

from collections import OrderedDict
from typing import Mapping

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


a_    :						Optional[int]    		=      logging.get_logger(__name__)

a_    :						Union[str, Any]    		=      {
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    __UpperCamelCase         ="xmod"

    def __init__(			self :      str							,    snake_case__ :      Any=3_0_5_2_2							,    snake_case__ :      Union[str, Any]=7_6_8							,    snake_case__ :      Tuple=1_2							,    snake_case__ :      List[Any]=1_2							,    snake_case__ :      Any=3_0_7_2							,    snake_case__ :      Union[str, Any]="gelu"							,    snake_case__ :      List[str]=0.1							,    snake_case__ :      Optional[int]=0.1							,    snake_case__ :      Dict=5_1_2							,    snake_case__ :      int=2							,    snake_case__ :      str=0.02							,    snake_case__ :      List[Any]=1E-12							,    snake_case__ :      Tuple=1							,    snake_case__ :      List[str]=0							,    snake_case__ :      List[str]=2							,    snake_case__ :      Union[str, Any]="absolute"							,    snake_case__ :      str=True							,    snake_case__ :      Union[str, Any]=None							,    snake_case__ :      int=False							,    snake_case__ :      Any=2							,    snake_case__ :      List[str]=False							,    snake_case__ :      Optional[int]=True							,    snake_case__ :      Union[str, Any]=True							,    snake_case__ :      List[str]=("en_XX",)							,    snake_case__ :      List[Any]=None							,    **snake_case__ :      Dict							,    ):

     """simple docstring"""






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

     SCREAMING_SNAKE_CASE								=			vocab_size
     SCREAMING_SNAKE_CASE								=			hidden_size
     SCREAMING_SNAKE_CASE								=			num_hidden_layers
     SCREAMING_SNAKE_CASE								=			num_attention_heads
     SCREAMING_SNAKE_CASE								=			hidden_act
     SCREAMING_SNAKE_CASE								=			intermediate_size
     SCREAMING_SNAKE_CASE								=			hidden_dropout_prob
     SCREAMING_SNAKE_CASE								=			attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE								=			max_position_embeddings
     SCREAMING_SNAKE_CASE								=			type_vocab_size
     SCREAMING_SNAKE_CASE								=			initializer_range
     SCREAMING_SNAKE_CASE								=			layer_norm_eps
     SCREAMING_SNAKE_CASE								=			position_embedding_type
     SCREAMING_SNAKE_CASE								=			use_cache
     SCREAMING_SNAKE_CASE								=			classifier_dropout
     SCREAMING_SNAKE_CASE								=			pre_norm
     SCREAMING_SNAKE_CASE								=			adapter_reduction_factor
     SCREAMING_SNAKE_CASE								=			adapter_layer_norm
     SCREAMING_SNAKE_CASE								=			adapter_reuse_layer_norm
     SCREAMING_SNAKE_CASE								=			ln_before_adapter
     SCREAMING_SNAKE_CASE								=			list(snake_case__    )
     SCREAMING_SNAKE_CASE								=			default_language




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):

    @property
    def UpperCamelCase			(			self :      str    ):

     """simple docstring"""






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




def        __lowerCAmelCase    (       _UpperCamelCase		:  int	)		->							int:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			abs(_UpperCamelCase	)
 SCREAMING_SNAKE_CASE								=			0
 while n > 0:
  res += n % 10
  n //= 10
 return res


def        __lowerCAmelCase    (       _UpperCamelCase		:  int	)		->							int:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			abs(_UpperCamelCase	)
 return n if n < 10 else n % 10 + sum_of_digits(n // 10	)


def        __lowerCAmelCase    (       _UpperCamelCase		:  int	)		->							int:
 '''simple docstring'''


 return sum(int(_UpperCamelCase	) for c in str(abs(_UpperCamelCase	)	)	)


def        __lowerCAmelCase    (       )		->							None:
 '''simple docstring'''


 from collections.abc import Callable
 from timeit import timeit

 def benchmark_a_function(_UpperCamelCase		:  Callable		,							_UpperCamelCase		:  int	) -> None:
  SCREAMING_SNAKE_CASE								=			f"""{func.__name__}({value})"""
  SCREAMING_SNAKE_CASE								=			timeit(f"""__main__.{call}"""		,							setup='import __main__'	)
  print(f"""{call:56} = {func(_UpperCamelCase	)} -- {timing:.4f} seconds"""	)

 for value in (26_21_44, 11_25_89_99_06_84_26_24, 1_26_76_50_60_02_28_22_94_01_49_67_03_20_53_76):
  for func in (sum_of_digits, sum_of_digits_recursion, sum_of_digits_compact):
   benchmark_a_function(_UpperCamelCase		,							_UpperCamelCase	)
  print()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()

