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@@ -216,14 +216,14 @@ comments: true
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class GraphAdjMat:
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""" 基于邻接矩阵实现的无向图类 """
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# 顶点列表,元素代表“顶点值”,索引代表“顶点索引”
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vertices = []
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vertices: List[int] = []
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# 邻接矩阵,行列索引对应“顶点索引”
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adj_mat = []
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adj_mat: List[List[int]] = []
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def __init__(self, vertices, edges):
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def __init__(self, vertices: List[int], edges: List[List[int]]) -> None:
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""" 构造方法 """
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self.vertices = []
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self.adj_mat = []
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self.vertices: List[int] = []
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self.adj_mat: List[List[int]] = []
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# 添加顶点
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for val in vertices:
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self.add_vertex(val)
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@@ -232,23 +232,23 @@ comments: true
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for e in edges:
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self.add_edge(e[0], e[1])
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def size(self):
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def size(self) -> int:
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""" 获取顶点数量 """
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return len(self.vertices)
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def add_vertex(self, val):
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def add_vertex(self, val: int) -> None:
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""" 添加顶点 """
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n = self.size()
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# 向顶点列表中添加新顶点的值
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self.vertices.append(val)
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# 在邻接矩阵中添加一行
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new_row = [0]*n
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new_row = [0] * n
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self.adj_mat.append(new_row)
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# 在邻接矩阵中添加一列
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for row in self.adj_mat:
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row.append(0)
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def remove_vertex(self, index):
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def remove_vertex(self, index: int) -> None:
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""" 删除顶点 """
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if index >= self.size():
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raise IndexError()
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@@ -260,7 +260,7 @@ comments: true
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for row in self.adj_mat:
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row.pop(index)
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def add_edge(self, i, j):
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def add_edge(self, i: int, j: int) -> None:
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""" 添加边 """
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# 参数 i, j 对应 vertices 元素索引
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# 索引越界与相等处理
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@@ -270,7 +270,7 @@ comments: true
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self.adj_mat[i][j] = 1
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self.adj_mat[j][i] = 1
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def remove_edge(self, i, j):
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def remove_edge(self, i: int, j: int) -> None:
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""" 删除边 """
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# 参数 i, j 对应 vertices 元素索引
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# 索引越界与相等处理
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@@ -279,7 +279,7 @@ comments: true
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self.adj_mat[i][j] = 0
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self.adj_mat[j][i] = 0
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def print(self):
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def print(self) -> None:
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""" 打印邻接矩阵 """
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print("顶点列表 =", self.vertices)
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print("邻接矩阵 =")
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@@ -965,12 +965,10 @@ comments: true
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```python title="graph_adjacency_list.py"
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class GraphAdjList:
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""" 基于邻接表实现的无向图类 """
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# 邻接表,key: 顶点,value:该顶点的所有邻接顶点
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adj_list = {}
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def __init__(self, edges: List[List[Vertex]]) -> None:
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""" 构造方法 """
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self.adj_list = {}
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# 邻接表,key: 顶点,value:该顶点的所有邻接顶点
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self.adj_list: Dict = {}
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# 添加所有顶点和边
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for edge in edges:
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self.add_vertex(edge[0])
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