5e7c2d6cef
GitOrigin-RevId: f99e5f03cc0aa231ab5950a15ed02afec45ed51a
180 lines
4.5 KiB
Nix
180 lines
4.5 KiB
Nix
{ apache-beam
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, array-record
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, attrs
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, beautifulsoup4
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, buildPythonPackage
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, click
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, datasets
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, dill
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, dm-tree
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, fetchFromGitHub
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, ffmpeg
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, future
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, imagemagick
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, importlib-resources
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, jax
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, jaxlib
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, jinja2
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, langdetect
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, lib
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, lxml
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, matplotlib
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, mwparserfromhell
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, mwxml
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, networkx
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, nltk
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, numpy
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, opencv4
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, pandas
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, pillow
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, promise
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, protobuf
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, psutil
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, pycocotools
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, pydub
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, pytest-xdist
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, pytestCheckHook
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, requests
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, scikit-image
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, scipy
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, six
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, tensorflow
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, tensorflow-metadata
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, termcolor
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, tifffile
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, tqdm
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, zarr
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}:
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buildPythonPackage rec {
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pname = "tensorflow-datasets";
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version = "4.9.3";
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "datasets";
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rev = "refs/tags/v${version}";
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hash = "sha256-ZXCcXChrWqs0FAK5Fe8cD+MuJpWa9Dwo/ny5fOX2lKU=";
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};
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patches = [
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# addresses https://github.com/tensorflow/datasets/issues/3673
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./corruptions.patch
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];
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propagatedBuildInputs = [
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array-record
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attrs
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dill
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dm-tree
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future
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importlib-resources
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numpy
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promise
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protobuf
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psutil
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requests
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six
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tensorflow-metadata
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termcolor
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tqdm
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];
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pythonImportsCheck = [
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"tensorflow_datasets"
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];
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nativeCheckInputs = [
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apache-beam
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beautifulsoup4
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click
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datasets
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ffmpeg
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imagemagick
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jax
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jaxlib
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jinja2
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langdetect
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lxml
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matplotlib
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mwparserfromhell
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mwxml
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networkx
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nltk
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opencv4
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pandas
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pillow
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pycocotools
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pydub
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pytest-xdist
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pytestCheckHook
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scikit-image
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scipy
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tensorflow
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tifffile
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zarr
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];
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disabledTestPaths = [
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# Sandbox violations: network access, filesystem write attempts outside of build dir, ...
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"tensorflow_datasets/core/dataset_builder_test.py"
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"tensorflow_datasets/core/dataset_info_test.py"
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"tensorflow_datasets/core/features/features_test.py"
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"tensorflow_datasets/core/github_api/github_path_test.py"
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"tensorflow_datasets/core/registered_test.py"
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"tensorflow_datasets/core/utils/gcs_utils_test.py"
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"tensorflow_datasets/import_without_tf_test.py"
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"tensorflow_datasets/proto/build_tf_proto_test.py"
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"tensorflow_datasets/scripts/cli/build_test.py"
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# Requires `pretty_midi` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/audio/groove.py"
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"tensorflow_datasets/datasets/groove/groove_dataset_builder_test.py"
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# Requires `crepe` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/audio/nsynth.py"
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"tensorflow_datasets/datasets/nsynth/nsynth_dataset_builder_test.py"
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# Requires `conllu` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/core/dataset_builders/conll/conllu_dataset_builder_test.py"
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"tensorflow_datasets/datasets/universal_dependencies/universal_dependencies_dataset_builder_test.py"
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"tensorflow_datasets/datasets/xtreme_pos/xtreme_pos_dataset_builder_test.py"
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# Requires `gcld3` and `pretty_midi` which are not packaged in `nixpkgs`.
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"tensorflow_datasets/core/lazy_imports_lib_test.py"
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# Requires `tensorflow_io` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/core/features/audio_feature_test.py"
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"tensorflow_datasets/image/lsun_test.py"
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# Requires `envlogger` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/rlds/locomotion/locomotion_test.py"
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"tensorflow_datasets/rlds/robosuite_panda_pick_place_can/robosuite_panda_pick_place_can_test.py"
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# Fails with `TypeError: Constant constructor takes either 0 or 2 positional arguments`
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# deep in TF AutoGraph. Doesn't reproduce in Docker with Ubuntu 22.04 => might be related
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# to the differences in some of the dependencies?
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"tensorflow_datasets/rl_unplugged/rlu_atari/rlu_atari_test.py"
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# Fails with `ValueError: setting an array element with a sequence`
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"tensorflow_datasets/core/dataset_utils_test.py"
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"tensorflow_datasets/core/features/sequence_feature_test.py"
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# Requires `tensorflow_docs` which is not packaged in `nixpkgs` and the test is for documentation anyway.
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"tensorflow_datasets/scripts/documentation/build_api_docs_test.py"
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# Not a test, should not be executed.
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"tensorflow_datasets/testing/test_utils.py"
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# Require `gcld3` and `nltk.punkt` which are not packaged in `nixpkgs`.
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"tensorflow_datasets/text/c4_test.py"
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"tensorflow_datasets/text/c4_utils_test.py"
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];
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meta = with lib; {
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description = "Library of datasets ready to use with TensorFlow";
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homepage = "https://www.tensorflow.org/datasets/overview";
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license = licenses.asl20;
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maintainers = with maintainers; [ ndl ];
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};
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}
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