import jax.numpy as jnp

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


_SCREAMING_SNAKE_CASE      						=	logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE      						=	'T5Config'





def        lowercase(     UpperCamelCase_				, UpperCamelCase_				, UpperCamelCase_    )						->     jnp.ndarray:







 '''simple docstring'''
 UpperCamelCase          =	jnp.zeros_like(lowercase_    )
 UpperCamelCase          =	shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]    )
 UpperCamelCase          =	shifted_input_ids.at[:, 0].set(lowercase_    )

 UpperCamelCase          =	jnp.where(shifted_input_ids == -100				, lowercase_				, lowercase_    )
 return shifted_input_ids
class SCREAMING_SNAKE_CASE_						(	__lowerCAmelCase						):
   __lowerCAmelCase      =							'''mt5'''
   __lowerCAmelCase      =							MTaConfig





class SCREAMING_SNAKE_CASE_						(	__lowerCAmelCase						):
   __lowerCAmelCase      =							'''mt5'''
   __lowerCAmelCase      =							MTaConfig





class SCREAMING_SNAKE_CASE_						(	__lowerCAmelCase						):
   __lowerCAmelCase      =							'''mt5'''
   __lowerCAmelCase      =							MTaConfig



from typing import TYPE_CHECKING

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


A_       : List[str]         =			{
    'configuration_gpt_neox_japanese': ['GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXJapaneseConfig'],
    'tokenization_gpt_neox_japanese': ['GPTNeoXJapaneseTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_       : Optional[int]         =			[
	    'GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTNeoXJapaneseForCausalLM',
	    'GPTNeoXJapaneseLayer',
	    'GPTNeoXJapaneseModel',
	    'GPTNeoXJapanesePreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
	from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox_japanese import (
		    GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXJapaneseForCausalLM,
		    GPTNeoXJapaneseLayer,
		    GPTNeoXJapaneseModel,
		    GPTNeoXJapanesePreTrainedModel,
		)


else:
	import sys

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



