


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def        SCREAMING_SNAKE_CASE_						(			)	->		Any:

       """simple docstring"""

       a_					:		Optional[Any]							=  HfArgumentParser(__A				)
       a_					:		Optional[int]							=  parser.parse_args_into_dataclasses()[0]
       a_					:		List[Any]							=  TensorFlowBenchmark(args=__A				)
       try:
              a_					:		List[str]							=  parser.parse_args_into_dataclasses()[0]
       except ValueError as e:
              a_					:		Dict							=  'Arg --no_{0} is no longer used, please use --no-{0} instead.'
              a_					:		Dict							=  ' '.join(str(__A				).split(' '				)[:-1]				)
              a_					:		int							=  ''
              a_					:		int							=  eval(str(__A				).split(' '				)[-1]				)
              a_					:		Any							=  []
              for arg in depreciated_args:
                     # arg[2:] removes '--'
                     if arg[2:] in TensorFlowBenchmark.deprecated_args:
                            # arg[5:] removes '--no_'
                            full_error_msg += arg_error_msg.format(arg[5:]				)
                     else:
                            wrong_args.append(__A				)
              if len(__A				) > 0:
                     a_					:		str							=  full_error_msg + begin_error_msg + str(__A				)
              raise ValueError(__A				)
       benchmark.run()


if __name__ == "__main__":
   main()






import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


UpperCAmelCase_      : Optional[Any]  					=       logging.get_logger(__name__)

UpperCAmelCase_      : str  					=       'T5Config'







def        SCREAMING_SNAKE_CASE_						(			__A :			jnp.array  ,    __A :			int  ,    __A :			int				)	->		jnp.ndarray:

       """simple docstring"""

       a_					:		Dict							=  jnp.zeros_like(__A				)
       a_					:		Dict							=  shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]				)
       a_					:		str							=  shifted_input_ids.at[:, 0].set(__A				)

       a_					:		int							=  jnp.where(shifted_input_ids == -1_00  ,    __A  ,    __A				)
       return shifted_input_ids
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[Any]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[str]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Any        =						'''mt5'''
      snake_case__				:     Union[str, Any]        =						MTaConfig


