





'''simple docstring'''




from __future__ import annotations

from statistics import mean







def _lowerCAmelCase     (      _lowerCAmelCase       ,    _lowerCAmelCase       ,    _lowerCAmelCase    )->     int:
 __UpperCAmelCase					=   [0] * no_of_processes
 __UpperCAmelCase					=   [0] * no_of_processes

 # Initialize remaining_time to waiting_time.

 for i in range(_lowercase    ):
  __UpperCAmelCase					=   burst_time[i]
 __UpperCAmelCase					=   []

 __UpperCAmelCase					=   0
 __UpperCAmelCase					=   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:
  __UpperCAmelCase					=   []
  __UpperCAmelCase					=   -1

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

  if len(_lowercase    ) > 0:
   __UpperCAmelCase					=   ready_process[0]
   for i in ready_process:
    if remaining_time[i] < remaining_time[target_process]:
     __UpperCAmelCase					=   i
   total_time += burst_time[target_process]
   completed += 1
   __UpperCAmelCase					=   0
   __UpperCAmelCase					=   (
       total_time - arrival_time[target_process] - burst_time[target_process]
   )
  else:
   total_time += 1

 return waiting_time







def _lowerCAmelCase     (      _lowerCAmelCase       ,    _lowerCAmelCase       ,    _lowerCAmelCase    )->     List[Any]:
 __UpperCAmelCase					=   [0] * no_of_processes
 for i in range(_lowercase    ):
  __UpperCAmelCase					=   burst_time[i] + waiting_time[i]
 return turn_around_time


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

    _A:					List[Any]							=				4
    _A:					Any							=				[2, 5, 3, 7]
    _A:					Union[str, Any]							=				[0, 0, 0, 0]
    _A:					List[Any]							=				calculate_waitingtime(arrival_time, burst_time, no_of_processes)
    _A:					Optional[int]							=				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}""")







'''simple docstring'''




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class UpperCAmelCase							(		UpperCAmelCase_					,			unittest.TestCase							):
    _A :			List[str]						   =       MgpstrTokenizer
    _A :			Any						   =       False
    _A :			List[Any]						   =       {}
    _A :			int						   =       False



    def 					__lowerCamelCase						(  self					):
     super().setUp()

     # fmt: off
     __UpperCAmelCase					=   ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
     # fmt: on
     __UpperCAmelCase					=   dict(zip(__A     ,			range(len(__A					)					)					)					)

     __UpperCAmelCase					=   os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['vocab_file']					)
     with open(self.vocab_file     ,			'w'     ,			encoding='utf-8'					) as fp:
      fp.write(json.dumps(__A					) + '\n'					)



    def 					__lowerCamelCase						(  self     ,			**__A					):
     return MgpstrTokenizer.from_pretrained(self.tmpdirname     ,			**__A					)



    def 					__lowerCamelCase						(  self     ,			__A					):
     __UpperCAmelCase					=   'tester'
     __UpperCAmelCase					=   'tester'
     return input_text, output_text



    @unittest.skip('MGP-STR always lower cases letters.'					)
    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.get_tokenizers(do_lower_case=__A					)
     for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'					):
       __UpperCAmelCase					=   '[SPECIAL_TOKEN]'

       tokenizer.add_special_tokens({'cls_token': special_token}					)
       __UpperCAmelCase					=   tokenizer.encode([special_token]     ,			add_special_tokens=__A					)
       self.assertEqual(len(__A					)     ,			1					)

       __UpperCAmelCase					=   tokenizer.decode(__A     ,			skip_special_tokens=__A					)
       self.assertTrue(special_token not in decoded					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.get_tokenizers()
     for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'					):
       __UpperCAmelCase					,    __UpperCAmelCase					=   self.get_input_output_texts(__A					)

       __UpperCAmelCase					=   tokenizer.tokenize(__A					)
       __UpperCAmelCase					=   tokenizer.convert_tokens_to_ids(__A					)
       __UpperCAmelCase					=   tokenizer.encode(__A     ,			add_special_tokens=__A					)
       self.assertListEqual(__A     ,			__A					)

       __UpperCAmelCase					=   tokenizer.convert_ids_to_tokens(__A					)
       self.assertNotEqual(len(__A					)     ,			0					)
       __UpperCAmelCase					=   tokenizer.decode(__A					)
       self.assertIsInstance(__A     ,			__A					)

       self.assertEqual(text_a.replace(' '     ,			''					)     ,			__A					)



    @unittest.skip('MGP-STR tokenizer only handles one sequence.'					)
    def 					__lowerCamelCase						(  self					):
     pass




    @unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'					)
    def 					__lowerCamelCase						(  self					):
     pass





