88 lines
1.9 KiB
Nix
88 lines
1.9 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, pythonOlder
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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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, setuptools
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# test dependencies
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, pytestCheckHook
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, pytest-lazy-fixture
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, tensorflow
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, torch
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, datasets
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, torchvision
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, keras
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, fasttext
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, hypothesis
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, wget
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, matplotlib
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, skorch
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}:
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buildPythonPackage rec {
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pname = "cleanlab";
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version = "2.6.1";
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pyproject = true;
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disabled = pythonOlder "3.7";
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src = fetchFromGitHub {
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owner = "cleanlab";
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repo = pname;
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rev = "refs/tags/v${version}";
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hash = "sha256-+uJtm/t6Ri25V/9N/2fcOgCOBaBy8PrsM/tO1uX7FEY=";
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};
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nativeBuildInputs = [ setuptools ];
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propagatedBuildInputs = [
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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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pytestCheckHook
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pytest-lazy-fixture
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tensorflow
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torch
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datasets
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torchvision
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keras
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fasttext
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hypothesis
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wget
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matplotlib
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skorch
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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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];
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meta = with lib; {
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description = "The 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 = licenses.agpl3Only;
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maintainers = with maintainers; [ happysalada ];
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};
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}
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