






import jax.numpy as jnp

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


UpperCAmelCase_ :						Dict      =      logging.get_logger(__name__)

UpperCAmelCase_ :						Dict      =      '''T5Config'''

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






	"""simple docstring"""



	UpperCamelCase     :List[str]          =	jnp.zeros_like(__magic_name__					)
	UpperCamelCase     :str          =	shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]					)
	UpperCamelCase     :Tuple          =	shifted_input_ids.at[:, 0].set(__magic_name__					)

	UpperCamelCase     :int          =	jnp.where(shifted_input_ids == -100	,			__magic_name__	,			__magic_name__					)
	return shifted_input_ids

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     List[Any]     	=  """mt5"""
	snake_case__							:     Optional[Any]     	=  MTaConfig

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Optional[int]     	=  """mt5"""
	snake_case__							:     Any     	=  MTaConfig

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Optional[Any]     	=  """mt5"""
	snake_case__							:     List[Any]     	=  MTaConfig


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase  :					List[str]													=       {'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase  :					Optional[Any]													=       [
		    'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ViTMSNModel',
		    'ViTMSNForImageClassification',
		    'ViTMSNPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vit_msn import (
				    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViTMSNForImageClassification,
				    ViTMSNModel,
				    ViTMSNPreTrainedModel,
				)

else:
		import sys

		lowercase  :					Optional[Any]													=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)