yuhangwang

1. install GPG Suite (https://gpgtools.org)
2. follow the setup tutorial https://help.github.com/en/github/authenticating-to-github/generating-a-new-gpg-key
3. Tell Git to use the GPG signing key I just created. https://help.github.com/en/github/authenticating-to-github/telling-git-about-your-signing-key

   git config --global user.signingkey 3AA5C34371567BD2
   git config --global gpg.program gpg
   git config --global commit.gpgsign true 
   

4. run a test echo "test" | gpg --clearsign. There will be a popup window asking for passphrase for GPG. Enter it and

yuhangwang

alias isync="rsync --links --stats --progress -trpv"

yuhangwang

// gcc -std=c99 -O3 -fPIC -shared -Wl,-soname,mylib -o mylib.so mylib.c

#include <stdio.h>
#include <complex.h>

int build_hamiltonian(int i, double d, complex double *m)
{
    m[0]=2.*I;
    return 0;
}

yuhangwang

// gcc -std=c99 -O3 -fPIC -shared -Wl,-soname,mylib -o mylib.so mylib.c

#include <stdio.h>
#include <complex.h>

int build_hamiltonian(int i, double d, complex double *m)
{
    m[0]=2.*I;
    return 0;
}

yuhangwang

// gcc -std=c99 -O3 -fPIC -shared -Wl,-soname,mylib -o mylib.so mylib.c

#include <stdio.h>
#include <complex.h>

int build_hamiltonian(int i, double d, complex double *m)
{
    m[0]=2.*I;
    return 0;
}

yuhangwang

Rust

• rusty-machine Machine Learning library for Rust

yuhangwang

Machine Learning

• hasktorch Tensors and neural networks in Haskell

Haskell-Rust

• haskellrs a good example of calling a Rust library from Haskell

yuhangwang

Image Processing

• image This crate provides native rust implementations of image encoders and decoders and basic image manipulation functions.

Functional Reactive Programming

• carboxyl is a library for functional reactive programming in Rust, a functional and composable approach to handle events in interactive applications.
• SodiumFRP A Functional Reactive Programming (FRP) library for Rust

Monad

• mdo is a monadic do notation using macro and duck typing. It provides a syntax extention providing something looking like the Haskell do notation, and rewrite it using a bind function. Some functions are privided for some common monadic structures.

yuhangwang

1. https://github.com/HuwCampbell/grenade

yuhangwang

On Windows 8.1, only MinGW option worked for me. MSYS2 was fine for building LLVM alone but have problems when building Clang due to the CMakefile's confusion of MSYS2 with Linux system (esp. system/resource header files). Visual Studio build option has similar confusion problem. Note that the MinGW option requires "sh.exe" not present in the PATH enverionment variable. As long as the GCC compilers are available, the building process is okay. I have finished the LLVM/Clang+"Clang extra tools" build using PowerShell. Don't build compiler-rt project. It is not compatible with windows for now. Here is the shell script I used to build LLVM/Clang. Note that I disabled most of the tests for both LLVM and Clang because they don't compile well on windows. Note: building dynamic library libLLVM.dll works on windows with MinGW64.

Here is the bash file that includes the commands I used for building LLVM (I used Git bash).