


# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

__a     =			TypeVar("""T""")






class   __lowercase				(  Generic[T]  ):





      def __init__(		self						:					int					,       __lowerCamelCase						:					bool = True       )    ->   None:






         """simple docstring"""







         UpperCAmelCase							=     {}  # dictionary of lists
         UpperCAmelCase							=     directed





      def        _lowercase				(		self						:					Union[str, Any]					,       __lowerCamelCase						:					T					,       __lowerCamelCase						:					T       )    ->   GraphAdjacencyList[T]:






         """simple docstring"""







         if not self.directed:  # For undirected graphs
            # if both source vertex and destination vertex are both present in the
            # adjacency list, add destination vertex to source vertex list of adjacent
            # vertices and add source vertex to destination vertex list of adjacent
            # vertices.
            if source_vertex in self.adj_list and destination_vertex in self.adj_list:
               self.adj_list[source_vertex].append(__lowerCamelCase       )
               self.adj_list[destination_vertex].append(__lowerCamelCase       )
            # if only source vertex is present in adjacency list, add destination vertex
            # to source vertex list of adjacent vertices, then create a new vertex with
            # destination vertex as key and assign a list containing the source vertex
            # as it's first adjacent vertex.
            elif source_vertex in self.adj_list:
               self.adj_list[source_vertex].append(__lowerCamelCase       )
               UpperCAmelCase							=     [source_vertex]
            # if only destination vertex is present in adjacency list, add source vertex
            # to destination vertex list of adjacent vertices, then create a new vertex
            # with source vertex as key and assign a list containing the source vertex
            # as it's first adjacent vertex.
            elif destination_vertex in self.adj_list:
               self.adj_list[destination_vertex].append(__lowerCamelCase       )
               UpperCAmelCase							=     [destination_vertex]
            # if both source vertex and destination vertex are not present in adjacency
            # list, create a new vertex with source vertex as key and assign a list
            # containing the destination vertex as it's first adjacent vertex also
            # create a new vertex with destination vertex as key and assign a list
            # containing the source vertex as it's first adjacent vertex.
            else:
               UpperCAmelCase							=     [destination_vertex]
               UpperCAmelCase							=     [source_vertex]
         else:  # For directed graphs
            # if both source vertex and destination vertex are present in adjacency
            # list, add destination vertex to source vertex list of adjacent vertices.
            if source_vertex in self.adj_list and destination_vertex in self.adj_list:
               self.adj_list[source_vertex].append(__lowerCamelCase       )
            # if only source vertex is present in adjacency list, add destination
            # vertex to source vertex list of adjacent vertices and create a new vertex
            # with destination vertex as key, which has no adjacent vertex
            elif source_vertex in self.adj_list:
               self.adj_list[source_vertex].append(__lowerCamelCase       )
               UpperCAmelCase							=     []
            # if only destination vertex is present in adjacency list, create a new
            # vertex with source vertex as key and assign a list containing destination
            # vertex as first adjacent vertex
            elif destination_vertex in self.adj_list:
               UpperCAmelCase							=     [destination_vertex]
            # if both source vertex and destination vertex are not present in adjacency
            # list, create a new vertex with source vertex as key and a list containing
            # destination vertex as it's first adjacent vertex. Then create a new vertex
            # with destination vertex as key, which has no adjacent vertex
            else:
               UpperCAmelCase							=     [destination_vertex]
               UpperCAmelCase							=     []

         return self





      def __repr__(		self						:					Any       )    ->   str:






         """simple docstring"""







         return pformat(self.adj_list       )







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


__a     =			{"""tokenization_herbert""": ["""HerbertTokenizer"""]}

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


if TYPE_CHECKING:
 from .tokenization_herbert import HerbertTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_herbert_fast import HerbertTokenizerFast

else:
 import sys

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



