



"""simple docstring"""




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.
from queue import Queue


def   lowercase__     (			_UpperCAmelCase				)     ->			Optional[int]:






      '''simple docstring'''


      lowercase  :      int					=   Queue()
      lowercase  :      Tuple					=   [False] * len(_UpperCAmelCase				)
      lowercase  :      Optional[Any]					=   [-1] * len(_UpperCAmelCase				)

      def bfs():
            while not queue.empty():
                  lowercase  :      Optional[int]					=   queue.get()
                  lowercase  :      Union[str, Any]					=   True

                  for neighbour in graph[u]:
                        if neighbour == u:
                              return False

                        if color[neighbour] == -1:
                              lowercase  :      Dict					=   1 - color[u]
                              queue.put(_UpperCAmelCase				)

                        elif color[neighbour] == color[u]:
                              return False

            return True

      for i in range(len(_UpperCAmelCase				)				):
            if not visited[i]:
                  queue.put(_UpperCAmelCase				)
                  lowercase  :      List[Any]					=   0
                  if bfs() is False:
                        return False

      return True


if __name__ == "__main__":
     # Adjacency List of graph
     print(check_bipartite({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2]}))





"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


_UpperCamelCase:				int    							=  TypeVar('T', bound='TaskTemplate')


@dataclass(frozen=SCREAMING_SNAKE_CASE__     )
class   a__		(						abc.ABC     ):
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42


   def        lowercase				(							self      :							T,     lowerCAmelCase      :							Features			)    ->       T:
         return copy.deepcopy(self			)


   @property
   def        lowercase				(							self      :							Union[str, Any]			)    ->       Features:
         return Features(**self.input_schema,     **self.label_schema			)


   @property
   @abc.abstractmethod
   def        lowercase				(							self      :							Tuple			)    ->       Dict[str, str]:
         raise NotImplementedError






   @classmethod
   def        lowercase				(							cls      :							Type[T],     lowerCAmelCase      :							dict			)    ->       T:
         lowercase  :      Union[str, Any]					=   {f.name for f in dataclasses.fields(cls			)}
         return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)
