libcommon | Library of reusable C++ code

I'm trying to add unit tests for some functions defined in this file:

• src/server/game/Miscellaneous/Formulas.h

My test file looks like this:

I want to use Pcap++ inside my Qt project. I've followed steps in the installation & introduction guide of PcapPlusPlus, but there are still unknowns:

• How do I implement that in my .pro file : include ../../../Dist/mk/PcapPlusPlus.mk
• And that:

I have an open-source game project that was mostly developed under Ubuntu. Recently I ported it to Windows, what consisted only in minor tweaks and then building it for Windows, since I only used cross-platform libraries and features.

To build it, initially I cross-compiled using MinGW-w64 from Ubuntu's 19.04 repositories, and it worked like a charm. This is what it reports as the version:

We have some very strange problem, program starts to hang out on boost::asio library usage, called from our logging library builded on boost::log. That happens only if we link our library in (this library works just fine in any other our project). Program starts to work if we create boost::asio::ip::tcp::socket object in initialization function of module, before log initialization, but it's not a decision of course. We also tried to add just array of same size, or more, but no, only socket object works.

GDB shows following:

I am trying to add python bindings to a medium-sized C++ scientific code (some tens of thousands LOCs). I have managed to make it work without too many issues, but I have now incurred in an issue which I am incapable of solving myself. The code is organized as follows:

• All the classes and data structures are compiled in a library libcommon.a
• Executables are created by linking this library
• pybind11 is used to create a core.so python module

The bindings for the "main" parts work fine. Indeed, simulations launched from the standalone code or from python give the exact same results.

However, the code also supports a plugin-like system which can load shared libraries at runtime. These shared libraries contain classes that inherit from interfaces defined in the main code. It turns out that if I try to link these shared libraries from python I get the infamous "undefined symbol" errors. I have checked that these symbols are in the core.so module (using nm -D). In fact, simulations that perform the dynamic linking with the standalone code works perfectly (within the same folder and with the same input). Somehow, the shared lib cannot find the right symbols when called through python, but it has no issues when loaded by the standalone code. I am using CMake to build the system.

What follows is a MCE. Copy each file in a folder, copy (or link) the pybind11 folder in the same place and use the following commands:

How to docker build from Dockerfile with more memory?

This is a different question from this Allow more memory when docker build a Dockerfile

When installing the software natively, there is enough memory to successfully build and install the marian tool

But when building the Docker image using the Dockerfile https://github.com/marian-nmt/marian/blob/master/scripts/docker/Dockerfile.cpu , it fails with multiple memory exhausted errors

There are several questions but no relevant answer yet. In my android studio project, I use several libraries with a different version. Now I facing error to run the project. I have some libraries with two different SDK version. One is sdk=25.3.1 and another is sdk=28.0.0 Here is my different build.gradle file.

My Project build.gradle file

I wrote a bunch of small CUDA programs. Most of them compile fine in debug and release builds. However, a few fail when compiled in Release mode because various GCC intrinsics are being given the wrong types of pointers. But I'm not actually using intrinsics. This program partially reproduces my problem:

I'm trying to create a cryptocurrency with the CryptoNote Starter (cryptonotestarter.org), but get some errors when I try compiling (I think it uses cmake, make, and boost). Here are the errors: