

"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a							=							logging.get_logger(__name__)

_a							=							{
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : Optional[Any]       		=     "canine"


 def __init__(      self							:      Union[str, Any], UpperCAmelCase__							:      Optional[int]=7_6_8, UpperCAmelCase__							:      Any=1_2, UpperCAmelCase__							:      int=1_2, UpperCAmelCase__							:      str=3_0_7_2, UpperCAmelCase__							:      List[str]="gelu", UpperCAmelCase__							:      Tuple=0.1, UpperCAmelCase__							:      int=0.1, UpperCAmelCase__							:      List[str]=1_6_3_8_4, UpperCAmelCase__							:      Optional[int]=1_6, UpperCAmelCase__							:      str=0.02, UpperCAmelCase__							:      Dict=1E-12, UpperCAmelCase__							:      Optional[Any]=0, UpperCAmelCase__							:      List[Any]=0XE_000, UpperCAmelCase__							:      Tuple=0XE_001, UpperCAmelCase__							:      Tuple=4, UpperCAmelCase__							:      List[Any]=4, UpperCAmelCase__							:      Dict=8, UpperCAmelCase__							:      int=1_6_3_8_4, UpperCAmelCase__							:      Dict=1_2_8, **UpperCAmelCase__							:      Union[str, Any], ):
    super().__init__(pad_token_id=UpperCAmelCase__, bos_token_id=UpperCAmelCase__, eos_token_id=UpperCAmelCase__, **UpperCAmelCase__     )

    __lowercase								=						max_position_embeddings
    __lowercase								=						hidden_size
    __lowercase								=						num_hidden_layers
    __lowercase								=						num_attention_heads
    __lowercase								=						intermediate_size
    __lowercase								=						hidden_act
    __lowercase								=						hidden_dropout_prob
    __lowercase								=						attention_probs_dropout_prob
    __lowercase								=						initializer_range
    __lowercase								=						type_vocab_size
    __lowercase								=						layer_norm_eps

    # Character config:
    __lowercase								=						downsampling_rate
    __lowercase								=						upsampling_kernel_size
    __lowercase								=						num_hash_functions
    __lowercase								=						num_hash_buckets
    __lowercase								=						local_transformer_stride







"""simple docstring"""





from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters




def   _A  (  )     ->						Dict:
   '''simple docstring'''


   __lowercase								=						{
       "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],
   }
   __lowercase								=						Dataset.from_dict(UpperCamelCase_)
   return dataset




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 def  _lowercase			(      self							:      int     ):
    __lowercase								=						get_dataset()
    __lowercase								=						make_duplicate_clusters(UpperCAmelCase__, 0.85     )
    self.assertEqual(len(duplicate_clusters[0]     ), 2     )



 def  _lowercase			(      self							:      Any     ):
    __lowercase								=						get_dataset()
    __lowercase		,__lowercase								=						deduplicate_dataset(UpperCAmelCase__     )
    self.assertEqual(len(UpperCAmelCase__     ), 2     )
    print(UpperCAmelCase__     )
    self.assertEqual(duplicate_clusters[0][0]["copies"], 2     )
    self.assertEqual(duplicate_clusters[0][0]["is_extreme"], UpperCAmelCase__     )




