

"""simple docstring"""




from __future__ import annotations

import math

def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   u
			for i in range(1		,					snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   temp * (u - i)
			return temp

def 						A							(  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   int(input("""enter the numbers of values: """     )     )
			SCREAMING_SNAKE_CASE__										=   []
			for _ in range(snake_case__     ):
						y.append([]     )
			for i in range(snake_case__     ):
						for j in range(snake_case__     ):
									y[i].append(snake_case__     )
									SCREAMING_SNAKE_CASE__										=   0

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

			print("""enter the values of corresponding parameters: """     )
			for i in range(snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   float(input()     )

			SCREAMING_SNAKE_CASE__										=   int(input("""enter the value to interpolate: """     )     )
			SCREAMING_SNAKE_CASE__										=   (value - x[0]) / (x[1] - x[0])

			# for calculating forward difference table

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

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

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


if __name__ == "__main__":
						main()





"""simple docstring"""




from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


A_				:      Union[str, Any]           =			{
    "susnato/ernie-m-base_pytorch": "https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json",
    "susnato/ernie-m-large_pytorch": "https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json",
}





class  lowerCamelCase    (A__      ):
			lowerCamelCase__ :		int       		=				'ernie_m'
			lowerCamelCase__ :		Dict[str, str]       		=				{"dropout": "classifier_dropout", "num_classes": "num_labels"}

			def __init__(       self					:    List[str]     ,					__UpperCAmelCase					:    int = 2_5_0_0_0_2     ,					__UpperCAmelCase					:    int = 7_6_8     ,					__UpperCAmelCase					:    int = 1_2     ,					__UpperCAmelCase					:    int = 1_2     ,					__UpperCAmelCase					:    int = 3_0_7_2     ,					__UpperCAmelCase					:    str = "gelu"     ,					__UpperCAmelCase					:    float = 0.1     ,					__UpperCAmelCase					:    float = 0.1     ,					__UpperCAmelCase					:    int = 5_1_4     ,					__UpperCAmelCase					:    float = 0.02     ,					__UpperCAmelCase					:    int = 1     ,					__UpperCAmelCase					:    float = 1e-05     ,					__UpperCAmelCase					:    Union[str, Any]=None     ,					__UpperCAmelCase					:    List[Any]=False     ,					__UpperCAmelCase					:    Union[str, Any]=0.0     ,					**__UpperCAmelCase					:    Any     ,					) ->     Optional[Any]:
						super().__init__(pad_token_id=__UpperCAmelCase     ,					**__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   vocab_size
						SCREAMING_SNAKE_CASE__										=   hidden_size
						SCREAMING_SNAKE_CASE__										=   num_hidden_layers
						SCREAMING_SNAKE_CASE__										=   num_attention_heads
						SCREAMING_SNAKE_CASE__										=   intermediate_size
						SCREAMING_SNAKE_CASE__										=   hidden_act
						SCREAMING_SNAKE_CASE__										=   hidden_dropout_prob
						SCREAMING_SNAKE_CASE__										=   attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE__										=   max_position_embeddings
						SCREAMING_SNAKE_CASE__										=   initializer_range
						SCREAMING_SNAKE_CASE__										=   layer_norm_eps
						SCREAMING_SNAKE_CASE__										=   classifier_dropout
						SCREAMING_SNAKE_CASE__										=   is_decoder
						SCREAMING_SNAKE_CASE__										=   act_dropout


