def GetID(self): return self.id
时间: 2024-03-11 20:30:21 浏览: 13
As an AI language model, I cannot see the full context of this code snippet. However, based on this snippet alone, it seems to be a method in a class that returns the ID attribute of an instance of that class.
The method is called "GetID" and it takes in one parameter "self", which refers to the instance of the class that this method is being called on.
The return statement simply returns the "id" attribute of the instance.
相关问题
from pythonds.basic import Queue class Vertex: def __init__(self,key): self.id = key self.connectedTo = {} def addNeighbor(self,nbr,weight=0): self.connectedTo[nbr] = weight def __str__(self): return str(self.id) + ' connectedTo: ' + str([x.id for x in self.connectedTo]) def getConnections(self): return self.connectedTo.keys() def getId(self): return self.id def getWeight(self,nbr): return self.connectedTo[nbr] class Graph: def __init__(self): self.vertList = {} self.numVertices = 0 def addVertex(self,key): self.numVertices = self.numVertices + 1 newVertex = Vertex(key) self.vertList[key] = newVertex return newVertex def getVertex(self,n): if n in self.vertList: return self.vertList[n] else: return None def __contains__(self,n): return n in self.vertList def addEdge(self,f,t,cost=0): if f not in self.vertList: nv = self.addVertex(f) if t not in self.vertList: nv = self.addVertex(t) self.vertList[f].addNeighbor(self.vertList[t], cost) def getVertices(self): return self.vertList.keys() def __iter__(self): return iter(self.vertList.values()) def bfs(g,start): start.setDistance(0) start.setPred(None) vertQueue=Queue() vertQueue.enqueue(start) while (vertQueue.size()>0): currentVert=vertQueue.dequeue() for nbr in currentVert.getConnections(): if (nbr.getColor()=='White'): nbr.setColor('gray') nbr.setDistance(currentVert.getDistance()+1) nbr.setPred(currentVert) vertQueue.enqueue(nbr) currentVert.setColor('black') List=["""1:A,2:B,3:C,4:D,5:E,6:F"""] g=Graph() for i in range(6): g.addVertex(i) g.addEdge(1,2,7) g.addEdge(2,1,2) g.addEdge(1,3,5) g.addEdge(1,6,1) g.addEdge(2,4,7) g.addEdge(2,5,3) g.addEdge(3,2,2) g.addEdge(3,6,8) g.addEdge(4,1,1) g.addEdge(4,5,2) g.addEdge(4,6,4) g.addEdge(5,1,6) g.addEdge(5,4,5) g.addEdge(6,2,1) g.addEdge(6,5,8) bfs(g,)优化这段代码
首先,这段代码中的bfs函数调用需要传入两个参数,一个是图g,一个是起始顶点start。因此,需要在函数调用时传入起始顶点参数。
其次,在bfs函数中,setDistance、setColor、setPred等方法的实现是未知的,需要在Vertex类中进行实现。为了实现bfs算法,需要在Vertex类中添加以下代码:
```
def setColor(self, color):
self.color = color
def getColor(self):
return self.color
def setDistance(self, dist):
self.distance = dist
def getDistance(self):
return self.distance
def setPred(self, pred):
self.pred = pred
def getPred(self):
return self.pred
```
最后,在bfs函数中,需要将起始顶点的颜色设置为灰色,将距离设置为0,将前驱顶点设置为None。因此,可以在函数开头添加以下代码:
```
start.setColor('gray')
start.setDistance(0)
start.setPred(None)
```
优化后的bfs函数代码如下:
```
def bfs(g, start):
start.setColor('gray')
start.setDistance(0)
start.setPred(None)
vertQueue = Queue()
vertQueue.enqueue(start)
while (vertQueue.size() > 0):
currentVert = vertQueue.dequeue()
for nbr in currentVert.getConnections():
if (nbr.getColor() == 'White'):
nbr.setColor('gray')
nbr.setDistance(currentVert.getDistance() + 1)
nbr.setPred(currentVert)
vertQueue.enqueue(nbr)
currentVert.setColor('black')
```
优化这段代码 class user() def init(self, id): self.id = id ef GetID(self): return self.id 实现self.id累计,并返回self.id
class User:
def __init__(self, id):
self.id = id
self.total_id = id
def get_id(self):
self.total_id += 1
return self.total_id