



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}''')










'''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__)





