code: 
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  [0] * len(_A       )
   for i in range(1							,len(_A       )       ):
    __UpperCamelCase				      =  duration_times[i - 1] + waiting_times[i - 1]
   return waiting_times
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return [
       duration_time + waiting_times[i]
       for i, duration_time in enumerate(_A       )
   ]
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return sum(_A       ) / len(_A       )
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return sum(_A       ) / len(_A       )
  
  
  if __name__ == "__main__":
   # process id's
   a__						:			int										=			[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
   a__						:			Any										=			[1_9, 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
   a__						:			Tuple										=			calculate_waiting_times(duration_times)
   a__						:			Tuple										=			calculate_turnaround_times(duration_times, waiting_times)
  
   # get the average times
   a__						:			Union[str, Any]										=			calculate_average_waiting_time(waiting_times)
   a__						:			str										=			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}''')
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  a__						:			Optional[int]										=			{
      'configuration_bark': [
          'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'BarkCoarseConfig',
          'BarkConfig',
          'BarkFineConfig',
          'BarkSemanticConfig',
      ],
      'processing_bark': ['BarkProcessor'],
  }
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   a__						:			Any										=			[
       'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BarkFineModel',
       'BarkSemanticModel',
       'BarkCoarseModel',
       'BarkModel',
       'BarkPreTrainedModel',
       'BarkCausalModel',
   ]
  
  if TYPE_CHECKING:
   from .configuration_bark import (
       BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BarkCoarseConfig,
       BarkConfig,
       BarkFineConfig,
       BarkSemanticConfig,
   )
   from .processing_bark import BarkProcessor
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_bark import (
        BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
        BarkCausalModel,
        BarkCoarseModel,
        BarkFineModel,
        BarkModel,
        BarkPreTrainedModel,
        BarkSemanticModel,
    )
  
  else:
   import sys
  
   a__						:			Tuple										=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  
  