



'''simple docstring'''

from __future__ import annotations

from statistics import mean



def 	__lowerCamelCase	( lowerCAmelCase_		,     lowerCAmelCase_		,     lowerCAmelCase_    )     -> list[int]:
		_a	: Any								=				[0] * no_of_processes
		_a	: str								=				[0] * no_of_processes

		# Initialize remaining_time to waiting_time.

		for i in range(lowerCAmelCase_    ):
				_a	: List[str]								=				burst_time[i]
		_a	: list[int]								=				[]

		_a	: List[str]								=				0
		_a	: Tuple								=				0

		# When processes are not completed,
		# A process whose arrival time has passed \
		# and has remaining execution time is put into the ready_process.
		# The shortest process in the ready_process, target_process is executed.

		while completed != no_of_processes:
				_a	: Dict								=				[]
				_a	: Union[str, Any]								=				-1

				for i in range(lowerCAmelCase_    ):
						if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
								ready_process.append(lowerCAmelCase_    )

				if len(lowerCAmelCase_    ) > 0:
						_a	: int								=				ready_process[0]
						for i in ready_process:
								if remaining_time[i] < remaining_time[target_process]:
										_a	: List[Any]								=				i
						total_time += burst_time[target_process]
						completed += 1
						_a	: int								=				0
						_a	: List[Any]								=				(
						    total_time - arrival_time[target_process] - burst_time[target_process]
						)
				else:
						total_time += 1

		return waiting_time



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


if __name__ == "__main__":
							print('''[TEST CASE 01]''')

							__lowerCAmelCase		     =  4
							__lowerCAmelCase		     =  [2, 5, 3, 7]
							__lowerCAmelCase		     =  [0, 0, 0, 0]
							__lowerCAmelCase		     =  calculate_waitingtime(arrival_time, burst_time, no_of_processes)
							__lowerCAmelCase		     =  calculate_turnaroundtime(
							    burst_time, no_of_processes, waiting_time
							)

							# Printing the Result
							print('''PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time''')
							for i, process_id in enumerate(list(range(1, 5))):
														print(
														    f"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
														    f"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
														)
							print(f"""\nAverage waiting time = {mean(waiting_time):.5f}""")
							print(f"""Average turnaround time = {mean(turn_around_time):.5f}""")









'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


__lowerCAmelCase		     =  logging.get_logger(__name__)

class       __magic_name__		(       _UpperCamelCase  ):







							def __init__(				self   :			Optional[int]      ,*_UpperCAmelCase   :			List[Any]      ,**_UpperCAmelCase   :			Union[str, Any]						):
									warnings.warn(
									    'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
									    ' use GLPNImageProcessor instead.'      ,_UpperCAmelCase      ,)
									super().__init__(*_UpperCAmelCase      ,**_UpperCAmelCase						)




