"""simple docstring"""



SCREAMING_SNAKE_CASE__:Dict		       =       range(2, 20 + 1)
SCREAMING_SNAKE_CASE__:Union[str, Any]		       =       [10**k for k in range(ks[-1] + 1)]
SCREAMING_SNAKE_CASE__:dict[int, dict[int, list[list[int]]]]		       =       {}



def      _lowerCamelCase(     a					,  a					,  a					,  a							):
       __a	      =  sum(a_i[j] for j in range(__a					,  len(__a							)							)							)
       __a	      =  sum(a_i[j] * base[j] for j in range(min(len(__a							)					,  __a							)							)							)

       __a	      =  0, 0
       __a	      =  n - i

       __a	      =  memo.get(__a							)

       if sub_memo is not None:
              __a	      =  sub_memo.get(__a							)

              if jumps is not None and len(__a							) > 0:
                     # find and make the largest jump without going over
                     __a	      =  -1
                     for _k in range(len(__a							) - 1					,  -1					,  -1							):
                            if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
                                   __a	      =  _k
                                   break

                     if max_jump >= 0:
                            __a	      =  jumps[max_jump]
                            # since the difference between jumps is cached, add c
                            __a	      =  diff + c
                            for j in range(min(__a					,  len(__a							)							)							):
                                   __a	      =  divmod(__a					,  1_0							)
                            if new_c > 0:
                                   add(__a					,  __a					,  __a							)

              else:
                     __a	      =  []
       else:
              __a	      =  {c: []}
              __a	      =  sub_memo

       if dn >= max_dn or c + diff >= base[k]:
              return diff, dn

       if k > ks[0]:
              while True:
                     # keep doing smaller jumps
                     __a	      =  next_term(__a					,  k - 1					,  i + dn					,  __a							)
                     diff += _diff
                     dn += terms_jumped

                     if dn >= max_dn or c + diff >= base[k]:
                            break
       else:
              # would be too small a jump, just compute sequential terms instead
              __a	      =  compute(__a					,  __a					,  i + dn					,  __a							)
              diff += _diff
              dn += terms_jumped

       __a	      =  sub_memo[c]

       # keep jumps sorted by # of terms skipped
       __a	      =  0
       while j < len(__a							):
              if jumps[j][1] > dn:
                     break
              j += 1

       # cache the jump for this value digitsum(b) and c
       sub_memo[c].insert(__a					,  (diff, dn, k)							)
       return (diff, dn)



def      _lowerCamelCase(     a					,  a					,  a					,  a							):






       if i >= n:
              return 0, i
       if k > len(__a							):
              a_i.extend([0 for _ in range(k - len(__a							)							)]							)

       # note: a_i -> b * 10^k + c
       # ds_b -> digitsum(b)
       # ds_c -> digitsum(c)
       __a	      =  i
       __a	      =  0, 0, 0
       for j in range(len(__a							)							):
              if j >= k:
                     ds_b += a_i[j]
              else:
                     ds_c += a_i[j]

       while i < n:
              i += 1
              __a	      =  ds_c + ds_b
              diff += addend
              __a	      =  0
              for j in range(__a							):
                     __a	      =  a_i[j] + addend
                     __a	      =  divmod(__a					,  1_0							)

                     ds_c += a_i[j]

              if addend > 0:
                     break

       if addend > 0:
              add(__a					,  __a					,  __a							)
       return diff, i - start_i



def      _lowerCamelCase(     a					,  a					,  a							):






       for j in range(__a					,  len(__a							)							):
              __a	      =  digits[j] + addend
              if s >= 1_0:
                     __a	      =  divmod(__a					,  1_0							)
                     __a	      =  addend // 1_0 + quotient
              else:
                     __a	      =  s
                     __a	      =  addend // 1_0

              if addend == 0:
                     break

       while addend > 0:
              __a	      =  divmod(__a					,  1_0							)
              digits.append(__a							)



def      _lowerCamelCase(     a = 1_0**1_5							):
       __a	      =  [1]
       __a	      =  1
       __a	      =  0
       while True:
              __a	      =  next_term(__a					,  2_0					,  i + dn					,  __a							)
              dn += terms_jumped
              if dn == n - i:
                     break

       __a	      =  0
       for j in range(len(__a							)							):
              a_n += digits[j] * 1_0**j
       return a_n


if __name__ == "__main__":
   print(F'''{solution() = }''')








"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


UpperCAmelCase_   : Optional[Any]   			= logging.get_logger(__name__)




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  List[str]						,	*lowercase_     :  Dict						,	**lowercase_     :  Union[str, Any]):




          '''simple docstring'''


          warnings.warn(
              '''The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
              ''' use DeiTImageProcessor instead.'''						,	lowercase_						,	)
          super().__init__(*lowercase_						,	**lowercase_)


