

'''simple docstring'''





from __future__ import annotations

import pandas as pd






def 				_lowerCAmelCase			(   __magic_name__						:     List[str]   , __magic_name__						:     List[str]   , __magic_name__						:     Union[str, Any]						)				->  Union[str, Any]:
						lowercase :							Tuple    		=[0] * no_of_processes
						lowercase :							Union[str, Any]    		=[0] * no_of_processes
						# Copy the burst time into remaining_time[]
						for i in range(__magic_name__						):
												lowercase :							Dict    		=burst_time[i]

						lowercase :							Optional[Any]    		=0
						lowercase :							Union[str, Any]    		=0
						lowercase :							Optional[int]    		=999999999
						lowercase :							Dict    		=0
						lowercase :							List[Any]    		=False

						# Process until all processes are completed
						while complete != no_of_processes:
												for j in range(__magic_name__						):
																		if arrival_time[j] <= increment_time and remaining_time[j] > 0:
																								if remaining_time[j] < minm:
																														lowercase :							int    		=remaining_time[j]
																														lowercase :							Tuple    		=j
																														lowercase :							List[Any]    		=True

												if not check:
																		increment_time += 1
																		continue
												remaining_time[short] -= 1

												lowercase :							Any    		=remaining_time[short]
												if minm == 0:
																		lowercase :							Any    		=999999999

												if remaining_time[short] == 0:
																		complete += 1
																		lowercase :							Optional[int]    		=False

																		# Find finish time of current process
																		lowercase :							Optional[Any]    		=increment_time + 1

																		# Calculate waiting time
																		lowercase :							Any    		=finish_time - arrival_time[short]
																		lowercase :							str    		=finar - burst_time[short]

																		if waiting_time[short] < 0:
																								lowercase :							Any    		=0

        # Increment time
												increment_time += 1
						return waiting_time






def 				_lowerCAmelCase			(   __magic_name__						:     Dict   , __magic_name__						:     Optional[int]   , __magic_name__						:     Tuple						)				->  Any:
						lowercase :							Any    		=[0] * no_of_processes
						for i in range(__magic_name__						):
												lowercase :							Any    		=burst_time[i] + waiting_time[i]
						return turn_around_time






def 				_lowerCAmelCase			(   __magic_name__						:     Union[str, Any]   , __magic_name__						:     Tuple   , __magic_name__						:     Dict						)				->  Optional[Any]:
						lowercase :							str    		=0
						lowercase :							Tuple    		=0
						for i in range(__magic_name__						):
												lowercase :							Optional[Any]    		=total_waiting_time + waiting_time[i]
												lowercase :							int    		=total_turn_around_time + turn_around_time[i]
						print(f'''Average waiting time = {total_waiting_time / no_of_processes:.5f}'''						)
						print('''Average turn around time ='''   , total_turn_around_time / no_of_processes						)


if __name__ == "__main__":
							print("""Enter how many process you want to analyze""")
							UpperCamelCase_    						=       int(input())
							UpperCamelCase_    						=       [0] * no_of_processes
							UpperCamelCase_    						=       [0] * no_of_processes
							UpperCamelCase_    						=       list(range(1, no_of_processes + 1))

							for i in range(no_of_processes):
														print("""Enter the arrival time and burst time for process:--""" + str(i + 1))
														UpperCamelCase_						,   UpperCamelCase_    						=       map(int, input().split())

							UpperCamelCase_    						=       calculate_waitingtime(arrival_time, burst_time, no_of_processes)

							UpperCamelCase_    						=       burst_time
							UpperCamelCase_    						=       no_of_processes
							UpperCamelCase_    						=       waiting_time
							UpperCamelCase_    						=       calculate_turnaroundtime(bt, n, wt)

							calculate_average_times(waiting_time, turn_around_time, no_of_processes)

							UpperCamelCase_    						=       pd.DataFrame(
							    list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
							    columns=[
							        """Process""",
							        """BurstTime""",
							        """ArrivalTime""",
							        """WaitingTime""",
							        """TurnAroundTime""",
							    ],
							)

							# Printing the dataFrame
							pd.set_option("""display.max_rows""", fcfs.shape[0] + 1)
							print(fcfs)












def 				_UpperCAmelCase			(    A     ):




   '''simple docstring'''

   for i in range(len(A     ) - 1				,							0				,							-1     ):
      UpperCAmelCase__						=False

      for j in range(A				,							0				,							-1     ):
         if unsorted[j] < unsorted[j - 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j - 1], unsorted[j]
            UpperCAmelCase__						=True

      for j in range(A     ):
         if unsorted[j] > unsorted[j + 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j + 1], unsorted[j]
            UpperCAmelCase__						=True

      if not swapped:
         break
   return unsorted


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    UpperCamelCase_												=	input('Enter numbers separated by a comma:\n').strip()
    UpperCamelCase_												=	[int(item) for item in user_input.split(',')]
    print(f"""{cocktail_shaker_sort(unsorted) = }""")



