


from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters







def 	SCREAMING_SNAKE_CASE_						(      )     ->		Any:

       """simple docstring"""

       a_ :		Dict							=  {
           '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],
       }
       a_ :		Optional[int]							=  Dataset.from_dict(__A    )
       return dataset
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					)		->      int:
             a_ :		str							=  get_dataset()
             a_ :		List[Any]							=  make_duplicate_clusters(SCREAMING_SNAKE_CASE__					,							0.85					)
             self.assertEqual(len(duplicate_clusters[0]					)					,							2					)

      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					)		->      List[Any]:
             a_ :		Optional[Any]							=  get_dataset()
             a_							,		a_ :		str							=  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__					)






from typing import TYPE_CHECKING

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


UpperCAmelCase_				:			Optional[Any]   =	{'configuration_plbart': ['PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PLBartConfig']}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			Union[str, Any]   =	['PLBartTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			List[str]   =	[
       'PLBART_PRETRAINED_MODEL_ARCHIVE_LIST',
       'PLBartForCausalLM',
       'PLBartForConditionalGeneration',
       'PLBartForSequenceClassification',
       'PLBartModel',
       'PLBartPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_plbart import PLBartTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_plbart import (
          PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
          PLBartForCausalLM,
          PLBartForConditionalGeneration,
          PLBartForSequenceClassification,
          PLBartModel,
          PLBartPreTrainedModel,
      )


else:
   import sys

   UpperCAmelCase_				:			Union[str, Any]   =	_LazyModule(__name__, globals()['__file__'], _import_structure)


