
"""simple docstring"""





import copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


_a	 =							logging.get_logger(__name__)


class A_			(lowercase__   ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__    :		Optional[Any]						  =	"""semantic"""







  def __init__(	self       ,     lowercase_=1_0000       ,     lowercase_=True       ,     lowercase_=768       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=0.7       ,     lowercase_=True       ,     lowercase_=1_0048       ,     lowercase_=12_9595       ,     lowercase_=12_9599       ,     lowercase_=1_0000       ,     lowercase_=256       ,     lowercase_=49.9       ,     **lowercase_       ,     ):

     """simple docstring"""
     super().__init__(
         temperature=lowercase_       ,     do_sample=lowercase_       ,     eos_token_id=lowercase_       ,     renormalize_logits=lowercase_       ,     max_new_tokens=lowercase_       ,     output_scores=lowercase_       ,     return_dict_in_generate=lowercase_       ,     output_hidden_states=lowercase_       ,     output_attentions=lowercase_       ,     **lowercase_       ,     )

     UpperCAmelCase_      :      Dict      =					text_encoding_offset
     UpperCAmelCase_      :      Dict      =					text_pad_token
     UpperCAmelCase_      :      Optional[int]      =					eos_token_id
     UpperCAmelCase_      :      Optional[Any]      =					semantic_infer_token
     UpperCAmelCase_      :      Tuple      =					semantic_vocab_size
     UpperCAmelCase_      :      Dict      =					max_input_semantic_length
     UpperCAmelCase_      :      List[Any]      =					semantic_rate_hz




class A_			(lowercase__   ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__    :		Any						  =	"""coarse_acoustics"""







  def __init__(	self       ,     lowercase_=True       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=False       ,     lowercase_=0.7       ,     lowercase_=True       ,     lowercase_=1_2048       ,     lowercase_=75       ,     lowercase_=2       ,     lowercase_=1_2050       ,     lowercase_=256       ,     lowercase_ = 630       ,     lowercase_ = 60       ,     **lowercase_       ,     ):

     """simple docstring"""
     super().__init__(
         temperature=lowercase_       ,     do_sample=lowercase_       ,     renormalize_logits=lowercase_       ,     output_scores=lowercase_       ,     return_dict_in_generate=lowercase_       ,     output_hidden_states=lowercase_       ,     output_attentions=lowercase_       ,     **lowercase_       ,     )

     UpperCAmelCase_      :      Optional[int]      =					coarse_semantic_pad_token
     UpperCAmelCase_      :      List[str]      =					coarse_rate_hz
     UpperCAmelCase_      :      List[str]      =					n_coarse_codebooks
     UpperCAmelCase_      :      Optional[Any]      =					coarse_infer_token
     UpperCAmelCase_      :      List[Any]      =					max_coarse_input_length
     UpperCAmelCase_      :      Optional[Any]      =					max_coarse_history
     UpperCAmelCase_      :      Dict      =					sliding_window_len




class A_			(lowercase__   ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__    :		Dict						  =	"""fine_acoustics"""







  def __init__(	self       ,     lowercase_=0.5       ,     lowercase_=512       ,     lowercase_=1024       ,     lowercase_=8       ,     **lowercase_       ,     ):

     """simple docstring"""
     super().__init__(temperature=lowercase_						)

     UpperCAmelCase_      :      Optional[int]      =					max_fine_history_length
     UpperCAmelCase_      :      Any      =					max_fine_input_length
     UpperCAmelCase_      :      Optional[int]      =					n_fine_codebooks




class A_			(lowercase__   ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__    :		Tuple						  =	"""bark"""
  SCREAMING_SNAKE_CASE__    :		Any						  =	True







  def __init__(	self       ,     lowercase_ = None       ,     lowercase_ = None       ,     lowercase_ = None       ,     lowercase_=2_4000       ,     lowercase_=1024       ,     **lowercase_       ,     ):

     """simple docstring"""
     if semantic_config is None:
        UpperCAmelCase_      :      Optional[int]      =					{}
        logger.info("semantic_config is None. initializing the semantic model with default values."						)

     if coarse_acoustics_config is None:
        UpperCAmelCase_      :      Tuple      =					{}
        logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."						)

     if fine_acoustics_config is None:
        UpperCAmelCase_      :      str      =					{}
        logger.info("fine_acoustics_config is None. initializing the fine model with default values."						)

     UpperCAmelCase_      :      List[Any]      =					BarkSemanticGenerationConfig(**lowercase_						)
     UpperCAmelCase_      :      int      =					BarkCoarseGenerationConfig(**lowercase_						)
     UpperCAmelCase_      :      Tuple      =					BarkFineGenerationConfig(**lowercase_						)

     UpperCAmelCase_      :      List[str]      =					sample_rate
     UpperCAmelCase_      :      List[str]      =					codebook_size







  @classmethod
  def  UpperCamelCase__      (	cls       ,     lowercase_       ,     lowercase_       ,     lowercase_       ,     **lowercase_       ,     ):

     """simple docstring"""
     return cls(
         semantic_config=semantic_config.to_dict()       ,     coarse_acoustics_config=coarse_acoustics_config.to_dict()       ,     fine_acoustics_config=fine_acoustics_config.to_dict()       ,     **lowercase_       ,     )







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Any      =					copy.deepcopy(self.__dict__						)

     UpperCAmelCase_      :      Dict      =					self.semantic_config.to_dict()
     UpperCAmelCase_      :      Any      =					self.coarse_acoustics_config.to_dict()
     UpperCAmelCase_      :      Union[str, Any]      =					self.fine_acoustics_config.to_dict()

     UpperCAmelCase_      :      Dict      =					self.__class__.model_type
     return output




"""simple docstring"""





from __future__ import annotations

from statistics import mean







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







def 			__a  (	__lowerCamelCase,	__lowerCamelCase						):
   return [burst + waiting for burst, waiting in zip(__lowerCamelCase,	__lowerCamelCase						)]


if __name__ == "__main__":
    _a	 =							[3, 5, 7]
    _a	 =							calculate_waiting_times(burst_times)
    _a	 =							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}""")


