


from typing import TYPE_CHECKING

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


__lowerCamelCase       :       Dict				   =			{
    "configuration_deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCamelCase       :       Any				   =			["DeformableDetrFeatureExtractor"]
						__lowerCamelCase       :       str				   =			["DeformableDetrImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCamelCase       :       Dict				   =			[
						    "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "DeformableDetrForObjectDetection",
						    "DeformableDetrModel",
						    "DeformableDetrPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
												from .image_processing_deformable_detr import DeformableDetrImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_deformable_detr import (
												    DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
												    DeformableDetrForObjectDetection,
												    DeformableDetrModel,
												    DeformableDetrPreTrainedModel,
												)

else:
						import sys

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







from __future__ import annotations



def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							list[int]:
				A__     :							Optional[int]   				=[0] * len(snake_case_	)
				for i in range(1,	len(snake_case_	)	):
								A__     :							List[Any]   				=duration_times[i - 1] + waiting_times[i - 1]
				return waiting_times



def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_	)			->							list[int]:
				return [
				    duration_time + waiting_times[i]
				    for i, duration_time in enumerate(snake_case_	)
				]



def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							float:
				return sum(snake_case_	) / len(snake_case_	)



def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							float:
				return sum(snake_case_	) / len(snake_case_	)


if __name__ == "__main__":
						# process id's
						__lowerCamelCase       :       List[str]				   =			[1, 2, 3]

						# ensure that we actually have processes
						if len(processes) == 0:
												print("Zero amount of processes")
												raise SystemExit(0)

						# duration time of all processes
						__lowerCamelCase       :       Dict				   =			[19, 8, 9]

						# ensure we can match each id to a duration time
						if len(duration_times) != len(processes):
												print("Unable to match all id's with their duration time")
												raise SystemExit(0)

						# get the waiting times and the turnaround times
						__lowerCamelCase       :       int				   =			calculate_waiting_times(duration_times)
						__lowerCamelCase       :       Optional[int]				   =			calculate_turnaround_times(duration_times, waiting_times)

						# get the average times
						__lowerCamelCase       :       List[str]				   =			calculate_average_waiting_time(waiting_times)
						__lowerCamelCase       :       Dict				   =			calculate_average_turnaround_time(turnaround_times)

						# print all the results
						print("Process ID\tDuration Time\tWaiting Time\tTurnaround Time")
						for i, process in enumerate(processes):
												print(
												    F"{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t"
												    F"{turnaround_times[i]}"
												)
						print(F"Average waiting time = {average_waiting_time}")
						print(F"Average turn around time = {average_turnaround_time}")



