






from typing import TYPE_CHECKING

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


snake_case_   :	Optional[Any]							      ={
    '''configuration_oneformer''': ['''ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OneFormerConfig'''],
    '''processing_oneformer''': ['''OneFormerProcessor'''],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_   :	Any							      =['''OneFormerImageProcessor''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_   :	Union[str, Any]							      =[
					    '''ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''OneFormerForUniversalSegmentation''',
					    '''OneFormerModel''',
					    '''OneFormerPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
					from .processing_oneformer import OneFormerProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_oneformer import OneFormerImageProcessor
					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_oneformer import (
										    ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    OneFormerForUniversalSegmentation,
										    OneFormerModel,
										    OneFormerPreTrainedModel,
										)


else:
					import sys

					snake_case_   :	List[Any]							      =_LazyModule(__name__, globals()['''__file__'''], _import_structure)



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

from statistics import mean
def 					a__ ( a :					list[int]		):

  """simple docstring"""







  _snake_case  :    List[str]            = 2
  _snake_case  :    Union[str, Any]            = list(a		)
  _snake_case  :    Any            = [0] * len(a		)
  _snake_case  :    Any            = 0
  while True:
    _snake_case  :    str            = True
    for i, burst_time in enumerate(a		):
      if rem_burst_times[i] > 0:
        _snake_case  :    str            = False
        if rem_burst_times[i] > quantum:
          t += quantum
          rem_burst_times[i] -= quantum
        else:
          t += rem_burst_times[i]
          _snake_case  :    int            = t - burst_time
          _snake_case  :    Dict            = 0
    if done is True:
      return waiting_times
def 					a__ ( a :					list[int]							,  a :					list[int]		):

  """simple docstring"""







  return [burst + waiting for burst, waiting in zip(a							,  a		)]


if __name__ == "__main__":
    _a   :      Dict       =				[3, 5, 7]
    _a   :      Dict       =				calculate_waiting_times(burst_times)
    _a   :      Tuple       =				calculate_turn_around_times(burst_times, waiting_times)
    print("""Process ID \tBurst Time \tWaiting Time \tTurnaround Time""")
    for i, burst_time in enumerate(burst_times):
        print(
            f'  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  '
            f'{turn_around_times[i]}'
        )
    print(f'\nAverage waiting time = {mean(waiting_times):.5f}')
    print(f'Average turn around time = {mean(turn_around_times):.5f}')

