
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							=       {
    """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   UpperCAmelCase		(						A_ ):
   A__					:		int						     =     "distilbert"
   A__					:		List[str]						     =     {
       "hidden_size": "dim",
       "num_attention_heads": "n_heads",
       "num_hidden_layers": "n_layers",
   }



   def __init__(self		:					str    ,						snake_case__		:					Union[str, Any]=3_05_22    ,						snake_case__		:					int=5_12    ,						snake_case__		:					Optional[int]=False    ,						snake_case__		:					Optional[int]=6    ,						snake_case__		:					Any=12    ,						snake_case__		:					List[Any]=7_68    ,						snake_case__		:					int=4 * 7_68    ,						snake_case__		:					int=0.1    ,						snake_case__		:					List[str]=0.1    ,						snake_case__		:					str="gelu"    ,						snake_case__		:					Any=0.02    ,						snake_case__		:					Optional[Any]=0.1    ,						snake_case__		:					List[Any]=0.2    ,						snake_case__		:					Dict=0    ,						**snake_case__		:					List[str]    ,						)		->	Optional[int]:


          '''simple docstring'''


          snake_case       :   Any							=      vocab_size
          snake_case       :   int							=      max_position_embeddings
          snake_case       :   Optional[Any]							=      sinusoidal_pos_embds
          snake_case       :   List[str]							=      n_layers
          snake_case       :   List[Any]							=      n_heads
          snake_case       :   str							=      dim
          snake_case       :   Tuple							=      hidden_dim
          snake_case       :   Union[str, Any]							=      dropout
          snake_case       :   List[str]							=      attention_dropout
          snake_case       :   Any							=      activation
          snake_case       :   int							=      initializer_range
          snake_case       :   List[Any]							=      qa_dropout
          snake_case       :   str							=      seq_classif_dropout
          super().__init__(**snake_case__    ,						pad_token_id=snake_case__ )






class   UpperCAmelCase		(						A_ ):



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


          '''simple docstring'''


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








import math
import sys







def 			A_      (    _UpperCAmelCase    ):
						if number != int(_UpperCAmelCase    ):
												raise ValueError("the value of input must be a natural number"    )
						if number < 0:
												raise ValueError("the value of input must not be a negative number"    )
						if number == 0:
												return 1
						SCREAMING_SNAKE_CASE_: List[str]  		=       [-1] * (number + 1)
						SCREAMING_SNAKE_CASE_: str  		=       0
						for i in range(1				,	number + 1    ):
												SCREAMING_SNAKE_CASE_: str  		=       sys.maxsize
												SCREAMING_SNAKE_CASE_: List[Any]  		=       int(math.sqrt(_UpperCAmelCase    )    )
												for j in range(1				,	root + 1    ):
																		SCREAMING_SNAKE_CASE_: List[str]  		=       1 + answers[i - (j**2)]
																		SCREAMING_SNAKE_CASE_: Optional[Any]  		=       min(_UpperCAmelCase				,	_UpperCAmelCase    )
												SCREAMING_SNAKE_CASE_: Dict  		=       answer
						return answers[number]


if __name__ == "__main__":
						import doctest

						doctest.testmod()






