
"""simple docstring"""





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


_a		       =							logging.get_logger(__name__)

_a		       =							{
    'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json',
}


class A_	(lowercase__      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						Tuple       =		"""mgp-str"""







  def __init__(		self				,   lowercase_=[32, 128]				,   lowercase_=4				,   lowercase_=3				,   lowercase_=27				,   lowercase_=38				,   lowercase_=5_0257				,   lowercase_=3_0522				,   lowercase_=768				,   lowercase_=12				,   lowercase_=12				,   lowercase_=4.0				,   lowercase_=True				,   lowercase_=False				,   lowercase_=1E-5				,   lowercase_=0.0				,   lowercase_=0.0				,   lowercase_=0.0				,   lowercase_=False				,   lowercase_=0.02				,   **lowercase_				,   ):

     """simple docstring"""
     super().__init__(**lowercase_  )

     UpperCAmelCase_					:					List[str]			     =    image_size
     UpperCAmelCase_					:					int			     =    patch_size
     UpperCAmelCase_					:					Tuple			     =    num_channels
     UpperCAmelCase_					:					Dict			     =    max_token_length
     UpperCAmelCase_					:					Optional[int]			     =    num_character_labels
     UpperCAmelCase_					:					Optional[int]			     =    num_bpe_labels
     UpperCAmelCase_					:					Optional[int]			     =    num_wordpiece_labels
     UpperCAmelCase_					:					Optional[int]			     =    hidden_size
     UpperCAmelCase_					:					int			     =    num_hidden_layers
     UpperCAmelCase_					:					List[str]			     =    num_attention_heads
     UpperCAmelCase_					:					str			     =    mlp_ratio
     UpperCAmelCase_					:					Any			     =    distilled
     UpperCAmelCase_					:					Union[str, Any]			     =    layer_norm_eps
     UpperCAmelCase_					:					Dict			     =    drop_rate
     UpperCAmelCase_					:					str			     =    qkv_bias
     UpperCAmelCase_					:					Tuple			     =    attn_drop_rate
     UpperCAmelCase_					:					List[Any]			     =    drop_path_rate
     UpperCAmelCase_					:					Optional[Any]			     =    output_aa_attentions
     UpperCAmelCase_					:					List[str]			     =    initializer_range




"""simple docstring"""





from __future__ import annotations

import math







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Any			     =    u
   for i in range(1,		__lowerCamelCase  ):
      UpperCAmelCase_					:					int			     =    temp * (u - i)
   return temp







def 	__a     (		):
   UpperCAmelCase_					:					str			     =    int(input("enter the numbers of values: "  )  )
   UpperCAmelCase_					:					list[list[float]]			     =    []
   for _ in range(__lowerCamelCase  ):
      y.append([]  )
   for i in range(__lowerCamelCase  ):
      for j in range(__lowerCamelCase  ):
         y[i].append(__lowerCamelCase  )
         UpperCAmelCase_					:					Tuple			     =    0

   print("enter the values of parameters in a list: "  )
   UpperCAmelCase_					:					Union[str, Any]			     =    list(map(__lowerCamelCase,		input().split()  )  )

   print("enter the values of corresponding parameters: "  )
   for i in range(__lowerCamelCase  ):
      UpperCAmelCase_					:					int			     =    float(input()  )

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

   # for calculating forward difference table

   for i in range(1,		__lowerCamelCase  ):
      for j in range(n - i  ):
         UpperCAmelCase_					:					Union[str, Any]			     =    y[j + 1][i - 1] - y[j][i - 1]

   UpperCAmelCase_					:					Optional[int]			     =    y[0][0]
   for i in range(1,		__lowerCamelCase  ):
      summ += (ucal(__lowerCamelCase,		__lowerCamelCase  ) * y[0][i]) / math.factorial(__lowerCamelCase  )

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


if __name__ == "__main__":
    main()


