Build Instruction
- Build Instruction
- Tutorial 1 - Hello, Jet!
- Tutorial 2 - Using Mesh and Surface Set
- Tutorial 3 - Using Python API
- Manual (Feature) Tests
- Unit Tests
- Performance Tests
- Supported Platforms
- C++ API Reference
- Python API Reference
Building the Code
To get started, clone the code from the repository and also download dependent libraries by running
git clone https://github.com/doyubkim/fluid-engine-dev.git
cd fluid-engine-dev.git
git submodule init
git submodule update
To build the code, a compiler that supports C++11 is required. Platform-specific build instructions are described below.
Building from macOS
Jet supports OS X 10.10 Yosemite or higher. Also, Xcode 6.4 or higher and the command line tools are required for building Jet. Once ready, install Homebrew and run the following command line to setup CMake:
brew install cmake python
Note that we want
brew
version of Python which is recommended. You can still use macOS’s default Python.
Once CMake is installed, build the code by running
mkdir build
cd build
cmake ..
make
Of course, use
make -j<num_threads>
flag to boost up the build performance by using multithreads.
This will build entire codebase. To run the unit test, execute
bin/unit_tests
It should show all the tests are passing.
Building from Ubuntu
Jet supports Ubuntu 14.04 or higher. Using apt-get
, install required tools and libraries by running,
sudo apt-get install build-essential python-dev python-pip cmake
This will install GNU compilers, python, and CMake. Once installed, build the code by running
mkdir build
cd build
cmake ..
make
Again, use
make -j<num_threads>
flag to boost up the build performance by using multithreads.
This will build entire codebase. To run the unit test, execute
bin/unit_tests
It should show all the tests are passing.
Building from Windows
To build the code on Windows, CMake, Python, and Visual Studio 2015 (or higher) is required. Windows’ version of CMake is available from this website, Python installer can be downloaded from here. For Python, version 2.7.9 or later is recommended. To install Visual Studio, the community edition of the tool can be downloaded from Visual Studio Community 2015. You can also use Visual Studio 2017.
Once everything is installed, run the following commands:
md build
cd build
cmake .. -G"Visual Studio 14 2015 Win64"
This will generate 64-bit version of VS 2015 solution and projects. (To build with Visual Studio 2017, just replace the parameter with Visual Studio 15 2017 Win64
.) Once executed, you can find jet.sln
solution file in the build
directory. Open the solution file and hit Ctrl + Shift + B
to build the entire solution. Set unit_tests
as a start-up project and hit Ctrl + F5
to run the test.
Alternatively, you can use MSBuild to build the solution from the command prompt. In such case, simply run:
MSBuild jet.sln /p:Configuration=Release
This will build the whole solution in release mode. Once built, run the following command to execute unit tests:
bin\Release\unit_tests.exe
Running Tests
There are four different tests in the codebase including the unit test, manual test, performance test, and Python API test. For the detailed instruction on how to run those tests, please checkout the documentation page from the project website.
Installing C++ SDK
For macOS and Ubuntu platforms, the library can be installed by running
cmake .. -DCMAKE_INSTALL_PREFIX=_INSTALL_PATH_
make
make install
This will install the header files and the static library libjet.a
under _INSTALL_PATH_
.
For Windows, run:
cmake .. -G"Visual Studio 14 2015 Win64" -DCMAKE_INSTALL_PREFIX=_INSTALL_PATH_
Then, build INSTALL
project under jet.sln
. This will install the header files and the static library jet.lib
under _INSTALL_PATH_
.
Installing Python SDK
To install the Python SDK, pyjet
, run the following command from the project root directory (where setup.py
lives):
pip install -U .
You can also use
virtualenv
to isolate the SDK installation. Check out the virtualenv documentation for more details.
To run the test/example scripts, install other Python dependencies as follows:
pip install -r requirements.txt
Once installed, try running the unit test to see if the module is installed correctly:
python src/tests/python_tests/main.py
The tests should pass.
Coding Style
Jet uses clang-format. Checkout .clang-format
file for the style guideline.
Continuous Integration
The build quality is tracked by Travis CI for Linux and Mac. For Windows, AppVeyor is used. Any pull requests must pass all the builds.