将import语句从helpersimportconnect_db修改为.helpersimportconnect_db。 一旦我们解决了这些问题,我们会看到另一个问题——我们需要将is_connected变量大写。我们可以改变变量名称,或者抑制警告来处理这个错误。 抑制警告 在对Python代码进行检查时,你很有可能需要定制或抑...
def release_connection(self, conn): if self._reaper is not None: self._reaper.ensure_started() with self._sem: if self.pool.qsize() < self.max_size: connected = conn.is_connected() if connected and not self.too_old(conn): self.pool.put((conn.get_lifetime(), conn)) else: self...
socket.SOCK_STREAM)result=s.connect_ex((host,port))ifresult==0:returnTrueelse:returnFalseexceptExceptionase:print("An error occurred:",e)returnFalse# 调用示例host='127.0.0.1'port=12345ifis_connection_ok(host,port):print("Connection is OK")else:print("Connection is not OK")...
4.2 代码展示 判断网络是否连通:nx.is_connected( Graph ) 创建如上图a所示的网络 import networkx as nx # 构建一个网络 Ga = nx.Graph() # 添加节点和边 Ga.add_nodes_from([1,2,3,4,5,6,7]) Ga.add_edges_from([(1,2), (1,3), (2,3), (4,7), (5,6), (5,7), (6,7)]) ...
if mydb.is_connected(): mycursor.close() mydb.close() except: pass def fetch_count(): try: connect_database() sql="SELECT count(*) FROM status" val=() global mycursor mycursor.execute(sql,val) myresult=mycursor.fetchone() print("\nRecord count: ", myresult[...
# Ifthisis a persistent connection,checkifit got disconnectedifconn andis_connection_dropped(conn):log.debug("Resetting dropped connection: %s",self.host)conn.close()ifgetattr(conn,"auto_open",1)==0:conn=Nonereturnconn or self._new_conn()def_new_conn(self):""" ...
Reports whether the connection to MySQL Server is available. This method checks whether the connection to MySQL is available using theping()method, but unlikeping(),is_connected()returnsTruewhen the connection is available,Falseotherwise. PREVHOMEUPNEXT...
self.msg(user, msg) return # Otherwise check to see if it is a message directed at me if msg.startswith(self.nickname + ":"): msg = "%s: I am a log bot" % user self.msg(channel, msg) self.logger.log("<%s> %s" % (self.nickname, msg)) def action(self, user, channel, ...
self):print('talking')classXiyangyang(Sheep):deftalk(self):print('xiyangyang is excellent')...
(B, T, C), where B is batch size,T is sequence length, and C is embedding size.Returns:torch.Tensor: Output tensor of the same shape as the input."""x=self.forward_embedding(x)x=self.project_embedding(x)returnxdefforward_embedding(self,x):"""Applies the hidden linear layer followed...