

'''simple docstring'''






import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version


def 		_A     (    *A__     ,				A__ = None     ,				A__=True     ,				A__=2      ):






 """simple docstring"""



 from .. import __version__

 __lowercase							  = take_from
 __lowercase							  = ()
 if not isinstance(args[0]     ,				A__      ):
  __lowercase							  = (args,)

 for attribute, version_name, message in args:
  if version.parse(version.parse(A__      ).base_version      ) >= version.parse(A__      ):
   raise ValueError(
       F"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
       F" version {__version__} is >= {version_name}"      )

  __lowercase							  = None
  if isinstance(A__     ,				A__      ) and attribute in deprecated_kwargs:
   values += (deprecated_kwargs.pop(A__      ),)
   __lowercase							  = F"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
  elif hasattr(A__     ,				A__      ):
   values += (getattr(A__     ,				A__      ),)
   __lowercase							  = F"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
  elif deprecated_kwargs is None:
   __lowercase							  = F"`{attribute}` is deprecated and will be removed in version {version_name}."

  if warning is not None:
   __lowercase							  = warning + ''' ''' if standard_warn else ''''''
   warnings.warn(warning + message     ,				A__     ,				stacklevel=A__      )

 if isinstance(A__     ,				A__      ) and len(A__      ) > 0:
  __lowercase							  = inspect.getouterframes(inspect.currentframe()      )[1]
  __lowercase							  = call_frame.filename
  __lowercase							  = call_frame.lineno
  __lowercase							  = call_frame.function
  __lowercase  ,	__lowercase							  = next(iter(deprecated_kwargs.items()      )      )
  raise TypeError(F"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"      )

 if len(A__      ) == 0:
  return
 elif len(A__      ) == 1:
  return values[0]
 return values




'''simple docstring'''






import warnings

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






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Optional[Any]							=			['image_processor', 'tokenizer']
  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			'CLIPImageProcessor'
  SCREAMING_SNAKE_CASE    :  Union[str, Any]							=			('CLIPTokenizer', 'CLIPTokenizerFast')






  def __init__(      self   :     List[Any]					,lowercase__   :     Dict=None					,lowercase__   :     Union[str, Any]=None					,**lowercase__   :     Tuple			):
   __lowercase							  = None
   if "feature_extractor" in kwargs:
    warnings.warn(
        '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
        ''' instead.'''					,lowercase__					,)
    __lowercase							  = kwargs.pop('''feature_extractor'''			)

   __lowercase							  = image_processor if image_processor is not None else feature_extractor
   if image_processor is None:
    raise ValueError('''You need to specify an `image_processor`.'''			)
   if tokenizer is None:
    raise ValueError('''You need to specify a `tokenizer`.'''			)

   super().__init__(lowercase__					,lowercase__			)






  def __call__(      self   :     List[Any]					,lowercase__   :     str=None					,lowercase__   :     List[Any]=None					,lowercase__   :     Optional[Any]=None					,**lowercase__   :     int			):

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

   if text is not None:
    __lowercase							  = self.tokenizer(lowercase__					,return_tensors=lowercase__					,**lowercase__			)

   if images is not None:
    __lowercase							  = self.image_processor(lowercase__					,return_tensors=lowercase__					,**lowercase__			)

   if text is not None and images is not None:
    __lowercase							  = image_features.pixel_values
    return encoding
   elif text is not None:
    return encoding
   else:
    return BatchEncoding(data=dict(**lowercase__			)					,tensor_type=lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,*lowercase__   :     List[str]					,**lowercase__   :     int			):
   return self.tokenizer.batch_decode(*lowercase__					,**lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     List[Any]					,*lowercase__   :     Optional[int]					,**lowercase__   :     Union[str, Any]			):
   return self.tokenizer.decode(*lowercase__					,**lowercase__			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[Any]			):
   __lowercase							  = self.tokenizer.model_input_names
   __lowercase							  = self.image_processor.model_input_names
   return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     List[str]			):
   warnings.warn(
       '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''					,lowercase__					,)
   return self.image_processor_class






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   warnings.warn(
       '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''					,lowercase__					,)
   return self.image_processor

