
from __future__ import annotations

import pandas as pd


def    a      ( a		,						a		,						a	)     ->list[int]:




			'''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(a	):
						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(a	):
									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    a      ( a		,						a		,						a	)     ->list[int]:




			'''simple docstring'''


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


def    a      ( a		,						a		,						a	)     ->None:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= 0
			SCREAMING_SNAKE_CASE     						= 0
			for i in range(a	):
						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')
							__lowerCAmelCase					   =       int(input())
							__lowerCAmelCase					   =       [0] * no_of_processes
							__lowerCAmelCase					   =       [0] * no_of_processes
							__lowerCAmelCase					   =       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))
														__lowerCAmelCase   ,  __lowerCAmelCase					   =       map(int, input().split())

							__lowerCAmelCase					   =       calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

							calculate_average_times(waiting_time, turn_around_time, no_of_processes)

							__lowerCAmelCase					   =       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)

import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


__lowerCAmelCase					   =       logging.get_logger(__name__)





class     lowerCamelCase      (       __lowerCamelCase					):







	def __init__(     self      :List[Any]   ,     *lowercase      :List[str]   ,     **lowercase      :List[Any]			)		->      None:







				"""simple docstring"""






				warnings.warn(
				    '''The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use YolosImageProcessor instead.'''   ,     lowercase   ,     )
				super().__init__(*lowercase   ,     **lowercase			)