global

问题 So I've been attempting to find the solution to this but so far everything I've read online has to do with scope issues and not declaring the variables with the my keyword. However, I can't seem to fix the issues because I've declared everything at the top and, to me at least, it seems I don't have scope issues. My errors for the following code are: Global symbol "$filename" requires explicit package name at read_ids.pl line 6. Global symbol "$filename" requires explicit package name at read

问题 For some reason I'm getting a global name is not defined error here. The issue lies in the addClient method where I am incrementing my global variable joinID . It throws me an error NameError: global name 'joinID' is not defined . What am I doing wrong? class Chatroom: clients = [] joinID = 0 def __init__(self,name,refNum): self.refNum = refNum self.name = name def addClient(self,clientName): global clients global joinID joinID = joinID+1 clients.append(clientName, joinID) def removeClient

问题 I want to trap, modify and divert all the keydown/keyup events in the system within my cocoa app. I know about CGEventTapCreate but, didn't found any working code from net. Thanks 回答1: Found Solution: self.machPortRef = CGEventTapCreate(kCGSessionEventTap, kCGTailAppendEventTap, kCGEventTapOptionDefault, CGEventMaskBit(kCGEventKeyDown), (CGEventTapCallBack)eventTapFunction, self); if (self.machPortRef == NULL) { printf("CGEventTapCreate failed!\n"); } else { self.eventSrc =

问题 Calling all experts on local regression and/or R ! I have run into a limitation of the standard loess function in R and hope you have some advice. The current implementation supports only 1-4 predictors . Let me set out our application scenario to show why this can easily become a problem as soon as we want to employ globally fit parametric covariables . Essentially, we have a spatial distortion s(x,y) overlaid over a number of measurements z : z_i = s(x_i,y_i) + v_{g_i} These measurements z

问题 Calling globals requires a ridiculous amount of time to load compared to not using them at all: Consider a loop with 1000 iterations doing some calculation with those variables: 0,6 sec no globals (~1000 variables), 2,2 sec one defined global variable (and the other variables), 6 sec ~1000 globals (and the other variables). So you see DEFINING already one global is the step which slows down iterations in a function that uses globals considerably, in contrast to not using them in the first

问题 Calling globals requires a ridiculous amount of time to load compared to not using them at all: Consider a loop with 1000 iterations doing some calculation with those variables: 0,6 sec no globals (~1000 variables), 2,2 sec one defined global variable (and the other variables), 6 sec ~1000 globals (and the other variables). So you see DEFINING already one global is the step which slows down iterations in a function that uses globals considerably, in contrast to not using them in the first

问题 I have these datasets: A <- 4, B <- 3, C <- 2 . So I put them in a list D<-list(A,B,C) and want to apply this function: s<-function(x) { t<-8 x<-as.data.frame(x*t) } lapply(D,s) when I apply the lapply function it just print them. How can I make it saving the result in the global environment instead of printing them? So the result should be A with value of 32 B with value of 24 C with value of 16. 回答1: Instead of lapply(D,s) , use: D <- lapply(D, s) names(D) <- c("A", "B", "C") list2env(D,

问题 What is the difference between declaring a variable within a function as global or public/private VS passing it to a function as an argument? Other related confusion I've recently caused myself a big headache trying to pass aa array variable into a function as global and editing it inside and hoping to return it altered, and it took me hours to figure out that I needed to pass it into the function as an argument by reference, like functionCall(&$arrayVar); Secondary question: But I am still

问题 Has anyone tried the gpu_sync functions described in the article "Inter-Block GPU Communication via Fast Barrier Synchronization"? All the codes described seems pretty simple and easy to implement but it keeps freezing up my GPU. I'm sure I'm doing something stupid but I can't see what. Can anyone help me? The strategy I'm using is the one described in the section “GPU Lock-Free Synchronization” and here is the OpenCL source code I've implemented: static void globalSync(uint iGoalValue,

问题 I have a Firebird database (v. 2.5), I'm not allowed to create procedures, views or tables into the database, because of losing support. My view is too long: Too many Contexts of Relation/Procedure/Views. Maximum allowed is 255 I think I can solve this Problem by creating GTT, right? My question is, this GTT will be stored in the Database? When is the GTT deleted? I tried in a copy of my database and created a GTT, after that I closed my connection and reconnected and the GTT was there