



# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py

import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= multiprocessing.Manager()
 a__												= manager.list()

 a__												= multiprocessing.Process(target=__UpperCAmelCase							,  args=(check_program, result, timeout)       )
 p.start()
 p.join(timeout=timeout + 1       )
 if p.is_alive():
  p.kill()

 if not result:
  result.append('''timed out'''       )

 return {
     "task_id": task_id,
     "passed": result[0] == "passed",
     "result": result[0],
     "completion_id": completion_id,
 }






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 with create_tempdir():
  # These system calls are needed when cleaning up tempdir.
  import os
  import shutil

  a__												= shutil.rmtree
  a__												= os.rmdir
  a__												= os.chdir

  # Disable functionalities that can make destructive changes to the test.
  reliability_guard()

  # Run program.
  try:
   a__												= {}
   with swallow_io():
    with time_limit(__UpperCAmelCase       ):
     exec(__UpperCAmelCase							,  __UpperCAmelCase       )
   result.append('''passed'''       )
  except TimeoutException:
   result.append('''timed out'''       )
  except BaseException as e:
   result.append(f"failed: {e}"       )

  # Needed for cleaning up.
  a__												= rmtree
  a__												= rmdir
  a__												= chdir






@contextlib.contextmanager
def     __a					(		__UpperCAmelCase       ):
 def signal_handler(__UpperCAmelCase							,  __UpperCAmelCase       ):
  raise TimeoutException('''Timed out!'''       )

 signal.setitimer(signal.ITIMER_REAL							,  __UpperCAmelCase       )
 signal.signal(signal.SIGALRM							,  __UpperCAmelCase       )
 try:
  yield
 finally:
  signal.setitimer(signal.ITIMER_REAL							,  0       )






@contextlib.contextmanager
def     __a					(		):
 a__												= WriteOnlyStringIO()
 with contextlib.redirect_stdout(__UpperCAmelCase       ):
  with contextlib.redirect_stderr(__UpperCAmelCase       ):
   with redirect_stdin(__UpperCAmelCase       ):
    yield






@contextlib.contextmanager
def     __a					(		):
 with tempfile.TemporaryDirectory() as dirname:
  with chdir(__UpperCAmelCase       ):
   yield dirname
class    __UpperCamelCase			(       _lowercase				):

 """simple docstring"""



 pass





class    __UpperCamelCase			(       io.StringIO				):

 """simple docstring"""



 def 						_UpperCAmelCase       (	self		,				*SCREAMING_SNAKE_CASE		,				**SCREAMING_SNAKE_CASE      ) ->			Optional[Any]:
  raise OSError

 def 						_UpperCAmelCase       (	self		,				*SCREAMING_SNAKE_CASE		,				**SCREAMING_SNAKE_CASE      ) ->			List[Any]:
  raise OSError

 def 						_UpperCAmelCase       (	self		,				*SCREAMING_SNAKE_CASE		,				**SCREAMING_SNAKE_CASE      ) ->			int:
  raise OSError



 def 						_UpperCAmelCase       (	self		,				*SCREAMING_SNAKE_CASE		,				**SCREAMING_SNAKE_CASE      ) ->			List[str]:
  return False





class    __UpperCamelCase			(       contextlib._RedirectStream				):  # type: ignore

 """simple docstring"""



 _lowercase   :    Tuple      						=					'''stdin'''






@contextlib.contextmanager
def     __a					(		__UpperCAmelCase       ):
 if root == ".":
  yield
  return
 a__												= os.getcwd()
 os.chdir(__UpperCAmelCase       )
 try:
  yield
 except BaseException as exc:
  raise exc
 finally:
  os.chdir(__UpperCAmelCase       )






def     __a					(		__UpperCAmelCase=None       ):

 if maximum_memory_bytes is not None:
  import resource

  resource.setrlimit(resource.RLIMIT_AS							,  (maximum_memory_bytes, maximum_memory_bytes)       )
  resource.setrlimit(resource.RLIMIT_DATA							,  (maximum_memory_bytes, maximum_memory_bytes)       )
  if not platform.uname().system == "Darwin":
   resource.setrlimit(resource.RLIMIT_STACK							,  (maximum_memory_bytes, maximum_memory_bytes)       )

 faulthandler.disable()

 import builtins

 a__												= None
 a__												= None

 import os

 a__												= '''1'''

 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None

 import shutil

 a__												= None
 a__												= None
 a__												= None

 import subprocess

 a__												= None  # type: ignore

 a__												= None

 import sys

 a__												= None
 a__												= None
 a__												= None
 a__												= None
 a__												= None










from statistics import mean

import numpy as np






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= 0
 # Number of processes finished
 a__												= 0
 # Displays the finished process.
 # If it is 0, the performance is completed if it is 1, before the performance.
 a__												= [0] * no_of_process
 # List to include calculation results
 a__												= [0] * no_of_process

 # Sort by arrival time.
 a__												= [burst_time[i] for i in np.argsort(__UpperCAmelCase       )]
 a__												= [process_name[i] for i in np.argsort(__UpperCAmelCase       )]
 arrival_time.sort()

 while no_of_process > finished_process_count:
  a__												= 0
  while finished_process[i] == 1:
   i += 1
  if current_time < arrival_time[i]:
   a__												= arrival_time[i]

  a__												= 0
  # Index showing the location of the process being performed
  a__												= 0
  # Saves the current response ratio.
  a__												= 0
  for i in range(0							,  __UpperCAmelCase       ):
   if finished_process[i] == 0 and arrival_time[i] <= current_time:
    a__												= (burst_time[i] + (current_time - arrival_time[i])) / burst_time[
        i
    ]
   if response_ratio < temp:
    a__												= temp
    a__												= i

        # Calculate the turn around time
  a__												= current_time + burst_time[loc] - arrival_time[loc]
  current_time += burst_time[loc]
  # Indicates that the process has been performed.
  a__												= 1
  # Increase finished_process_count by 1
  finished_process_count += 1

 return turn_around_time






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= [0] * no_of_process
 for i in range(0							,  __UpperCAmelCase       ):
  a__												= turn_around_time[i] - burst_time[i]
 return waiting_time


if __name__ == "__main__":
     a_      :      List[Any]    =     5
     a_      :      Optional[int]    =     ['A', 'B', 'C', 'D', 'E']
     a_      :      Union[str, Any]    =     [1, 2, 3, 4, 5]
     a_      :      Dict    =     [1, 2, 3, 4, 5]

     a_      :      List[Any]    =     calculate_turn_around_time(
         process_name, arrival_time, burst_time, no_of_process
     )
     a_      :      int    =     calculate_waiting_time(
         process_name, turn_around_time, burst_time, no_of_process
     )

     print('Process name \tArrival time \tBurst time \tTurn around time \tWaiting time')
     for i in range(0, no_of_process):
          print(
              f'{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'
              f'{turn_around_time[i]}\t\t\t{waiting_time[i]}'
          )

     print(f'average waiting time : {mean(waiting_time):.5f}')
     print(f'average turn around time : {mean(turn_around_time):.5f}')





