






'''simple docstring'''

from __future__ import annotations

import math







def 						__UpperCamelCase				(							_lowercase,				_lowercase					) ->			float:
	_lowercase					:       str       =		u
	for i in range(1,				_lowercase					):
		_lowercase					:       str       =		temp * (u - i)
	return temp







def 						__UpperCamelCase				(							) ->			None:
	_lowercase					:       Any       =		int(input('enter the numbers of values: '					)					)
	_lowercase					:       list[list[float]]       =		[]
	for _ in range(_lowercase					):
		y.append([]					)
	for i in range(_lowercase					):
		for j in range(_lowercase					):
			y[i].append(_lowercase					)
			_lowercase					:       List[str]       =		0

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

	print('enter the values of corresponding parameters: '					)
	for i in range(_lowercase					):
		_lowercase					:       Union[str, Any]       =		float(input()					)

	_lowercase					:       str       =		int(input('enter the value to interpolate: '					)					)
	_lowercase					:       List[Any]       =		(value - x[0]) / (x[1] - x[0])

	# for calculating forward difference table

	for i in range(1,				_lowercase					):
		for j in range(n - i					):
			_lowercase					:       Tuple       =		y[j + 1][i - 1] - y[j][i - 1]

	_lowercase					:       List[str]       =		y[0][0]
	for i in range(1,				_lowercase					):
		summ += (ucal(_lowercase,				_lowercase					) * y[0][i]) / math.factorial(_lowercase					)

	print(f'''the value at {value} is {summ}'''					)


if __name__ == "__main__":
		main()





'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A				:    Dict     						=logging.get_logger(__name__)

_A				:    Dict     						={
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					A_						    =						"""megatron-bert"""




					def __init__(  self				:	int     ,  UpperCamelCase_				:	int=2_9056     ,  UpperCamelCase_				:	Optional[int]=1024     ,  UpperCamelCase_				:	Optional[Any]=24     ,  UpperCamelCase_				:	List[Any]=16     ,  UpperCamelCase_				:	Optional[int]=4096     ,  UpperCamelCase_				:	Optional[Any]="gelu"     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	Union[str, Any]=0.1     ,  UpperCamelCase_				:	int=512     ,  UpperCamelCase_				:	Dict=2     ,  UpperCamelCase_				:	Union[str, Any]=0.02     ,  UpperCamelCase_				:	Any=1E-12     ,  UpperCamelCase_				:	Tuple=0     ,  UpperCamelCase_				:	Optional[int]="absolute"     ,  UpperCamelCase_				:	Optional[Any]=True     ,  **UpperCamelCase_				:	Any     ,  )  ->       List[Any]:



						'''simple docstring'''





						super().__init__(pad_token_id=UpperCamelCase_     ,  **UpperCamelCase_					)

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