


"""simple docstring"""







from __future__ import annotations


def      lowercase			(				A_ = 4       )->      int:
  '''simple docstring'''







  a						:		Union[str, Any]      							=			abs(lowerCAmelCase_       ) or 4
  return [[1 + x + y * row_size for x in range(lowerCAmelCase_       )] for y in range(lowerCAmelCase_       )]


def      lowercase			(				A_       )->      List[str]:
  '''simple docstring'''







  return reverse_row(transpose(lowerCAmelCase_       )       )
  # OR.. transpose(reverse_column(matrix))


def      lowercase			(				A_       )->      Any:
  '''simple docstring'''







  return reverse_row(reverse_column(lowerCAmelCase_       )       )
  # OR.. reverse_column(reverse_row(matrix))


def      lowercase			(				A_       )->      List[str]:
  '''simple docstring'''







  return reverse_column(transpose(lowerCAmelCase_       )       )
  # OR.. transpose(reverse_row(matrix))


def      lowercase			(				A_       )->      Any:
  '''simple docstring'''







  a						:		List[str]      							=			[list(lowerCAmelCase_       ) for x in zip(*lowerCAmelCase_       )]
  return matrix


def      lowercase			(				A_       )->      List[str]:
  '''simple docstring'''







  a						:		int      							=			matrix[::-1]
  return matrix


def      lowercase			(				A_       )->      Tuple:
  '''simple docstring'''







  a						:		int      							=			[x[::-1] for x in matrix]
  return matrix


def      lowercase			(				A_       )->      Tuple:
  '''simple docstring'''







  for i in matrix:
    print(*lowerCAmelCase_       )


if __name__ == "__main__":
 __lowercase    					=      make_matrix()
 print("""\norigin:\n""")
 print_matrix(matrix)
 print("""\nrotate 90 counterclockwise:\n""")
 print_matrix(rotate_aa(matrix))

 __lowercase    					=      make_matrix()
 print("""\norigin:\n""")
 print_matrix(matrix)
 print("""\nrotate 180:\n""")
 print_matrix(rotate_aaa(matrix))

 __lowercase    					=      make_matrix()
 print("""\norigin:\n""")
 print_matrix(matrix)
 print("""\nrotate 270 counterclockwise:\n""")
 print_matrix(rotate_aaa(matrix))










"""simple docstring"""







from __future__ import annotations

import pandas as pd




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				[0] * no_of_processes
					__SCREAMING_SNAKE_CASE						   =				[0] * no_of_processes
					# Copy the burst time into remaining_time[]
					for i in range(lowerCAmelCase_   ):
										__SCREAMING_SNAKE_CASE						   =				burst_time[i]

					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				9_9999_9999
					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				False

					# Process until all processes are completed
					while complete != no_of_processes:
										for j in range(lowerCAmelCase_   ):
															if arrival_time[j] <= increment_time and remaining_time[j] > 0:
																				if remaining_time[j] < minm:
																									__SCREAMING_SNAKE_CASE						   =				remaining_time[j]
																									__SCREAMING_SNAKE_CASE						   =				j
																									__SCREAMING_SNAKE_CASE						   =				True

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

										__SCREAMING_SNAKE_CASE						   =				remaining_time[short]
										if minm == 0:
															__SCREAMING_SNAKE_CASE						   =				9_9999_9999

										if remaining_time[short] == 0:
															complete += 1
															__SCREAMING_SNAKE_CASE						   =				False

															# Find finish time of current process
															__SCREAMING_SNAKE_CASE						   =				increment_time + 1

															# Calculate waiting time
															__SCREAMING_SNAKE_CASE						   =				finish_time - arrival_time[short]
															__SCREAMING_SNAKE_CASE						   =				finar - burst_time[short]

															if waiting_time[short] < 0:
																				__SCREAMING_SNAKE_CASE						   =				0

        # Increment time
										increment_time += 1
					return waiting_time




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				[0] * no_of_processes
					for i in range(lowerCAmelCase_   ):
										__SCREAMING_SNAKE_CASE						   =				burst_time[i] + waiting_time[i]
					return turn_around_time




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				0
					for i in range(lowerCAmelCase_   ):
										__SCREAMING_SNAKE_CASE						   =				total_waiting_time + waiting_time[i]
										__SCREAMING_SNAKE_CASE						   =				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''')
		a__				:							Optional[Any]						=     int(input())
		a__				:							Optional[int]						=     [0] * no_of_processes
		a__				:							int						=     [0] * no_of_processes
		a__				:							List[Any]						=     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))
				a__			,     a__				:							Tuple						=     map(int, input().split())

		a__				:							int						=     calculate_waitingtime(arrival_time, burst_time, no_of_processes)

		a__				:							Dict						=     burst_time
		a__				:							Any						=     no_of_processes
		a__				:							Optional[int]						=     waiting_time
		a__				:							Union[str, Any]						=     calculate_turnaroundtime(bt, n, wt)

		calculate_average_times(waiting_time, turn_around_time, no_of_processes)

		a__				:							str						=     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)
