



"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase					=       {'''configuration_fnet''': ['''FNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FNetConfig''']}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase					=       ['''FNetTokenizer''']

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase					=       ['''FNetTokenizerFast''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase					=       [
					    '''FNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''FNetForMaskedLM''',
					    '''FNetForMultipleChoice''',
					    '''FNetForNextSentencePrediction''',
					    '''FNetForPreTraining''',
					    '''FNetForQuestionAnswering''',
					    '''FNetForSequenceClassification''',
					    '''FNetForTokenClassification''',
					    '''FNetLayer''',
					    '''FNetModel''',
					    '''FNetPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_fnet import FNetTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_fnet_fast import FNetTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_fnet import (
										    FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    FNetForMaskedLM,
										    FNetForMultipleChoice,
										    FNetForNextSentencePrediction,
										    FNetForPreTraining,
										    FNetForQuestionAnswering,
										    FNetForSequenceClassification,
										    FNetForTokenClassification,
										    FNetLayer,
										    FNetModel,
										    FNetPreTrainedModel,
										)


else:
					import sys

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










"""simple docstring"""
def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				return numa ^ numa < 0


if __name__ == "__main__":
			import doctest

			doctest.testmod()

