



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_		 =					{
    """configuration_megatron_bert""": ["""MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MegatronBertConfig"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		 =					[
       """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

   UpperCAmelCase_		 =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








from __future__ import annotations

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:dict	,   _snake_case	:str				)  ->     set[str]:
   _A  ,    _A      =       set(_snake_case				), [start]

   while stack:
      _A      =       stack.pop()
      explored.add(_snake_case				)
      # Differences from BFS:
      # 1) pop last element instead of first one
      # 2) add adjacent elements to stack without exploring them
      for adj in reversed(graph[v]				):
         if adj not in explored:
            stack.append(_snake_case				)
   return explored


UpperCAmelCase_		 =					{
    """A""": ["""B""", """C""", """D"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B""", """D"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E""", """G"""],
    """G""": ["""F"""],
}

if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(depth_first_search(G, """A"""))



