


from __future__ import annotations

from statistics import mean


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     List[str]					=		[0] * no_of_processes
						__SCREAMING_SNAKE_CASE						:     Tuple					=		[0] * no_of_processes

						# Initialize remaining_time to waiting_time.

						for i in range(lowercase__      ):
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		burst_time[i]
						__SCREAMING_SNAKE_CASE						:     list[int]					=		[]

						__SCREAMING_SNAKE_CASE						:     List[Any]					=		0
						__SCREAMING_SNAKE_CASE						:     Any					=		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:
												__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		[]
												__SCREAMING_SNAKE_CASE						:     Tuple					=		-1

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

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

						return waiting_time


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     str					=		[0] * no_of_processes
						for i in range(lowercase__      ):
												__SCREAMING_SNAKE_CASE						:     Dict					=		burst_time[i] + waiting_time[i]
						return turn_around_time


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

						__lowerCAmelCase	: Union[str, Any]  				=4
						__lowerCAmelCase	: str  				=[2, 5, 3, 7]
						__lowerCAmelCase	: Optional[int]  				=[0, 0, 0, 0]
						__lowerCAmelCase	: int  				=calculate_waitingtime(arrival_time, burst_time, no_of_processes)
						__lowerCAmelCase	: List[Any]  				=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}""")






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_UpperCAmelCase		:  int	=   {"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  List[str]	=   [
         "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "SwinForImageClassification",
         "SwinForMaskedImageModeling",
         "SwinModel",
         "SwinPreTrainedModel",
         "SwinBackbone",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  int	=   [
         "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "TFSwinForImageClassification",
         "TFSwinForMaskedImageModeling",
         "TFSwinModel",
         "TFSwinPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_swin import (
              SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwinBackbone,
              SwinForImageClassification,
              SwinForMaskedImageModeling,
              SwinModel,
              SwinPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_swin import (
              TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFSwinForImageClassification,
              TFSwinForMaskedImageModeling,
              TFSwinModel,
              TFSwinPreTrainedModel,
          )

else:
     import sys

     _UpperCAmelCase		:  int	=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



