pmo process flow

Law one: Specify the available network cards: nids_params.device= "Lo"; Law two: there is a paragraph in nids.h:struct NIDS_CHKSUM_CTL {U_int netaddr;U_int Mask;U_int Action;U_int reserved;};extern void Nids_register_chksum_ctl (struct nids_chksum_ctl *,int);This paragraph is related to the calculation of the checksum, compared to the new NIC driver will automatically calculate the checksum, we have to do is to turn it off, by:At the beginning of the main () function, add such a piece of code:st

1. Create a Processdefinitionaction.javaPackage Cn.itcast.oa.view.action;import Java.io.file;import Java.io.fileinputstream;import java.io.InputStream; Import Java.util.list;import Java.util.zip.zipinputstream;import Org.jbpm.api.processdefinition;import Org.springframework.context.annotation.scope;import Org.springframework.stereotype.controller;import Cn.itcast.oa.service.processdefinitionservice;import Com.opensymphony.xwork2.ActionContext; @Controller @scope (" Prototype ") public class P

ToolsF11: One sentence to execute, if a function is encountered, then jump into the function, then a sentence to execute. F10: by procedure, when a function is encountered,F10 executes the entire function as a statement without jumping into executionShif+f11 jumps out of a function. Local variables: You can see the change of the variableBreakpoints: You can see the breakpoint condition, you can set breakpoints, cancel breakpoints.Install plug-in firebugwith firefox browser, set breakpoints, ste

parsing 2,sql optimization Query optimization is the process of choosing the most efficient way to execute SQL statements. Database optimization of queries is based on statistical information collected for actual data being accessed. The optimizer uses the number of rows, dataset size, and other factors to generate various possible execution plans and assigns a cost value to each plan. The database uses a plan with the lowest cost. The databas

;coroutine after a line break ending#让协程返回值#例子16-14From collections Import Namedtupleresult = namedtuple (' result ', ' Count average ')Def averager ():Total = 0.0Count = 0Average = NoneWhile True:term = yieldIf term is None:BreakTotal + = termCount + = 1Average = Total/countReturn Result (Count,average)Coro_avg = Averager ()Print (Next (coro_avg)) #无产出Print (coro_avg.send) #无产出Print (Coro_avg.send ()) #无产出Print (Coro_avg.send (6.5)) #无产出#print (Coro_avg.send (None)) #StopIteration: Result (coun