


from __future__ import annotations

import pandas as pd



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )-> list[int]:
				lowerCAmelCase_ :      Tuple    				=				[0] * no_of_processes
				lowerCAmelCase_ :      Any    				=				[0] * no_of_processes
				# Copy the burst time into remaining_time[]
				for i in range(lowerCAmelCase_ ):
								lowerCAmelCase_ :      Optional[int]    				=				burst_time[i]

				lowerCAmelCase_ :      str    				=				0
				lowerCAmelCase_ :      Optional[Any]    				=				0
				lowerCAmelCase_ :      Union[str, Any]    				=				999_999_999
				lowerCAmelCase_ :      Optional[int]    				=				0
				lowerCAmelCase_ :      str    				=				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:
																				lowerCAmelCase_ :      List[Any]    				=				remaining_time[j]
																				lowerCAmelCase_ :      List[Any]    				=				j
																				lowerCAmelCase_ :      Dict    				=				True

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

								lowerCAmelCase_ :      List[str]    				=				remaining_time[short]
								if minm == 0:
												lowerCAmelCase_ :      List[Any]    				=				999_999_999

								if remaining_time[short] == 0:
												complete += 1
												lowerCAmelCase_ :      Optional[Any]    				=				False

												# Find finish time of current process
												lowerCAmelCase_ :      Optional[int]    				=				increment_time + 1

												# Calculate waiting time
												lowerCAmelCase_ :      int    				=				finish_time - arrival_time[short]
												lowerCAmelCase_ :      str    				=				finar - burst_time[short]

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

        # Increment time
								increment_time += 1
				return waiting_time



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )-> list[int]:
				lowerCAmelCase_ :      List[Any]    				=				[0] * no_of_processes
				for i in range(lowerCAmelCase_ ):
								lowerCAmelCase_ :      int    				=				burst_time[i] + waiting_time[i]
				return turn_around_time



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )-> None:
				lowerCAmelCase_ :      Any    				=				0
				lowerCAmelCase_ :      Union[str, Any]    				=				0
				for i in range(lowerCAmelCase_ ):
								lowerCAmelCase_ :      Optional[Any]    				=				total_waiting_time + waiting_time[i]
								lowerCAmelCase_ :      Optional[Any]    				=				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			:  Any     =int(input())
						_UpperCAmelCase			:  List[Any]     =[0] * no_of_processes
						_UpperCAmelCase			:  str     =[0] * no_of_processes
						_UpperCAmelCase			:  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))
												_UpperCAmelCase     ,					_UpperCAmelCase			:  Optional[Any]     =map(int, input().split())

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

						_UpperCAmelCase			:  Tuple     =burst_time
						_UpperCAmelCase			:  List[str]     =no_of_processes
						_UpperCAmelCase			:  Dict     =waiting_time
						_UpperCAmelCase			:  int     =calculate_turnaroundtime(bt, n, wt)

						calculate_average_times(waiting_time, turn_around_time, no_of_processes)

						_UpperCAmelCase			:  Dict     =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)



_UpperCAmelCase			:  int     =frozenset(
    [
        """prompt""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

_UpperCAmelCase			:  List[Any]     =frozenset(["""prompt""", """negative_prompt"""])

_UpperCAmelCase			:  Dict     =frozenset([])

_UpperCAmelCase			:  int     =frozenset(["""image"""])

_UpperCAmelCase			:  Tuple     =frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase			:  int     =frozenset(["""image"""])

_UpperCAmelCase			:  str     =frozenset(
    [
        """prompt""",
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

_UpperCAmelCase			:  int     =frozenset(["""prompt""", """image""", """negative_prompt"""])

_UpperCAmelCase			:  Optional[int]     =frozenset(
    [
        # Text guided image variation with an image mask
        """prompt""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

_UpperCAmelCase			:  Optional[int]     =frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

_UpperCAmelCase			:  Optional[Any]     =frozenset(
    [
        # image variation with an image mask
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase			:  Optional[Any]     =frozenset(["""image""", """mask_image"""])

_UpperCAmelCase			:  Union[str, Any]     =frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

_UpperCAmelCase			:  Tuple     =frozenset(["""example_image""", """image""", """mask_image"""])

_UpperCAmelCase			:  Any     =frozenset(["""class_labels"""])

_UpperCAmelCase			:  List[Any]     =frozenset(["""class_labels"""])

_UpperCAmelCase			:  int     =frozenset(["""batch_size"""])

_UpperCAmelCase			:  str     =frozenset([])

_UpperCAmelCase			:  str     =frozenset(["""batch_size"""])

_UpperCAmelCase			:  Optional[Any]     =frozenset([])

_UpperCAmelCase			:  Tuple     =frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

_UpperCAmelCase			:  Tuple     =frozenset(["""prompt""", """negative_prompt"""])
_UpperCAmelCase			:  List[str]     =frozenset(["""input_tokens"""])

_UpperCAmelCase			:  Optional[Any]     =frozenset(["""input_tokens"""])