
"""simple docstring"""


class 					A_			:



							"""simple docstring"""






							def __init__(						self						:List[str]  ,							lowerCamelCase_						:Optional[int]=None ):





										"""simple docstring"""

										lowerCamelCase__			:  List[Any]  =data
										lowerCamelCase__			:  int  =None





							def __repr__(						self						:int ):





										"""simple docstring"""

										lowerCamelCase__			:  Any  =''
										lowerCamelCase__			:  Tuple  =self
										while temp:
													string_rep += f"""<{temp.data}> ---> """
													lowerCamelCase__			:  Dict  =temp.next
										string_rep += "<END>"
										return string_rep






def      lowerCAmelCase_     (	snake_case_	:    Optional[int]    )     ->int:







			if not elements_list:
						raise Exception('The Elements List is empty'    )

			# Set first element as Head
			lowerCamelCase__			:  Optional[Any]  =Node(elements_list[0]    )
			lowerCamelCase__			:  str  =head
			# Loop through elements from position 1
			for data in elements_list[1:]:
						lowerCamelCase__			:  Union[str, Any]  =Node(snake_case_    )
						lowerCamelCase__			:  List[str]  =current.next
			return head


lowerCAmelCase			=		[1, 3, 5, 32, 44, 12, 43]
print(f"""List: {list_data}""")
print("""Creating Linked List from List.""")
lowerCAmelCase			=		make_linked_list(list_data)
print("""Linked List:""")

print(linked_list)








"""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      lowerCAmelCase_     (	snake_case_	:    List[Any]    )     ->Optional[int]:
			lowerCamelCase__			:  Optional[int]  =Queue()
			lowerCamelCase__			:  Any  =[False] * len(snake_case_    )
			lowerCamelCase__			:  Optional[Any]  =[-1] * len(snake_case_    )

			def bfs():
						while not queue.empty():
									lowerCamelCase__			:  List[Any]  =queue.get()
									lowerCamelCase__			:  int  =True

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

												if color[neighbour] == -1:
															lowerCamelCase__			:  Union[str, Any]  =1 - color[u]
															queue.put(snake_case_    )

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

						return True

			for i in range(len(snake_case_    )    ):
						if not visited[i]:
									queue.put(snake_case_    )
									lowerCamelCase__			:  Tuple  =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]}))