



'''simple docstring'''



import warnings
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		(     A		):





    '''simple docstring'''





    lowerCAmelCase__					    =    ["""image_processor""", """tokenizer"""]
    lowerCAmelCase__					    =    """ViltImageProcessor"""
    lowerCAmelCase__					    =    ("""BertTokenizer""", """BertTokenizerFast""")

    def __init__(							self  :  str  ,       _lowerCAmelCase  :  Optional[Any]=None  ,       _lowerCAmelCase  :  int=None  ,       **_lowerCAmelCase  :  Optional[Any]):







           '''simple docstring'''

           __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.'  ,       _lowerCAmelCase  ,       )
                  __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__(_lowerCAmelCase  ,       _lowerCAmelCase)
           __lowercase       	=self.image_processor

    def __call__(							self  :  List[Any]  ,       _lowerCAmelCase  :  Tuple  ,       _lowerCAmelCase  :  Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None  ,       _lowerCAmelCase  :  bool = True  ,       _lowerCAmelCase  :  Union[bool, str, PaddingStrategy] = False  ,       _lowerCAmelCase  :  Union[bool, str, TruncationStrategy] = None  ,       _lowerCAmelCase  :  Optional[int] = None  ,       _lowerCAmelCase  :  int = 0  ,       _lowerCAmelCase  :  Optional[int] = None  ,       _lowerCAmelCase  :  Optional[bool] = None  ,       _lowerCAmelCase  :  Optional[bool] = None  ,       _lowerCAmelCase  :  bool = False  ,       _lowerCAmelCase  :  bool = False  ,       _lowerCAmelCase  :  bool = False  ,       _lowerCAmelCase  :  bool = False  ,       _lowerCAmelCase  :  bool = True  ,       _lowerCAmelCase  :  Optional[Union[str, TensorType]] = None  ,       **_lowerCAmelCase  :  Any  ,       ):







           '''simple docstring'''

           __lowercase       	=self.tokenizer(
               text=_lowerCAmelCase  ,       add_special_tokens=_lowerCAmelCase  ,       padding=_lowerCAmelCase  ,       truncation=_lowerCAmelCase  ,       max_length=_lowerCAmelCase  ,       stride=_lowerCAmelCase  ,       pad_to_multiple_of=_lowerCAmelCase  ,       return_token_type_ids=_lowerCAmelCase  ,       return_attention_mask=_lowerCAmelCase  ,       return_overflowing_tokens=_lowerCAmelCase  ,       return_special_tokens_mask=_lowerCAmelCase  ,       return_offsets_mapping=_lowerCAmelCase  ,       return_length=_lowerCAmelCase  ,       verbose=_lowerCAmelCase  ,       return_tensors=_lowerCAmelCase  ,       **_lowerCAmelCase  ,       )
           # add pixel_values + pixel_mask
           __lowercase       	=self.image_processor(_lowerCAmelCase  ,       return_tensors=_lowerCAmelCase)
           encoding.update(_lowerCAmelCase)

           return encoding

    def 				__lowerCamelCase     (							self  :  List[Any]  ,       *_lowerCAmelCase  :  str  ,       **_lowerCAmelCase  :  Union[str, Any]):







           '''simple docstring'''

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

    def 				__lowerCamelCase     (							self  :  Union[str, Any]  ,       *_lowerCAmelCase  :  str  ,       **_lowerCAmelCase  :  Optional[Any]):







           '''simple docstring'''

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

    @property
    def 				__lowerCamelCase     (							self  :  Optional[int]):







           '''simple docstring'''

           __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 				__lowerCamelCase     (							self  :  Union[str, Any]):







           '''simple docstring'''

           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 				__lowerCamelCase     (							self  :  Tuple):







           '''simple docstring'''

           warnings.warn(
               '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'  ,       _lowerCAmelCase  ,       )
           return self.image_processor








'''simple docstring'''



import string



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=''
							for i in sequence:
														__lowercase       	=ord(_lowerCAmelCase					)
														if 65 <= extract <= 90:
																					output += chr(155 - extract					)
														elif 97 <= extract <= 122:
																					output += chr(219 - extract					)
														else:
																					output += i
							return output



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=string.ascii_letters
							__lowercase       	=string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
							return "".join(
							    letters_reversed[letters.index(_lowerCAmelCase					)] if c in letters else c for c in sequence					)



def   _A       (   ):



							"""simple docstring"""



							from timeit import timeit

							print('Running performance benchmarks...'					)
							__lowercase       	='from string import printable ; from __main__ import atbash, atbash_slow'
							print(f"""> atbash_slow(): {timeit('atbash_slow(printable)'  ,   setup=_lowerCAmelCase					)} seconds"""					)
							print(f""">      atbash(): {timeit('atbash(printable)'  ,   setup=_lowerCAmelCase					)} seconds"""					)


if __name__ == "__main__":
		for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
				print(f"{example} encrypted in atbash: {atbash(example)}")
		benchmark()



