


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__       :	List[str]     				={
    'configuration_mpnet': ['MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MPNetConfig'],
    'tokenization_mpnet': ['MPNetTokenizer'],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=['MPNetTokenizerFast']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Tuple     				=[
				    'MPNET_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'MPNetForMaskedLM',
				    'MPNetForMultipleChoice',
				    'MPNetForQuestionAnswering',
				    'MPNetForSequenceClassification',
				    'MPNetForTokenClassification',
				    'MPNetLayer',
				    'MPNetModel',
				    'MPNetPreTrainedModel',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	str     				=[
				    'TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'TFMPNetEmbeddings',
				    'TFMPNetForMaskedLM',
				    'TFMPNetForMultipleChoice',
				    'TFMPNetForQuestionAnswering',
				    'TFMPNetForSequenceClassification',
				    'TFMPNetForTokenClassification',
				    'TFMPNetMainLayer',
				    'TFMPNetModel',
				    'TFMPNetPreTrainedModel',
				]


if TYPE_CHECKING:
				from .configuration_mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig
				from .tokenization_mpnet import MPNetTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mpnet_fast import MPNetTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mpnet import (
								    MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MPNetForMaskedLM,
								    MPNetForMultipleChoice,
								    MPNetForQuestionAnswering,
								    MPNetForSequenceClassification,
								    MPNetForTokenClassification,
								    MPNetLayer,
								    MPNetModel,
								    MPNetPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_mpnet import (
								    TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFMPNetEmbeddings,
								    TFMPNetForMaskedLM,
								    TFMPNetForMultipleChoice,
								    TFMPNetForQuestionAnswering,
								    TFMPNetForSequenceClassification,
								    TFMPNetForTokenClassification,
								    TFMPNetMainLayer,
								    TFMPNetModel,
								    TFMPNetPreTrainedModel,
								)

else:
				import sys

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









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


lowerCAmelCase__       :	List[Any]     				={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=['MBart50Tokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Any     				=['MBart50TokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa import MBartaaTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
				import sys

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





