"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_UpperCamelCase   :						Tuple      =    logging.get_logger(__name__)

_UpperCamelCase   :						List[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      UpperCAmelCase_	(    _a):
      lowerCamelCase__		:    List[Any]   =  "distilbert"
      lowerCamelCase__		:    Any   =  {
          "hidden_size": "dim",
          "num_attention_heads": "n_heads",
          "num_hidden_layers": "n_layers",
      }


      def __init__(   self		,			a=3_0_5_2_2		,			a=5_1_2		,			a=False		,			a=6		,			a=1_2		,			a=7_6_8		,			a=4 * 7_6_8		,			a=0.1		,			a=0.1		,			a="gelu"		,			a=0.02		,			a=0.1		,			a=0.2		,			a=0		,			**a		,			)       ->					List[str]:
             lowercase__			:		Union[str, Any]       =	vocab_size
             lowercase__			:		List[Any]       =	max_position_embeddings
             lowercase__			:		str       =	sinusoidal_pos_embds
             lowercase__			:		Dict       =	n_layers
             lowercase__			:		str       =	n_heads
             lowercase__			:		List[Any]       =	dim
             lowercase__			:		List[str]       =	hidden_dim
             lowercase__			:		Any       =	dropout
             lowercase__			:		Tuple       =	attention_dropout
             lowercase__			:		List[Any]       =	activation
             lowercase__			:		List[str]       =	initializer_range
             lowercase__			:		int       =	qa_dropout
             lowercase__			:		List[Any]       =	seq_classif_dropout
             super().__init__(**a		,			pad_token_id=a							)





class      UpperCAmelCase_	(    _a):


      @property
      def 		_UpperCAmelCase       (   self							)       ->					Mapping[str, Mapping[int, str]]:
             if self.task == "multiple-choice":
                    lowercase__			:		Tuple       =	{0: 'batch', 1: 'choice', 2: 'sequence'}
             else:
                    lowercase__			:		List[str]       =	{0: 'batch', 1: 'sequence'}
             return OrderedDict(
                 [
                     ('input_ids', dynamic_axis),
                     ('attention_mask', dynamic_axis),
                 ]							)



"""simple docstring"""





def 						_lowerCAmelCase				(				UpperCamelCase_ = 100				):
		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = 0
		for i in range(1  ,				n + 1				):
				sum_of_squares += i**2
				sum_of_ints += i
		return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
							print(F"""{solution() = }""")




