98 lines
2 KiB
Nix
98 lines
2 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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setuptools,
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# dependencies
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numpy,
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scikit-learn,
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termcolor,
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tqdm,
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pandas,
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# test dependencies
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cleanvision,
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datasets,
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fasttext,
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hypothesis,
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keras,
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matplotlib,
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pytestCheckHook,
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pytest-lazy-fixture,
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skorch,
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tensorflow,
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torch,
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torchvision,
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wget,
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}:
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buildPythonPackage rec {
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pname = "cleanlab";
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version = "2.7.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "cleanlab";
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repo = "cleanlab";
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rev = "refs/tags/v${version}";
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hash = "sha256-0kCEIHNOXIkdwDH5zCVWnR/W79ppc/1PFsJ/a4goGzk=";
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};
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build-system = [ setuptools ];
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dependencies = [
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numpy
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scikit-learn
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termcolor
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tqdm
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pandas
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];
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# This is ONLY turned off when we have testing enabled.
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# The reason we do this is because of duplicate packages in the enclosure
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# when using the packages in nativeCheckInputs.
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# Affected packages: grpcio protobuf tensorboard tensorboard-plugin-profile
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catchConflicts = (!doCheck);
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doCheck = true;
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nativeCheckInputs = [
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cleanvision
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datasets
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fasttext
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hypothesis
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keras
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matplotlib
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pytestCheckHook
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pytest-lazy-fixture
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skorch
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tensorflow
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torch
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torchvision
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wget
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];
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disabledTests = [
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# Requires the datasets we prevent from downloading
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"test_create_imagelab"
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];
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disabledTestPaths = [
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# Requires internet
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"tests/test_dataset.py"
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# Requires the datasets we just prevented from downloading
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"tests/datalab/test_cleanvision_integration.py"
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# Fails because of issues with the keras derivation
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"tests/test_frameworks.py"
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];
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meta = {
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description = "Standard data-centric AI package for data quality and machine learning with messy, real-world data and labels";
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homepage = "https://github.com/cleanlab/cleanlab";
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changelog = "https://github.com/cleanlab/cleanlab/releases/tag/v${version}";
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license = lib.licenses.agpl3Only;
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maintainers = with lib.maintainers; [ happysalada ];
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};
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}
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