


"""simple docstring"""
from __future__ import annotations







def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					Optional[int]:
							snake_case_     							=		[0] * len(_lowerCamelCase					)
							for i in range(1					,			len(_lowerCamelCase					)					):
														snake_case_     							=		duration_times[i - 1] + waiting_times[i - 1]
							return waiting_times







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					int:
							return [
							    duration_time + waiting_times[i]
							    for i, duration_time in enumerate(_lowerCamelCase					)
							]







def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					List[Any]:
							return sum(_lowerCamelCase					) / len(_lowerCamelCase					)







def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					List[Any]:
							return sum(_lowerCamelCase					) / len(_lowerCamelCase					)


if __name__ == "__main__":
				# process id's
				__SCREAMING_SNAKE_CASE				:     Tuple		=     [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
				__SCREAMING_SNAKE_CASE				:     List[str]		=     [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
				__SCREAMING_SNAKE_CASE				:     Dict		=     calculate_waiting_times(duration_times)
				__SCREAMING_SNAKE_CASE				:     int		=     calculate_turnaround_times(duration_times, waiting_times)

				# get the average times
				__SCREAMING_SNAKE_CASE				:     str		=     calculate_average_waiting_time(waiting_times)
				__SCREAMING_SNAKE_CASE				:     int		=     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}""")




from typing import TYPE_CHECKING

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


UpperCamelCase    				=		{'''configuration_vit_hybrid''': ['''VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTHybridConfig''']}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		[
          '''VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ViTHybridForImageClassification''',
          '''ViTHybridModel''',
          '''ViTHybridPreTrainedModel''',
      ]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		['''ViTHybridImageProcessor''']


if TYPE_CHECKING:
      from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_vit_hybrid import (
                VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
                ViTHybridForImageClassification,
                ViTHybridModel,
                ViTHybridPreTrainedModel,
            )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
      import sys

      UpperCamelCase    				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



