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import queue
class UndirectedGraph(object):
    Undirected Graph, with graph represented as an adjacency matrix
    def __init__(self, vertices):
        self.adjacency_matrix = []
        for i in range(vertices):
            self.adjacency_matrix.append([0] * vertices)
    def add_edge(self, source, destination):
        """
        Adds an edge defined by vertices from source to destination
        then destination to source in matrix
        :param source:
        :param destination:
        :return:
        """
        self.adjacency_matrix[source][destination] = 1
        self.adjacency_matrix[destination][source] = 1
    def get_vertex(self):
        """
        Generator for returning the next vertex from the adjacency list
        :return:
        """
        for v, __ in enumerate(self.adjacency_matrix):
            yield v
    def get_neighbor(self, vertex):
        """
        Generator for returning the next vertex adjacent to the given vertex
        :param vertex:
        :return:
        """
        for i, flag in enumerate(self.adjacency_matrix[vertex]):
            if flag == 1:
                yield i
    def dfs_recursive(self):
        """
        Computes the parents for each vertex as determined through depth-first-search
        (though not too meaningful in an undirected weightless graph)
        :return: parents for each vertex
        :rtype: dict
        """
        parents = {}
        self.dfs_util(0, parents)
        return parents
    def dfs_util(self, vertex, parents):
        for u in self.get_neighbor(vertex):
            if u not in parents:
                parents[u] = vertex
                self.dfs_util(u, parents)
    def dfs_iterative(self):
        """
        Computes the parents for each vertex as determined through depth-first-search
        (though not too meaningful in an undirected weightless graph)
        :return: parents for each vertex
        :rtype: dict
        """
        parents = {}
        to_visit = [0]
        while to_visit:
            v = to_visit.pop()
            for neighbor in self.get_neighbor(v):
                if neighbor not in parents:
                    parents[neighbor] = v
                    to_visit.append(neighbor)
        return parents
    def bfs(self):
        """
        Computes the the parents for each vertex as determined through breadth-first search
        :return: parents for each vertex
        :rtype: dict
        """
        parents = {}
        to_visit = queue.Queue()
        to_visit.put(0)
        while not to_visit.empty():
            v = to_visit.get()
            for neighbor in self.get_neighbor(v):
                if neighbor not in parents:
                    parents[neighbor] = v
                    to_visit.put(neighbor)
        return parents
    def is_bipartite(self):
        """
        Returns true if graph is bipartite
        :rtype: bool
        """
        colorings = {}
        to_visit = queue.Queue()
        to_visit.put(0)
        colorings[0] = 0
        while not to_visit.empty():
            v = to_visit.get()
            for u in self.get_neighbor(v):
                if u not in colorings:
                    colorings[u] = 1 - colorings[v]
                    to_visit.put(u)
                elif colorings[u] == colorings[v]:
                    return False
        return True
def get_test_graph_1():
    udg = UndirectedGraph(9)
    udg.add_edge(0, 1)
    udg.add_edge(1, 2)
    udg.add_edge(2, 3)
    udg.add_edge(1, 7)
    udg.add_edge(3, 7)
    udg.add_edge(7, 8)
    udg.add_edge(3, 4)
    udg.add_edge(3, 5)
    udg.add_edge(4, 5)
    udg.add_edge(5, 6)
    udg.add_edge(6, 7)
    udg.add_edge(6, 8)
    return udg
def get_test_graph_2():
    udg = UndirectedGraph(8)
    udg.add_edge(0, 1)
    udg.add_edge(0, 5)
    udg.add_edge(2, 1)
    udg.add_edge(2, 3)
    udg.add_edge(2, 5)
    udg.add_edge(4, 3)
    udg.add_edge(4, 5)
    udg.add_edge(4, 7)
    udg.add_edge(6, 7)
    return udg
def test_dfs_recursive():
    udg = get_test_graph_1()
    p1 = udg.dfs_recursive()
    assert(p1 == {0: 1, 1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7})
def test_dfs_iterative():
    udg = get_test_graph_1()
    p1 = udg.dfs_iterative()
    assert(p1 == {0: 1, 1: 0, 2: 1, 3: 7, 4: 5, 5: 6, 6: 7, 7: 1, 8: 7})
def test_bfs():
    udg = get_test_graph_1()
    p1 = udg.bfs()
    assert(p1 == {0: 1, 1: 0, 2: 1, 3: 2, 4: 3, 5: 3, 6: 7, 7: 1, 8: 7})
def test_bipartite():
    udg = get_test_graph_1()
    assert(udg.is_bipartite() == False)
    udg2 = get_test_graph_2()
    assert (udg2.is_bipartite() == True)
def main():
    test_dfs_recursive()
    test_dfs_iterative()
    test_bfs()
    test_bipartite()
    print("Tests complete.")
if __name__ == "__main__":
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