


'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase :Union[str, Any]             =     logging.get_logger(__name__)

lowerCAmelCase :Union[str, Any]             =     {
    """microsoft/trocr-base-handwritten""": (
        """https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"""
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}
class _lowerCamelCase			(		lowercase_				):



		'''simple docstring'''







		A_      :     List[str]        =							'''trocr'''
		A_      :     Union[str, Any]        =							['''past_key_values''']
		A_      :     Dict        =							{
		    '''num_attention_heads''': '''decoder_attention_heads''',
		    '''hidden_size''': '''d_model''',
		    '''num_hidden_layers''': '''decoder_layers''',
		}







		def __init__(   self						:		Union[str, Any]    ,	_A						:		Any=50265    ,	_A						:		Optional[Any]=1024    ,	_A						:		str=12    ,	_A						:		str=16    ,	_A						:		str=4096    ,	_A						:		str="gelu"    ,	_A						:		Optional[int]=512    ,	_A						:		Union[str, Any]=0.1    ,	_A						:		Optional[Any]=0.0    ,	_A						:		int=0.0    ,	_A						:		Any=2    ,	_A						:		int=0.02    ,	_A						:		List[str]=0.0    ,	_A						:		Dict=True    ,	_A						:		List[Any]=False    ,	_A						:		int=True    ,	_A						:		Optional[int]=True    ,	_A						:		str=1    ,	_A						:		List[str]=0    ,	_A						:		int=2    ,	**_A						:		Any    ,	)    ->					List[Any]:
			__magic_name__			:       Optional[Any]	      =	vocab_size
			__magic_name__			:       int	      =	d_model
			__magic_name__			:       Union[str, Any]	      =	decoder_layers
			__magic_name__			:       List[Any]	      =	decoder_attention_heads
			__magic_name__			:       List[Any]	      =	decoder_ffn_dim
			__magic_name__			:       str	      =	activation_function
			__magic_name__			:       Union[str, Any]	      =	max_position_embeddings
			__magic_name__			:       Tuple	      =	dropout
			__magic_name__			:       Any	      =	attention_dropout
			__magic_name__			:       Any	      =	activation_dropout
			__magic_name__			:       Any	      =	init_std
			__magic_name__			:       int	      =	decoder_layerdrop
			__magic_name__			:       List[Any]	      =	use_cache
			__magic_name__			:       int	      =	scale_embedding
			__magic_name__			:       str	      =	use_learned_position_embeddings
			__magic_name__			:       Tuple	      =	layernorm_embedding

			super().__init__(
			    pad_token_id=_A    ,	bos_token_id=_A    ,	eos_token_id=_A    ,	decoder_start_token_id=_A    ,	**_A    ,	)


import string





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






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





def    __lowerCamelCase      (					):







							'''simple docstring'''






							from timeit import timeit

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


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




