
from statistics import mean

import numpy as np
def    SCREAMING_SNAKE_CASE__		( lowerCAmelCase_				:			Optional[int]       ,lowerCAmelCase_				:			Dict       ,lowerCAmelCase_				:			Optional[int]       ,lowerCAmelCase_				:			int							)    ->   str:







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_	:							List[str]											=0
							# Number of processes finished
							SCREAMING_SNAKE_CASE_	:							Optional[int]											=0
							# Displays the finished process.
							# If it is 0, the performance is completed if it is 1, before the performance.
							SCREAMING_SNAKE_CASE_	:							Dict											=[0] * no_of_process
							# List to include calculation results
							SCREAMING_SNAKE_CASE_	:							str											=[0] * no_of_process

							# Sort by arrival time.
							SCREAMING_SNAKE_CASE_	:							List[Any]											=[burst_time[i] for i in np.argsort(lowerCAmelCase_							)]
							SCREAMING_SNAKE_CASE_	:							Tuple											=[process_name[i] for i in np.argsort(lowerCAmelCase_							)]
							arrival_time.sort()

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

														SCREAMING_SNAKE_CASE_	:							Tuple											=0
														# Index showing the location of the process being performed
														SCREAMING_SNAKE_CASE_	:							int											=0
														# Saves the current response ratio.
														SCREAMING_SNAKE_CASE_	:							List[Any]											=0
														for i in range(0       ,lowerCAmelCase_							):
																					if finished_process[i] == 0 and arrival_time[i] <= current_time:
																												SCREAMING_SNAKE_CASE_	:							Optional[int]											=(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
																												    i
																												]
																					if response_ratio < temp:
																												SCREAMING_SNAKE_CASE_	:							List[str]											=temp
																												SCREAMING_SNAKE_CASE_	:							Tuple											=i

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

							return turn_around_time
def    SCREAMING_SNAKE_CASE__		( lowerCAmelCase_				:			str       ,lowerCAmelCase_				:			Optional[Any]       ,lowerCAmelCase_				:			Any       ,lowerCAmelCase_				:			Optional[int]							)    ->   Optional[Any]:







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_	:							List[Any]											=[0] * no_of_process
							for i in range(0       ,lowerCAmelCase_							):
														SCREAMING_SNAKE_CASE_	:							int											=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}""")








from math import factorial, radians







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE = 18		,				SCREAMING_SNAKE_CASE = 10   ):
      '''simple docstring'''







      A_							       =		angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

      # Converting from degrees to radians
      A_							       =		radians(SCREAMING_SNAKE_CASE   )

      A_							       =		angle_in_radians
      A_							       =		3
      A_							       =		-1

      for _ in range(SCREAMING_SNAKE_CASE   ):
            result += (b * (angle_in_radians**a)) / factorial(SCREAMING_SNAKE_CASE   )

            A_							       =		-b  # One positive term and the next will be negative and so on...
            a += 2  # Increased by 2 for every term.

      return round(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
      __import__("""doctest""").testmod()





