



"""simple docstring"""







from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters

def     UpperCamelCase_   (   )						->       Optional[int]:

  """simple docstring"""




  lowerCAmelCase_       :    Tuple								=			{
      'repo_name': ['test_repo1', 'test_repo2', 'test_repo3'],
      'path': ['test_1.py', 'test_2.py', 'unit_test.py'],
      'content': ['a ' * 20, 'a ' * 30, 'b ' * 7],
  }
  lowerCAmelCase_       :    Dict								=			Dataset.from_dict(lowerCAmelCase__						)
  return dataset







class 				UpperCamelCase__       (     lowercase_  ):




      """simple docstring"""




      def 					SCREAMING_SNAKE_CASE__			(				self    :				str	):
        lowerCAmelCase_       :    List[str]								=			get_dataset()
        lowerCAmelCase_       :    str								=			make_duplicate_clusters(SCREAMING_SNAKE_CASE_   ,      0.85	)
        self.assertEqual(len(duplicate_clusters[0]	)   ,      2	)





      def 					SCREAMING_SNAKE_CASE__			(				self    :				List[str]	):
        lowerCAmelCase_       :    str								=			get_dataset()
        lowerCAmelCase_       :    Union[str, Any]								=			deduplicate_dataset(SCREAMING_SNAKE_CASE_	)
        self.assertEqual(len(SCREAMING_SNAKE_CASE_	)   ,      2	)
        print(SCREAMING_SNAKE_CASE_	)
        self.assertEqual(duplicate_clusters[0][0]['copies']   ,      2	)
        self.assertEqual(duplicate_clusters[0][0]['is_extreme']   ,      SCREAMING_SNAKE_CASE_	)










"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowercase__		:    Optional[int]				   =     {
    """configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TrOCRConfig"""],
    """processing_trocr""": ["""TrOCRProcessor"""],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowercase__		:    Dict				   =     [
         """TROCR_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TrOCRForCausalLM""",
         """TrOCRPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
     from .processing_trocr import TrOCRProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
     import sys

     lowercase__		:    int				   =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





