import warnings

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







class      SCREAMING_SNAKE_CASE__					(  __UpperCamelCase    ):
       A							:	str          =	["image_processor", "tokenizer"]
       A							:	Union[str, Any]          =	"AutoImageProcessor"
       A							:	Optional[Any]          =	"AutoTokenizer"

       def __init__(							self					:     Optional[int]			,			_lowerCAmelCase					:     Dict=None			,			_lowerCAmelCase					:     str=None			,			**_lowerCAmelCase					:     int			):
           __snake_case       :				List[str] 			=    None
           if "feature_extractor" in kwargs:
               warnings.warn(
                   """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                   """ instead."""			,			_lowerCAmelCase			,			)
               __snake_case       :				str 			=    kwargs.pop("""feature_extractor"""			)

           __snake_case       :				Optional[Any] 			=    image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
               raise ValueError("""You have to specify an image_processor."""			)
           if tokenizer is None:
               raise ValueError("""You have to specify a tokenizer."""			)

           super().__init__(_lowerCAmelCase			,			_lowerCAmelCase			)
           __snake_case       :				Optional[Any] 			=    self.image_processor

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

           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:
               __snake_case       :				List[str] 			=    self.tokenizer(_lowerCAmelCase			,			return_tensors=_lowerCAmelCase			,			**_lowerCAmelCase			)

           if images is not None:
               __snake_case       :				str 			=    self.image_processor(_lowerCAmelCase			,			return_tensors=_lowerCAmelCase			,			**_lowerCAmelCase			)

           if text is not None and images is not None:
               __snake_case       :				Optional[Any] 			=    image_features.pixel_values
               return encoding
           elif text is not None:
               return encoding
           else:
               return BatchEncoding(data=dict(**_lowerCAmelCase			)			,			tensor_type=_lowerCAmelCase			)

       def 			snake_case__    (							self					:     Any			,			*_lowerCAmelCase					:     Any			,			**_lowerCAmelCase					:     Dict			):
           return self.tokenizer.batch_decode(*_lowerCAmelCase			,			**_lowerCAmelCase			)

       def 			snake_case__    (							self					:     str			,			*_lowerCAmelCase					:     Optional[int]			,			**_lowerCAmelCase					:     Any			):
           return self.tokenizer.decode(*_lowerCAmelCase			,			**_lowerCAmelCase			)

       @property
       def 			snake_case__    (							self					:     str			):
           __snake_case       :				Union[str, Any] 			=    self.tokenizer.model_input_names
           __snake_case       :				Union[str, Any] 			=    self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)

       @property
       def 			snake_case__    (							self					:     Dict			):
           warnings.warn(
               """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""			,			_lowerCAmelCase			,			)
           return self.image_processor_class





       @property
       def 			snake_case__    (							self					:     List[Any]			):
           warnings.warn(
               """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""			,			_lowerCAmelCase			,			)
           return self.image_processor




import warnings

from .generation import FlaxGenerationMixin







class      SCREAMING_SNAKE_CASE__					(  __UpperCamelCase    ):
       # warning at import time
       warnings.warn(
           "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
           "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."   ,							__UpperCamelCase   ,							)



