


'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


__A   :    str											= logging.get_logger(__name__)

__A   :    Optional[Any]											= {
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   'distilbert'
    lowercase  					=   {
        'hidden_size': 'dim',
        'num_attention_heads': 'n_heads',
        'num_hidden_layers': 'n_layers',
    }

    def __init__(  self       :    str       ,		lowerCamelCase       :    str=3_05_22       ,		lowerCamelCase       :    List[str]=5_12       ,		lowerCamelCase       :    Optional[int]=False       ,		lowerCamelCase       :    List[str]=6       ,		lowerCamelCase       :    List[str]=12       ,		lowerCamelCase       :    Optional[Any]=7_68       ,		lowerCamelCase       :    List[Any]=4 * 7_68       ,		lowerCamelCase       :    List[str]=0.1       ,		lowerCamelCase       :    List[str]=0.1       ,		lowerCamelCase       :    List[str]="gelu"       ,		lowerCamelCase       :    str=0.02       ,		lowerCamelCase       :    Any=0.1       ,		lowerCamelCase       :    Any=0.2       ,		lowerCamelCase       :    Union[str, Any]=0       ,		**lowerCamelCase       :    Optional[int]       ,		)  ->    List[str]:
      lowerCAmelCase_     : Optional[Any]     =  vocab_size
      lowerCAmelCase_     : str     =  max_position_embeddings
      lowerCAmelCase_     : int     =  sinusoidal_pos_embds
      lowerCAmelCase_     : str     =  n_layers
      lowerCAmelCase_     : Dict     =  n_heads
      lowerCAmelCase_     : Optional[int]     =  dim
      lowerCAmelCase_     : Optional[int]     =  hidden_dim
      lowerCAmelCase_     : Tuple     =  dropout
      lowerCAmelCase_     : List[str]     =  attention_dropout
      lowerCAmelCase_     : List[str]     =  activation
      lowerCAmelCase_     : Dict     =  initializer_range
      lowerCAmelCase_     : Dict     =  qa_dropout
      lowerCAmelCase_     : List[Any]     =  seq_classif_dropout
      super().__init__(**lowerCamelCase       ,		pad_token_id=lowerCamelCase						)







class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    @property
    def __lowercase  (  self       :    str						)  ->    Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
        lowerCAmelCase_     : Union[str, Any]     =  {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
        lowerCAmelCase_     : Optional[int]     =  {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]						)







'''simple docstring'''






from math import factorial

__A   :    dict[str, int]											= {str(digit): factorial(digit) for digit in range(10)}







def 							UpperCamelCase_     (       A__   :  int   ):
  '''simple docstring'''





  if not isinstance(A__				,       A__   ):
    raise TypeError("""Parameter number must be int"""   )

  if number < 0:
    raise ValueError("""Parameter number must be greater than or equal to 0"""   )

  # Converts number in string to iterate on its digits and adds its factorial.
  return sum(DIGIT_FACTORIAL[digit] for digit in str(A__   )   )







def 							UpperCamelCase_     (       A__   :  int = 60				,       A__   :  int = 1_00_00_00   ):
  '''simple docstring'''





  if not isinstance(A__				,       A__   ) or not isinstance(A__				,       A__   ):
    raise TypeError("""Parameters chain_length and number_limit must be int"""   )

  if chain_length <= 0 or number_limit <= 0:
    raise ValueError(
        """Parameters chain_length and number_limit must be greater than 0"""   )

  # the counter for the chains with the exact desired length
  lowerCAmelCase_     : Optional[int]     =  0
  # the cached sizes of the previous chains
  lowerCAmelCase_     : dict[int, int]     =  {}

  for start_chain_element in range(1				,       A__   ):
    # The temporary set will contain the elements of the chain
    lowerCAmelCase_     : List[str]     =  set()
    lowerCAmelCase_     : Optional[int]     =  0

    # Stop computing the chain when you find a cached size, a repeating item or the
    # length is greater then the desired one.
    lowerCAmelCase_     : int     =  start_chain_element
    while (
        chain_element not in chain_sets_lengths
        and chain_element not in chain_set
        and chain_set_length <= chain_length
    ):
      chain_set.add(A__   )
      chain_set_length += 1
      lowerCAmelCase_     : Union[str, Any]     =  digit_factorial_sum(A__   )

    if chain_element in chain_sets_lengths:
      chain_set_length += chain_sets_lengths[chain_element]

    lowerCAmelCase_     : int     =  chain_set_length

    # If chain contains the exact amount of elements increase the counter
    if chain_set_length == chain_length:
      chains_counter += 1

  return chains_counter


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(F'''{solution()}''')



