


from __future__ import annotations

from queue import Queue




class  A_ :







 """simple docstring"""





 def __init__(      self       :			Optional[int]					)     ->      None:
      UpperCAmelCase    :					Optional[int]			=      {}
 def 	_UpperCamelCase     (      self       :			str					)     ->      None:


      for i in self.vertices:
           print(a_							,     " : "							,     " -> ".join([str(a_					) for j in self.vertices[i]]					)					)
 def 	_UpperCamelCase     (      self       :			Union[str, Any]							,     _a       :			str							,     _a       :			Any					)     ->      None:


      if from_vertex in self.vertices:
           self.vertices[from_vertex].append(a_					)
      else:
           UpperCAmelCase    :					Optional[Any]			=      [to_vertex]

 def 	_UpperCamelCase     (      self       :			List[Any]							,     _a       :			Optional[int]					)     ->      set[int]:
      UpperCAmelCase    :					List[Any]			=      set()

      # create a first in first out queue to store all the vertices for BFS
      UpperCAmelCase    :					Dict			=      Queue()

      # mark the source node as visited and enqueue it
      visited.add(a_					)
      queue.put(a_					)

      while not queue.empty():
           UpperCAmelCase    :					int			=      queue.get()

           # loop through all adjacent vertex and enqueue it if not yet visited
           for adjacent_vertex in self.vertices[vertex]:
                if adjacent_vertex not in visited:
                     queue.put(a_					)
                     visited.add(a_					)
      return visited


if __name__ == "__main__":
      from doctest import testmod

      testmod(verbose=True)

      _snake_case				=			Graph()
      g.add_edge(0, 1)
      g.add_edge(0, 2)
      g.add_edge(1, 2)
      g.add_edge(2, 0)
      g.add_edge(2, 3)
      g.add_edge(3, 3)

      g.print_graph()
      # 0  :  1 -> 2
      # 1  :  2
      # 2  :  0 -> 3
      # 3  :  3

      assert sorted(g.bfs(2)) == [0, 1, 2, 3]











"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCamelCase											=     {"""configuration_pegasus""": ["""PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusConfig"""]}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase											=     ["""PegasusTokenizer"""]

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase											=     ["""PegasusTokenizerFast"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase											=     [
         """PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """PegasusForCausalLM""",
         """PegasusForConditionalGeneration""",
         """PegasusModel""",
         """PegasusPreTrainedModel""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase											=     [
         """TFPegasusForConditionalGeneration""",
         """TFPegasusModel""",
         """TFPegasusPreTrainedModel""",
     ]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase											=     [
         """FlaxPegasusForConditionalGeneration""",
         """FlaxPegasusModel""",
         """FlaxPegasusPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_pegasus import PegasusTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_pegasus_fast import PegasusTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_pegasus import (
              PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
              PegasusForCausalLM,
              PegasusForConditionalGeneration,
              PegasusModel,
              PegasusPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_pegasus import (
              FlaxPegasusForConditionalGeneration,
              FlaxPegasusModel,
              FlaxPegasusPreTrainedModel,
          )

else:
     import sys

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


