Exceptions in F# when running on Azure

We have a C# web role running in Azure, and the C# project invokes code in an F# dll that we deploy with our app. When we're running locally using the local Azure emulator, our F# code is invoked and runs fine. When it's running in Azure in the cloud, our F# code fails at a certain point with this exception: Failed to parse x's function: var(2).Exception: System.IO.FileNotFoundEx

F#在Azure上运行时的例外情况

我们有一个在Azure中运行的C#web角色,C#项目调用我们用应用程序部署的F#dll中的代码。 当我们使用本地Azure模拟器在本地运行时,我们的F#代码被调用并运行良好。 当它在云中的Azure中运行时,我们的F#代码在某个点出现此异常时失败: 无法解析x的函数:var(2).Exception:System.IO.FileNotFoundException:无法加载文件或程序集'FSharp.Core,Version = 2.0.0.0,Culture = neutral,PublicKeyToken = b03f5f7

How do I make automatic version numbers work in Visual Studio

I've been asked to add automatic numbering to assemblies in our code library. I've been changing versions from the default 1.0.0.0 to 1.0.* like this: [assembly: AssemblyVersion("1.0.*")] It generates a number as I'd like. However, the code library has many hundreds of DLLs, with many referencing each other. Now when I compile some projects they complain that the ver

如何在Visual Studio中使自动版本号工作

我被要求在我们的代码库中为程序集添加自动编号。 我一直在将版本从默认1.0.0.0更改为1.0 *,如下所示: [汇编:AssemblyVersion(“1.0。*”)] 它会根据我的需要生成一个数字。 但是,代码库有数百个DLL,其中很多都是相互引用的。 现在当我编译一些项目时,他们抱怨引用组件所需的DLL版本不正确,并且它们不会生成:( 我该如何做这项工作? 我们需要它,以便在编译代码库层次结构底部的DLL时,所有其他引用它的DLL都

Automatically update version number

I would like the version property of my application to be incremented for each build but I'm not sure on how to enable this functionality in Visual Studio (2005/2008). I have tried to specify the AssemblyVersion as 1.0.* but it doesn't get me exactly what I want. I'm also using a settings file and in earlier attempts when the assembly version changed my settings got reset to the de

自动更新版本号

我想为每个构建增加应用程序的版本属性,但我不确定如何在Visual Studio(2005/2008)中启用此功能。 我试图将AssemblyVersion指定为1.0 *,但它并不能完全满足我的要求。 我也在使用一个设置文件,而在之前的尝试中,当程序集版本更改我的设置时,由于应用程序在另一个目录中查找设置文件而重置为默认设置。 我希望能够以1.1.38的形式显示版本号,因此当用户发现问题时,我可以记录他们正在使用的版本,并告诉他们如果他们

Catching segfaults in C

I have a program that segfaults from pointer arithmetic sometimes. I know this happens, but I can't easily check ahead of time to see whether it segfaults or not - either I can "pre-scan" input data to see if it will cause a segfault (which can be impossible to determine), or I can refit it to not use pointer arithmetic, which would require a significantly larger amount of work, or

捕捉C中的段错误

我有一个程序,有时会从指针算术进行段错误。 我知道会发生这种情况,但我不能提前检查是否存在段错误 - 要么我可以“预扫描”输入数据,看它是否会导致段错误(这是不可能确定的),或者我可以改装它不使用指针算术,这将需要大量的工作,或者我可以尝试捕捉段错误。 所以我的问题是: 1)在C中,如何捕捉段错误? 我知道操作系统中的某些东西会导致段错误,但是如果C段程序的Segmentation fault比分Segmentation fault更优

How to generate core dump file in Ubuntu

This question already has an answer here: How to generate a core dump in Linux when a process gets a segmentation fault? 9 answers Activate your coredumps by: ulimit -c unlimited Also check: $ sysctl kernel.core_pattern to see where your dumps are created (%e will be the process name, and %t will be the system time). You can change it in /etc/sysctl.conf and then reload by sysctl -p .

如何在Ubuntu中生成核心转储文件

这个问题在这里已经有了答案: 如何在进程出现分段错误时在Linux中生成核心转储? 9个答案 激活你的coredumps: ulimit -c unlimited 另请检查: $ sysctl kernel.core_pattern 查看您的转储的创建位置(%e将是进程名称,%t将是系统时间)。 您可以在/etc/sysctl.conf中更改它,然后通过sysctl -p重新加载。 你可以测试它: sleep 10 & killall -SIGSEGV sleep 如果核心转储成功,您将在分段故障指示后看到

print the segmentation fault reason

This question already has an answer here: How to automatically generate a stacktrace when my gcc C++ program crashes 28 answers If you want to know the cause you can register a signal handler, something like: void handler(int signum, siginfo_t *info, void *context) { struct sigaction action = { .sa_handler = SIG_DFL, .sa_sigaction = NULL, .sa_mask = 0, .sa_flags = 0, .s

打印分段故障原因

这个问题在这里已经有了答案: 当我的gcc C ++程序崩溃了28个答案时如何自动生成堆栈跟踪 如果您想知道原因,您可以注册一个信号处理程序,如下所示: void handler(int signum, siginfo_t *info, void *context) { struct sigaction action = { .sa_handler = SIG_DFL, .sa_sigaction = NULL, .sa_mask = 0, .sa_flags = 0, .sa_restorer = NULL }; fprintf(stderr, "Fault address: %pn", info

dup2() not executing

This is my first question so I apologize if I'm omitting anything important. So I've been working on an assignment that handles piping via forking. My code is pretty messy, littered with printf statements so I see what's going on. I've looked around online and I think I get the idea of how to handle piping, but the problem I'm having is that my code skips dup2() on any fil

dup2()不执行

这是我的第一个问题,所以我很抱歉,如果我忽略了任何重要的事情。 所以我一直在研究通过分叉处理管道的任务。 我的代码非常混乱,散布着printf语句,所以我看到发生了什么。 我在网上查了一下,我想我知道如何处理管道,但是我遇到的问题是我的代码在除了inFD和outFD之外的任何文件描述符上跳过dup2()。 这是我的功能的代码。 另外,据我所知,我的老师制作了一个名为CHK的宏来检查错误。 如果有错误(如dup2返回-1)

Optimization for Matrix Multiply (OpenMP)

I am learning a little bit about openMP and trying to use it here to multiply two matrices together. void matrix_multiply(matrix *A, matrix *B, matrix *C) { #pragma omp parallel { #pragma omp for for(int i = 0; i < A->dim.rows; i++) { for(int j = 0; j < B->dim.cols; j++) { C->data[i][j] = 0; for (int k = 0; k &l

矩阵乘法优化(OpenMP)

我正在学习一些关于openMP的知识,并试图在这里使用它来将两个矩阵相乘。 void matrix_multiply(matrix *A, matrix *B, matrix *C) { #pragma omp parallel { #pragma omp for for(int i = 0; i < A->dim.rows; i++) { for(int j = 0; j < B->dim.cols; j++) { C->data[i][j] = 0; for (int k = 0; k < A->dim.cols; k++) {

How to multiply a 4x4 matrix with a 1x3 matrix in C?

If you already have a set 4x4 matrix. Ex. Matrix A = [1 2 3 4; 5 6 7 8;` 9 10 11 12; 13 14 15 16] Matrix B = [1, 2, 3] How would you convert Matrix A into C coding? Also what would there positions be in code? For position I mean: if I'm trying to multiply the first row into matrix B, can I do this? A[1][0]*B[0]+A[1][1]*B[1]+A[1][2]*B[2] Outline code

如何乘以一个4x4矩阵与C中的1x3矩阵?

如果你已经有一个4x4的矩阵。 防爆。 Matrix A = [1 2 3 4; 5 6 7 8;` 9 10 11 12; 13 14 15 16] Matrix B = [1, 2, 3] 你如何将矩阵A转换为C编码? 还有什么位置在代码中? 对于位置我的意思是:如果我试图将第一行乘以矩阵B,我可以这样做吗? A[1][0]*B[0]+A[1][1]*B[1]+A[1][2]*B[2] 大纲代码: main(){ int matrixA[4][4] = [{"1","2","3","4"};

OpenMP Performance Issues with Matrix Multiplication

I am having issues with the performance using OpenMp. I am trying to test the results of a single threaded program not using OpenMP and an app using OpenMP. By looking at results online that are comparing matrix chain multiplication programs the openMP implementation is 2 to 3 times as fast, but my implementation is the same speed for both apps. Is the way I am implementing openMP incorrect?

矩阵乘法的OpenMP性能问题

我遇到使用OpenMp的性能问题。 我试图测试不使用OpenMP和使用OpenMP的应用程序的单线程程序的结果。 通过查看在线比较矩阵链乘法程序的结果,openMP实现速度是其速度的2到3倍,但是我的实现对于两个应用程序来说都是相同的速度。 我正在实施openMP的方式不正确吗? openMP上的任何指针以及如何正确实现它? 任何帮助深表感谢。 提前致谢。 #include <stdio.h> #include <stdlib.h> #include <time.h> i