






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case      :      Optional[Any]             =       {
    """configuration_megatron_bert""": ["""MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MegatronBertConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case      :      Any             =       [
					    """MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MegatronBertForCausalLM""",
					    """MegatronBertForMaskedLM""",
					    """MegatronBertForMultipleChoice""",
					    """MegatronBertForNextSentencePrediction""",
					    """MegatronBertForPreTraining""",
					    """MegatronBertForQuestionAnswering""",
					    """MegatronBertForSequenceClassification""",
					    """MegatronBertForTokenClassification""",
					    """MegatronBertModel""",
					    """MegatronBertPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_megatron_bert import (
										    MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MegatronBertForCausalLM,
										    MegatronBertForMaskedLM,
										    MegatronBertForMultipleChoice,
										    MegatronBertForNextSentencePrediction,
										    MegatronBertForPreTraining,
										    MegatronBertForQuestionAnswering,
										    MegatronBertForSequenceClassification,
										    MegatronBertForTokenClassification,
										    MegatronBertModel,
										    MegatronBertPreTrainedModel,
										)

else:
					import sys

					__snake_case      :      Dict             =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)














def 		_UpperCamelCase				(      UpperCamelCase_    :   str						)					->				str:

						"""simple docstring"""



						return " ".join(input_str.split()[::-1]						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()





