


from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE__     					=			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     					=			{
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    "bert-large-uncased": "https://huggingface.co/bert-large-uncased/resolve/main/config.json",
    "bert-base-cased": "https://huggingface.co/bert-base-cased/resolve/main/config.json",
    "bert-large-cased": "https://huggingface.co/bert-large-cased/resolve/main/config.json",
    "bert-base-multilingual-uncased": "https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json",
    "bert-base-multilingual-cased": "https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json",
    "bert-base-chinese": "https://huggingface.co/bert-base-chinese/resolve/main/config.json",
    "bert-base-german-cased": "https://huggingface.co/bert-base-german-cased/resolve/main/config.json",
    "bert-large-uncased-whole-word-masking": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking": (
        "https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-uncased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-base-cased-finetuned-mrpc": "https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json",
    "bert-base-german-dbmdz-cased": "https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json",
    "bert-base-german-dbmdz-uncased": "https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese": "https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-cased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-uncased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json"
    ),
    "wietsedv/bert-base-dutch-cased": "https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json",
    # See all BERT models at https://huggingface.co/models?filter=bert
}



class 						_UpperCAmelCase      (     lowercase							):
		lowerCamelCase_	:			List[Any]       			=  """bert"""






		def __init__(						self				:     str   ,  UpperCAmelCase				:     Tuple=3_05_22   ,  UpperCAmelCase				:     Any=7_68   ,  UpperCAmelCase				:     str=12   ,  UpperCAmelCase				:     Any=12   ,  UpperCAmelCase				:     int=30_72   ,  UpperCAmelCase				:     Dict="gelu"   ,  UpperCAmelCase				:     Dict=0.1   ,  UpperCAmelCase				:     Tuple=0.1   ,  UpperCAmelCase				:     int=5_12   ,  UpperCAmelCase				:     Dict=2   ,  UpperCAmelCase				:     Union[str, Any]=0.02   ,  UpperCAmelCase				:     Optional[int]=1E-12   ,  UpperCAmelCase				:     List[str]=0   ,  UpperCAmelCase				:     Any="absolute"   ,  UpperCAmelCase				:     Union[str, Any]=True   ,  UpperCAmelCase				:     Any=None   ,  **UpperCAmelCase				:     List[Any]   ,  ):
				super().__init__(pad_token_id=UpperCAmelCase   ,  **UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						vocab_size
				SCREAMING_SNAKE_CASE_				:List[str]				     =						hidden_size
				SCREAMING_SNAKE_CASE_				:Tuple				     =						num_hidden_layers
				SCREAMING_SNAKE_CASE_				:Dict				     =						num_attention_heads
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						hidden_act
				SCREAMING_SNAKE_CASE_				:Tuple				     =						intermediate_size
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						hidden_dropout_prob
				SCREAMING_SNAKE_CASE_				:str				     =						attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE_				:Tuple				     =						max_position_embeddings
				SCREAMING_SNAKE_CASE_				:Tuple				     =						type_vocab_size
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						initializer_range
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						layer_norm_eps
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						position_embedding_type
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						use_cache
				SCREAMING_SNAKE_CASE_				:int				     =						classifier_dropout




class 						_UpperCAmelCase      (     lowercase							):






		@property
		def _snake_case		(						self				:     Tuple):
				if self.task == "multiple-choice":
						SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						{0: "batch", 1: "choice", 2: "sequence"}
				else:
						SCREAMING_SNAKE_CASE_				:int				     =						{0: "batch", 1: "sequence"}
				return OrderedDict(
				    [
				        ("input_ids", dynamic_axis),
				        ("attention_mask", dynamic_axis),
				        ("token_type_ids", dynamic_axis),
				    ])










from __future__ import annotations

import math


def     lowercase	(    a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:List[Any]				     =						u
		for i in range(1     , a ):
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						temp * (u - i)
		return temp


def     lowercase	(    ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:int				     =						int(input("enter the numbers of values: " ) )
		SCREAMING_SNAKE_CASE_				:list[list[float]]				     =						[]
		for _ in range(a ):
				y.append([] )
		for i in range(a ):
				for j in range(a ):
						y[i].append(a )
						SCREAMING_SNAKE_CASE_				:Any				     =						0

		print("enter the values of parameters in a list: " )
		SCREAMING_SNAKE_CASE_				:Dict				     =						list(map(a     , input().split() ) )

		print("enter the values of corresponding parameters: " )
		for i in range(a ):
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						float(input() )

		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						int(input("enter the value to interpolate: " ) )
		SCREAMING_SNAKE_CASE_				:str				     =						(value - x[0]) / (x[1] - x[0])

		# for calculating forward difference table

		for i in range(1     , a ):
				for j in range(n - i ):
						SCREAMING_SNAKE_CASE_				:List[str]				     =						y[j + 1][i - 1] - y[j][i - 1]

		SCREAMING_SNAKE_CASE_				:Tuple				     =						y[0][0]
		for i in range(1     , a ):
				summ += (ucal(a     , a ) * y[0][i]) / math.factorial(a )

		print(F"the value at {value} is {summ}" )


if __name__ == "__main__":
		main()






