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Follow the steps below to install and run LPython on Linux, Windows or macOS.
Follow the instructions provided here to install Conda on your platform (Linux, macOS and Windows) using a conda-forge distribution called Miniforge.
For Windows, these are additional requirements:
Linux
Run the following command to install some global build dependencies:
sudo apt-get install build-essential binutils-dev clang zlib1g-devWindows
Download and install Microsoft Visual Studio Community for free.
Run the Visual Studio Installer. Download and install the "Desktop Development with C++" workload which will install the Visual C++ Compiler (MSVC).
Launch the Miniforge prompt from the Desktop. It is recommended to use MiniForge instead of Powershell as the main terminal to build and write code for LPython. In the MiniForge Prompt, initialize the MSVC compiler using the below command:
call "C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\VsDevCmd" -arch=x64You can optionally test MSVC via:
cl /?
link /?Both commands must print several pages of help text.
Windows with WSL
Install Miniforge Prompt and add it to path:
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p $HOME/conda_root
export PATH="$HOME/conda_root/bin:$PATH"
conda init bash # (shell name)Open a new terminal window and run the following commands to install dependencies:
conda create -n lp -c conda-forge llvmdev=11.0.1 bison=3.4 re2c python cmake make toml clangdev gitOptionally, you can change the directory to a Windows location using cd /mnt/[drive letter]/[windows location]. For e.g. - cd mnt/c/Users/name/source/repos/.
Make sure you have git installed. Type the following command to clone the repository:
git clone https://github.com/lcompilers/lpython.git
cd lpythonYou may also use GitHub Desktop to do the same.
Create a Conda environment:
conda env create -f environment_unix.yml
conda activate lpGenerate the prerequisite files and build in Debug Mode:
# if you are developing on top of a forked repository; please run following command first
# ./generate_default_tag.sh
./build0.sh
./build1.shCreate a Conda environment using the pre-existing file:
conda env create -f environment_win.yml
conda activate lpGenerate the prerequisite files and build in Release Mode:
call build0.bat
call build1.batActivate the Conda environment:
conda activate lpRun the following commands to build the project:
./build0.sh
cmake -DCMAKE_BUILD_TYPE=Debug -DWITH_LLVM=yes -DCMAKE_INSTALL_PREFIX=`pwd`/inst .\
make -j8Run tests:
ctest
./run_tests.pyUpdate test references:
./run_tests.py -u
Run integration tests:
cd integration_tests
./run_tests.pyIn case you have recently updated macOS, you may get a warning like below in some test cases:
ld: warning: object file (test_list_index2.out.tmp.o) was built for newer macOS version (14.0) than being linked (13.3)This leads to mismatch of hashes with expected output in some test cases, this can be resolved by updating command line tools:
git clean -dfx
sudo rm -rf /Library/Developer/CommandLineTools # make sure you know what you're doing here
sudo xcode-select --install
./build.sh
./run_tests.pySpeed up Integration Tests on macOS
Integration tests run slowly because Apple checks the hash of each executable online before running.
You can turn off that feature in the Privacy tab of the Security and Privacy item of System Preferences > Developer Tools > Terminal.app > "allow the apps below to run software locally that does not meet the system's security policy."
Run integration tests
python run_tests.py --skip-run-with-dbgUpdate reference tests
python run_tests.py -u --skip-run-with-dbgYou can run the following examples manually in a terminal:
./src/bin/lpython examples/expr2.py
./src/bin/lpython examples/expr2.py -o expr
./expr
./src/bin/lpython --show-ast examples/expr2.py
./src/bin/lpython --show-asr examples/expr2.py
./src/bin/lpython --show-cpp examples/expr2.py
./src/bin/lpython --show-llvm examples/expr2.py
./src/bin/lpython --show-c examples/expr2.pyPlease report any bugs you find at our issue tracker here. Or, even better, fork the repository on GitHub and create a Pull Request (PR).
We welcome all changes, big or small. We will help you make a PR if you are new to git.
If you have any questions or need help, please ask us at Zulip or on our mailinglist.
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