




from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters




def 		lowerCAmelCase_ (						):
				__magic_name__						:						List[str]										={
				    """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],
				}
				__magic_name__						:						List[Any]										=Dataset.from_dict(lowerCamelCase )
				return dataset




class 		__A   (      UpperCamelCase__      ):

						def      A__    (		self :List[str]			):
										'''simple docstring'''

										__magic_name__						:						List[Any]										=get_dataset()
										__magic_name__						:						List[str]										=make_duplicate_clusters(__snake_case     ,			0.85			)
										self.assertEqual(len(duplicate_clusters[0]			)     ,			2			)


						def      A__    (		self :Dict			):
										'''simple docstring'''

										__magic_name__						:						Dict										=get_dataset()
										__magic_name__					,			__magic_name__						:						List[str]										=deduplicate_dataset(__snake_case			)
										self.assertEqual(len(__snake_case			)     ,			2			)
										print(__snake_case			)
										self.assertEqual(duplicate_clusters[0][0]["""copies"""]     ,			2			)
										self.assertEqual(duplicate_clusters[0][0]["""is_extreme"""]     ,			__snake_case			)











"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase     :						Optional[Any]						       =  logging.get_logger(__name__)

__UpperCamelCase     :						List[Any]						       =  {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}







class       a							(   a__  ):
 snake_case__             =       '''megatron-bert'''



 def __init__(     self				,       _snake_case=2_90_56				,       _snake_case=10_24				,       _snake_case=24				,       _snake_case=16				,       _snake_case=40_96				,       _snake_case="gelu"				,       _snake_case=0.1				,       _snake_case=0.1				,       _snake_case=5_12				,       _snake_case=2				,       _snake_case=0.02				,       _snake_case=1E-12				,       _snake_case=0				,       _snake_case="absolute"				,       _snake_case=True				,       **_snake_case				,       ):







  """simple docstring"""






  super().__init__(pad_token_id=_snake_case				,       **_snake_case     )

  lowerCAmelCase    				= vocab_size
  lowerCAmelCase    				= hidden_size
  lowerCAmelCase    				= num_hidden_layers
  lowerCAmelCase    				= num_attention_heads
  lowerCAmelCase    				= hidden_act
  lowerCAmelCase    				= intermediate_size
  lowerCAmelCase    				= hidden_dropout_prob
  lowerCAmelCase    				= attention_probs_dropout_prob
  lowerCAmelCase    				= max_position_embeddings
  lowerCAmelCase    				= type_vocab_size
  lowerCAmelCase    				= initializer_range
  lowerCAmelCase    				= layer_norm_eps
  lowerCAmelCase    				= position_embedding_type
  lowerCAmelCase    				= use_cache





