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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def __dfs(self, v, index, layers):
 """ we recursively run dfs on each vertices in free_vertex, :param v: vertices in free_vertex :return: True if P is not empty (i.e., the maximal set of vertex-disjoint alternating path of length k) and false otherwise. """

        if index == 0:
            path = [v]
            while self._dfs_parent[v] != v:
                path.append(self._dfs_parent[v])
                v = self._dfs_parent[v]
            self._dfs_paths.append(path)
            return True
        for neighbour in self._graph[v]:  # check the neighbours of vertex
            if neighbour in layers[index - 1]:
                # if neighbour is in left, we are traversing unmatched edges..
                if neighbour in self._dfs_parent:
                    continue
                if (neighbour in self._left and (v not in self._matching or neighbour != self._matching[v])) or \
                        (neighbour in self._right and (v in self._matching and neighbour == self._matching[v])):
                    self._dfs_parent[neighbour] = v
                    if self.__dfs(neighbour, index-1, layers):
                        return True
        return False