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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
pythonAtLeast,
# build-system
setuptools,
# dependencies
fsspec,
imagehash,
matplotlib,
numpy,
pandas,
pillow,
tabulate,
tqdm,
# tests
datasets,
psutil,
pytestCheckHook,
torchvision,
writableTmpDirAsHomeHook,
}:
buildPythonPackage (finalAttrs: {
pname = "cleanvision";
version = "0.3.7";
pyproject = true;
src = fetchFromGitHub {
owner = "cleanlab";
repo = "cleanvision";
tag = "v${finalAttrs.version}";
hash = "sha256-L28HfvUzpZyKuG5wp3fTTHJN4Tq0HtZM+s9/7onMTDM=";
};
build-system = [ setuptools ];
dependencies = [
fsspec
imagehash
matplotlib
numpy
pandas
pillow
tabulate
tqdm
];
pythonImportsCheck = [ "cleanvision" ];
nativeCheckInputs = [
datasets
psutil
pytestCheckHook
torchvision
writableTmpDirAsHomeHook
];
disabledTests = [
# Requires accessing s3 (online)
"test_s3_dataset"
]
++ lib.optionals (pythonAtLeast "3.14") [
# TypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given
"test_build_hf_dataset"
"test_hf_dataset_run"
"test_visualize_indices_hf"
"test_visualize_sample_images_hf_dataset"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# RuntimeError: *** -[__NSPlaceholderArray initWithObjects:count:]: attempt to insert nil object from objects[1]
"test_image_sets"
"test_imagelab_run"
"test_individual_images"
];
meta = {
description = "Automatically find issues in image datasets and practice data-centric computer vision";
homepage = "https://github.com/cleanlab/cleanvision";
changelog = "https://github.com/cleanlab/cleanvision/releases/tag/${finalAttrs.src.tag}";
license = lib.licenses.agpl3Only;
maintainers = with lib.maintainers; [ GaetanLepage ];
};
})
|
