






from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase					    =	logging.get_logger(__name__)

lowerCamelCase					    =	{
    '''flaubert/flaubert_small_cased''': '''https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json''',
    '''flaubert/flaubert_base_uncased''': '''https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json''',
    '''flaubert/flaubert_base_cased''': '''https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json''',
    '''flaubert/flaubert_large_cased''': '''https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json''',
}

class        snake_case_				(							lowercase_   ):







   """simple docstring"""



   __lowerCAmelCase  =    """flaubert"""
   __lowerCAmelCase  =    {
       """hidden_size""": """emb_dim""",
       """num_attention_heads""": """n_heads""",
       """num_hidden_layers""": """n_layers""",
       """n_words""": """vocab_size""",  # For backward compatibility
   }

   def __init__(     self:						int ,							snake_case__:						int=False ,							snake_case__:						Any=0.0 ,							snake_case__:						Union[str, Any]=30_145 ,							snake_case__:						Any=2_048 ,							snake_case__:						Optional[Any]=12 ,							snake_case__:						Optional[Any]=16 ,							snake_case__:						str=0.1 ,							snake_case__:						Any=0.1 ,							snake_case__:						Dict=True ,							snake_case__:						Dict=False ,							snake_case__:						str=False ,							snake_case__:						Tuple=False ,							snake_case__:						Union[str, Any]=1 ,							snake_case__:						List[Any]=True ,							snake_case__:						str=512 ,							snake_case__:						str=2_048**-0.5 ,							snake_case__:						Optional[Any]=1E-12 ,							snake_case__:						Any=0.02 ,							snake_case__:						Dict=0 ,							snake_case__:						Optional[int]=1 ,							snake_case__:						Tuple=2 ,							snake_case__:						List[Any]=3 ,							snake_case__:						Optional[Any]=5 ,							snake_case__:						Optional[Any]=True ,							snake_case__:						Any="first" ,							snake_case__:						List[Any]=True ,							snake_case__:						int=None ,							snake_case__:						str=True ,							snake_case__:						str=0.1 ,							snake_case__:						Dict=5 ,							snake_case__:						Optional[int]=5 ,							snake_case__:						Optional[int]=0 ,							snake_case__:						str=0 ,							snake_case__:						Dict=2 ,							snake_case__:						Any=0 ,							**snake_case__:						List[str] ,							)	->		Union[str, Any]:


       """simple docstring"""



       _lowercase     			=						pre_norm
       _lowercase     			=						layerdrop
       _lowercase     			=						vocab_size
       _lowercase     			=						emb_dim
       _lowercase     			=						n_layers
       _lowercase     			=						n_heads
       _lowercase     			=						dropout
       _lowercase     			=						attention_dropout
       _lowercase     			=						gelu_activation
       _lowercase     			=						sinusoidal_embeddings
       _lowercase     			=						causal
       _lowercase     			=						asm
       _lowercase     			=						n_langs
       _lowercase     			=						use_lang_emb
       _lowercase     			=						layer_norm_eps
       _lowercase     			=						bos_index
       _lowercase     			=						eos_index
       _lowercase     			=						pad_index
       _lowercase     			=						unk_index
       _lowercase     			=						mask_index
       _lowercase     			=						is_encoder
       _lowercase     			=						max_position_embeddings
       _lowercase     			=						embed_init_std
       _lowercase     			=						init_std
       _lowercase     			=						summary_type
       _lowercase     			=						summary_use_proj
       _lowercase     			=						summary_activation
       _lowercase     			=						summary_proj_to_labels
       _lowercase     			=						summary_first_dropout
       _lowercase     			=						start_n_top
       _lowercase     			=						end_n_top
       _lowercase     			=						mask_token_id
       _lowercase     			=						lang_id

       if "n_words" in kwargs:
           _lowercase     			=						kwargs['n_words']

       super().__init__(pad_token_id=snake_case__ ,							bos_token_id=snake_case__ ,							**snake_case__						)






class        snake_case_				(							lowercase_   ):







   """simple docstring"""



   @property
   def       SCREAMING_SNAKE_CASE__					(     self:						int						)	->		Mapping[str, Mapping[int, str]]:


       """simple docstring"""



       if self.task == "multiple-choice":
           _lowercase     			=						{0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
           _lowercase     			=						{0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
           ]						)








import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    class        snake_case_				:







       """simple docstring"""



       def __init__(     self:						Tuple ,							snake_case__:						Optional[int]						)	->		None:


           """simple docstring"""



           assert isinstance(snake_case__ ,							(bytes, str)						)
           _lowercase     			=						content

       def       SCREAMING_SNAKE_CASE__					(     self:						Tuple						)	->		str:


           """simple docstring"""



           return json.loads(self.content						)

    def mock_response(*_lowercase,   **_lowercase   ):
        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(_lowercase,   'get',   _lowercase   )
    _lowercase     			=						fetch_github_info('token'   )
    assert result["login"] == "test"
    assert result["id"] == 1
