




"""simple docstring"""

import copy
from typing import Dict

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


_lowerCamelCase					:     List[str]				       =    logging.get_logger(__name__)

class     lowercase (      A__):
    __lowerCAmelCase      :      int					    =				"""semantic"""







    def __init__(							self				:   Tuple ,       _lowerCamelCase				:   Dict=1_00_00 ,       _lowerCamelCase				:   Optional[int]=True ,       _lowerCamelCase				:   List[str]=7_68 ,       _lowerCamelCase				:   Tuple=False ,       _lowerCamelCase				:   Tuple=False ,       _lowerCamelCase				:   Any=False ,       _lowerCamelCase				:   Optional[Any]=False ,       _lowerCamelCase				:   Dict=0.7 ,       _lowerCamelCase				:   List[str]=True ,       _lowerCamelCase				:   Any=1_00_48 ,       _lowerCamelCase				:   Optional[int]=12_95_95 ,       _lowerCamelCase				:   Optional[Any]=12_95_99 ,       _lowerCamelCase				:   List[str]=1_00_00 ,       _lowerCamelCase				:   Optional[Any]=2_56 ,       _lowerCamelCase				:   Tuple=49.9 ,       **_lowerCamelCase				:   Optional[Any] ,       ):



     """simple docstring"""

     super().__init__(
         temperature=snake_case_ ,       do_sample=snake_case_ ,       eos_token_id=snake_case_ ,       renormalize_logits=snake_case_ ,       max_new_tokens=snake_case_ ,       output_scores=snake_case_ ,       return_dict_in_generate=snake_case_ ,       output_hidden_states=snake_case_ ,       output_attentions=snake_case_ ,       **snake_case_ ,       )

     A_					:			Optional[Any]						=						text_encoding_offset
     A_					:			Any						=						text_pad_token
     A_					:			Optional[Any]						=						eos_token_id
     A_					:			Optional[Any]						=						semantic_infer_token
     A_					:			Optional[int]						=						semantic_vocab_size
     A_					:			Any						=						max_input_semantic_length
     A_					:			Optional[Any]						=						semantic_rate_hz

class     lowercase (      A__):
    __lowerCAmelCase      :      Union[str, Any]					    =				"""coarse_acoustics"""







    def __init__(							self				:   Optional[int] ,       _lowerCamelCase				:   List[Any]=True ,       _lowerCamelCase				:   Tuple=False ,       _lowerCamelCase				:   Union[str, Any]=False ,       _lowerCamelCase				:   Union[str, Any]=False ,       _lowerCamelCase				:   Optional[Any]=False ,       _lowerCamelCase				:   int=0.7 ,       _lowerCamelCase				:   Optional[int]=True ,       _lowerCamelCase				:   List[Any]=1_20_48 ,       _lowerCamelCase				:   Any=75 ,       _lowerCamelCase				:   str=2 ,       _lowerCamelCase				:   Any=1_20_50 ,       _lowerCamelCase				:   Optional[Any]=2_56 ,       _lowerCamelCase				:   str = 6_30 ,       _lowerCamelCase				:   Tuple = 60 ,       **_lowerCamelCase				:   str ,       ):



     """simple docstring"""

     super().__init__(
         temperature=snake_case_ ,       do_sample=snake_case_ ,       renormalize_logits=snake_case_ ,       output_scores=snake_case_ ,       return_dict_in_generate=snake_case_ ,       output_hidden_states=snake_case_ ,       output_attentions=snake_case_ ,       **snake_case_ ,       )

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

class     lowercase (      A__):
    __lowerCAmelCase      :      Union[str, Any]					    =				"""fine_acoustics"""







    def __init__(							self				:   Tuple ,       _lowerCamelCase				:   Dict=0.5 ,       _lowerCamelCase				:   Dict=5_12 ,       _lowerCamelCase				:   Optional[int]=10_24 ,       _lowerCamelCase				:   List[str]=8 ,       **_lowerCamelCase				:   List[Any] ,       ):



     """simple docstring"""

     super().__init__(temperature=snake_case_    )

     A_					:			Optional[int]						=						max_fine_history_length
     A_					:			List[Any]						=						max_fine_input_length
     A_					:			Dict						=						n_fine_codebooks

class     lowercase (      A__):
    __lowerCAmelCase      :      Tuple					    =				"""bark"""
    __lowerCAmelCase      :      Dict					    =				True







    def __init__(							self				:   List[Any] ,       _lowerCamelCase				:   List[str] = None ,       _lowerCamelCase				:   Any = None ,       _lowerCamelCase				:   str = None ,       _lowerCamelCase				:   List[Any]=2_40_00 ,       _lowerCamelCase				:   Tuple=10_24 ,       **_lowerCamelCase				:   Optional[int] ,       ):



     """simple docstring"""

     if semantic_config is None:
      A_					:			Optional[Any]						=						{}
      logger.info('''semantic_config is None. initializing the semantic model with default values.'''    )

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

     if fine_acoustics_config is None:
      A_					:			Union[str, Any]						=						{}
      logger.info('''fine_acoustics_config is None. initializing the fine model with default values.'''    )

     A_					:			List[Any]						=						BarkSemanticGenerationConfig(**snake_case_    )
     A_					:			Any						=						BarkCoarseGenerationConfig(**snake_case_    )
     A_					:			int						=						BarkFineGenerationConfig(**snake_case_    )

     A_					:			int						=						sample_rate
     A_					:			Optional[Any]						=						codebook_size







    @classmethod
    def    a_					(							cls				:   Union[str, Any] ,       _lowerCamelCase				:   List[str] ,       _lowerCamelCase				:   Any ,       _lowerCamelCase				:   Dict ,       **_lowerCamelCase				:   Union[str, Any] ,       ):



     """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() ,       **snake_case_ ,       )







    def    a_					(							self				:   Optional[Any]    ):



     """simple docstring"""

     A_					:			Union[str, Any]						=						copy.deepcopy(self.__dict__    )

     A_					:			Optional[Any]						=						self.semantic_config.to_dict()
     A_					:			List[Any]						=						self.coarse_acoustics_config.to_dict()
     A_					:			Any						=						self.fine_acoustics_config.to_dict()

     A_					:			Dict						=						self.__class__.model_type
     return output











"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


_lowerCamelCase					:     List[Any]				       =    logging.get_logger(__name__)

_lowerCamelCase					:     Dict				       =    {
    'uclanlp/plbart-base': 'https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json',
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}

class     lowercase (      __UpperCAmelCase):
				__lowerCAmelCase      :      List[str]					    =				"""plbart"""
				__lowerCAmelCase      :      int					    =				["""past_key_values"""]
				__lowerCAmelCase      :      Union[str, Any]					    =				{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







				def __init__(							self				:   Any ,       _lowerCamelCase				:   Any=5_00_05 ,       _lowerCamelCase				:   List[str]=10_24 ,       _lowerCamelCase				:   Union[str, Any]=6 ,       _lowerCamelCase				:   Any=30_72 ,       _lowerCamelCase				:   List[str]=12 ,       _lowerCamelCase				:   Tuple=6 ,       _lowerCamelCase				:   Dict=30_72 ,       _lowerCamelCase				:   Optional[int]=12 ,       _lowerCamelCase				:   Optional[int]=0.0 ,       _lowerCamelCase				:   Optional[int]=0.0 ,       _lowerCamelCase				:   Tuple=True ,       _lowerCamelCase				:   Optional[int]=True ,       _lowerCamelCase				:   str="gelu" ,       _lowerCamelCase				:   int=7_68 ,       _lowerCamelCase				:   Union[str, Any]=0.1 ,       _lowerCamelCase				:   Optional[Any]=0.1 ,       _lowerCamelCase				:   Tuple=0.0 ,       _lowerCamelCase				:   Optional[int]=0.02 ,       _lowerCamelCase				:   Dict=0.0 ,       _lowerCamelCase				:   Dict=True ,       _lowerCamelCase				:   List[str]=1 ,       _lowerCamelCase				:   str=0 ,       _lowerCamelCase				:   int=2 ,       _lowerCamelCase				:   str=2 ,       **_lowerCamelCase				:   Dict ,       ):



					"""simple docstring"""

					A_					:			int						=						vocab_size
					A_					:			Tuple						=						max_position_embeddings
					A_					:			Optional[Any]						=						d_model
					A_					:			Optional[int]						=						encoder_ffn_dim
					A_					:			Optional[int]						=						encoder_layers
					A_					:			List[str]						=						encoder_attention_heads
					A_					:			Dict						=						decoder_ffn_dim
					A_					:			List[str]						=						decoder_layers
					A_					:			str						=						decoder_attention_heads
					A_					:			List[Any]						=						dropout
					A_					:			int						=						attention_dropout
					A_					:			Dict						=						activation_dropout
					A_					:			int						=						activation_function
					A_					:			List[str]						=						init_std
					A_					:			int						=						encoder_layerdrop
					A_					:			int						=						decoder_layerdrop
					A_					:			Optional[int]						=						classifier_dropout
					A_					:			Optional[int]						=						use_cache
					A_					:			Dict						=						encoder_layers
					A_					:			int						=						scale_embedding  # scale factor will be sqrt(d_model) if True
					super().__init__(
					    pad_token_id=_lowerCamelCase ,       bos_token_id=_lowerCamelCase ,       eos_token_id=_lowerCamelCase ,       is_encoder_decoder=_lowerCamelCase ,       forced_eos_token_id=_lowerCamelCase ,       **_lowerCamelCase ,       )

class     lowercase (      __UpperCAmelCase):







				@property
				def    a_					(							self				:   Any    ):



					"""simple docstring"""

					return OrderedDict(
					    [
					        ('''input_ids''', {0: '''batch''', 1: '''sequence'''}),
					        ('''attention_mask''', {0: '''batch''', 1: '''sequence'''}),
					    ]    )







				@property
				def    a_					(							self				:   Dict    ):



					"""simple docstring"""

					if self.use_past:
						return OrderedDict(
						    [
						        ('''last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
						        ('''past_keys''', {0: '''batch''', 2: '''sequence'''}),
						        ('''encoder_last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
						    ]    )
					else:
						return OrderedDict(
						    [
						        ('''last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
						        ('''encoder_last_hidden_state''', {0: '''batch''', 1: '''sequence'''}),
						    ]    )





