utilities.imports",
    # https://github.com/Lightning-AI/lightning/issues/13256
    # https://github.com/Lightning-AI/lightning/pull/13261
    "ignore:torch.distributed._sharded_tensor will be deprecated:DeprecationWarning:torch.distributed._sharded_tensor",
    # https://github.com/Lightning-AI/lightning/issues/13989
    "ignore:SelectableGroups dict interface is deprecated. Use select.:DeprecationWarning:lightning.pytorch.trainer.connectors.callback_connector",
    # https://github.com/Lightning-AI/lightning/issues/14594
    "ignore:To copy construct from a tensor, it is recommended to use:UserWarning:lightning.pytorch.core.module",
    # https://github.com/rasterio/rasterio/issues/1742
    # https://github.com/rasterio/rasterio/pull/1753
    "ignore:Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated:DeprecationWarning:rasterio.crs",
    # https://github.com/pytorch/pytorch/issues/60053
    # https://github.com/pytorch/pytorch/pull/60059
    "ignore:Named tensors and all their associated APIs are an experimental feature and subject to change:UserWarning:torch.nn.functional",
    # https://github.com/tensorflow/tensorboard/issues/5798
    "ignore:Call to deprecated create function:DeprecationWarning:tensorboard.compat.proto",
    # https://github.com/treebeardtech/nbmake/issues/68
    'ignore:The \(fspath. py.path.local\) argument to NotebookFile is deprecated:pytest.PytestDeprecationWarning:nbmake.pytest_plugin',
    # https://github.com/pytorch/pytorch/pull/24929
    "ignore:Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0:UserWarning:torch.nn.functional",
    # https://github.com/scikit-image/scikit-image/issues/6663
    # https://github.com/scikit-image/scikit-image/pull/6637
    "ignore:`np.bool8` is a deprecated alias for `np.bool_`.:DeprecationWarning:skimage.util.dtype",
    # https://github.com/lanpa/tensorboardX/pull/677
    "ignore:ANTIALIAS is deprecated and will be removed in Pillow 10:DeprecationWarning:tensorboardX.summary",
    # https://github.com/Lightning-AI/lightning/issues/16756
    "ignore:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning",
    "ignore:pkg_resources is deprecated as an API.:DeprecationWarning:lightning_utilities.core.imports",
    "ignore:Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated:DeprecationWarning:jsonargparse",
    "ignore:`ModuleAvailableCache` is a special case of `RequirementCache`.:DeprecationWarning:lightning.fabric.plugins.environments.xla",
    # https://github.com/pytorch/pytorch/issues/110549
    "ignore:allow_ops_in_compiled_graph failed to import torch:ImportWarning:einops",
    # https://github.com/rr-/docstring_parser/pull/82
    "ignore:ast.* is deprecated and will be removed in Python 3.14:DeprecationWarning:docstring_parser.attrdoc",
    # https://github.com/python/cpython/pull/102953
    "ignore:Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata:DeprecationWarning:torchgeo.datasets.utils",
    "ignore:Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata:DeprecationWarning:torchgeo.datasets.digital_typhoon",
    "ignore:Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata:DeprecationWarning:torchvision.datasets.utils",
    # https://github.com/kornia/kornia/pull/2967
    "ignore:`torch.cuda.amp.custom_fwd\\(args...\\)` is deprecated.:FutureWarning:kornia.feature.lightglue",
    # https://github.com/kornia/kornia/pull/2981
    "ignore:torch.is_autocast_cpu_enabled\\(\\) is deprecated.:DeprecationWarning:kornia.utils.helpers",
    # https://github.com/pytorch/pytorch/pull/129239
    "ignore:You are using `torch.load` with `weights_only=False`:FutureWarning",

    # Expected warnings
    # Lightning warns us about using num_workers=0, but it's faster on macOS
    "ignore:The .*dataloader.* does not have many workers which may be a bottleneck:UserWarning:lightning",
    "ignore:The .*dataloader.* does not have many workers which may be a bottleneck:lightning.fabric.utilities.warnings.PossibleUserWarning:lightning",
    # Lightning warns us about using the CPU when GPU/MPS is available
    "ignore:GPU available but not used.:UserWarning",
    "ignore:MPS available but not used.:UserWarning",
    # Lightning warns us if TensorBoard is not installed
    "ignore:Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `lightning.pytorch` package:UserWarning",
    # https://github.com/Lightning-AI/lightning/issues/18545
    "ignore:LightningCLI's args parameter is intended to run from within Python like if it were from the command line.:UserWarning",
    # https://github.com/kornia/kornia/pull/1663
    "ignore:`RandomGaussianBlur` has changed its behavior and now randomly sample sigma for both axes.:DeprecationWarning",
    # https://github.com/pytorch/pytorch/pull/111576
    "ignore:Skipping device Apple Paravirtual device that does not support Metal 2.0:UserWarning",

    # Unexpected warnings, worth investigating
    # https://github.com/pytest-dev/pytest/issues/11461
    "ignore::pytest.PytestUnraisableExceptionWarning",
]
markers = [
    "slow: marks tests as slow",
]
norecursedirs = [
    ".ipynb_checkpoints",
    "data",
    "__pycache__",
]
testpaths = [
    "tests",
    "docs/tutorials",
]
tmp_path_retention_policy = "failed"

# https://docs.astral.sh/ruff/settings/
[tool.ruff]
extend-include = ["*.ipynb"]
fix = true

[tool.ruff.format]
quote-style = "single"
skip-magic-trailing-comma = true

[tool.ruff.lint]
extend-select = ["ANN", "D", "I", "RUF", "UP"]
ignore = ["ANN101", "ANN102", "ANN401"]

[tool.ruff.lint.per-file-ignores]
"docs/**" = ["ANN", "D"]
"experiments/**" = ["D"]
"tests/**" = ["D"]

[tool.ruff.lint.isort]
split-on-trailing-comma = false

[tool.ruff.lint.pydocstyle]
convention = "google"

# https://setuptools.pypa.io/en/latest/userguide/pyproject_config.html
[tool.setuptools.dynamic]
version = {attr = "torchgeo.__version__"}

[tool.setuptools.package-data]
torchgeo = ["py.typed"]

[tool.setuptools.packages.find]
include = ["torchgeo*"]