
"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a		       =							logging.get_logger(__name__)

_a		       =							{
    'facebook/deit-base-distilled-patch16-224': (
        'https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}


class A_	(lowercase__      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						Any       =		"""deit"""







  def __init__(		self				,   lowercase_=768				,   lowercase_=12				,   lowercase_=12				,   lowercase_=3072				,   lowercase_="gelu"				,   lowercase_=0.0				,   lowercase_=0.0				,   lowercase_=0.02				,   lowercase_=1E-1_2				,   lowercase_=224				,   lowercase_=16				,   lowercase_=3				,   lowercase_=True				,   lowercase_=16				,   **lowercase_				,   ):

     """simple docstring"""
     super().__init__(**lowercase_  )

     UpperCAmelCase_					:					int			     =    hidden_size
     UpperCAmelCase_					:					Dict			     =    num_hidden_layers
     UpperCAmelCase_					:					int			     =    num_attention_heads
     UpperCAmelCase_					:					List[str]			     =    intermediate_size
     UpperCAmelCase_					:					int			     =    hidden_act
     UpperCAmelCase_					:					List[Any]			     =    hidden_dropout_prob
     UpperCAmelCase_					:					List[Any]			     =    attention_probs_dropout_prob
     UpperCAmelCase_					:					int			     =    initializer_range
     UpperCAmelCase_					:					Dict			     =    layer_norm_eps
     UpperCAmelCase_					:					int			     =    image_size
     UpperCAmelCase_					:					int			     =    patch_size
     UpperCAmelCase_					:					List[str]			     =    num_channels
     UpperCAmelCase_					:					Optional[int]			     =    qkv_bias
     UpperCAmelCase_					:					Optional[int]			     =    encoder_stride




class A_	(lowercase__      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						Tuple       =		version.parse("""1.11"""      )







  @property
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]  )







  @property
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     return 1E-4




"""simple docstring"""





from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters







def 	__a     (		):
   UpperCAmelCase_					:					List[Any]			     =    {
       "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],
   }
   UpperCAmelCase_					:					Optional[int]			     =    Dataset.from_dict(__lowerCamelCase  )
   return dataset


class A_	(lowercase__      ):




  '''simple docstring'''







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    get_dataset()
     UpperCAmelCase_					:					Any			     =    make_duplicate_clusters(lowercase_				,   0.85  )
     self.assertEqual(len(duplicate_clusters[0]  )				,   2  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    get_dataset()
     UpperCAmelCase_     ,   UpperCAmelCase_					:					List[str]			     =    deduplicate_dataset(lowercase_  )
     self.assertEqual(len(lowercase_  )				,   2  )
     print(lowercase_  )
     self.assertEqual(duplicate_clusters[0][0]["copies"]				,   2  )
     self.assertEqual(duplicate_clusters[0][0]["is_extreme"]				,   lowercase_  )


