

"""simple docstring"""





from __future__ import annotations

import math




def   _A  (  UpperCamelCase_					:	int,      UpperCamelCase_					:	List[Any])     ->						float:
   '''simple docstring'''


   __lowercase								=						u
   for i in range(1,      __UpperCAmelCase):
      __lowercase								=						temp * (u - i)
   return temp




def   _A  (  )     ->						None:
   '''simple docstring'''


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

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

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

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

   # for calculating forward difference table

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

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

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


if __name__ == "__main__":
   main()








"""simple docstring"""





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


_a							=							logging.get_logger(__name__)

_a							=							{
    'caidas/swin2sr-classicalsr-x2-64': (
        'https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'
    ),
}




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : List[Any]       		=     "swin2sr"

 __UpperCAmelCase     : List[Any]       		=     {
     "hidden_size": "embed_dim",
     "num_attention_heads": "num_heads",
     "num_hidden_layers": "num_layers",
 }


 def __init__(      self							:      Any, UpperCAmelCase__							:      Dict=6_4, UpperCAmelCase__							:      List[Any]=1, UpperCAmelCase__							:      Dict=3, UpperCAmelCase__							:      Optional[Any]=1_8_0, UpperCAmelCase__							:      Any=[6, 6, 6, 6, 6, 6], UpperCAmelCase__							:      Dict=[6, 6, 6, 6, 6, 6], UpperCAmelCase__							:      Tuple=8, UpperCAmelCase__							:      Optional[int]=2.0, UpperCAmelCase__							:      List[str]=True, UpperCAmelCase__							:      Tuple=0.0, UpperCAmelCase__							:      Optional[Any]=0.0, UpperCAmelCase__							:      List[str]=0.1, UpperCAmelCase__							:      Dict="gelu", UpperCAmelCase__							:      Dict=False, UpperCAmelCase__							:      Dict=0.02, UpperCAmelCase__							:      Tuple=1E-5, UpperCAmelCase__							:      str=2, UpperCAmelCase__							:      str=1.0, UpperCAmelCase__							:      Optional[int]="1conv", UpperCAmelCase__							:      Dict="pixelshuffle", **UpperCAmelCase__							:      List[Any], ):
    super().__init__(**UpperCAmelCase__     )

    __lowercase								=						image_size
    __lowercase								=						patch_size
    __lowercase								=						num_channels
    __lowercase								=						embed_dim
    __lowercase								=						depths
    __lowercase								=						len(UpperCAmelCase__     )
    __lowercase								=						num_heads
    __lowercase								=						window_size
    __lowercase								=						mlp_ratio
    __lowercase								=						qkv_bias
    __lowercase								=						hidden_dropout_prob
    __lowercase								=						attention_probs_dropout_prob
    __lowercase								=						drop_path_rate
    __lowercase								=						hidden_act
    __lowercase								=						use_absolute_embeddings
    __lowercase								=						layer_norm_eps
    __lowercase								=						initializer_range
    __lowercase								=						upscale
    __lowercase								=						img_range
    __lowercase								=						resi_connection
    __lowercase								=						upsampler




