
'''simple docstring'''

from statistics import mean, stdev


def 		_UpperCAmelCase (     _lowerCamelCase  :				Optional[Any]     ,					_lowerCamelCase  :				Optional[int] = 3						)			->  Tuple:
  _lowerCAmelCase				:     Optional[int]       =    min(lowercase__						)
  _lowerCAmelCase				:     List[Any]       =    max(lowercase__						)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)     ,					lowercase__						) for x in data]



def 		_UpperCAmelCase (     _lowerCamelCase  :				List[str]     ,					_lowerCamelCase  :				int = 3						)			->  List[Any]:
  _lowerCAmelCase				:     List[str]       =    mean(lowercase__						)
  _lowerCAmelCase				:     Dict       =    stdev(lowercase__						)
  # standardize data
  return [round((x - mu) / (sigma)     ,					lowercase__						) for x in data]





from collections import deque

from .hash_table import HashTable







class   __lowercase      (_UpperCAmelCase ):
 def __init__(							self      ,							*A_      ,							**A_					)					->int:



       '''simple docstring'''





       super().__init__(*A_      ,							**A_					)
 def 	UpperCamelCase__  (							self      ,							A_      ,							A_					)					->Optional[int]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					deque([]					) if self.values[key] is None else self.values[key]
       self.values[key].appendleft(A_					)
       __lowerCAmelCase					:						int					=					self.values[key]
 def 	UpperCamelCase__  (							self					)					->Tuple:



       '''simple docstring'''





       return (
           sum(self.charge_factor - len(A_					) for slot in self.values					)
           / self.size_table
           * self.charge_factor
       )





 def 	UpperCamelCase__  (							self      ,							A_      ,							A_=None					)					->str:



       '''simple docstring'''





       if not (
           len(self.values[key]					) == self.charge_factor and self.values.count(A_					) == 0
       ):
             return key
       return super()._collision_resolution(A_      ,							A_					)


