





import copy
from typing import Dict

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


UpperCAmelCase__    :      str       					=logging.get_logger(__name__)

class    __A  (    SCREAMING_SNAKE_CASE__     ):
				__A  =					'''semantic'''


				def __init__(		self ,			UpperCAmelCase_=10000 ,			UpperCAmelCase_=True ,			UpperCAmelCase_=768 ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=0.7 ,			UpperCAmelCase_=True ,			UpperCAmelCase_=10048 ,			UpperCAmelCase_=129595 ,			UpperCAmelCase_=129599 ,			UpperCAmelCase_=10000 ,			UpperCAmelCase_=256 ,			UpperCAmelCase_=4_9.9 ,			**UpperCAmelCase_ ,			):
								super().__init__(
								    temperature=A__ ,			do_sample=A__ ,			eos_token_id=A__ ,			renormalize_logits=A__ ,			max_new_tokens=A__ ,			output_scores=A__ ,			return_dict_in_generate=A__ ,			output_hidden_states=A__ ,			output_attentions=A__ ,			**A__ ,			)

								lowerCamelCase									=text_encoding_offset
								lowerCamelCase									=text_pad_token
								lowerCamelCase									=eos_token_id
								lowerCamelCase									=semantic_infer_token
								lowerCamelCase									=semantic_vocab_size
								lowerCamelCase									=max_input_semantic_length
								lowerCamelCase									=semantic_rate_hz




class    __A  (    SCREAMING_SNAKE_CASE__     ):
				__A  =					'''coarse_acoustics'''


				def __init__(		self ,			UpperCAmelCase_=True ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=False ,			UpperCAmelCase_=0.7 ,			UpperCAmelCase_=True ,			UpperCAmelCase_=12048 ,			UpperCAmelCase_=75 ,			UpperCAmelCase_=2 ,			UpperCAmelCase_=12050 ,			UpperCAmelCase_=256 ,			UpperCAmelCase_ = 630 ,			UpperCAmelCase_ = 60 ,			**UpperCAmelCase_ ,			):
								super().__init__(
								    temperature=A__ ,			do_sample=A__ ,			renormalize_logits=A__ ,			output_scores=A__ ,			return_dict_in_generate=A__ ,			output_hidden_states=A__ ,			output_attentions=A__ ,			**A__ ,			)

								lowerCamelCase									=coarse_semantic_pad_token
								lowerCamelCase									=coarse_rate_hz
								lowerCamelCase									=n_coarse_codebooks
								lowerCamelCase									=coarse_infer_token
								lowerCamelCase									=max_coarse_input_length
								lowerCamelCase									=max_coarse_history
								lowerCamelCase									=sliding_window_len




class    __A  (    SCREAMING_SNAKE_CASE__     ):
				__A  =					'''fine_acoustics'''


				def __init__(		self ,			UpperCAmelCase_=0.5 ,			UpperCAmelCase_=512 ,			UpperCAmelCase_=1024 ,			UpperCAmelCase_=8 ,			**UpperCAmelCase_ ,			):
								super().__init__(temperature=A__				)

								lowerCamelCase									=max_fine_history_length
								lowerCamelCase									=max_fine_input_length
								lowerCamelCase									=n_fine_codebooks




class    __A  (    SCREAMING_SNAKE_CASE__     ):
				__A  =					'''bark'''
				__A  =					True


				def __init__(		self ,			UpperCAmelCase_ = None ,			UpperCAmelCase_ = None ,			UpperCAmelCase_ = None ,			UpperCAmelCase_=24000 ,			UpperCAmelCase_=1024 ,			**UpperCAmelCase_ ,			):
								if semantic_config is None:
												lowerCamelCase									={}
												logger.info("""semantic_config is None. initializing the semantic model with default values."""				)

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

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

								lowerCamelCase									=BarkSemanticGenerationConfig(**A__				)
								lowerCamelCase									=BarkCoarseGenerationConfig(**A__				)
								lowerCamelCase									=BarkFineGenerationConfig(**A__				)

								lowerCamelCase									=sample_rate
								lowerCamelCase									=codebook_size


				@classmethod
				def _snake_case							(		cls ,			UpperCAmelCase_ ,			UpperCAmelCase_ ,			UpperCAmelCase_ ,			**UpperCAmelCase_ ,			):
								return cls(
								    semantic_config=semantic_config.to_dict() ,			coarse_acoustics_config=coarse_acoustics_config.to_dict() ,			fine_acoustics_config=fine_acoustics_config.to_dict() ,			**A__ ,			)


				def _snake_case							(		self				):
								lowerCamelCase									=copy.deepcopy(self.__dict__				)

								lowerCamelCase									=self.semantic_config.to_dict()
								lowerCamelCase									=self.coarse_acoustics_config.to_dict()
								lowerCamelCase									=self.fine_acoustics_config.to_dict()

								lowerCamelCase									=self.__class__.model_type
								return output







def 			UpperCamelCase       (				lowerCAmelCase__ = 30						):
					'''simple docstring'''
					lowercase		      =		exponent + 2
					lowercase		      =		(1 + 5**0.5) / 2
					lowercase		      =		(phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

					return int(lowerCAmelCase__						)


if __name__ == "__main__":
							print(F'{solution() = }')




