Search Results for "homebrew"

A terminal interface for Tetris. Installation on MacOS and Linux is outlined below. Windows support is questionable, but you can try to install from source. The default game is run by simply executing the tetris command. If the unicode characters look a bit wonky in your terminal, you can also run. People seem to have varying levels of success with the linux binary. Please note that it is compiled dynamically and hence should not be expected to work on most distros. This code is built on top...

Unused identifies unused code in Rails, Phoenix, and other types of applications, improving developer productivity. By default, unused leverages a different memory allocator called mimalloc. For my local benchmarks, it speeds up execution by a significant amount (which is documented in the commit introducing mimalloc), but currently runs into sporadic issues on Apple M1 devices. If you run into issues with segmentation faults, consider reinstalling unused with the stock Rust allocator. It is...

...Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. The stack.yaml file describes a NixOS environment containing the necessary dependencies.

zsh-git-prompt is a Z shell prompt script that displays rich Git repository information in your shell prompt, such as branch, ahead/behind status, staged changes, conflicts, and more. It enhances developer productivity in version-controlled workflows. There is now a Haskell implementation as well, which can be four to six times faster than the Python one. The reason is not that Haskell is faster in itself (although it is), but that this implementation calls git only once. You may redefine...

IHaskell is a kernel for the Jupyter project, which allows you to use Haskell inside Jupyter frontends (including the console and notebook). It currently supports GHC 8.0 through 9.0. For GHC 7.10 support please use the GHC7 tag. For a tour of some IHaskell features, check out the demo Notebook. More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features. IHaskell is based upon the IPython architecture and frontend, so learning about...