




import jax.numpy as jnp

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


_lowerCAmelCase						:   List[Any]		=   logging.get_logger(__name__)

_lowerCAmelCase						:   List[Any]		=   "T5Config"



def 						lowerCAmelCase		(		_lowerCAmelCase							:   jnp.array						,							_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int	):




 """simple docstring"""







 UpperCAmelCase__							 =						jnp.zeros_like(_lowerCAmelCase	)
 UpperCAmelCase__							 =						shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]	)
 UpperCAmelCase__							 =						shifted_input_ids.at[:, 0].set(_lowerCAmelCase	)

 UpperCAmelCase__							 =						jnp.where(shifted_input_ids == -100						,							_lowerCAmelCase						,							_lowerCAmelCase	)
 return shifted_input_ids
class 			_UpperCamelCase      (				lowerCAmelCase		):
      UpperCAmelCase_        =		"""mt5"""
      UpperCAmelCase_        =		MTaConfig



class 			_UpperCamelCase      (				lowerCAmelCase		):
      UpperCAmelCase_        =		"""mt5"""
      UpperCAmelCase_        =		MTaConfig



class 			_UpperCamelCase      (				lowerCAmelCase		):
      UpperCAmelCase_        =		"""mt5"""
      UpperCAmelCase_        =		MTaConfig











import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


_lowerCAmelCase						:   int		=   logging.get_logger(__name__)
class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :Optional[Any] ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :Tuple      )     ->			None:
       warnings.warn(
           "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use YolosImageProcessor instead." ,      lowerCamelCase ,      )
       super().__init__(*lowerCamelCase ,      **lowerCamelCase      )





