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..mention in benchmark docs as well

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Wenzel Jakob 2016-08-19 09:38:14 +02:00
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docs/benchmark.rst
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@ -2,7 +2,10 @@ Benchmark
========= =========
The following is the result of a synthetic benchmark comparing both compilation The following is the result of a synthetic benchmark comparing both compilation
time and module size of pybind11 against Boost.Python. time and module size of pybind11 against Boost.Python. A detailed report about a
Boost.Python to pybind11 conversion of a real project is available here: [#f1]_.
.. [#f1] http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf
Setup Setup
----- -----

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docs/intro.rst
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@ -73,8 +73,6 @@ In addition to the core functionality, pybind11 provides some extra goodies:
of `PyRosetta`_, an enourmous Boot.Python binding project, reported a binary of `PyRosetta`_, an enourmous Boot.Python binding project, reported a binary
size reduction of **5.4x** and compile time reduction by **5.8x**. size reduction of **5.4x** and compile time reduction by **5.8x**.
.. _PyRosetta: http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf
- When supported by the compiler, two new C++14 features (relaxed constexpr and - When supported by the compiler, two new C++14 features (relaxed constexpr and
return value deduction) are used to precompute function signatures at compile return value deduction) are used to precompute function signatures at compile
time, leading to smaller binaries. time, leading to smaller binaries.
@ -82,6 +80,8 @@ In addition to the core functionality, pybind11 provides some extra goodies:
- With little extra effort, C++ types can be pickled and unpickled similar to - With little extra effort, C++ types can be pickled and unpickled similar to
regular Python objects. regular Python objects.
.. _PyRosetta: http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf
Supported compilers Supported compilers
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