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diff --git a/3rdparty/pybind11/README.md b/3rdparty/pybind11/README.md new file mode 100644 index 00000000..35d2d76f --- /dev/null +++ b/3rdparty/pybind11/README.md @@ -0,0 +1,129 @@ + + +# pybind11 — Seamless operability between C++11 and Python + +[](http://pybind11.readthedocs.org/en/master/?badge=master) +[](http://pybind11.readthedocs.org/en/stable/?badge=stable) +[](https://gitter.im/pybind/Lobby) +[](https://travis-ci.org/pybind/pybind11) +[](https://ci.appveyor.com/project/wjakob/pybind11) + +**pybind11** is a lightweight header-only library that exposes C++ types in Python +and vice versa, mainly to create Python bindings of existing C++ code. Its +goals and syntax are similar to the excellent +[Boost.Python](http://www.boost.org/doc/libs/1_58_0/libs/python/doc/) library +by David Abrahams: to minimize boilerplate code in traditional extension +modules by inferring type information using compile-time introspection. + +The main issue with Boost.Python—and the reason for creating such a similar +project—is Boost. Boost is an enormously large and complex suite of utility +libraries that works with almost every C++ compiler in existence. This +compatibility has its cost: arcane template tricks and workarounds are +necessary to support the oldest and buggiest of compiler specimens. Now that +C++11-compatible compilers are widely available, this heavy machinery has +become an excessively large and unnecessary dependency. + +Think of this library as a tiny self-contained version of Boost.Python with +everything stripped away that isn't relevant for binding generation. Without +comments, the core header files only require ~4K lines of code and depend on +Python (2.7 or 3.x, or PyPy2.7 >= 5.7) and the C++ standard library. This +compact implementation was possible thanks to some of the new C++11 language +features (specifically: tuples, lambda functions and variadic templates). Since +its creation, this library has grown beyond Boost.Python in many ways, leading +to dramatically simpler binding code in many common situations. + +Tutorial and reference documentation is provided at +[http://pybind11.readthedocs.org/en/master](http://pybind11.readthedocs.org/en/master). +A PDF version of the manual is available +[here](https://media.readthedocs.org/pdf/pybind11/master/pybind11.pdf). + +## Core features +pybind11 can map the following core C++ features to Python + +- Functions accepting and returning custom data structures per value, reference, or pointer +- Instance methods and static methods +- Overloaded functions +- Instance attributes and static attributes +- Arbitrary exception types +- Enumerations +- Callbacks +- Iterators and ranges +- Custom operators +- Single and multiple inheritance +- STL data structures +- Smart pointers with reference counting like ``std::shared_ptr`` +- Internal references with correct reference counting +- C++ classes with virtual (and pure virtual) methods can be extended in Python + +## Goodies +In addition to the core functionality, pybind11 provides some extra goodies: + +- Python 2.7, 3.x, and PyPy (PyPy2.7 >= 5.7) are supported with an + implementation-agnostic interface. + +- It is possible to bind C++11 lambda functions with captured variables. The + lambda capture data is stored inside the resulting Python function object. + +- pybind11 uses C++11 move constructors and move assignment operators whenever + possible to efficiently transfer custom data types. + +- It's easy to expose the internal storage of custom data types through + Pythons' buffer protocols. This is handy e.g. for fast conversion between + C++ matrix classes like Eigen and NumPy without expensive copy operations. + +- pybind11 can automatically vectorize functions so that they are transparently + applied to all entries of one or more NumPy array arguments. + +- Python's slice-based access and assignment operations can be supported with + just a few lines of code. + +- Everything is contained in just a few header files; there is no need to link + against any additional libraries. + +- Binaries are generally smaller by a factor of at least 2 compared to + equivalent bindings generated by Boost.Python. A recent pybind11 conversion + of PyRosetta, an enormous Boost.Python binding project, + [reported](http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf) a binary + size reduction of **5.4x** and compile time reduction by **5.8x**. + +- Function signatures are precomputed at compile time (using ``constexpr``), + leading to smaller binaries. + +- With little extra effort, C++ types can be pickled and unpickled similar to + regular Python objects. + +## Supported compilers + +1. Clang/LLVM 3.3 or newer (for Apple Xcode's clang, this is 5.0.0 or newer) +2. GCC 4.8 or newer +3. Microsoft Visual Studio 2015 Update 3 or newer +4. Intel C++ compiler 17 or newer (16 with pybind11 v2.0 and 15 with pybind11 v2.0 and a [workaround](https://github.com/pybind/pybind11/issues/276)) +5. Cygwin/GCC (tested on 2.5.1) + +## About + +This project was created by [Wenzel Jakob](http://rgl.epfl.ch/people/wjakob). +Significant features and/or improvements to the code were contributed by +Jonas Adler, +Lori A. Burns, +Sylvain Corlay, +Trent Houliston, +Axel Huebl, +@hulucc, +Sergey Lyskov +Johan Mabille, +Tomasz Miąsko, +Dean Moldovan, +Ben Pritchard, +Jason Rhinelander, +Boris Schäling, +Pim Schellart, +Henry Schreiner, +Ivan Smirnov, and +Patrick Stewart. + +### License + +pybind11 is provided under a BSD-style license that can be found in the +``LICENSE`` file. By using, distributing, or contributing to this project, +you agree to the terms and conditions of this license. |