

"""simple docstring"""

from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
_UpperCamelCase		    =						TypeVar("""T""", bound="""Enum""")






@unique
class  __a				(	lowerCAmelCase_					):





       """simple docstring"""


       __UpperCamelCase				:			Any          =	80
       __UpperCamelCase				:			str          =	70
       __UpperCamelCase				:			List[Any]          =	60
       __UpperCamelCase				:			Tuple          =	50
       __UpperCamelCase				:			str          =	40
       __UpperCamelCase				:			Any          =	30
       __UpperCamelCase				:			List[str]          =	20
       __UpperCamelCase				:			List[str]          =	10






@unique
class  __a				(	lowerCAmelCase_					):





       """simple docstring"""


       __UpperCamelCase				:			Optional[Any]          =	24
       __UpperCamelCase				:			Optional[int]          =	21
       __UpperCamelCase				:			str          =	18
       __UpperCamelCase				:			Dict          =	15
       __UpperCamelCase				:			List[str]          =	12
       __UpperCamelCase				:			Optional[int]          =	9
       __UpperCamelCase				:			Union[str, Any]          =	6
       __UpperCamelCase				:			str          =	3
       __UpperCamelCase				:			Dict          =	2
       __UpperCamelCase				:			List[str]          =	1
       __UpperCamelCase				:			List[str]          =	-1
       __UpperCamelCase				:			Dict          =	-2
       __UpperCamelCase				:			Dict          =	-3
       __UpperCamelCase				:			Optional[int]          =	-6
       __UpperCamelCase				:			Any          =	-9
       __UpperCamelCase				:			str          =	-12
       __UpperCamelCase				:			Optional[Any]          =	-15
       __UpperCamelCase				:			str          =	-18
       __UpperCamelCase				:			List[Any]          =	-21
       __UpperCamelCase				:			int          =	-24






       @classmethod
       def  SCREAMING_SNAKE_CASE_  (      cls      ):





        """simple docstring"""

        return {unit.name: unit.value for unit in cls if unit.value > 0}






       @classmethod
       def  SCREAMING_SNAKE_CASE_  (      cls      ):





        """simple docstring"""

        return {unit.name: unit.value for unit in cls if unit.value < 0}




def 			SCREAMING_SNAKE_CASE       (   lowercase__      ) ->	Optional[Any]:
 lowerCAmelCase__      :							Optional[int]    =							SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
 for name_prefix, value_prefix in prefixes.items():
  lowerCAmelCase__      :							Any    =							value / (1_0**value_prefix)
  if numerical_part > 1:
   return F"""{numerical_part!s} {name_prefix}"""
 return str(_SCREAMING_SNAKE_CASE      )



def 			SCREAMING_SNAKE_CASE       (   lowercase__      ) ->	Tuple:
 for prefix in BinaryUnit:
  lowerCAmelCase__      :							str    =							value / (2**prefix.value)
  if numerical_part > 1:
   return F"""{numerical_part!s} {prefix.name}"""
 return str(_SCREAMING_SNAKE_CASE      )


if __name__ == "__main__":
    import doctest

    doctest.testmod()









"""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 			SCREAMING_SNAKE_CASE       (   lowercase__      ) ->	List[str]:
 lowerCAmelCase__      :							Tuple    =							Queue()
 lowerCAmelCase__      :							Optional[int]    =							[False] * len(lowercase__      )
 lowerCAmelCase__      :							Dict    =							[-1] * len(lowercase__      )

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

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

    if color[neighbour] == -1:
     lowerCAmelCase__      :							Any    =							1 - color[u]
     queue.put(lowercase__      )

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

  return True

 for i in range(len(lowercase__      )      ):
  if not visited[i]:
   queue.put(lowercase__      )
   lowerCAmelCase__      :							int    =							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]}))






