






from collections import OrderedDict
from typing import Mapping

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


a 			=							logging.get_logger(__name__)

a 			=							{
    '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 							__snake_case(       __UpperCamelCase   ):
 lowercase			:							str		   =		'''plbart'''
 lowercase			:							Tuple		   =		['''past_key_values''']
 lowercase			:							Any		   =		{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}



 def __init__(						self : int			,		UpperCAmelCase__ : Tuple=50_005			,		UpperCAmelCase__ : Optional[int]=1_024			,		UpperCAmelCase__ : str=6			,		UpperCAmelCase__ : Dict=3_072			,		UpperCAmelCase__ : Any=12			,		UpperCAmelCase__ : Union[str, Any]=6			,		UpperCAmelCase__ : Tuple=3_072			,		UpperCAmelCase__ : Union[str, Any]=12			,		UpperCAmelCase__ : str=0.0			,		UpperCAmelCase__ : Dict=0.0			,		UpperCAmelCase__ : List[str]=True			,		UpperCAmelCase__ : List[Any]=True			,		UpperCAmelCase__ : Any="gelu"			,		UpperCAmelCase__ : List[Any]=768			,		UpperCAmelCase__ : Any=0.1			,		UpperCAmelCase__ : str=0.1			,		UpperCAmelCase__ : Any=0.0			,		UpperCAmelCase__ : Optional[int]=0.02			,		UpperCAmelCase__ : Tuple=0.0			,		UpperCAmelCase__ : Any=True			,		UpperCAmelCase__ : int=1			,		UpperCAmelCase__ : Union[str, Any]=0			,		UpperCAmelCase__ : Any=2			,		UpperCAmelCase__ : int=2			,		**UpperCAmelCase__ : Dict			,		):

    """simple docstring"""






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



 @property
 def     UpperCAmelCase     (						self : List[Any]						):

    """simple docstring"""






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







 @property
 def     UpperCAmelCase     (						self : Union[str, Any]						):

    """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"""}),
           ]						)










import copy
from typing import Dict

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


__lowerCamelCase						= logging.get_logger(__name__)

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''semantic'''




						def __init__(    self		,	lowercase=10_000		,	lowercase=True		,	lowercase=768		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=0.7		,	lowercase=True		,	lowercase=10_048		,	lowercase=129_595		,	lowercase=129_599		,	lowercase=10_000		,	lowercase=256		,	lowercase=49.9		,	**lowercase		,	)			->						int:
													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		,	)

													_a  :    Optional[int]			=						text_encoding_offset
													_a  :    str			=						text_pad_token
													_a  :    List[str]			=						eos_token_id
													_a  :    Tuple			=						semantic_infer_token
													_a  :    int			=						semantic_vocab_size
													_a  :    List[str]			=						max_input_semantic_length
													_a  :    Union[str, Any]			=						semantic_rate_hz

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''coarse_acoustics'''




						def __init__(    self		,	lowercase=True		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=0.7		,	lowercase=True		,	lowercase=12_048		,	lowercase=75		,	lowercase=2		,	lowercase=12_050		,	lowercase=256		,	lowercase = 630		,	lowercase = 60		,	**lowercase		,	)			->						List[Any]:
													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		,	)

													_a  :    str			=						coarse_semantic_pad_token
													_a  :    Any			=						coarse_rate_hz
													_a  :    Dict			=						n_coarse_codebooks
													_a  :    str			=						coarse_infer_token
													_a  :    List[Any]			=						max_coarse_input_length
													_a  :    Union[str, Any]			=						max_coarse_history
													_a  :    Any			=						sliding_window_len

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''fine_acoustics'''




						def __init__(    self		,	lowercase=0.5		,	lowercase=512		,	lowercase=1_024		,	lowercase=8		,	**lowercase		,	)			->						str:
													super().__init__(temperature=lowercase       )

													_a  :    Tuple			=						max_fine_history_length
													_a  :    Tuple			=						max_fine_input_length
													_a  :    Any			=						n_fine_codebooks

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''bark'''
						lowercase									=  True




						def __init__(    self		,	lowercase = None		,	lowercase = None		,	lowercase = None		,	lowercase=24_000		,	lowercase=1_024		,	**lowercase		,	)			->						List[str]:
													if semantic_config is None:
																				_a  :    str			=						{}
																				logger.info('''semantic_config is None. initializing the semantic model with default values.'''       )

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

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

													_a  :    List[Any]			=						BarkSemanticGenerationConfig(**lowercase       )
													_a  :    Union[str, Any]			=						BarkCoarseGenerationConfig(**lowercase       )
													_a  :    str			=						BarkFineGenerationConfig(**lowercase       )

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




						@classmethod
						def      snake_case__(    cls		,	lowercase		,	lowercase		,	lowercase		,	**lowercase		,	)			->						List[Any]:
													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      snake_case__(    self       )			->						List[str]:
													_a  :    Any			=						copy.deepcopy(self.__dict__       )

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

													_a  :    List[str]			=						self.__class__.model_type
													return output