105 lines
2.6 KiB
Nix
105 lines
2.6 KiB
Nix
{ buildPythonPackage
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, stdenv
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, fetchFromGitHub
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, boto3
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, cookiecutter
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, filelock
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, regex
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, requests
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, numpy
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, parameterized
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, protobuf
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, sacremoses
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, timeout-decorator
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, tokenizers
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, tqdm
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, pytestCheckHook
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}:
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buildPythonPackage rec {
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pname = "transformers";
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version = "4.0.0";
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src = fetchFromGitHub {
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owner = "huggingface";
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repo = pname;
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rev = "v${version}";
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sha256 = "17djq32pq8d6vqip7i9pda0ldigmzckbbcd278llmpxdriqd4llg";
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};
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propagatedBuildInputs = [
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cookiecutter
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filelock
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numpy
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protobuf
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regex
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requests
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sacremoses
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tokenizers
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tqdm
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];
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checkInputs = [
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parameterized
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pytestCheckHook
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timeout-decorator
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];
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postPatch = ''
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substituteInPlace setup.py \
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--replace "tokenizers == 0.9.4" "tokenizers"
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'';
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preCheck = ''
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export HOME="$TMPDIR"
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# This test requires the `datasets` module to download test
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# data. However, since we cannot download in the Nix sandbox
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# and `dataset` is an optional dependency for transformers
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# itself, we will just remove the tests files that import
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# `dataset`.
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rm tests/test_retrieval_rag.py
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rm tests/test_trainer.py
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'';
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# We have to run from the main directory for the tests. However,
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# letting pytest discover tests leads to errors.
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pytestFlagsArray = [ "tests" ];
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# Disable tests that require network access.
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disabledTests = [
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"BlenderbotSmallTokenizerTest"
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"Blenderbot3BTokenizerTests"
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"GetFromCacheTests"
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"TokenizationTest"
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"TestTokenizationBart"
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"test_all_tokenizers"
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"test_batch_encoding_is_fast"
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"test_batch_encoding_pickle"
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"test_batch_encoding_word_to_tokens"
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"test_config_from_model_shortcut"
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"test_config_model_type_from_model_identifier"
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"test_from_pretrained_use_fast_toggle"
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"test_hf_api"
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"test_outputs_can_be_shorter"
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"test_outputs_not_longer_than_maxlen"
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"test_padding_accepts_tensors"
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"test_pretokenized_tokenizers"
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"test_tokenizer_equivalence_en_de"
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"test_tokenizer_from_model_type"
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"test_tokenizer_from_model_type"
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"test_tokenizer_from_pretrained"
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"test_tokenizer_from_tokenizer_class"
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"test_tokenizer_identifier_with_correct_config"
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"test_tokenizer_identifier_non_existent"
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];
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meta = with stdenv.lib; {
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homepage = "https://github.com/huggingface/transformers";
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description = "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch";
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changelog = "https://github.com/huggingface/transformers/releases/tag/v${version}";
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license = licenses.asl20;
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platforms = platforms.unix;
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maintainers = with maintainers; [ danieldk pashashocky ];
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};
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}
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