
'''simple docstring'''







from collections import deque







class UpperCAmelCase__	:





  """simple docstring"""

  def __init__(		self      :     Tuple							,_a      :     str							,_a      :     int							,_a      :     int       ):


     '''simple docstring'''






     _a				:	Any			=   process_name  # process name
     _a				:	Union[str, Any]			=   arrival_time  # arrival time of the process
     # completion time of finished process or last interrupted time
     _a				:	Union[str, Any]			=   arrival_time
     _a				:	Union[str, Any]			=   burst_time  # remaining burst time
     _a				:	Optional[Any]			=   0  # total time of the process wait in ready queue
     _a				:	Tuple			=   0  # time from arrival time to completion time







class UpperCAmelCase__	:





  """simple docstring"""

  def __init__(		self      :     Dict							,_a      :     int							,_a      :     list[int]							,_a      :     deque[Process]							,_a      :     int							,):


     '''simple docstring'''






     _a				:	Dict			=   number_of_queues
     # time slice of queues that round robin algorithm applied
     _a				:	List[Any]			=   time_slices
     # unfinished process is in this ready_queue
     _a				:	Dict			=   queue
     # current time
     _a				:	Any			=   current_time
     # finished process is in this sequence queue
     _a				:	deque[Process]			=   deque()


  def   __lowercase		(		self      :     Optional[Any]       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   []
     for i in range(len(self.finish_queue       )       ):
        sequence.append(self.finish_queue[i].process_name       )
     return sequence


  def   __lowercase		(		self      :     Union[str, Any]							,_a      :     list[Process]       ):


     '''simple docstring'''






     _a				:	Union[str, Any]			=   []
     for i in range(len(_a       )       ):
        waiting_times.append(queue[i].waiting_time       )
     return waiting_times


  def   __lowercase		(		self      :     List[Any]							,_a      :     list[Process]       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   []
     for i in range(len(_a       )       ):
        turnaround_times.append(queue[i].turnaround_time       )
     return turnaround_times


  def   __lowercase		(		self      :     Tuple							,_a      :     list[Process]       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   []
     for i in range(len(_a       )       ):
        completion_times.append(queue[i].stop_time       )
     return completion_times


  def   __lowercase		(		self      :     Dict							,_a      :     deque[Process]       ):


     '''simple docstring'''






     return [q.burst_time for q in queue]


  def   __lowercase		(		self      :     Optional[Any]							,_a      :     Process       ):


     '''simple docstring'''






     process.waiting_time += self.current_time - process.stop_time
     return process.waiting_time


  def   __lowercase		(		self      :     List[str]							,_a      :     deque[Process]       ):


     '''simple docstring'''






     _a				:	deque[Process]			=   deque()  # sequence deque of finished process
     while len(_a       ) != 0:
        _a				:	List[str]			=   ready_queue.popleft()  # current process

        # if process's arrival time is later than current time, update current time
        if self.current_time < cp.arrival_time:
           self.current_time += cp.arrival_time

        # update waiting time of current process
        self.update_waiting_time(_a       )
        # update current time
        self.current_time += cp.burst_time
        # finish the process and set the process's burst-time 0
        _a				:	Dict			=   0
        # set the process's turnaround time because it is finished
        _a				:	List[Any]			=   self.current_time - cp.arrival_time
        # set the completion time
        _a				:	int			=   self.current_time
        # add the process to queue that has finished queue
        finished.append(_a       )

     self.finish_queue.extend(_a       )  # add finished process to finish queue
     # FCFS will finish all remaining processes
     return finished


  def   __lowercase		(		self      :     int							,_a      :     deque[Process]							,_a      :     int       ):


     '''simple docstring'''






     _a				:	deque[Process]			=   deque()  # sequence deque of terminated process
     # just for 1 cycle and unfinished processes will go back to queue
     for _ in range(len(_a       )       ):
        _a				:	Optional[int]			=   ready_queue.popleft()  # current process

        # if process's arrival time is later than current time, update current time
        if self.current_time < cp.arrival_time:
           self.current_time += cp.arrival_time

        # update waiting time of unfinished processes
        self.update_waiting_time(_a       )
        # if the burst time of process is bigger than time-slice
        if cp.burst_time > time_slice:
           # use CPU for only time-slice
           self.current_time += time_slice
           # update remaining burst time
           cp.burst_time -= time_slice
           # update end point time
           _a				:	str			=   self.current_time
           # locate the process behind the queue because it is not finished
           ready_queue.append(_a       )
        else:
           # use CPU for remaining burst time
           self.current_time += cp.burst_time
           # set burst time 0 because the process is finished
           _a				:	Tuple			=   0
           # set the finish time
           _a				:	Optional[int]			=   self.current_time
           # update the process' turnaround time because it is finished
           _a				:	int			=   self.current_time - cp.arrival_time
           # add the process to queue that has finished queue
           finished.append(_a       )

     self.finish_queue.extend(_a       )  # add finished process to finish queue
     # return finished processes queue and remaining processes queue
     return finished, ready_queue


  def   __lowercase		(		self      :     Union[str, Any]       ):


     '''simple docstring'''






     for i in range(self.number_of_queues - 1       ):
        _a,  _a				:	Dict			=   self.round_robin(
            self.ready_queue							,self.time_slices[i]       )
     #  the last queue has first_come_first_served algorithm
     self.first_come_first_served(self.ready_queue       )

     return self.finish_queue


if __name__ == "__main__":
  import doctest

  __lowerCAmelCase         =    Process("""P1""", 0, 5_3)
  __lowerCAmelCase         =    Process("""P2""", 0, 1_7)
  __lowerCAmelCase         =    Process("""P3""", 0, 6_8)
  __lowerCAmelCase         =    Process("""P4""", 0, 2_4)
  __lowerCAmelCase         =    3
  __lowerCAmelCase         =    [1_7, 2_5]
  __lowerCAmelCase         =    deque([Pa, Pa, Pa, Pa])

  if len(time_slices) != number_of_queues - 1:
    raise SystemExit(0)

  doctest.testmod(extraglobs={"""queue""": deque([Pa, Pa, Pa, Pa])})

  __lowerCAmelCase         =    Process("""P1""", 0, 5_3)
  __lowerCAmelCase         =    Process("""P2""", 0, 1_7)
  __lowerCAmelCase         =    Process("""P3""", 0, 6_8)
  __lowerCAmelCase         =    Process("""P4""", 0, 2_4)
  __lowerCAmelCase         =    3
  __lowerCAmelCase         =    [1_7, 2_5]
  __lowerCAmelCase         =    deque([Pa, Pa, Pa, Pa])
  __lowerCAmelCase         =    MLFQ(number_of_queues, time_slices, queue, 0)
  __lowerCAmelCase         =    mlfq.multi_level_feedback_queue()

  # print total waiting times of processes(P1, P2, P3, P4)
  print(
      f'''waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print completion times of processes(P1, P2, P3, P4)
  print(
      f'''completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print total turnaround times of processes(P1, P2, P3, P4)
  print(
      f'''turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print sequence of finished processes
  print(
      f'''sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}'''
  )





'''simple docstring'''







import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


__lowerCAmelCase         =    logging.getLogger()







@unittest.skip('''Temporarily disable the doc tests.'''	)
@require_torch
@require_tf
@slow
class UpperCAmelCase__	( unittest.TestCase	):





  """simple docstring"""

  def   __lowercase		(		self      :     str							,_a      :     Path							,_a      :     Union[str, None] = None							,_a      :     Union[List[str], None] = None							,_a      :     Union[str, List[str], None] = None							,_a      :     bool = True							,):


     '''simple docstring'''






     _a				:	Optional[int]			=   [file for file in os.listdir(_a       ) if os.path.isfile(os.path.join(_a							,_a       )       )]

     if identifier is not None:
        _a				:	List[str]			=   [file for file in files if identifier in file]

     if n_identifier is not None:
        if isinstance(_a							,_a       ):
           for n_ in n_identifier:
              _a				:	Tuple			=   [file for file in files if n_ not in file]
        else:
           _a				:	Optional[Any]			=   [file for file in files if n_identifier not in file]

     _a				:	List[str]			=   ignore_files or []
     ignore_files.append('__init__.py'       )
     _a				:	Tuple			=   [file for file in files if file not in ignore_files]

     for file in files:
        # Open all files
        print('Testing'							,_a       )

        if only_modules:
           _a				:	Any			=   file.split('.'       )[0]
           try:
              _a				:	List[str]			=   getattr(_a							,_a       )
              _a				:	int			=   doctest.DocTestSuite(_a       )
              _a				:	Any			=   unittest.TextTestRunner().run(_a       )
              self.assertIs(len(result.failures       )							,0       )
           except AttributeError:
              logger.info(F"""{module_identifier} is not a module."""       )
        else:
           _a				:	Union[str, Any]			=   doctest.testfile(str('..' / directory / file       )							,optionflags=doctest.ELLIPSIS       )
           self.assertIs(result.failed							,0       )


  def   __lowercase		(		self      :     Any       ):


     '''simple docstring'''






     _a				:	int			=   Path('src/transformers'       )
     _a				:	List[Any]			=   'modeling'
     _a				:	Optional[Any]			=   [
         'modeling_ctrl.py',
         'modeling_tf_ctrl.py',
     ]
     self.analyze_directory(_a							,identifier=_a							,ignore_files=_a       )


  def   __lowercase		(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   Path('src/transformers'       )
     _a				:	Optional[Any]			=   'tokenization'
     self.analyze_directory(_a							,identifier=_a       )


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Dict			=   Path('src/transformers'       )
     _a				:	str			=   'configuration'
     self.analyze_directory(_a							,identifier=_a       )


  def   __lowercase		(		self      :     Any       ):


     '''simple docstring'''






     _a				:	Tuple			=   Path('src/transformers'       )
     _a				:	List[Any]			=   ['configuration', 'modeling', 'tokenization']
     self.analyze_directory(_a							,n_identifier=_a       )


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     _a				:	List[Any]			=   Path('docs/source'       )
     _a				:	List[str]			=   ['favicon.ico']
     self.analyze_directory(_a							,ignore_files=_a							,only_modules=_a       )



