




from __future__ import annotations

from statistics import mean



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	list[int]:
  lowerCAmelCase__				:  str		       =     [0] * no_of_processes
  lowerCAmelCase__				:  str		       =     [0] * no_of_processes

  # Initialize remaining_time to waiting_time.

  for i in range(UpperCamelCase      ):
    lowerCAmelCase__				:  Optional[int]		       =     burst_time[i]
  lowerCAmelCase__				:  list[int]		       =     []

  lowerCAmelCase__				:  int		       =     0
  lowerCAmelCase__				:  List[Any]		       =     0

  # When processes are not completed,
  # A process whose arrival time has passed \
  # and has remaining execution time is put into the ready_process.
  # The shortest process in the ready_process, target_process is executed.

  while completed != no_of_processes:
    lowerCAmelCase__				:  Optional[int]		       =     []
    lowerCAmelCase__				:  str		       =     -1

    for i in range(UpperCamelCase      ):
      if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
        ready_process.append(UpperCamelCase      )

    if len(UpperCamelCase      ) > 0:
      lowerCAmelCase__				:  Optional[int]		       =     ready_process[0]
      for i in ready_process:
        if remaining_time[i] < remaining_time[target_process]:
          lowerCAmelCase__				:  Tuple		       =     i
      total_time += burst_time[target_process]
      completed += 1
      lowerCAmelCase__				:  Dict		       =     0
      lowerCAmelCase__				:  Optional[int]		       =     (
          total_time - arrival_time[target_process] - burst_time[target_process]
      )
    else:
      total_time += 1

  return waiting_time



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	list[int]:
  lowerCAmelCase__				:  Optional[Any]		       =     [0] * no_of_processes
  for i in range(UpperCamelCase      ):
    lowerCAmelCase__				:  Optional[int]		       =     burst_time[i] + waiting_time[i]
  return turn_around_time


if __name__ == "__main__":
     print("""[TEST CASE 01]""")

     lowerCAmelCase_					    = 4
     lowerCAmelCase_					    = [2, 5, 3, 7]
     lowerCAmelCase_					    = [0, 0, 0, 0]
     lowerCAmelCase_					    = calculate_waitingtime(arrival_time, burst_time, no_of_processes)
     lowerCAmelCase_					    = calculate_turnaroundtime(
         burst_time, no_of_processes, waiting_time
     )

     # Printing the Result
     print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
     for i, process_id in enumerate(list(range(1, 5))):
          print(
              F"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
              F"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
          )
     print(F"""\nAverage waiting time = {mean(waiting_time):.5f}""")
     print(F"""Average turnaround time = {mean(turn_around_time):.5f}""")







import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowerCAmelCase_					    = logging.get_logger(__name__)






class  _lowerCAmelCase     (  _lowercase	):

      def __init__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        warnings.warn(
            '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use OwlViTImageProcessor instead.'''      ,				__UpperCAmelCase      ,				)
        super().__init__(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

