


"""simple docstring"""




from __future__ import annotations

import pandas as pd





def       a_ (	lowercase__ :list[int],			lowercase__ :list[int],			lowercase__ :int     ):
			__lowerCamelCase          =      [0] * no_of_processes
			__lowerCamelCase          =      [0] * no_of_processes
			# Copy the burst time into remaining_time[]
			for i in range(lowercase__     ):
						__lowerCamelCase          =      burst_time[i]

			__lowerCamelCase          =      0
			__lowerCamelCase          =      0
			__lowerCamelCase          =      9_9999_9999
			__lowerCamelCase          =      0
			__lowerCamelCase          =      False

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

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

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

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

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

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

									if waiting_time[short] < 0:
												__lowerCamelCase          =      0

        # Increment time
						increment_time += 1
			return waiting_time





def       a_ (	lowercase__ :list[int],			lowercase__ :int,			lowercase__ :list[int]     ):
			__lowerCamelCase          =      [0] * no_of_processes
			for i in range(lowercase__     ):
						__lowerCamelCase          =      burst_time[i] + waiting_time[i]
			return turn_around_time





def       a_ (	lowercase__ :list[int],			lowercase__ :list[int],			lowercase__ :int     ):
			__lowerCamelCase          =      0
			__lowerCamelCase          =      0
			for i in range(lowercase__     ):
						__lowerCamelCase          =      total_waiting_time + waiting_time[i]
						__lowerCamelCase          =      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')
					__magic_name__						: List[Any]    =				int(input())
					__magic_name__						: Dict    =				[0] * no_of_processes
					__magic_name__						: Any    =				[0] * no_of_processes
					__magic_name__						: Tuple    =				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))
										__magic_name__  , __magic_name__						: Optional[Any]    =				map(int, input().split())

					__magic_name__						: Dict    =				calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

					calculate_average_times(waiting_time, turn_around_time, no_of_processes)

					__magic_name__						: 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)








"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__magic_name__						: Tuple    =				{}


try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__magic_name__						: str    =				['MLukeTokenizer']

if TYPE_CHECKING:
					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mluke import MLukeTokenizer


else:
					import sys

					__magic_name__						: int    =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




