




from .number_theory.prime_numbers import next_prime

class   UpperCAmelCase    :






   def __init__(						self :							List[Any]    ,       UpperCamelCase_ :							int    ,       UpperCamelCase_ :							int | None = None    ,       UpperCamelCase_ :							float | None = None    ,       )->      None:
     _lowercase:			Tuple      =     size_table
     _lowercase:			Tuple      =     [None] * self.size_table
     _lowercase:			int      =     0.75 if lim_charge is None else lim_charge
     _lowercase:			Tuple      =     1 if charge_factor is None else charge_factor
     _lowercase:			list      =     []
     _lowercase:			dict      =     {}






   def 			_a    (						self :							List[Any]  )->      Union[str, Any]:
     return self._keys






   def 			_a    (						self :							List[Any]  )->      Optional[int]:
     return sum(1 for slot in self.values if slot is not None  ) / (
         self.size_table * self.charge_factor
     )






   def 			_a    (						self :							Union[str, Any]    ,       UpperCamelCase_ :							int  )->      Any:
     return key % self.size_table






   def 			_a    (						self :							Any    ,       UpperCamelCase_ :							Any  )->      Optional[Any]:
     print(f'step {step_ord}'  )
     print(list(range(len(self.values  )  )  )  )
     print(self.values  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							Optional[int]  )->      Any:
     _lowercase:			int      =     1
     _lowercase:			Union[str, Any]      =     values
     for value in values:
       self.insert_data(UpperCamelCase_  )
       self._step_by_step(UpperCamelCase_  )
       i += 1






   def 			_a    (						self :							Optional[Any]    ,       UpperCamelCase_ :							Any    ,       UpperCamelCase_ :							Optional[int]  )->      Any:
     _lowercase:			int      =     data
     _lowercase:			Optional[int]      =     data






   def 			_a    (						self :							Optional[int]    ,       UpperCamelCase_ :							Optional[int]    ,       UpperCamelCase_ :							str=None  )->      List[Any]:
     _lowercase:			Union[str, Any]      =     self.hash_function(key + 1  )

     while self.values[new_key] is not None and self.values[new_key] != key:
       if self.values.count(UpperCamelCase_  ) > 0:
         _lowercase:			Optional[int]      =     self.hash_function(new_key + 1  )
       else:
         _lowercase:			Tuple      =     None
         break

     return new_key






   def 			_a    (						self :							Optional[Any]  )->      Optional[Any]:
     _lowercase:			Union[str, Any]      =     [value for value in self.values if value is not None]
     _lowercase:			Union[str, Any]      =     next_prime(self.size_table    ,       factor=2  )
     self._keys.clear()
     _lowercase:			Tuple      =     [None] * self.size_table  # hell's pointers D: don't DRY ;/
     for value in survivor_values:
       self.insert_data(UpperCamelCase_  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							str  )->      Union[str, Any]:
     _lowercase:			Dict      =     self.hash_function(UpperCamelCase_  )

     if self.values[key] is None:
       self._set_value(UpperCamelCase_    ,       UpperCamelCase_  )

     elif self.values[key] == data:
       pass

     else:
       _lowercase:			Tuple      =     self._collision_resolution(UpperCamelCase_    ,       UpperCamelCase_  )
       if collision_resolution is not None:
         self._set_value(UpperCamelCase_    ,       UpperCamelCase_  )
       else:
         self.rehashing()
         self.insert_data(UpperCamelCase_  )

from __future__ import annotations

from statistics import mean


def SCREAMING_SNAKE_CASE					(  lowercase_:						list[int]					):
       _UpperCamelCase  :							str	    =	2
       _UpperCamelCase  :							Optional[int]	    =	list(lowercase_					)
       _UpperCamelCase  :							Union[str, Any]	    =	[0] * len(lowercase_					)
       _UpperCamelCase  :							List[str]	    =	0
       while True:
              _UpperCamelCase  :							List[str]	    =	True
              for i, burst_time in enumerate(lowercase_					):
                     if rem_burst_times[i] > 0:
                            _UpperCamelCase  :							List[str]	    =	False
                            if rem_burst_times[i] > quantum:
                                   t += quantum
                                   rem_burst_times[i] -= quantum
                            else:
                                   t += rem_burst_times[i]
                                   _UpperCamelCase  :							str	    =	t - burst_time
                                   _UpperCamelCase  :							Union[str, Any]	    =	0
              if done is True:
                     return waiting_times


def SCREAMING_SNAKE_CASE					(  lowercase_:						list[int]		,    lowercase_:						list[int]					):
       return [burst + waiting for burst, waiting in zip(lowercase_		,    lowercase_					)]


if __name__ == "__main__":
 UpperCAmelCase      		=					[3, 5, 7]
 UpperCAmelCase      		=					calculate_waiting_times(burst_times)
 UpperCAmelCase      		=					calculate_turn_around_times(burst_times, waiting_times)
 print('''Process ID \tBurst Time \tWaiting Time \tTurnaround Time''')
 for i, burst_time in enumerate(burst_times):
  print(
      f'''  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  '''
      f'''{turn_around_times[i]}'''
  )
 print(f'''\nAverage waiting time = {mean(waiting_times):.5f}''')
 print(f'''Average turn around time = {mean(turn_around_times):.5f}''')



