libclang | Release libclang on pypi | Compiler library

I have a library (both as source and compiled) and I'm writing a program (not linked to this library) that needs to know if some type in the library is e.g. trivially copyable or not.

I could make my program write the following into file.cpp:

With clang LibTooling API one can get a list of compiler predefines simply using clang::Preprocessor::getPredefines(), but I cannot find any equivalent in libclang API. Is it possible to get a list of compiler predefines with libclang API?

I have a python project with a bunch of modules and directories.

It runs as a CLI, and now I want another user able to run it on their system.

I exported my conda environment using:

I have a project that must be parsed before original compilation. It's needed for reflection purposes. In short I want to check edited .h files for some attributes in the code and gather info about it to generate specific include files. For example reflectable classes/fields/methods will be marked as META(parameters...). This macro will be defined like this #define META(...) __attribute__(annotate("reflectable")).

The code should looks like this (similar to Qt QObject or Unreal Engine 4):

1.

I am trying to move my rust server from Heroku to Google Cloud or AWS. Even though I like the simplicity of having a git push build and deploy to Heroku with just a buildpack specified, the service is not cost effective for me.

I identified Google Cloud Run and AWS Elastic Beanstalk as potential alternatives.

First, I need to build a docker image with a static binary.

Thus, I added this Dockerfile:

I thought rust compiler uses static binding and includes all the dependent libraries at compile time (hence executable size).

But when I've tried to use compiled binary in a docker scratch image with actix, mysql client and diesel with mysql feature enabled this error pops up:

Let's say I want to compile a C++ string on the fly:

I'm using PackageCompiler hoping to create an executable that eliminates just-in-time compilation overhead.

The documentation explains that I must define a function julia_main to call my program's logic, and write a "snoop file", a script that calls functions I wish to precompile. My julia_main takes a single argument, the location of a file containing the input data to be analysed. So to keep things simple my snoop file simply makes one call to julia_main with a particular input file. So I'd hope to see the generated executable run nice and fast (no compilation overhead) when executed against that same input file.

But alas, that's not what I see. In a fresh Julia instance julia_main takes approx 74 seconds for the first execution and about 4.5 seconds for subsequent executions. The executable file takes approx 50 seconds each time it's called.

My use of the build_executable function looks like this:

I am trying to use clang as a library, but I am not sure how to link the files in the Makefile.

Trying out the ASTVisitor code from: https://clang.llvm.org/docs/RAVFrontendAction.html

Here is my Makefile for reference: