


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__snake_case     =		logging.get_logger(__name__)

__snake_case     =		{
    '''facebook/musicgen-small''': '''https://huggingface.co/facebook/musicgen-small/resolve/main/config.json''',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}



class 					__lowerCamelCase	(_a		):
       _lowercase    							=      """musicgen_decoder"""
       _lowercase    							=      ["""past_key_values"""]







       def __init__(	self:				Union[str, Any],A_:				Dict=2048,A_:				int=2048,A_:				List[Any]=24,A_:				str=4096,A_:				List[str]=16,A_:				List[Any]=0.0,A_:				Dict=True,A_:				Any="gelu",A_:				Dict=1024,A_:				Any=0.1,A_:				str=0.0,A_:				Optional[int]=0.0,A_:				Optional[int]=0.0_2,A_:				int=False,A_:				List[Any]=4,A_:				str=2048,A_:				List[str]=2048,A_:				Dict=None,A_:				int=False,**A_:				Optional[int],):






            '''simple docstring'''




            __UpperCamelCase				=	vocab_size
            __UpperCamelCase				=	max_position_embeddings
            __UpperCamelCase				=	hidden_size
            __UpperCamelCase				=	ffn_dim
            __UpperCamelCase				=	num_hidden_layers
            __UpperCamelCase				=	num_attention_heads
            __UpperCamelCase				=	dropout
            __UpperCamelCase				=	attention_dropout
            __UpperCamelCase				=	activation_dropout
            __UpperCamelCase				=	activation_function
            __UpperCamelCase				=	initializer_factor
            __UpperCamelCase				=	layerdrop
            __UpperCamelCase				=	use_cache
            __UpperCamelCase				=	scale_embedding  # scale factor will be sqrt(d_model) if True
            __UpperCamelCase				=	num_codebooks
            super().__init__(
                pad_token_id=A_,bos_token_id=A_,eos_token_id=A_,tie_word_embeddings=A_,**A_,)



class 					__lowerCamelCase	(_a		):
       _lowercase    							=      """musicgen"""
       _lowercase    							=      True







       def __init__(	self:				Any,**A_:				Any			):






            '''simple docstring'''




            super().__init__(**A_			)
            if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
                 raise ValueError('Config has to be initialized with text_encoder, audio_encoder and decoder config'			)

            __UpperCamelCase				=	kwargs.pop('text_encoder'			)
            __UpperCamelCase				=	text_encoder_config.pop('model_type'			)

            __UpperCamelCase				=	kwargs.pop('audio_encoder'			)
            __UpperCamelCase				=	audio_encoder_config.pop('model_type'			)

            __UpperCamelCase				=	kwargs.pop('decoder'			)

            __UpperCamelCase				=	AutoConfig.for_model(A_,**A_			)
            __UpperCamelCase				=	AutoConfig.for_model(A_,**A_			)
            __UpperCamelCase				=	MusicgenDecoderConfig(**A_			)
            __UpperCamelCase				=	True







       @classmethod
       def 						snake_case_					(	cls:				Any,A_:				PretrainedConfig,A_:				PretrainedConfig,A_:				MusicgenDecoderConfig,**A_:				Optional[Any],):






            '''simple docstring'''




            return cls(
                text_encoder=text_encoder_config.to_dict(),audio_encoder=audio_encoder_config.to_dict(),decoder=decoder_config.to_dict(),**A_,)







       def 						snake_case_					(	self:				List[str]			):






            '''simple docstring'''




            __UpperCamelCase				=	copy.deepcopy(self.__dict__			)
            __UpperCamelCase				=	self.text_encoder.to_dict()
            __UpperCamelCase				=	self.audio_encoder.to_dict()
            __UpperCamelCase				=	self.decoder.to_dict()
            __UpperCamelCase				=	self.__class__.model_type
            return output






import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


__snake_case     =		2 << 2_0  # 2mb
__snake_case     =		get_logger(__name__)



class 					__lowerCamelCase	(_a		):







       def 						snake_case_					(	self:				Optional[Any]			):






            '''simple docstring'''




            __UpperCamelCase				=	self._options.get_all_options().get('runner'			)
            return runner in [None, "DirectRunner", "PortableRunner"]






def 						_A						(						_lowercase			,       _lowercase			,       _lowercase=False				)			->				List[Any]:


     """simple docstring"""


     __UpperCamelCase				=	FileSystems
     if fs.exists(_lowercase				):
          if force_upload:
               logger.info(f'''Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''				)
          else:
               logger.info(f'''Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'''				)
               return
     with fs.create(_lowercase				) as remote_file:
          with open(_lowercase			,       'rb'				) as local_file:
               __UpperCamelCase				=	local_file.read(_lowercase				)
               while chunk:
                    remote_file.write(_lowercase				)
                    __UpperCamelCase				=	local_file.read(_lowercase				)






def 						_A						(						_lowercase			,       _lowercase			,       _lowercase=False				)			->				Optional[Any]:


     """simple docstring"""


     __UpperCamelCase				=	FileSystems
     if os.path.exists(_lowercase				):
          if force_download:
               logger.info(f'''Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''				)
          else:
               logger.info(f'''Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'''				)
               return
     with fs.open(_lowercase				) as remote_file:
          with open(_lowercase			,       'wb'				) as local_file:
               __UpperCamelCase				=	remote_file.read(_lowercase				)
               while chunk:
                    local_file.write(_lowercase				)
                    __UpperCamelCase				=	remote_file.read(_lowercase				)


