

from __future__ import annotations

import pandas as pd





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






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

							snake_case_          =   0
							snake_case_          =   0
							snake_case_          =   999999999
							snake_case_          =   0
							snake_case_          =   False

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

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

														snake_case_          =   remaining_time[short]
														if minm == 0:
																					snake_case_          =   999999999

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

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

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

																					if waiting_time[short] < 0:
																												snake_case_          =   0

        # Increment time
														increment_time += 1
							return waiting_time





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






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





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   0
							snake_case_          =   0
							for i in range(UpperCamelCase__				):
														snake_case_          =   total_waiting_time + waiting_time[i]
														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""")
					_UpperCAmelCase		:       Tuple						    =	int(input())
					_UpperCAmelCase		:       int						    =	[0] * no_of_processes
					_UpperCAmelCase		:       Tuple						    =	[0] * no_of_processes
					_UpperCAmelCase		:       Union[str, 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		:       List[str]						    =	map(int, input().split())

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

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

					calculate_average_times(waiting_time, turn_around_time, no_of_processes)

					_UpperCAmelCase		:       Tuple						    =	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)







from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel




