'''simple docstring'''




import jax.numpy as jnp

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


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

_lowercase						: List[str]						=						"T5Config"




def 							lowerCamelCase	(      UpperCAmelCase__       :					jnp.array      ,      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					int )			->      jnp.ndarray:
							lowercase_					:			str										=       jnp.zeros_like(UpperCAmelCase__ )
							lowercase_					:			str										=       shifted_input_ids.at[:, 1:].set(input_ids[:, :-1] )
							lowercase_					:			List[Any]										=       shifted_input_ids.at[:, 0].set(UpperCAmelCase__ )

							lowercase_					:			List[Any]										=       jnp.where(shifted_input_ids == -100      ,      UpperCAmelCase__      ,      UpperCAmelCase__ )
							return shifted_input_ids





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''mt5'''
			UpperCamelCase__				=       MTaConfig





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''mt5'''
			UpperCamelCase__				=       MTaConfig





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''mt5'''
			UpperCamelCase__				=       MTaConfig






'''simple docstring'''




from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase						: Dict						=						{"configuration_mmbt": ["MMBTConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowercase						: Dict						=						["MMBTForClassification", "MMBTModel", "ModalEmbeddings"]


if TYPE_CHECKING:
						from .configuration_mmbt import MMBTConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
						import sys

						_lowercase						: Optional[int]						=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





