


"""simple docstring"""


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate



@dataclass(frozen=__lowercase )
class   _a      (      __lowercase ):
    a_    :				str             =    field(default='text-classification'		,		metadata={'include_in_asdict_even_if_is_default': True} )
    a_    :				ClassVar[Features]             =    Features({'text': Value('string' )} )
    a_    :				ClassVar[Features]             =    Features({'labels': ClassLabel} )
    a_    :				str             =    "text"
    a_    :				str             =    "labels"
    def      _UpperCamelCase       ( self							:					Optional[int]							,     SCREAMING_SNAKE_CASE__							:					Optional[int]				):
          if self.label_column not in features:
                raise ValueError(F'Column {self.label_column} is not present in features.'				)
          if not isinstance(features[self.label_column]							,     __a				):
                raise ValueError(F'Column {self.label_column} is not a ClassLabel.'				)
          lowerCamelCase__           =		copy.deepcopy(self				)
          lowerCamelCase__           =		self.label_schema.copy()
          lowerCamelCase__           =		features[self.label_column]
          lowerCamelCase__           =		label_schema
          return task_template


    @property
    def      _UpperCamelCase       ( self							:					List[str]				):
          return {
              self.text_column: "text",
              self.label_column: "labels",
          }







"""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.



def   snake_case						(				_a:     Optional[Any]							)->		Union[str, Any]:
      '''simple docstring'''


      lowerCamelCase__           =		[False] * len(_a							)
      lowerCamelCase__           =		[-1] * len(_a							)

      def dfs(_a:     Any		,   _a:     Optional[int]							):
            lowerCamelCase__           =		True
            lowerCamelCase__           =		c
            for u in graph[v]:
                  if not visited[u]:
                        dfs(_a		,   1 - c							)

      for i in range(len(_a							)							):
            if not visited[i]:
                  dfs(_a		,   0							)

      for i in range(len(_a							)							):
            for j in graph[i]:
                  if color[i] == color[j]:
                        return False

      return True


# Adjacency list of graph
_snake_case          =							{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}






print(check_bipartite_dfs(graph))



