


"""simple docstring"""


from importlib import import_module

from .logging import get_logger


UpperCamelCase						:				Dict             =      get_logger(__name__)



class 			lowerCamelCase__						:







      def __init__(							self   :    Optional[int]			,			_lowercase   :    List[str]			,			_lowercase   :    str=None		):
        A					       = attrs or []
        if module is not None:
          for key in module.__dict__:
            if key in attrs or not key.startswith('__'		):
              setattr(self			,			_lowercase			,			getattr(_lowercase			,			_lowercase		)		)
        A					       = module._original_module if isinstance(_lowercase			,			_PatchedModuleObj		) else module



class 			lowerCamelCase__						:
      lowerCAmelCase       =     []







      def __init__(							self   :    Optional[Any]			,			_lowercase   :    List[Any]			,			_lowercase   :    str			,			_lowercase   :    List[str]			,			_lowercase   :    Union[str, Any]=None		):
        A					       = obj
        A					       = target
        A					       = new
        A					       = target.split('.'		)[0]
        A					       = {}
        A					       = attrs or []







      def __enter__(							self   :    List[str]		):
        *A       , A					       = self.target.split('.'		)

        # Patch modules:
        # it's used to patch attributes of submodules like "os.path.join";
        # in this case we need to patch "os" and "os.path"

        for i in range(len(_lowercase		)		):
          try:
            A					       = import_module('.'.join(submodules[: i + 1]		)		)
          except ModuleNotFoundError:
            continue
          # We iterate over all the globals in self.obj in case we find "os" or "os.path"
          for attr in self.obj.__dir__():
            A					       = getattr(self.obj			,			_lowercase		)
            # We don't check for the name of the global, but rather if its value *is* "os" or "os.path".
            # This allows to patch renamed modules like "from os import path as ospath".
            if obj_attr is submodule or (
                (isinstance(_lowercase			,			_PatchedModuleObj		) and obj_attr._original_module is submodule)
            ):
              A					       = obj_attr
              # patch at top level
              setattr(self.obj			,			_lowercase			,			_PatchedModuleObj(_lowercase			,			attrs=self.attrs		)		)
              A					       = getattr(self.obj			,			_lowercase		)
              # construct lower levels patches
              for key in submodules[i + 1 :]:
                setattr(_lowercase			,			_lowercase			,			_PatchedModuleObj(getattr(_lowercase			,			_lowercase			,			_lowercase		)			,			attrs=self.attrs		)		)
                A					       = getattr(_lowercase			,			_lowercase		)
              # finally set the target attribute
              setattr(_lowercase			,			_lowercase			,			self.new		)

        # Patch attribute itself:
        # it's used for builtins like "open",
        # and also to patch "os.path.join" we may also need to patch "join"
        # itself if it was imported as "from os.path import join".

        if submodules:  # if it's an attribute of a submodule like "os.path.join"
          try:
            A					       = getattr(import_module('.'.join(_lowercase		)		)			,			_lowercase		)
          except (AttributeError, ModuleNotFoundError):
            return
          # We iterate over all the globals in self.obj in case we find "os.path.join"
          for attr in self.obj.__dir__():
            # We don't check for the name of the global, but rather if its value *is* "os.path.join".
            # This allows to patch renamed attributes like "from os.path import join as pjoin".
            if getattr(self.obj			,			_lowercase		) is attr_value:
              A					       = getattr(self.obj			,			_lowercase		)
              setattr(self.obj			,			_lowercase			,			self.new		)
        elif target_attr in globals()["__builtins__"]:  # if it'a s builtin like "open"
          A					       = globals()['__builtins__'][target_attr]
          setattr(self.obj			,			_lowercase			,			self.new		)
        else:
          raise RuntimeError(f'Tried to patch attribute {target_attr} instead of a submodule.'		)







      def __exit__(							self   :    List[Any]			,			*_lowercase   :    Dict		):
        for attr in list(self.original		):
          setattr(self.obj			,			_lowercase			,			self.original.pop(_lowercase		)		)







      def __a						(							self   :    List[str]		):
        self.__enter__()
        self._active_patches.append(self		)







      def __a						(							self   :    List[Any]		):
        try:
          self._active_patches.remove(self		)
        except ValueError:
          # If the patch hasn't been started this will fail
          return None

        return self.__exit__()









"""simple docstring"""


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding



class 			lowerCamelCase__						(   UpperCAmelCase_			):
						lowerCAmelCase       =     """ClapFeatureExtractor"""
						lowerCAmelCase       =     ("""RobertaTokenizer""", """RobertaTokenizerFast""")







						def __init__(							self   :    Dict			,			_lowercase   :    List[str]			,			_lowercase   :    Optional[int]		):
								super().__init__(_lowercase			,			_lowercase		)







						def __call__(							self   :    Optional[int]			,			_lowercase   :    List[Any]=None			,			_lowercase   :    Dict=None			,			_lowercase   :    str=None			,			**_lowercase   :    Union[str, Any]		):
								A					       = kwargs.pop('sampling_rate'			,			_lowercase		)

								if text is None and audios is None:
										raise ValueError('You have to specify either text or audios. Both cannot be none.'		)

								if text is not None:
										A					       = self.tokenizer(_lowercase			,			return_tensors=_lowercase			,			**_lowercase		)

								if audios is not None:
										A					       = self.feature_extractor(
										    _lowercase			,			sampling_rate=_lowercase			,			return_tensors=_lowercase			,			**_lowercase		)

								if text is not None and audios is not None:
										A					       = audio_features.input_features
										return encoding
								elif text is not None:
										return encoding
								else:
										return BatchEncoding(data=dict(**_lowercase		)			,			tensor_type=_lowercase		)







						def __a						(							self   :    List[Any]			,			*_lowercase   :    Dict			,			**_lowercase   :    Optional[int]		):
								return self.tokenizer.batch_decode(*_lowercase			,			**_lowercase		)







						def __a						(							self   :    List[str]			,			*_lowercase   :    str			,			**_lowercase   :    Optional[int]		):
								return self.tokenizer.decode(*_lowercase			,			**_lowercase		)







						@property
						def __a						(							self   :    Tuple		):
								A					       = self.tokenizer.model_input_names
								A					       = self.feature_extractor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names		)		)





