




"""simple docstring"""



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

from packaging import version







def   _SCREAMING_SNAKE_CASE       (							*lowercase_      ,			lowercase_ = None      ,			lowercase_=True      ,			lowercase_=2						)						->		List[Any]:
 from .. import __version__

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

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

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

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

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

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











"""simple docstring"""



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




class      UpperCAmelCase_  (						A_							):
    lowercase__						 =				['''image_processor''', '''tokenizer''']
    lowercase__						 =				'''AutoImageProcessor'''
    lowercase__						 =				'''AutoTokenizer'''




    def __init__(   self						:	str     ,			snake_case_						:	Dict     ,			snake_case_						:	List[str]				)				->							str:




     '''simple docstring'''

     super().__init__(snake_case_     ,			snake_case_				)
     A__	=    self.image_processor




    def __call__(   self						:	int     ,			snake_case_						:	Any=None     ,			snake_case_						:	Any=None     ,			snake_case_						:	Union[str, Any]=None     ,			**snake_case_						:	Optional[int]				)				->							Optional[int]:




     '''simple docstring'''

     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:
      A__	=    self.tokenizer(snake_case_     ,			return_tensors=snake_case_     ,			**snake_case_				)

     if images is not None:
      A__	=    self.image_processor(snake_case_     ,			return_tensors=snake_case_     ,			**snake_case_				)

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




    def 							__magic_name__							(   self						:	Optional[int]     ,			*snake_case_						:	Union[str, Any]     ,			**snake_case_						:	List[Any]				)				->							int:




     '''simple docstring'''

     return self.tokenizer.batch_decode(*snake_case_     ,			**snake_case_				)




    def 							__magic_name__							(   self						:	List[str]     ,			*snake_case_						:	List[str]     ,			**snake_case_						:	Optional[int]				)				->							Tuple:




     '''simple docstring'''

     return self.tokenizer.decode(*snake_case_     ,			**snake_case_				)




    @property
    def 							__magic_name__							(   self						:	List[Any]				)				->							List[Any]:




     '''simple docstring'''

     return ["input_ids", "attention_mask", "pixel_values"]





