TinySpline  0.6.0
Spline Library for a Multitude of Programming Languages
BUILD

TinySpline uses the CMake build system to compile and package its interfaces. The following compiler suites are tested: GCC, Clang, and MSVC. In order to create the bindings, Swig (3.0.1 or later) must be available. Each binding may have additional dependencies that are necessary to compile the native library of the target language. The following table gives an overview:

Language Dependencies to Generate Source (Relative) Output Directory
C# csharp
D - dlang
Golang - go
Java Java Development Kit java/org/tinyspline
Lua Lua headers lua
Octave Octave headers octave
PHP PHP (Zend) headers * php
Python Python headers python
R R headers and RCPP r
Ruby Ruby headers ruby
  • Please note that macOS comes with PHP, but does not provide the Zend headers. It is recommended to use a package manager (such as Homebrew) to obtain the required headers.

In addition, the following tools are required to compile the generated interface files (.java files etc.) and create the binary package of the target language using CMake:

Language Required Tool(s) Output File
C# Any of: csc, mcs, dmcs, gmcs TinySpline.dll
Java javac and jar (available in JDK) tinyspline.jar

Checkout the repository and cd into it:

git clone git@github.com:msteinbeck/tinyspline.git tinyspline
cd tinyspline

Create a build directory and cd into it:

mkdir build
cd build

Run CMake and build the project:

cmake ..
cmake --build .

To build a specific interface, use -DTINYSPLINE_ENABLE_<LANGUAGE> when setting up CMake (<LANGUAGE> is interface you want to build). For example:

cmake -DTINYSPLINE_ENABLE_PYTHON=True ..
cmake --build . tinysplinepython

Note that the C interface is always enabled and cannot be disabled. By default, the C++ interface is enabled but can be disabled by setting the corresponding CMake option to False, Off etc.

To enable all interfaces at once, use -DTINYSPLINE_ENABLE_ALL_INTERFACES:

cmake -DTINYSPLINE_ENABLE_ALL_INTERFACES=True ..
cmake --build .

You will find the libraries and packages in tinyspline/build/lib.

Python 2 vs. Python 3

While generating the Python binding, Swig needs to distinguish between Python 2 and Python 3. That is, Swig uses the command line parameter -py to generate Python 2 compatible code and -py3 to generate Python 3 compatible code. Accordingly, Swig is configured depending on the Python version found by CMake during initialization. On systems with multiple versions of Python installed, CMake usually chooses the more recent one. If you want to use a specific version of Python instead, set the CMake option TINYSPLINE_PYTHON_VERSION to 2 or 3.

The following example shows how to force CMake to use Python 2 rather than Python 3:

cmake -DTINYSPLINE_PYTHON_VERSION=2 ..

Install the C and C++ Interfaces

The following command installs the C and C++ (if enabled) interface to your system:

cmake --build . --target install

This command also installs a set of CMake config scripts and pkg-config files (for the C and C++ interface respectively). The CMake config script of the C interface exports the following variables:

  • TINYSPLINE_INCLUDE_DIRS: Contain the header files.
  • TINYSPLINE_LIBRARY_DIRS: Contain the libraries.
  • TINYSPLINE_LIBRARIES: Shared libraries to link against.
  • TINYSPLINE_DEFINITIONS: Definitions to add with add_definitions.
  • TINYSPLINE_VERSION: The version string.

The CMake config script of the C++ interface exports the same variables except that they have prefix TINYSPLINECXX, e.g., TINYSPLINECXX_INCLUDE_DIRS.

Use the CMake commands find_package(tinyspline) (C) and find_package(tinysplinecxx) (C++) to include TinySpline into your project.

Install the Bindings

Depending on your build configuration, binding-related distribution files are generated within the root of your build directory. For example, the file setup.py is generated if Python is enabled. Currently, the following build tools are supported: NuGet (C#), Dub (D), Maven (Java), and Luarocks (Lua), Setuptools (Python), RubyGems (Ruby).