from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


__SCREAMING_SNAKE_CASE						:   Optional[int]         =			logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						:   Tuple         =			'T5Config'



class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		'mt5'
							_lowerCamelCase						=		MTaConfig




class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		'mt5'
							_lowerCamelCase						=		MTaConfig




class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		'mt5'
							_lowerCamelCase						=		MTaConfig
def  snake_case						(__lowercase						)	->	bool:

						'''simple docstring'''



						_snake_case						:					Dict    =   0
						for ch in input_str:
												_snake_case						:					int    =   ord(__lowercase						)
												_snake_case						:					List[Any]    =   pow(2 ,      __lowercase						)

												# If we already turned on bit for current character's unicode
												if bitmap >> ch_unicode & 1 == 1:
																		return False
												bitmap |= ch_bit_index_on
						return True


if __name__ == "__main__":
				import doctest

				doctest.testmod()