
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 						UpperCamelCase__    (			snake_case_       ):
   _SCREAMING_SNAKE_CASE :				Any      			= ['''image_processor''', '''tokenizer''']
   _SCREAMING_SNAKE_CASE :				Optional[Any]      			= '''BridgeTowerImageProcessor'''
   _SCREAMING_SNAKE_CASE :				Optional[int]      			= ('''RobertaTokenizer''', '''RobertaTokenizerFast''')
   def __init__(self					:   str   ,							snake_case_					:   Any   ,							snake_case_					:   Any  ):
    super().__init__(UpperCamelCase__   ,							UpperCamelCase__  )
   def __call__(self					:   Optional[int]   ,							snake_case_					:   Dict   ,							snake_case_					:   str = None   ,							snake_case_					:   List[Any] = True   ,							snake_case_					:   Optional[Any] = False   ,							snake_case_					:   Tuple = None   ,							snake_case_					:   str = None   ,							snake_case_					:   Dict = 0   ,							snake_case_					:   Union[str, Any] = None   ,							snake_case_					:   Optional[Any] = None   ,							snake_case_					:   str = None   ,							snake_case_					:   Optional[int] = False   ,							snake_case_					:   Any = False   ,							snake_case_					:   int = False   ,							snake_case_					:   Any = False   ,							snake_case_					:   Union[str, Any] = True   ,							snake_case_					:   int = None   ,							**snake_case_					:   List[str]   ,							):
    __a					:    List[str]													=    self.tokenizer(
        text=UpperCamelCase__   ,							add_special_tokens=UpperCamelCase__   ,							padding=UpperCamelCase__   ,							truncation=UpperCamelCase__   ,							max_length=UpperCamelCase__   ,							stride=UpperCamelCase__   ,							pad_to_multiple_of=UpperCamelCase__   ,							return_token_type_ids=UpperCamelCase__   ,							return_attention_mask=UpperCamelCase__   ,							return_overflowing_tokens=UpperCamelCase__   ,							return_special_tokens_mask=UpperCamelCase__   ,							return_offsets_mapping=UpperCamelCase__   ,							return_length=UpperCamelCase__   ,							verbose=UpperCamelCase__   ,							return_tensors=UpperCamelCase__   ,							**UpperCamelCase__   ,							)
    # add pixel_values + pixel_mask
    __a					:    str													=    self.image_processor(
        UpperCamelCase__   ,							return_tensors=UpperCamelCase__   ,							do_normalize=UpperCamelCase__   ,							do_center_crop=UpperCamelCase__   ,							**UpperCamelCase__  )
    encoding.update(UpperCamelCase__  )

    return encoding
   def  lowerCAmelCase     (self					:   List[str]   ,							*snake_case_					:   Union[str, Any]   ,							**snake_case_					:   Union[str, Any]  ):
    return self.tokenizer.batch_decode(*UpperCamelCase__   ,							**UpperCamelCase__  )
   def  lowerCAmelCase     (self					:   Dict   ,							*snake_case_					:   List[str]   ,							**snake_case_					:   int  ):
    return self.tokenizer.decode(*UpperCamelCase__   ,							**UpperCamelCase__  )







   @property
   def  lowerCAmelCase     (self					:   List[Any]  ):
    __a					:    List[Any]													=    self.tokenizer.model_input_names
    __a					:    Tuple													=    self.image_processor.model_input_names
    return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )




"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


__snake_case       =       logging.get_logger(__name__)







class _lowerCAmelCase							( snake_case_      ):







   def __init__(      self		,      *UpperCamelCase__		,      **UpperCamelCase__		)      ->						None:

       '''simple docstring'''




       warnings.warn(
           "The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use SegformerImageProcessor instead."		,      UpperCamelCase__		,      )
       super().__init__(*UpperCamelCase__		,      **UpperCamelCase__		)





