






"""simple docstring"""


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


_UpperCamelCase							:       int       					=		logging.get_logger(__name__)

_UpperCamelCase							:       List[Any]       					=		{
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}






class 		snake_case    (    _snake_case			):
    __magic_name__       	=	"qdqbert"





    def __init__(				self      :   Dict							,						A      :   Union[str, Any]=3_0_5_2_2							,						A      :   int=7_6_8							,						A      :   Dict=1_2							,						A      :   List[Any]=1_2							,						A      :   Tuple=3_0_7_2							,						A      :   Optional[Any]="gelu"							,						A      :   Optional[Any]=0.1							,						A      :   List[str]=0.1							,						A      :   Tuple=5_1_2							,						A      :   int=2							,						A      :   Union[str, Any]=0.02							,						A      :   Any=1E-12							,						A      :   Optional[Any]=True							,						A      :   Optional[int]=1							,						A      :   Union[str, Any]=0							,						A      :   Tuple=2							,						**A      :   str							,						):


      '''simple docstring'''




      super().__init__(pad_token_id=_lowercase							,						bos_token_id=_lowercase							,						eos_token_id=_lowercase							,						**_lowercase     )

      a	:     Optional[int]							=  vocab_size
      a	:     int							=  max_position_embeddings
      a	:     Dict							=  hidden_size
      a	:     Dict							=  num_hidden_layers
      a	:     Dict							=  num_attention_heads
      a	:     int							=  intermediate_size
      a	:     List[Any]							=  hidden_act
      a	:     str							=  hidden_dropout_prob
      a	:     Optional[Any]							=  attention_probs_dropout_prob
      a	:     Union[str, Any]							=  initializer_range
      a	:     Optional[int]							=  type_vocab_size
      a	:     Union[str, Any]							=  layer_norm_eps
      a	:     List[str]							=  use_cache









import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info







def 							A     (						__UpperCAmelCase      )			->			Dict:



						'''simple docstring'''






						class 				a_    :

												def __init__(       self      :Optional[int]  ,		_lowercase      :Any)						->   None:
																		assert isinstance(_lowercase  ,		(bytes, str))
																		UpperCAmelCase_					=	content




												def       __a			(       self      :List[str])						->   Tuple:
																		return json.loads(self.content)

						def mock_response(*__UpperCAmelCase				,   **__UpperCAmelCase      ):
												assert args[0] == AUTHENTICATED_USER_ENDPOINT
												assert "Authorization" in kwargs["headers"]
												assert kwargs["headers"]["Authorization"].startswith('''token '''      )
												assert "Accept" in kwargs["headers"]
												return FakeResponse(b'''{"login":"test","id":1}'''      )

						monkeypatch.setattr(__UpperCAmelCase				,   '''get'''				,   __UpperCAmelCase      )
						UpperCAmelCase_					=	fetch_github_info('''token'''      )
						assert result["login"] == "test"
						assert result["id"] == 1





