


import jax.numpy as jnp

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


_lowercase				     = logging.get_logger(__name__)

_lowercase				     = 'T5Config'

def 		__lowerCAmelCase   (							_UpperCamelCase       ,			_UpperCamelCase       ,			_UpperCamelCase		)    ->				jnp.ndarray:






      '''simple docstring'''

      lowerCamelCase__:						int							   = jnp.zeros_like(_lowerCAmelCase		)
      lowerCamelCase__:						Optional[int]							   = shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]		)
      lowerCamelCase__:						Union[str, Any]							   = shifted_input_ids.at[:, 0].set(_lowerCAmelCase		)

      lowerCamelCase__:						List[str]							   = jnp.where(shifted_input_ids == -100       ,			_lowerCAmelCase       ,			_lowerCAmelCase		)
      return shifted_input_ids



class 	lowerCamelCase__			(      _a      ):
   __lowerCamelCase			      =  """mt5"""
   __lowerCamelCase			      =  MTaConfig



class 	lowerCamelCase__			(      _a      ):
   __lowerCamelCase			      =  """mt5"""
   __lowerCamelCase			      =  MTaConfig



class 	lowerCamelCase__			(      _a      ):
   __lowerCamelCase			      =  """mt5"""
   __lowerCamelCase			      =  MTaConfig










from __future__ import annotations





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						list[int]:


						'''simple docstring'''






						__snake_case				=		2
						__snake_case				=		[]
						while i * i <= n:
												if n % i:
																		i += 1
												else:
																		n //= i
																		factors.append(_lowerCAmelCase			)
						if n > 1:
												factors.append(_lowerCAmelCase			)
						return factors


if __name__ == "__main__":
	import doctest

	doctest.testmod()





