
"""simple docstring"""


from __future__ import annotations

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




class  __lowerCamelCase  :




				def __init__(				self							,						UpperCAmelCase							,						UpperCAmelCase   ):
							lowerCamelCase_					=  graph
							# mapping node to its parent in resulting breadth first tree
							lowerCamelCase_					=  {}
							lowerCamelCase_					=  source_vertex




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  {self.source_vertex}
							lowerCamelCase_					=  None
							lowerCamelCase_					=  [self.source_vertex]  # first in first out queue

							while queue:
										lowerCamelCase_					=  queue.pop(0   )
										for adjacent_vertex in self.graph[vertex]:
													if adjacent_vertex not in visited:
																visited.add(UpperCAmelCase   )
																lowerCamelCase_					=  vertex
																queue.append(UpperCAmelCase   )





				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							if target_vertex == self.source_vertex:
										return self.source_vertex

							lowerCamelCase_					=  self.parent.get(UpperCAmelCase   )
							if target_vertex_parent is None:
										lowerCamelCase_					=  (
										    f"No path from vertex: {self.source_vertex} to vertex: {target_vertex}"
										)
										raise ValueError(UpperCAmelCase   )

							return self.shortest_path(UpperCAmelCase   ) + f"->{target_vertex}"


if __name__ == "__main__":
						A_    							=					Graph(graph, """G""")
						g.breath_first_search()
						print(g.shortest_path("""D"""))
						print(g.shortest_path("""G"""))
						print(g.shortest_path("""Foo"""))







from typing import TYPE_CHECKING

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


UpperCAmelCase   :    Any     =		{
    "configuration_roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig"],
    "tokenization_roc_bert": ["RoCBertTokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		pass

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    Union[str, Any]     =		[
		    "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "RoCBertForCausalLM",
		    "RoCBertForMaskedLM",
		    "RoCBertForMultipleChoice",
		    "RoCBertForPreTraining",
		    "RoCBertForQuestionAnswering",
		    "RoCBertForSequenceClassification",
		    "RoCBertForTokenClassification",
		    "RoCBertLayer",
		    "RoCBertModel",
		    "RoCBertPreTrainedModel",
		    "load_tf_weights_in_roc_bert",
		]

if TYPE_CHECKING:
		from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
		from .tokenization_roc_bert import RoCBertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				raise OptionalDependencyNotAvailable()

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_roc_bert import (
				    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    RoCBertForCausalLM,
				    RoCBertForMaskedLM,
				    RoCBertForMultipleChoice,
				    RoCBertForPreTraining,
				    RoCBertForQuestionAnswering,
				    RoCBertForSequenceClassification,
				    RoCBertForTokenClassification,
				    RoCBertLayer,
				    RoCBertModel,
				    RoCBertPreTrainedModel,
				    load_tf_weights_in_roc_bert,
				)


else:
		import sys

		UpperCAmelCase   :    Tuple     =		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

