






'''simple docstring'''

from statistics import mean

import numpy as np







def     lowercase__ (      __UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase    )-> Optional[int]:
      UpperCamelCase				  =					0
      # Number of processes finished
      UpperCamelCase				  =					0
      # Displays the finished process.
      # If it is 0, the performance is completed if it is 1, before the performance.
      UpperCamelCase				  =					[0] * no_of_process
      # List to include calculation results
      UpperCamelCase				  =					[0] * no_of_process

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

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

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

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

      return turn_around_time







def     lowercase__ (      __UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase    )-> Optional[Any]:
      UpperCamelCase				  =					[0] * no_of_process
      for i in range(0		,						__UpperCamelCase    ):
            UpperCamelCase				  =					turn_around_time[i] - burst_time[i]
      return waiting_time


if __name__ == "__main__":
     SCREAMING_SNAKE_CASE__      =   5
     SCREAMING_SNAKE_CASE__      =   ['A', 'B', 'C', 'D', 'E']
     SCREAMING_SNAKE_CASE__      =   [1, 2, 3, 4, 5]
     SCREAMING_SNAKE_CASE__      =   [1, 2, 3, 4, 5]

     SCREAMING_SNAKE_CASE__      =   calculate_turn_around_time(
         process_name, arrival_time, burst_time, no_of_process
     )
     SCREAMING_SNAKE_CASE__      =   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}')

"""simple docstring"""






import os
import sys
import unittest


lowerCAmelCase__  :  Tuple						     =	os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


lowerCAmelCase__  :  Tuple						     =	os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
lowerCAmelCase__  :  Optional[Any]						     =	os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')
class 				snake_case       ( unittest.TestCase				):




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							get_test_to_tester_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_test_to_tester_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{'BertModelTest': 'BertModelTester'}

									UpperCAmelCase__             =							{
									    'BlipModelTest': 'BlipModelTester',
									    'BlipTextImageModelTest': 'BlipTextImageModelsModelTester',
									    'BlipTextModelTest': 'BlipTextModelTester',
									    'BlipTextRetrievalModelTest': 'BlipTextRetrievalModelTester',
									    'BlipVQAModelTest': 'BlipVQAModelTester',
									    'BlipVisionModelTest': 'BlipVisionModelTester',
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									UpperCAmelCase__             =							get_model_to_test_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_model_to_test_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{
									    'BertForMaskedLM': ['BertModelTest'],
									    'BertForMultipleChoice': ['BertModelTest'],
									    'BertForNextSentencePrediction': ['BertModelTest'],
									    'BertForPreTraining': ['BertModelTest'],
									    'BertForQuestionAnswering': ['BertModelTest'],
									    'BertForSequenceClassification': ['BertModelTest'],
									    'BertForTokenClassification': ['BertModelTest'],
									    'BertLMHeadModel': ['BertModelTest'],
									    'BertModel': ['BertModelTest'],
									}

									UpperCAmelCase__             =							{
									    'BlipForConditionalGeneration': ['BlipTextImageModelTest'],
									    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTest'],
									    'BlipForQuestionAnswering': ['BlipVQAModelTest'],
									    'BlipModel': ['BlipModelTest'],
									    'BlipTextModel': ['BlipTextModelTest'],
									    'BlipVisionModel': ['BlipVisionModelTest'],
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	int			):
									UpperCAmelCase__             =							get_model_to_tester_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_model_to_tester_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{
									    'BertForMaskedLM': ['BertModelTester'],
									    'BertForMultipleChoice': ['BertModelTester'],
									    'BertForNextSentencePrediction': ['BertModelTester'],
									    'BertForPreTraining': ['BertModelTester'],
									    'BertForQuestionAnswering': ['BertModelTester'],
									    'BertForSequenceClassification': ['BertModelTester'],
									    'BertForTokenClassification': ['BertModelTester'],
									    'BertLMHeadModel': ['BertModelTester'],
									    'BertModel': ['BertModelTester'],
									}

									UpperCAmelCase__             =							{
									    'BlipForConditionalGeneration': ['BlipTextImageModelsModelTester'],
									    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTester'],
									    'BlipForQuestionAnswering': ['BlipVQAModelTester'],
									    'BlipModel': ['BlipModelTester'],
									    'BlipTextModel': ['BlipTextModelTester'],
									    'BlipVisionModel': ['BlipVisionModelTester'],
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)



