






import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


__a :    List[str]								=				get_logger(__name__)


if TYPE_CHECKING:
  from .builder import DatasetBuilder



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     Dict     ,			__lowercase				:     Optional[Union[str, bool]] = None      )  -> List[str]:





    """simple docstring"""

    __A             =		importlib.import_module(__lowercase      )

    # TODO(QL): always update the module to add subsequent new authentication
    if hasattr(__lowercase     ,			"""_patched_for_streaming"""      ) and module._patched_for_streaming:
        return

    def wrap_auth(__lowercase				:     int      ):
        @wraps(__lowercase      )
        def wrapper(*__lowercase				:     Tuple     ,			**__lowercase				:     List[str]      ):
            return function(*__lowercase     ,			use_auth_token=__lowercase     ,			**__lowercase      )

        __A             =		"""wrap_auth"""
        return wrapper

    # open files in a streaming fashion
    patch_submodule(__lowercase     ,			"""open"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""os.listdir"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""os.walk"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""glob.glob"""     ,			wrap_auth(__lowercase      )      ).start()
    # allow to navigate in remote zip files
    patch_submodule(__lowercase     ,			"""os.path.join"""     ,			__lowercase      ).start()
    patch_submodule(__lowercase     ,			"""os.path.dirname"""     ,			__lowercase      ).start()
    patch_submodule(__lowercase     ,			"""os.path.basename"""     ,			__lowercase      ).start()
    patch_submodule(__lowercase     ,			"""os.path.relpath"""     ,			__lowercase      ).start()
    patch_submodule(__lowercase     ,			"""os.path.split"""     ,			__lowercase      ).start()
    patch_submodule(__lowercase     ,			"""os.path.splitext"""     ,			__lowercase      ).start()
    # allow checks on paths
    patch_submodule(__lowercase     ,			"""os.path.exists"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""os.path.isdir"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""os.path.isfile"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""os.path.getsize"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""pathlib.Path"""     ,			__lowercase      ).start()
    # file readers
    patch_submodule(__lowercase     ,			"""gzip.open"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""numpy.load"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""pandas.read_csv"""     ,			wrap_auth(__lowercase      )     ,			attrs=["""__version__"""]      ).start()
    patch_submodule(__lowercase     ,			"""pandas.read_excel"""     ,			wrap_auth(__lowercase      )     ,			attrs=["""__version__"""]      ).start()
    patch_submodule(__lowercase     ,			"""scipy.io.loadmat"""     ,			wrap_auth(__lowercase      )     ,			attrs=["""__version__"""]      ).start()
    patch_submodule(__lowercase     ,			"""xml.etree.ElementTree.parse"""     ,			wrap_auth(__lowercase      )      ).start()
    patch_submodule(__lowercase     ,			"""xml.dom.minidom.parse"""     ,			wrap_auth(__lowercase      )      ).start()
    __A             =		True






def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     "DatasetBuilder"      )  -> Union[str, Any]:





    """simple docstring"""

    extend_module_for_streaming(builder.__module__     ,			use_auth_token=builder.use_auth_token      )
    # if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
    if not builder.__module__.startswith("""datasets."""      ):  # check that it's not a packaged builder like csv
        for imports in get_imports(inspect.getfile(builder.__class__      )      ):
            if imports[0] == "internal":
                __A             =		imports[1]
                __A             =		""".""".join(builder.__module__.split("""."""      )[:-1] + [internal_import_name]      )
                extend_module_for_streaming(__lowercase     ,			use_auth_token=builder.use_auth_token      )

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
    from .builder import DatasetBuilder

    __A             =		[
        cls.__module__
        for cls in type(__lowercase      ).__mro__[1:]  # make sure it's not the same module we've already patched
        if issubclass(cls     ,			__lowercase      ) and cls.__module__ != DatasetBuilder.__module__
    ]  # check it's not a standard builder from datasets.builder
    for module in parent_builder_modules:
        extend_module_for_streaming(__lowercase     ,			use_auth_token=builder.use_auth_token      )












import copy
from typing import Dict

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


__a :    str								=				logging.get_logger(__name__)


class  __lowercase (		lowercase_					):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE				  =			"semantic"




     def __init__(			self    :     Optional[int]	,		UpperCamelCase_    :     List[Any]=10_000	,		UpperCamelCase_    :     int=True	,		UpperCamelCase_    :     Dict=768	,		UpperCamelCase_    :     str=False	,		UpperCamelCase_    :     Dict=False	,		UpperCamelCase_    :     List[Any]=False	,		UpperCamelCase_    :     Any=False	,		UpperCamelCase_    :     Any=0.7	,		UpperCamelCase_    :     List[Any]=True	,		UpperCamelCase_    :     Dict=10_048	,		UpperCamelCase_    :     Tuple=129_595	,		UpperCamelCase_    :     List[str]=129_599	,		UpperCamelCase_    :     Optional[int]=10_000	,		UpperCamelCase_    :     Dict=256	,		UpperCamelCase_    :     int=49.9	,		**UpperCamelCase_    :     Any	,		):


         """simple docstring"""



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

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


class  __lowercase (		lowercase_					):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE				  =			"coarse_acoustics"




     def __init__(			self    :     int	,		UpperCamelCase_    :     List[Any]=True	,		UpperCamelCase_    :     int=False	,		UpperCamelCase_    :     Dict=False	,		UpperCamelCase_    :     Dict=False	,		UpperCamelCase_    :     Union[str, Any]=False	,		UpperCamelCase_    :     Any=0.7	,		UpperCamelCase_    :     Optional[Any]=True	,		UpperCamelCase_    :     str=12_048	,		UpperCamelCase_    :     int=75	,		UpperCamelCase_    :     Dict=2	,		UpperCamelCase_    :     List[str]=12_050	,		UpperCamelCase_    :     str=256	,		UpperCamelCase_    :     int = 630	,		UpperCamelCase_    :     int = 60	,		**UpperCamelCase_    :     Union[str, Any]	,		):


         """simple docstring"""



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

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


class  __lowercase (		lowercase_					):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE				  =			"fine_acoustics"




     def __init__(			self    :     Any	,		UpperCamelCase_    :     Dict=0.5	,		UpperCamelCase_    :     List[Any]=512	,		UpperCamelCase_    :     int=1_024	,		UpperCamelCase_    :     Union[str, Any]=8	,		**UpperCamelCase_    :     int	,		):


         """simple docstring"""



         super().__init__(temperature=UpperCamelCase_			)

         __A             =		max_fine_history_length
         __A             =		max_fine_input_length
         __A             =		n_fine_codebooks


class  __lowercase (		lowercase_					):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE				  =			"bark"
     SCREAMING_SNAKE_CASE				  =			True




     def __init__(			self    :     Dict	,		UpperCamelCase_    :     Dict = None	,		UpperCamelCase_    :     Dict = None	,		UpperCamelCase_    :     Dict = None	,		UpperCamelCase_    :     List[str]=24_000	,		UpperCamelCase_    :     Union[str, Any]=1_024	,		**UpperCamelCase_    :     List[str]	,		):


         """simple docstring"""



         if semantic_config is None:
             __A             =		{}
             logger.info("""semantic_config is None. initializing the semantic model with default values."""			)

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

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

         __A             =		BarkSemanticGenerationConfig(**UpperCamelCase_			)
         __A             =		BarkCoarseGenerationConfig(**UpperCamelCase_			)
         __A             =		BarkFineGenerationConfig(**UpperCamelCase_			)

         __A             =		sample_rate
         __A             =		codebook_size




     @classmethod
     def 						lowerCAmelCase_       (			cls    :     int	,		UpperCamelCase_    :     BarkSemanticGenerationConfig	,		UpperCamelCase_    :     BarkCoarseGenerationConfig	,		UpperCamelCase_    :     BarkFineGenerationConfig	,		**UpperCamelCase_    :     Tuple	,		):


         """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()	,		**UpperCamelCase_	,		)





     def 						lowerCAmelCase_       (			self    :     List[str]			):


         """simple docstring"""



         __A             =		copy.deepcopy(self.__dict__			)

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

         __A             =		self.__class__.model_type
         return output




