ext: Add pybind rev f4b81b3

Change-Id: I52e4fc9ebf2f59da57d8cf8f3e37cc79598c2f5f
Signed-off-by: Andreas Sandberg <andreas.sandberg@arm.com>
Reviewed-by: Andreas Hansson <andreas.hansson@arm.com>
Reviewed-by: Curtis Dunham <curtis.dunham@arm.com>
Reviewed-on: https://gem5-review.googlesource.com/2229
Reviewed-by: Tony Gutierrez <anthony.gutierrez@amd.com>
Reviewed-by: Jason Lowe-Power <jason@lowepower.com>
Reviewed-by: Pierre-Yves Péneau <pierre-yves.peneau@lirmm.fr>

SConstruct

@@ -1381,6 +1381,8 @@ for root, dirs, files in os.walk(ext_dir):
         main.SConscript(joinpath(root, 'SConscript'),
                         variant_dir=joinpath(build_root, build_dir))
 
+main.Prepend(CPPPATH=Dir('ext/pybind11/include/'))
+
 ###################################################
 #
 # This function is used to set up a directory with switching headers

ext/pybind11/.appveyor.yml

@@ -0,0 +1,33 @@
+version: 1.0.{build}
+os: Visual Studio 2015
+test: off
+platform:
+- x86
+- x64
+environment:
+  matrix:
+  - CONDA: 27
+  - CONDA: 35
+install:
+- ps: |
+    if ($env:PLATFORM -eq "x64") { $env:CMAKE_ARCH = "x64" }
+    if ($env:PYTHON) {
+      if ($env:PLATFORM -eq "x64") { $env:PYTHON = "$env:PYTHON-x64" }
+      $env:PATH = "C:\Python$env:PYTHON\;C:\Python$env:PYTHON\Scripts\;$env:PATH"
+      pip install --disable-pip-version-check --user --upgrade pip wheel
+      pip install pytest numpy scipy
+    } elseif ($env:CONDA) {
+      if ($env:CONDA -eq "27") { $env:CONDA = "" }
+      if ($env:PLATFORM -eq "x64") { $env:CONDA = "$env:CONDA-x64" }
+      $env:PATH = "C:\Miniconda$env:CONDA\;C:\Miniconda$env:CONDA\Scripts\;$env:PATH"
+      conda install -y -q pytest numpy scipy
+    }
+- ps: |
+    Start-FileDownload 'http://bitbucket.org/eigen/eigen/get/3.3.0.zip'
+    7z x 3.3.0.zip -y > $null
+    $env:CMAKE_INCLUDE_PATH = "eigen-eigen-26667be4f70b"
+build_script:
+- cmake -A "%CMAKE_ARCH%" -DPYBIND11_WERROR=ON
+- set MSBuildLogger="C:\Program Files\AppVeyor\BuildAgent\Appveyor.MSBuildLogger.dll"
+- cmake --build . --config Release --target pytest -- /v:m /logger:%MSBuildLogger%
+- cmake --build . --config Release --target test_install -- /v:m /logger:%MSBuildLogger%

ext/pybind11/.gitignore

@@ -0,0 +1,37 @@
+CMakeCache.txt
+CMakeFiles
+Makefile
+cmake_install.cmake
+.DS_Store
+*.so
+*.pyd
+*.dll
+*.sln
+*.sdf
+*.opensdf
+*.vcxproj
+*.filters
+example.dir
+Win32
+x64
+Release
+Debug
+.vs
+CTestTestfile.cmake
+Testing
+autogen
+MANIFEST
+/.ninja_*
+/*.ninja
+/docs/.build
+*.py[co]
+*.egg-info
+*~
+.DS_Store
+/dist
+/build
+/cmake/
+.cache/
+sosize-*.txt
+pybind11Config*.cmake
+pybind11Targets.cmake

ext/pybind11/.gitmodules

@@ -0,0 +1,3 @@
+[submodule "tools/clang"]
+	path = tools/clang
+	url = https://github.com/wjakob/clang-cindex-python3

ext/pybind11/.travis.yml

@@ -0,0 +1,115 @@
+language: cpp
+sudo: false
+matrix:
+  include:
+  - os: linux
+    env: PYTHON=2.7 CPP=11 GCC=4.8
+    addons:
+      apt:
+        sources: [ubuntu-toolchain-r-test, kubuntu-backports]
+        packages: [g++-4.8, cmake]
+  - os: linux
+    env: PYTHON=3.5 CPP=11 GCC=4.8
+    addons:
+      apt:
+        sources: [ubuntu-toolchain-r-test, kubuntu-backports, deadsnakes]
+        packages: [g++-4.8, cmake, python3.5-dev]
+  - sudo: true
+    services: docker
+    env: PYTHON=2.7 CPP=14 GCC=6
+  - sudo: true
+    services: docker
+    env: PYTHON=3.5 CPP=14 GCC=6 DEBUG=1
+  - os: osx
+    osx_image: xcode7.3
+    env: PYTHON=2.7 CPP=14 CLANG
+  - os: osx
+    osx_image: xcode7.3
+    env: PYTHON=3.5 CPP=14 CLANG
+  # A barebones build makes sure everything still works without optional deps (numpy/scipy/eigen)
+  # and also tests the automatic discovery functions in CMake (Python version, C++ standard).
+  - os: linux
+    env: BAREBONES
+    addons:
+      apt:
+        sources: [ubuntu-toolchain-r-test, kubuntu-backports]
+        packages: [g++-4.8, cmake]
+    install: pip install pytest
+  # Documentation build:
+  - os: linux
+    language: docs
+    env: DOCS STYLE LINT
+    install:
+    - pip install --upgrade sphinx sphinx_rtd_theme flake8 pep8-naming
+    - pip install docutils==0.12
+    script:
+    - make -C docs html SPHINX_OPTIONS=-W
+    - tools/check-style.sh
+    - flake8
+cache:
+  directories:
+  - $HOME/.cache/pip
+  - $HOME/Library/Caches/pip
+before_install:
+- |
+  # Configure build variables
+  if [ "$TRAVIS_OS_NAME" = "linux" ]; then
+    if [ -z "$GCC" ]; then export GCC=4.8; fi
+    export CXX=g++-$GCC CC=gcc-$GCC;
+    if [ "$GCC" = "6" ]; then export DOCKER=debian:testing CXX=g++ CC=gcc; fi
+  elif [ "$TRAVIS_OS_NAME" = "osx" ]; then
+    export CXX=clang++ CC=clang;
+  fi
+  if [ -n "$CPP" ]; then export CPP=-std=c++$CPP; fi
+  if [ "${PYTHON:0:1}" = "3" ]; then export PY=3; fi
+  if [ -n "$DEBUG" ]; then export CMAKE_EXTRA_ARGS="-DCMAKE_BUILD_TYPE=Debug"; fi
+- |
+  # Initialize enviornment
+  if [ -n "$DOCKER" ]; then
+    docker pull $DOCKER
+    export containerid=$(docker run --detach --tty \
+      --volume="$PWD":/pybind11 --workdir=/pybind11 \
+      --env="CC=$CC" --env="CXX=$CXX" --env="DEBIAN_FRONTEND=$DEBIAN_FRONTEND" \
+      --env=GCC_COLORS=\  \
+      $DOCKER)
+    docker exec --tty "$containerid" sh -c 'for s in 0 15; do sleep $s; apt-get update && apt-get -qy dist-upgrade && break; done'
+    export SCRIPT_RUN_PREFIX="docker exec --tty $containerid"
+  else
+    if [ "$TRAVIS_OS_NAME" = "linux" ]; then
+      pip install --user --upgrade pip virtualenv
+      virtualenv -p python$PYTHON venv
+    elif [ "$TRAVIS_OS_NAME" = "osx" ]; then
+      if [ "$PY" = "3" ]; then
+        brew update; brew install python$PY;
+      else
+        curl -fsSL -O https://bootstrap.pypa.io/get-pip.py
+        sudo -H python get-pip.py
+      fi
+      pip$PY install --user --upgrade pip virtualenv
+      python$PY -m virtualenv venv
+    fi
+    source venv/bin/activate
+  fi
+install:
+- |
+  # Install dependencies
+  if [ -n "$DOCKER" ]; then
+    docker exec --tty "$containerid" sh -c "for s in 0 15; do sleep \$s; apt-get -qy --no-install-recommends install \
+      python$PYTHON-dev python$PY-pytest python$PY-scipy \
+      libeigen3-dev cmake make g++ && break; done"
+  else
+    pip install numpy scipy pytest
+
+    wget -q -O eigen.tar.gz https://bitbucket.org/eigen/eigen/get/3.3.0.tar.gz
+    tar xzf eigen.tar.gz
+    export CMAKE_EXTRA_ARGS="${CMAKE_EXTRA_ARGS} -DCMAKE_INCLUDE_PATH=$PWD/eigen-eigen-26667be4f70b"
+  fi
+script:
+- $SCRIPT_RUN_PREFIX cmake ${CMAKE_EXTRA_ARGS}
+    -DPYBIND11_PYTHON_VERSION=$PYTHON
+    -DPYBIND11_CPP_STANDARD=$CPP
+    -DPYBIND11_WERROR=ON
+- $SCRIPT_RUN_PREFIX make pytest -j 2
+- $SCRIPT_RUN_PREFIX make test_install
+after_script:
+- if [ -n "$DOCKER" ]; then docker stop "$containerid"; docker rm "$containerid"; fi

ext/pybind11/CMakeLists.txt

@@ -0,0 +1,125 @@
+# CMakeLists.txt -- Build system for the pybind11 modules
+#
+# Copyright (c) 2015 Wenzel Jakob <wenzel@inf.ethz.ch>
+#
+# All rights reserved. Use of this source code is governed by a
+# BSD-style license that can be found in the LICENSE file.
+
+cmake_minimum_required(VERSION 2.8.12)
+
+project(pybind11)
+
+# Check if pybind11 is being used directly or via add_subdirectory
+set(PYBIND11_MASTER_PROJECT OFF)
+if (CMAKE_CURRENT_SOURCE_DIR STREQUAL CMAKE_SOURCE_DIR)
+  set(PYBIND11_MASTER_PROJECT ON)
+endif()
+
+option(PYBIND11_INSTALL "Install pybind11 header files?" ${PYBIND11_MASTER_PROJECT})
+option(PYBIND11_TEST    "Build pybind11 test suite?"     ${PYBIND11_MASTER_PROJECT})
+option(PYBIND11_WERROR  "Report all warnings as errors"  OFF)
+
+list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_LIST_DIR}/tools")
+
+include(pybind11Tools)
+
+# Cache variables so pybind11_add_module can be used in parent projects
+set(PYBIND11_INCLUDE_DIR "${CMAKE_CURRENT_LIST_DIR}/include" CACHE INTERNAL "")
+set(PYTHON_INCLUDE_DIRS ${PYTHON_INCLUDE_DIRS} CACHE INTERNAL "")
+set(PYTHON_LIBRARIES ${PYTHON_LIBRARIES} CACHE INTERNAL "")
+set(PYTHON_MODULE_PREFIX ${PYTHON_MODULE_PREFIX} CACHE INTERNAL "")
+set(PYTHON_MODULE_EXTENSION ${PYTHON_MODULE_EXTENSION} CACHE INTERNAL "")
+
+# Compile with compiler warnings turned on
+function(pybind11_enable_warnings target_name)
+  if(MSVC)
+    target_compile_options(${target_name} PRIVATE /W4)
+  else()
+    target_compile_options(${target_name} PRIVATE -Wall -Wextra -Wconversion)
+  endif()
+
+  if(PYBIND11_WERROR)
+    if(MSVC)
+      target_compile_options(${target_name} PRIVATE /WX)
+    else()
+      target_compile_options(${target_name} PRIVATE -Werror)
+    endif()
+  endif()
+endfunction()
+
+set(PYBIND11_HEADERS
+  include/pybind11/attr.h
+  include/pybind11/cast.h
+  include/pybind11/chrono.h
+  include/pybind11/common.h
+  include/pybind11/complex.h
+  include/pybind11/descr.h
+  include/pybind11/options.h
+  include/pybind11/eigen.h
+  include/pybind11/eval.h
+  include/pybind11/functional.h
+  include/pybind11/numpy.h
+  include/pybind11/operators.h
+  include/pybind11/pybind11.h
+  include/pybind11/pytypes.h
+  include/pybind11/stl.h
+  include/pybind11/stl_bind.h
+  include/pybind11/typeid.h
+)
+string(REPLACE "include/" "${CMAKE_CURRENT_SOURCE_DIR}/include/"
+       PYBIND11_HEADERS "${PYBIND11_HEADERS}")
+
+if (PYBIND11_TEST)
+  add_subdirectory(tests)
+endif()
+
+include(GNUInstallDirs)
+include(CMakePackageConfigHelpers)
+
+# extract project version from source
+file(STRINGS "${PYBIND11_INCLUDE_DIR}/pybind11/common.h" pybind11_version_defines
+     REGEX "#define PYBIND11_VERSION_(MAJOR|MINOR|PATCH) ")
+foreach(ver ${pybind11_version_defines})
+  if (ver MATCHES "#define PYBIND11_VERSION_(MAJOR|MINOR|PATCH) +([^ ]+)$")
+    set(PYBIND11_VERSION_${CMAKE_MATCH_1} "${CMAKE_MATCH_2}" CACHE INTERNAL "")
+  endif()
+endforeach()
+set(${PROJECT_NAME}_VERSION ${PYBIND11_VERSION_MAJOR}.${PYBIND11_VERSION_MINOR}.${PYBIND11_VERSION_PATCH})
+
+if(NOT (CMAKE_VERSION VERSION_LESS 3.0))  # CMake >= 3.0
+  # Build an interface library target:
+  add_library(pybind11 INTERFACE)
+  target_include_directories(pybind11 INTERFACE $<BUILD_INTERFACE:${PYBIND11_INCLUDE_DIR}>
+                                                $<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>)
+  if(APPLE)
+      target_link_libraries(pybind11 INTERFACE "-undefined dynamic_lookup")
+  endif()
+endif()
+
+if (PYBIND11_INSTALL)
+  install(FILES ${PYBIND11_HEADERS}
+          DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/pybind11)
+  # GNUInstallDirs "DATADIR" wrong here; CMake search path wants "share".
+  set(PYBIND11_CMAKECONFIG_INSTALL_DIR "share/cmake/${PROJECT_NAME}" CACHE STRING "install path for pybind11Config.cmake")
+
+  configure_package_config_file(tools/${PROJECT_NAME}Config.cmake.in
+                                "${CMAKE_CURRENT_BINARY_DIR}/${PROJECT_NAME}Config.cmake"
+                                INSTALL_DESTINATION ${PYBIND11_CMAKECONFIG_INSTALL_DIR})
+  write_basic_package_version_file(${CMAKE_CURRENT_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
+                                   VERSION ${${PROJECT_NAME}_VERSION}
+                                   COMPATIBILITY AnyNewerVersion)
+  install(FILES ${CMAKE_CURRENT_BINARY_DIR}/${PROJECT_NAME}Config.cmake
+                ${CMAKE_CURRENT_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
+                tools/FindPythonLibsNew.cmake
+                tools/pybind11Tools.cmake
+          DESTINATION ${PYBIND11_CMAKECONFIG_INSTALL_DIR})
+
+  if(NOT (CMAKE_VERSION VERSION_LESS 3.0))
+    install(TARGETS pybind11
+            EXPORT "${PROJECT_NAME}Targets")
+    install(EXPORT "${PROJECT_NAME}Targets"
+            NAMESPACE "${PROJECT_NAME}::"
+            DESTINATION ${PYBIND11_CMAKECONFIG_INSTALL_DIR})
+    message(STATUS "Exporting ${PROJECT_NAME}::pybind11 interface library target version ${${PROJECT_NAME}_VERSION}")
+  endif()
+endif()

ext/pybind11/CONTRIBUTING.md

@@ -0,0 +1,37 @@
+Thank you for your interest in this project! Please refer to the following
+sections on how to contribute code and bug reports.
+
+### Reporting bugs
+
+At the moment, this project is run in the spare time of a single person
+([Wenzel Jakob](http://rgl.epfl.ch/people/wjakob)) with very limited resources
+for issue tracker tickets. Thus, before submitting a question or bug report,
+please take a moment of your time and ensure that your issue isn't already
+discussed in the project documentation provided at
+[http://pybind11.readthedocs.org/en/latest](http://pybind11.readthedocs.org/en/latest).
+
+Assuming that you have identified a previously unknown problem or an important
+question, it's essential that you submit a self-contained and minimal piece of
+code that reproduces the problem. In other words: no external dependencies,
+isolate the function(s) that cause breakage, submit matched and complete C++
+and Python snippets that can be easily compiled and run on my end.
+
+## Pull requests
+Contributions are submitted, reviewed, and accepted using Github pull requests.
+Please refer to [this
+article](https://help.github.com/articles/using-pull-requests) for details and
+adhere to the following rules to make the process as smooth as possible:
+
+* Make a new branch for every feature you're working on.
+* Make small and clean pull requests that are easy to review but make sure they
+  do add value by themselves.
+* Add tests for any new functionality and run the test suite (``make pytest``)
+  to ensure that no existing features break.
+* This project has a strong focus on providing general solutions using a
+  minimal amount of code, thus small pull requests are greatly preferred.
+
+### 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.

ext/pybind11/LICENSE

@@ -0,0 +1,36 @@
+Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>, All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+   may be used to endorse or promote products derived from this software
+   without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+You are under no obligation whatsoever to provide any bug fixes, patches, or
+upgrades to the features, functionality or performance of the source code
+("Enhancements") to anyone; however, if you choose to make your Enhancements
+available either publicly, or directly to the author of this software, without
+imposing a separate written license agreement for such Enhancements, then you
+hereby grant the following license: a non-exclusive, royalty-free perpetual
+license to install, use, modify, prepare derivative works, incorporate into
+other computer software, distribute, and sublicense such enhancements or
+derivative works thereof, in binary and source code form.

ext/pybind11/MANIFEST.in

@@ -0,0 +1,2 @@
+include include/pybind11/*.h
+include LICENSE README.md CONTRIBUTING.md

ext/pybind11/README.md

@@ -0,0 +1,124 @@
+![pybind11 logo](https://github.com/pybind/pybind11/raw/master/docs/pybind11-logo.png)
+
+# pybind11 — Seamless operability between C++11 and Python
+
+[![Documentation Status](https://readthedocs.org/projects/pybind11/badge/?version=master)](http://pybind11.readthedocs.org/en/master/?badge=master)
+[![Documentation Status](https://readthedocs.org/projects/pybind11/badge/?version=stable)](http://pybind11.readthedocs.org/en/stable/?badge=stable)
+[![Build Status](https://travis-ci.org/pybind/pybind11.svg?branch=master)](https://travis-ci.org/pybind/pybind11)
+[![Build status](https://ci.appveyor.com/api/projects/status/riaj54pn4h08xy40?svg=true)](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 ~2.5K lines of code and depend on
+Python (2.7 or 3.x) 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
+- Iterators and ranges
+- 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:
+
+- pybind11 uses C++11 move constructors and move assignment operators whenever
+  possible to efficiently transfer custom data types.
+
+- It is possible to bind C++11 lambda functions with captured variables. The
+  lambda capture data is stored inside the resulting Python function object.
+
+- 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**.
+
+- When supported by the compiler, two new C++14 features (relaxed constexpr and
+  return value deduction) are used to precompute function signatures at compile
+  time, 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 (any non-ancient version with C++11 support)
+2. GCC (any non-ancient version with C++11 support)
+3. Microsoft Visual Studio 2015 or newer
+4. Intel C++ compiler 16 or newer (15 with 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](https://www.mitsuba-renderer.org/~wenzel/).
+Significant features and/or improvements to the code were contributed by
+Jonas Adler,
+Sylvain Corlay,
+Trent Houliston,
+Axel Huebl,
+@hulucc,
+Sergey Lyskov
+Johan Mabille,
+Tomasz Miąsko,
+Dean Moldovan,
+Ben Pritchard,
+Jason Rhinelander,
+Boris Schäling,
+Pim Schellart, and
+Ivan Smirnov.
+
+### 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.

ext/pybind11/docs/_static/theme_overrides.css

@@ -0,0 +1,11 @@
+.wy-table-responsive table td,
+.wy-table-responsive table th {
+    white-space: initial !important;
+}
+.rst-content table.docutils td {
+    vertical-align: top !important;
+}
+div[class^='highlight'] pre {
+    white-space: pre;
+    white-space: pre-wrap;
+}

ext/pybind11/docs/advanced/cast/chrono.rst

@@ -0,0 +1,81 @@
+Chrono
+======
+
+When including the additional header file :file:`pybind11/chrono.h` conversions
+from C++11 chrono datatypes to python datetime objects are automatically enabled.
+This header also enables conversions of python floats (often from sources such
+as `time.monotonic()`, `time.perf_counter()` and `time.process_time()`) into
+durations.
+
+An overview of clocks in C++11
+------------------------------
+
+A point of confusion when using these conversions is the differences between
+clocks provided in C++11. There are three clock types defined by the C++11
+standard and users can define their own if needed. Each of these clocks have
+different properties and when converting to and from python will give different
+results.
+
+The first clock defined by the standard is ``std::chrono::system_clock``. This
+clock measures the current date and time. However, this clock changes with to
+updates to the operating system time. For example, if your time is synchronised
+with a time server this clock will change. This makes this clock a poor choice
+for timing purposes but good for measuring the wall time.
+
+The second clock defined in the standard is ``std::chrono::steady_clock``.
+This clock ticks at a steady rate and is never adjusted. This makes it excellent
+for timing purposes, however the value in this clock does not correspond to the
+current date and time. Often this clock will be the amount of time your system
+has been on, although it does not have to be. This clock will never be the same
+clock as the system clock as the system clock can change but steady clocks
+cannot.
+
+The third clock defined in the standard is ``std::chrono::high_resolution_clock``.
+This clock is the clock that has the highest resolution out of the clocks in the
+system. It is normally a typedef to either the system clock or the steady clock
+but can be its own independent clock. This is important as when using these
+conversions as the types you get in python for this clock might be different
+depending on the system.
+If it is a typedef of the system clock, python will get datetime objects, but if
+it is a different clock they will be timedelta objects.
+
+Provided conversions
+--------------------
+
+.. rubric:: C++ to Python
+
+- ``std::chrono::system_clock::time_point`` → ``datetime.datetime``
+    System clock times are converted to python datetime instances. They are
+    in the local timezone, but do not have any timezone information attached
+    to them (they are naive datetime objects).
+
+- ``std::chrono::duration`` → ``datetime.timedelta``
+    Durations are converted to timedeltas, any precision in the duration
+    greater than microseconds is lost by rounding towards zero.
+
+- ``std::chrono::[other_clocks]::time_point`` → ``datetime.timedelta``
+    Any clock time that is not the system clock is converted to a time delta.
+    This timedelta measures the time from the clocks epoch to now.
+
+.. rubric:: Python to C++
+
+- ``datetime.datetime`` → ``std::chrono::system_clock::time_point``
+    Date/time objects are converted into system clock timepoints. Any
+    timezone information is ignored and the type is treated as a naive
+    object.
+
+- ``datetime.timedelta`` → ``std::chrono::duration``
+    Time delta are converted into durations with microsecond precision.
+
+- ``datetime.timedelta`` → ``std::chrono::[other_clocks]::time_point``
+    Time deltas that are converted into clock timepoints are treated as
+    the amount of time from the start of the clocks epoch.
+
+- ``float`` → ``std::chrono::duration``
+    Floats that are passed to C++ as durations be interpreted as a number of
+    seconds. These will be converted to the duration using ``duration_cast``
+    from the float.
+
+- ``float`` → ``std::chrono::[other_clocks]::time_point``
+    Floats that are passed to C++ as time points will be interpreted as the
+    number of seconds from the start of the clocks epoch.

ext/pybind11/docs/advanced/cast/custom.rst

@@ -0,0 +1,85 @@
+Custom type casters
+===================
+
+In very rare cases, applications may require custom type casters that cannot be
+expressed using the abstractions provided by pybind11, thus requiring raw
+Python C API calls. This is fairly advanced usage and should only be pursued by
+experts who are familiar with the intricacies of Python reference counting.
+
+The following snippets demonstrate how this works for a very simple ``inty``
+type that that should be convertible from Python types that provide a
+``__int__(self)`` method.
+
+.. code-block:: cpp
+
+    struct inty { long long_value; };
+
+    void print(inty s) {
+        std::cout << s.long_value << std::endl;
+    }
+
+The following Python snippet demonstrates the intended usage from the Python side:
+
+.. code-block:: python
+
+    class A:
+        def __int__(self):
+            return 123
+
+    from example import print
+    print(A())
+
+To register the necessary conversion routines, it is necessary to add
+a partial overload to the ``pybind11::detail::type_caster<T>`` template.
+Although this is an implementation detail, adding partial overloads to this
+type is explicitly allowed.
+
+.. code-block:: cpp
+
+    namespace pybind11 { namespace detail {
+        template <> struct type_caster<inty> {
+        public:
+            /**
+             * This macro establishes the name 'inty' in
+             * function signatures and declares a local variable
+             * 'value' of type inty
+             */
+            PYBIND11_TYPE_CASTER(inty, _("inty"));
+
+            /**
+             * Conversion part 1 (Python->C++): convert a PyObject into a inty
+             * instance or return false upon failure. The second argument
+             * indicates whether implicit conversions should be applied.
+             */
+            bool load(handle src, bool) {
+                /* Extract PyObject from handle */
+                PyObject *source = src.ptr();
+                /* Try converting into a Python integer value */
+                PyObject *tmp = PyNumber_Long(source);
+                if (!tmp)
+                    return false;
+                /* Now try to convert into a C++ int */
+                value.long_value = PyLong_AsLong(tmp);
+                Py_DECREF(tmp);
+                /* Ensure return code was OK (to avoid out-of-range errors etc) */
+                return !(value.long_value == -1 && !PyErr_Occurred());
+            }
+
+            /**
+             * Conversion part 2 (C++ -> Python): convert an inty instance into
+             * a Python object. The second and third arguments are used to
+             * indicate the return value policy and parent object (for
+             * ``return_value_policy::reference_internal``) and are generally
+             * ignored by implicit casters.
+             */
+            static handle cast(inty src, return_value_policy /* policy */, handle /* parent */) {
+                return PyLong_FromLong(src.long_value);
+            }
+        };
+    }} // namespace pybind11::detail
+
+.. warning::
+
+    When using custom type casters, it's important to declare them consistently
+    in every compilation unit of the Python extension module. Otherwise,
+    undefined behavior can ensue.

ext/pybind11/docs/advanced/cast/eigen.rst

@@ -0,0 +1,50 @@
+Eigen
+=====
+
+`Eigen <http://eigen.tuxfamily.org>`_ is C++ header-based library for dense and
+sparse linear algebra. Due to its popularity and widespread adoption, pybind11
+provides transparent conversion support between Eigen and Scientific Python linear
+algebra data types.
+
+Specifically, when including the optional header file :file:`pybind11/eigen.h`,
+pybind11 will automatically and transparently convert
+
+1. Static and dynamic Eigen dense vectors and matrices to instances of
+   ``numpy.ndarray`` (and vice versa).
+
+2. Returned matrix expressions such as blocks (including columns or rows) and
+   diagonals will be converted to ``numpy.ndarray`` of the expression
+   values.
+
+3. Returned matrix-like objects such as Eigen::DiagonalMatrix or
+   Eigen::SelfAdjointView will be converted to ``numpy.ndarray`` containing the
+   expressed value.
+
+4. Eigen sparse vectors and matrices to instances of
+   ``scipy.sparse.csr_matrix``/``scipy.sparse.csc_matrix`` (and vice versa).
+
+This makes it possible to bind most kinds of functions that rely on these types.
+One major caveat are functions that take Eigen matrices *by reference* and modify
+them somehow, in which case the information won't be propagated to the caller.
+
+.. code-block:: cpp
+
+    /* The Python bindings of these functions won't replicate
+       the intended effect of modifying the function arguments */
+    void scale_by_2(Eigen::Vector3f &v) {
+        v *= 2;
+    }
+    void scale_by_2(Eigen::Ref<Eigen::MatrixXd> &v) {
+        v *= 2;
+    }
+
+To see why this is, refer to the section on :ref:`opaque` (although that
+section specifically covers STL data types, the underlying issue is the same).
+The :ref:`numpy` sections discuss an efficient alternative for exposing the
+underlying native Eigen types as opaque objects in a way that still integrates
+with NumPy and SciPy.
+
+.. seealso::
+
+    The file :file:`tests/test_eigen.cpp` contains a complete example that
+    shows how to pass Eigen sparse and dense data types in more detail.

ext/pybind11/docs/advanced/cast/functional.rst

@@ -0,0 +1,113 @@
+Functional
+##########
+
+The following features must be enabled by including :file:`pybind11/functional.h`.
+
+
+Callbacks and passing anonymous functions
+=========================================
+
+The C++11 standard brought lambda functions and the generic polymorphic
+function wrapper ``std::function<>`` to the C++ programming language, which
+enable powerful new ways of working with functions. Lambda functions come in
+two flavors: stateless lambda function resemble classic function pointers that
+link to an anonymous piece of code, while stateful lambda functions
+additionally depend on captured variables that are stored in an anonymous
+*lambda closure object*.
+
+Here is a simple example of a C++ function that takes an arbitrary function
+(stateful or stateless) with signature ``int -> int`` as an argument and runs
+it with the value 10.
+
+.. code-block:: cpp
+
+    int func_arg(const std::function<int(int)> &f) {
+        return f(10);
+    }
+
+The example below is more involved: it takes a function of signature ``int -> int``
+and returns another function of the same kind. The return value is a stateful
+lambda function, which stores the value ``f`` in the capture object and adds 1 to
+its return value upon execution.
+
+.. code-block:: cpp
+
+    std::function<int(int)> func_ret(const std::function<int(int)> &f) {
+        return [f](int i) {
+            return f(i) + 1;
+        };
+    }
+
+This example demonstrates using python named parameters in C++ callbacks which
+requires using ``py::cpp_function`` as a wrapper. Usage is similar to defining
+methods of classes:
+
+.. code-block:: cpp
+
+    py::cpp_function func_cpp() {
+        return py::cpp_function([](int i) { return i+1; },
+           py::arg("number"));
+    }
+
+After including the extra header file :file:`pybind11/functional.h`, it is almost
+trivial to generate binding code for all of these functions.
+
+.. code-block:: cpp
+
+    #include <pybind11/functional.h>
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        m.def("func_arg", &func_arg);
+        m.def("func_ret", &func_ret);
+        m.def("func_cpp", &func_cpp);
+
+        return m.ptr();
+    }
+
+The following interactive session shows how to call them from Python.
+
+.. code-block:: pycon
+
+    $ python
+    >>> import example
+    >>> def square(i):
+    ...     return i * i
+    ...
+    >>> example.func_arg(square)
+    100L
+    >>> square_plus_1 = example.func_ret(square)
+    >>> square_plus_1(4)
+    17L
+    >>> plus_1 = func_cpp()
+    >>> plus_1(number=43)
+    44L
+
+.. warning::
+
+    Keep in mind that passing a function from C++ to Python (or vice versa)
+    will instantiate a piece of wrapper code that translates function
+    invocations between the two languages. Naturally, this translation
+    increases the computational cost of each function call somewhat. A
+    problematic situation can arise when a function is copied back and forth
+    between Python and C++ many times in a row, in which case the underlying
+    wrappers will accumulate correspondingly. The resulting long sequence of
+    C++ -> Python -> C++ -> ... roundtrips can significantly decrease
+    performance.
+
+    There is one exception: pybind11 detects case where a stateless function
+    (i.e. a function pointer or a lambda function without captured variables)
+    is passed as an argument to another C++ function exposed in Python. In this
+    case, there is no overhead. Pybind11 will extract the underlying C++
+    function pointer from the wrapped function to sidestep a potential C++ ->
+    Python -> C++ roundtrip. This is demonstrated in :file:`tests/test_callbacks.cpp`.
+
+.. note::
+
+    This functionality is very useful when generating bindings for callbacks in
+    C++ libraries (e.g. GUI libraries, asynchronous networking libraries, etc.).
+
+    The file :file:`tests/test_callbacks.cpp` contains a complete example
+    that demonstrates how to work with callbacks and anonymous functions in
+    more detail.

ext/pybind11/docs/advanced/cast/index.rst

@@ -0,0 +1,41 @@
+Type conversions
+################
+
+Apart from enabling cross-language function calls, a fundamental problem
+that a binding tool like pybind11 must address is to provide access to
+native Python types in C++ and vice versa. There are three fundamentally
+different ways to do this—which approach is preferable for a particular type
+depends on the situation at hand.
+
+1. Use a native C++ type everywhere. In this case, the type must be wrapped
+   using pybind11-generated bindings so that Python can interact with it.
+
+2. Use a native Python type everywhere. It will need to be wrapped so that
+   C++ functions can interact with it.
+
+3. Use a native C++ type on the C++ side and a native Python type on the
+   Python side. pybind11 refers to this as a *type conversion*.
+
+   Type conversions are the most "natural" option in the sense that native
+   (non-wrapped) types are used everywhere. The main downside is that a copy
+   of the data must be made on every Python ↔ C++ transition: this is
+   needed since the C++ and Python versions of the same type generally won't
+   have the same memory layout.
+
+   pybind11 can perform many kinds of conversions automatically. An overview
+   is provided in the table ":ref:`conversion_table`".
+
+The following subsections discuss the differences between these options in more
+detail. The main focus in this section is on type conversions, which represent
+the last case of the above list.
+
+.. toctree::
+   :maxdepth: 1
+
+   overview
+   stl
+   functional
+   chrono
+   eigen
+   custom
+

ext/pybind11/docs/advanced/cast/overview.rst

@@ -0,0 +1,146 @@
+Overview
+########
+
+.. rubric:: 1. Native type in C++, wrapper in Python
+
+Exposing a custom C++ type using :class:`py::class_` was covered in detail
+in the :doc:`/classes` section. There, the underlying data structure is
+always the original C++ class while the :class:`py::class_` wrapper provides
+a Python interface. Internally, when an object like this is sent from C++ to
+Python, pybind11 will just add the outer wrapper layer over the native C++
+object. Getting it back from Python is just a matter of peeling off the
+wrapper.
+
+.. rubric:: 2. Wrapper in C++, native type in Python
+
+This is the exact opposite situation. Now, we have a type which is native to
+Python, like a ``tuple`` or a ``list``. One way to get this data into C++ is
+with the :class:`py::object` family of wrappers. These are explained in more
+detail in the :doc:`/advanced/pycpp/object` section. We'll just give a quick
+example here:
+
+.. code-block:: cpp
+
+    void print_list(py::list my_list) {
+        for (auto item : my_list)
+            std::cout << item << " ";
+    }
+
+.. code-block:: pycon
+
+    >>> print_list([1, 2, 3])
+    1 2 3
+
+The Python ``list`` is not converted in any way -- it's just wrapped in a C++
+:class:`py::list` class. At its core it's still a Python object. Copying a
+:class:`py::list` will do the usual reference-counting like in Python.
+Returning the object to Python will just remove the thin wrapper.
+
+.. rubric:: 3. Converting between native C++ and Python types
+
+In the previous two cases we had a native type in one language and a wrapper in
+the other. Now, we have native types on both sides and we convert between them.
+
+.. code-block:: cpp
+
+    void print_vector(const std::vector<int> &v) {
+        for (auto item : v)
+            std::cout << item << "\n";
+    }
+
+.. code-block:: pycon
+
+    >>> print_vector([1, 2, 3])
+    1 2 3
+
+In this case, pybind11 will construct a new ``std::vector<int>`` and copy each
+element from the Python ``list``. The newly constructed object will be passed
+to ``print_vector``. The same thing happens in the other direction: a new
+``list`` is made to match the value returned from C++.
+
+Lots of these conversions are supported out of the box, as shown in the table
+below. They are very convenient, but keep in mind that these conversions are
+fundamentally based on copying data. This is perfectly fine for small immutable
+types but it may become quite expensive for large data structures. This can be
+avoided by overriding the automatic conversion with a custom wrapper (i.e. the
+above-mentioned approach 1). This requires some manual effort and more details
+are available in the :ref:`opaque` section.
+
+.. _conversion_table:
+
+List of all builtin conversions
+-------------------------------
+
+The following basic data types are supported out of the box (some may require
+an additional extension header to be included). To pass other data structures
+as arguments and return values, refer to the section on binding :ref:`classes`.
+
++------------------------------------+---------------------------+-------------------------------+
+|  Data type                         |  Description              | Header file                   |
++====================================+===========================+===============================+
+| ``int8_t``, ``uint8_t``            | 8-bit integers            | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``int16_t``, ``uint16_t``          | 16-bit integers           | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``int32_t``, ``uint32_t``          | 32-bit integers           | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``int64_t``, ``uint64_t``          | 64-bit integers           | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``ssize_t``, ``size_t``            | Platform-dependent size   | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``float``, ``double``              | Floating point types      | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``bool``                           | Two-state Boolean type    | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``char``                           | Character literal         | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``wchar_t``                        | Wide character literal    | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``const char *``                   | UTF-8 string literal      | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``const wchar_t *``                | Wide string literal       | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::string``                    | STL dynamic UTF-8 string  | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::wstring``                   | STL dynamic wide string   | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::pair<T1, T2>``              | Pair of two custom types  | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::tuple<...>``                | Arbitrary tuple of types  | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::reference_wrapper<...>``    | Reference type wrapper    | :file:`pybind11/pybind11.h`   |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::complex<T>``                | Complex numbers           | :file:`pybind11/complex.h`    |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::array<T, Size>``            | STL static array          | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::vector<T>``                 | STL dynamic array         | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::valarray<T>``               | STL value array           | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::list<T>``                   | STL linked list           | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::map<T1, T2>``               | STL ordered map           | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::unordered_map<T1, T2>``     | STL unordered map         | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::set<T>``                    | STL ordered set           | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::unordered_set<T>``          | STL unordered set         | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::optional<T>``               | STL optional type (C++17) | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::experimental::optional<T>`` | STL optional type (exp.)  | :file:`pybind11/stl.h`        |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::function<...>``             | STL polymorphic function  | :file:`pybind11/functional.h` |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::chrono::duration<...>``     | STL time duration         | :file:`pybind11/chrono.h`     |
++------------------------------------+---------------------------+-------------------------------+
+| ``std::chrono::time_point<...>``   | STL date/time             | :file:`pybind11/chrono.h`     |
++------------------------------------+---------------------------+-------------------------------+
+| ``Eigen::Matrix<...>``             | Eigen: dense matrix       | :file:`pybind11/eigen.h`      |
++------------------------------------+---------------------------+-------------------------------+
+| ``Eigen::Map<...>``                | Eigen: mapped memory      | :file:`pybind11/eigen.h`      |
++------------------------------------+---------------------------+-------------------------------+
+| ``Eigen::SparseMatrix<...>``       | Eigen: sparse matrix      | :file:`pybind11/eigen.h`      |
++------------------------------------+---------------------------+-------------------------------+

ext/pybind11/docs/advanced/cast/stl.rst

@@ -0,0 +1,154 @@
+STL containers
+##############
+
+Automatic conversion
+====================
+
+When including the additional header file :file:`pybind11/stl.h`, conversions
+between ``std::vector<>``, ``std::list<>``, ``std::set<>``, and ``std::map<>``
+and the Python ``list``, ``set`` and ``dict`` data structures are automatically
+enabled. The types ``std::pair<>`` and ``std::tuple<>`` are already supported
+out of the box with just the core :file:`pybind11/pybind11.h` header.
+
+The major downside of these implicit conversions is that containers must be
+converted (i.e. copied) on every Python->C++ and C++->Python transition, which
+can have implications on the program semantics and performance. Please read the
+next sections for more details and alternative approaches that avoid this.
+
+.. note::
+
+    Arbitrary nesting of any of these types is possible.
+
+.. seealso::
+
+    The file :file:`tests/test_python_types.cpp` contains a complete
+    example that demonstrates how to pass STL data types in more detail.
+
+.. _opaque:
+
+Making opaque types
+===================
+
+pybind11 heavily relies on a template matching mechanism to convert parameters
+and return values that are constructed from STL data types such as vectors,
+linked lists, hash tables, etc. This even works in a recursive manner, for
+instance to deal with lists of hash maps of pairs of elementary and custom
+types, etc.
+
+However, a fundamental limitation of this approach is that internal conversions
+between Python and C++ types involve a copy operation that prevents
+pass-by-reference semantics. What does this mean?
+
+Suppose we bind the following function
+
+.. code-block:: cpp
+
+    void append_1(std::vector<int> &v) {
+       v.push_back(1);
+    }
+
+and call it from Python, the following happens:
+
+.. code-block:: pycon
+
+   >>> v = [5, 6]
+   >>> append_1(v)
+   >>> print(v)
+   [5, 6]
+
+As you can see, when passing STL data structures by reference, modifications
+are not propagated back the Python side. A similar situation arises when
+exposing STL data structures using the ``def_readwrite`` or ``def_readonly``
+functions:
+
+.. code-block:: cpp
+
+    /* ... definition ... */
+
+    class MyClass {
+        std::vector<int> contents;
+    };
+
+    /* ... binding code ... */
+
+    py::class_<MyClass>(m, "MyClass")
+        .def(py::init<>)
+        .def_readwrite("contents", &MyClass::contents);
+
+In this case, properties can be read and written in their entirety. However, an
+``append`` operation involving such a list type has no effect:
+
+.. code-block:: pycon
+
+   >>> m = MyClass()
+   >>> m.contents = [5, 6]
+   >>> print(m.contents)
+   [5, 6]
+   >>> m.contents.append(7)
+   >>> print(m.contents)
+   [5, 6]
+
+Finally, the involved copy operations can be costly when dealing with very
+large lists. To deal with all of the above situations, pybind11 provides a
+macro named ``PYBIND11_MAKE_OPAQUE(T)`` that disables the template-based
+conversion machinery of types, thus rendering them *opaque*. The contents of
+opaque objects are never inspected or extracted, hence they *can* be passed by
+reference. For instance, to turn ``std::vector<int>`` into an opaque type, add
+the declaration
+
+.. code-block:: cpp
+
+    PYBIND11_MAKE_OPAQUE(std::vector<int>);
+
+before any binding code (e.g. invocations to ``class_::def()``, etc.). This
+macro must be specified at the top level (and outside of any namespaces), since
+it instantiates a partial template overload. If your binding code consists of
+multiple compilation units, it must be present in every file preceding any
+usage of ``std::vector<int>``. Opaque types must also have a corresponding
+``class_`` declaration to associate them with a name in Python, and to define a
+set of available operations, e.g.:
+
+.. code-block:: cpp
+
+    py::class_<std::vector<int>>(m, "IntVector")
+        .def(py::init<>())
+        .def("clear", &std::vector<int>::clear)
+        .def("pop_back", &std::vector<int>::pop_back)
+        .def("__len__", [](const std::vector<int> &v) { return v.size(); })
+        .def("__iter__", [](std::vector<int> &v) {
+           return py::make_iterator(v.begin(), v.end());
+        }, py::keep_alive<0, 1>()) /* Keep vector alive while iterator is used */
+        // ....
+
+The ability to expose STL containers as native Python objects is a fairly
+common request, hence pybind11 also provides an optional header file named
+:file:`pybind11/stl_bind.h` that does exactly this. The mapped containers try
+to match the behavior of their native Python counterparts as much as possible.
+
+The following example showcases usage of :file:`pybind11/stl_bind.h`:
+
+.. code-block:: cpp
+
+    // Don't forget this
+    #include <pybind11/stl_bind.h>
+
+    PYBIND11_MAKE_OPAQUE(std::vector<int>);
+    PYBIND11_MAKE_OPAQUE(std::map<std::string, double>);
+
+    // ...
+
+    // later in binding code:
+    py::bind_vector<std::vector<int>>(m, "VectorInt");
+    py::bind_map<std::map<std::string, double>>(m, "MapStringDouble");
+
+Please take a look at the :ref:`macro_notes` before using the
+``PYBIND11_MAKE_OPAQUE`` macro.
+
+.. seealso::
+
+    The file :file:`tests/test_opaque_types.cpp` contains a complete
+    example that demonstrates how to create and expose opaque types using
+    pybind11 in more detail.
+
+    The file :file:`tests/test_stl_binders.cpp` shows how to use the
+    convenience STL container wrappers.

ext/pybind11/docs/advanced/classes.rst

@@ -0,0 +1,634 @@
+Classes
+#######
+
+This section presents advanced binding code for classes and it is assumed
+that you are already familiar with the basics from :doc:`/classes`.
+
+.. _overriding_virtuals:
+
+Overriding virtual functions in Python
+======================================
+
+Suppose that a C++ class or interface has a virtual function that we'd like to
+to override from within Python (we'll focus on the class ``Animal``; ``Dog`` is
+given as a specific example of how one would do this with traditional C++
+code).
+
+.. code-block:: cpp
+
+    class Animal {
+    public:
+        virtual ~Animal() { }
+        virtual std::string go(int n_times) = 0;
+    };
+
+    class Dog : public Animal {
+    public:
+        std::string go(int n_times) override {
+            std::string result;
+            for (int i=0; i<n_times; ++i)
+                result += "woof! ";
+            return result;
+        }
+    };
+
+Let's also suppose that we are given a plain function which calls the
+function ``go()`` on an arbitrary ``Animal`` instance.
+
+.. code-block:: cpp
+
+    std::string call_go(Animal *animal) {
+        return animal->go(3);
+    }
+
+Normally, the binding code for these classes would look as follows:
+
+.. code-block:: cpp
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::class_<Animal> animal(m, "Animal");
+        animal
+            .def("go", &Animal::go);
+
+        py::class_<Dog>(m, "Dog", animal)
+            .def(py::init<>());
+
+        m.def("call_go", &call_go);
+
+        return m.ptr();
+    }
+
+However, these bindings are impossible to extend: ``Animal`` is not
+constructible, and we clearly require some kind of "trampoline" that
+redirects virtual calls back to Python.
+
+Defining a new type of ``Animal`` from within Python is possible but requires a
+helper class that is defined as follows:
+
+.. code-block:: cpp
+
+    class PyAnimal : public Animal {
+    public:
+        /* Inherit the constructors */
+        using Animal::Animal;
+
+        /* Trampoline (need one for each virtual function) */
+        std::string go(int n_times) override {
+            PYBIND11_OVERLOAD_PURE(
+                std::string, /* Return type */
+                Animal,      /* Parent class */
+                go,          /* Name of function */
+                n_times      /* Argument(s) */
+            );
+        }
+    };
+
+The macro :func:`PYBIND11_OVERLOAD_PURE` should be used for pure virtual
+functions, and :func:`PYBIND11_OVERLOAD` should be used for functions which have
+a default implementation.  There are also two alternate macros
+:func:`PYBIND11_OVERLOAD_PURE_NAME` and :func:`PYBIND11_OVERLOAD_NAME` which
+take a string-valued name argument between the *Parent class* and *Name of the
+function* slots. This is useful when the C++ and Python versions of the
+function have different names, e.g.  ``operator()`` vs ``__call__``.
+
+The binding code also needs a few minor adaptations (highlighted):
+
+.. code-block:: cpp
+    :emphasize-lines: 4,6,7
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::class_<Animal, PyAnimal /* <--- trampoline*/> animal(m, "Animal");
+        animal
+            .def(py::init<>())
+            .def("go", &Animal::go);
+
+        py::class_<Dog>(m, "Dog", animal)
+            .def(py::init<>());
+
+        m.def("call_go", &call_go);
+
+        return m.ptr();
+    }
+
+Importantly, pybind11 is made aware of the trampoline helper class by
+specifying it as an extra template argument to :class:`class_`.  (This can also
+be combined with other template arguments such as a custom holder type; the
+order of template types does not matter).  Following this, we are able to
+define a constructor as usual.
+
+Note, however, that the above is sufficient for allowing python classes to
+extend ``Animal``, but not ``Dog``: see ref:`virtual_and_inheritance` for the
+necessary steps required to providing proper overload support for inherited
+classes.
+
+The Python session below shows how to override ``Animal::go`` and invoke it via
+a virtual method call.
+
+.. code-block:: pycon
+
+    >>> from example import *
+    >>> d = Dog()
+    >>> call_go(d)
+    u'woof! woof! woof! '
+    >>> class Cat(Animal):
+    ...     def go(self, n_times):
+    ...             return "meow! " * n_times
+    ...
+    >>> c = Cat()
+    >>> call_go(c)
+    u'meow! meow! meow! '
+
+Please take a look at the :ref:`macro_notes` before using this feature.
+
+.. note::
+
+    When the overridden type returns a reference or pointer to a type that
+    pybind11 converts from Python (for example, numeric values, std::string,
+    and other built-in value-converting types), there are some limitations to
+    be aware of:
+
+    - because in these cases there is no C++ variable to reference (the value
+      is stored in the referenced Python variable), pybind11 provides one in
+      the PYBIND11_OVERLOAD macros (when needed) with static storage duration.
+      Note that this means that invoking the overloaded method on *any*
+      instance will change the referenced value stored in *all* instances of
+      that type.
+
+    - Attempts to modify a non-const reference will not have the desired
+      effect: it will change only the static cache variable, but this change
+      will not propagate to underlying Python instance, and the change will be
+      replaced the next time the overload is invoked.
+
+.. seealso::
+
+    The file :file:`tests/test_virtual_functions.cpp` contains a complete
+    example that demonstrates how to override virtual functions using pybind11
+    in more detail.
+
+.. _virtual_and_inheritance:
+
+Combining virtual functions and inheritance
+===========================================
+
+When combining virtual methods with inheritance, you need to be sure to provide
+an override for each method for which you want to allow overrides from derived
+python classes.  For example, suppose we extend the above ``Animal``/``Dog``
+example as follows:
+
+.. code-block:: cpp
+
+    class Animal {
+    public:
+        virtual std::string go(int n_times) = 0;
+        virtual std::string name() { return "unknown"; }
+    };
+    class Dog : public class Animal {
+    public:
+        std::string go(int n_times) override {
+            std::string result;
+            for (int i=0; i<n_times; ++i)
+                result += bark() + " ";
+            return result;
+        }
+        virtual std::string bark() { return "woof!"; }
+    };
+
+then the trampoline class for ``Animal`` must, as described in the previous
+section, override ``go()`` and ``name()``, but in order to allow python code to
+inherit properly from ``Dog``, we also need a trampoline class for ``Dog`` that
+overrides both the added ``bark()`` method *and* the ``go()`` and ``name()``
+methods inherited from ``Animal`` (even though ``Dog`` doesn't directly
+override the ``name()`` method):
+
+.. code-block:: cpp
+
+    class PyAnimal : public Animal {
+    public:
+        using Animal::Animal; // Inherit constructors
+        std::string go(int n_times) override { PYBIND11_OVERLOAD_PURE(std::string, Animal, go, n_times); }
+        std::string name() override { PYBIND11_OVERLOAD(std::string, Animal, name, ); }
+    };
+    class PyDog : public Dog {
+    public:
+        using Dog::Dog; // Inherit constructors
+        std::string go(int n_times) override { PYBIND11_OVERLOAD_PURE(std::string, Dog, go, n_times); }
+        std::string name() override { PYBIND11_OVERLOAD(std::string, Dog, name, ); }
+        std::string bark() override { PYBIND11_OVERLOAD(std::string, Dog, bark, ); }
+    };
+
+A registered class derived from a pybind11-registered class with virtual
+methods requires a similar trampoline class, *even if* it doesn't explicitly
+declare or override any virtual methods itself:
+
+.. code-block:: cpp
+
+    class Husky : public Dog {};
+    class PyHusky : public Husky {
+        using Dog::Dog; // Inherit constructors
+        std::string go(int n_times) override { PYBIND11_OVERLOAD_PURE(std::string, Husky, go, n_times); }
+        std::string name() override { PYBIND11_OVERLOAD(std::string, Husky, name, ); }
+        std::string bark() override { PYBIND11_OVERLOAD(std::string, Husky, bark, ); }
+    };
+
+There is, however, a technique that can be used to avoid this duplication
+(which can be especially helpful for a base class with several virtual
+methods).  The technique involves using template trampoline classes, as
+follows:
+
+.. code-block:: cpp
+
+    template <class AnimalBase = Animal> class PyAnimal : public AnimalBase {
+        using AnimalBase::AnimalBase; // Inherit constructors
+        std::string go(int n_times) override { PYBIND11_OVERLOAD_PURE(std::string, AnimalBase, go, n_times); }
+        std::string name() override { PYBIND11_OVERLOAD(std::string, AnimalBase, name, ); }
+    };
+    template <class DogBase = Dog> class PyDog : public PyAnimal<DogBase> {
+        using PyAnimal<DogBase>::PyAnimal; // Inherit constructors
+        // Override PyAnimal's pure virtual go() with a non-pure one:
+        std::string go(int n_times) override { PYBIND11_OVERLOAD(std::string, DogBase, go, n_times); }
+        std::string bark() override { PYBIND11_OVERLOAD(std::string, DogBase, bark, ); }
+    };
+
+This technique has the advantage of requiring just one trampoline method to be
+declared per virtual method and pure virtual method override.  It does,
+however, require the compiler to generate at least as many methods (and
+possibly more, if both pure virtual and overridden pure virtual methods are
+exposed, as above).
+
+The classes are then registered with pybind11 using:
+
+.. code-block:: cpp
+
+    py::class_<Animal, PyAnimal<>> animal(m, "Animal");
+    py::class_<Dog, PyDog<>> dog(m, "Dog");
+    py::class_<Husky, PyDog<Husky>> husky(m, "Husky");
+    // ... add animal, dog, husky definitions
+
+Note that ``Husky`` did not require a dedicated trampoline template class at
+all, since it neither declares any new virtual methods nor provides any pure
+virtual method implementations.
+
+With either the repeated-virtuals or templated trampoline methods in place, you
+can now create a python class that inherits from ``Dog``:
+
+.. code-block:: python
+
+    class ShihTzu(Dog):
+        def bark(self):
+            return "yip!"
+
+.. seealso::
+
+    See the file :file:`tests/test_virtual_functions.cpp` for complete examples
+    using both the duplication and templated trampoline approaches.
+
+Extended trampoline class functionality
+=======================================
+
+The trampoline classes described in the previous sections are, by default, only
+initialized when needed.  More specifically, they are initialized when a python
+class actually inherits from a registered type (instead of merely creating an
+instance of the registered type), or when a registered constructor is only
+valid for the trampoline class but not the registered class.  This is primarily
+for performance reasons: when the trampoline class is not needed for anything
+except virtual method dispatching, not initializing the trampoline class
+improves performance by avoiding needing to do a run-time check to see if the
+inheriting python instance has an overloaded method.
+
+Sometimes, however, it is useful to always initialize a trampoline class as an
+intermediate class that does more than just handle virtual method dispatching.
+For example, such a class might perform extra class initialization, extra
+destruction operations, and might define new members and methods to enable a
+more python-like interface to a class.
+
+In order to tell pybind11 that it should *always* initialize the trampoline
+class when creating new instances of a type, the class constructors should be
+declared using ``py::init_alias<Args, ...>()`` instead of the usual
+``py::init<Args, ...>()``.  This forces construction via the trampoline class,
+ensuring member initialization and (eventual) destruction.
+
+.. seealso::
+
+    See the file :file:`tests/test_alias_initialization.cpp` for complete examples
+    showing both normal and forced trampoline instantiation.
+
+.. _custom_constructors:
+
+Custom constructors
+===================
+
+The syntax for binding constructors was previously introduced, but it only
+works when a constructor with the given parameters actually exists on the C++
+side. To extend this to more general cases, let's take a look at what actually
+happens under the hood: the following statement
+
+.. code-block:: cpp
+
+    py::class_<Example>(m, "Example")
+        .def(py::init<int>());
+
+is short hand notation for
+
+.. code-block:: cpp
+
+    py::class_<Example>(m, "Example")
+        .def("__init__",
+            [](Example &instance, int arg) {
+                new (&instance) Example(arg);
+            }
+        );
+
+In other words, :func:`init` creates an anonymous function that invokes an
+in-place constructor. Memory allocation etc. is already take care of beforehand
+within pybind11.
+
+.. _classes_with_non_public_destructors:
+
+Non-public destructors
+======================
+
+If a class has a private or protected destructor (as might e.g. be the case in
+a singleton pattern), a compile error will occur when creating bindings via
+pybind11. The underlying issue is that the ``std::unique_ptr`` holder type that
+is responsible for managing the lifetime of instances will reference the
+destructor even if no deallocations ever take place. In order to expose classes
+with private or protected destructors, it is possible to override the holder
+type via a holder type argument to ``class_``. Pybind11 provides a helper class
+``py::nodelete`` that disables any destructor invocations. In this case, it is
+crucial that instances are deallocated on the C++ side to avoid memory leaks.
+
+.. code-block:: cpp
+
+    /* ... definition ... */
+
+    class MyClass {
+    private:
+        ~MyClass() { }
+    };
+
+    /* ... binding code ... */
+
+    py::class_<MyClass, std::unique_ptr<MyClass, py::nodelete>>(m, "MyClass")
+        .def(py::init<>)
+
+Implicit conversions
+====================
+
+Suppose that instances of two types ``A`` and ``B`` are used in a project, and
+that an ``A`` can easily be converted into an instance of type ``B`` (examples of this
+could be a fixed and an arbitrary precision number type).
+
+.. code-block:: cpp
+
+    py::class_<A>(m, "A")
+        /// ... members ...
+
+    py::class_<B>(m, "B")
+        .def(py::init<A>())
+        /// ... members ...
+
+    m.def("func",
+        [](const B &) { /* .... */ }
+    );
+
+To invoke the function ``func`` using a variable ``a`` containing an ``A``
+instance, we'd have to write ``func(B(a))`` in Python. On the other hand, C++
+will automatically apply an implicit type conversion, which makes it possible
+to directly write ``func(a)``.
+
+In this situation (i.e. where ``B`` has a constructor that converts from
+``A``), the following statement enables similar implicit conversions on the
+Python side:
+
+.. code-block:: cpp
+
+    py::implicitly_convertible<A, B>();
+
+.. note::
+
+    Implicit conversions from ``A`` to ``B`` only work when ``B`` is a custom
+    data type that is exposed to Python via pybind11.
+
+.. _static_properties:
+
+Static properties
+=================
+
+The section on :ref:`properties` discussed the creation of instance properties
+that are implemented in terms of C++ getters and setters.
+
+Static properties can also be created in a similar way to expose getters and
+setters of static class attributes. It is important to note that the implicit
+``self`` argument also exists in this case and is used to pass the Python
+``type`` subclass instance. This parameter will often not be needed by the C++
+side, and the following example illustrates how to instantiate a lambda getter
+function that ignores it:
+
+.. code-block:: cpp
+
+    py::class_<Foo>(m, "Foo")
+        .def_property_readonly_static("foo", [](py::object /* self */) { return Foo(); });
+
+Operator overloading
+====================
+
+Suppose that we're given the following ``Vector2`` class with a vector addition
+and scalar multiplication operation, all implemented using overloaded operators
+in C++.
+
+.. code-block:: cpp
+
+    class Vector2 {
+    public:
+        Vector2(float x, float y) : x(x), y(y) { }
+
+        Vector2 operator+(const Vector2 &v) const { return Vector2(x + v.x, y + v.y); }
+        Vector2 operator*(float value) const { return Vector2(x * value, y * value); }
+        Vector2& operator+=(const Vector2 &v) { x += v.x; y += v.y; return *this; }
+        Vector2& operator*=(float v) { x *= v; y *= v; return *this; }
+
+        friend Vector2 operator*(float f, const Vector2 &v) {
+            return Vector2(f * v.x, f * v.y);
+        }
+
+        std::string toString() const {
+            return "[" + std::to_string(x) + ", " + std::to_string(y) + "]";
+        }
+    private:
+        float x, y;
+    };
+
+The following snippet shows how the above operators can be conveniently exposed
+to Python.
+
+.. code-block:: cpp
+
+    #include <pybind11/operators.h>
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::class_<Vector2>(m, "Vector2")
+            .def(py::init<float, float>())
+            .def(py::self + py::self)
+            .def(py::self += py::self)
+            .def(py::self *= float())
+            .def(float() * py::self)
+            .def("__repr__", &Vector2::toString);
+
+        return m.ptr();
+    }
+
+Note that a line like
+
+.. code-block:: cpp
+
+            .def(py::self * float())
+
+is really just short hand notation for
+
+.. code-block:: cpp
+
+    .def("__mul__", [](const Vector2 &a, float b) {
+        return a * b;
+    }, py::is_operator())
+
+This can be useful for exposing additional operators that don't exist on the
+C++ side, or to perform other types of customization. The ``py::is_operator``
+flag marker is needed to inform pybind11 that this is an operator, which
+returns ``NotImplemented`` when invoked with incompatible arguments rather than
+throwing a type error.
+
+.. note::
+
+    To use the more convenient ``py::self`` notation, the additional
+    header file :file:`pybind11/operators.h` must be included.
+
+.. seealso::
+
+    The file :file:`tests/test_operator_overloading.cpp` contains a
+    complete example that demonstrates how to work with overloaded operators in
+    more detail.
+
+Pickling support
+================
+
+Python's ``pickle`` module provides a powerful facility to serialize and
+de-serialize a Python object graph into a binary data stream. To pickle and
+unpickle C++ classes using pybind11, two additional functions must be provided.
+Suppose the class in question has the following signature:
+
+.. code-block:: cpp
+
+    class Pickleable {
+    public:
+        Pickleable(const std::string &value) : m_value(value) { }
+        const std::string &value() const { return m_value; }
+
+        void setExtra(int extra) { m_extra = extra; }
+        int extra() const { return m_extra; }
+    private:
+        std::string m_value;
+        int m_extra = 0;
+    };
+
+The binding code including the requisite ``__setstate__`` and ``__getstate__`` methods [#f3]_
+looks as follows:
+
+.. code-block:: cpp
+
+    py::class_<Pickleable>(m, "Pickleable")
+        .def(py::init<std::string>())
+        .def("value", &Pickleable::value)
+        .def("extra", &Pickleable::extra)
+        .def("setExtra", &Pickleable::setExtra)
+        .def("__getstate__", [](const Pickleable &p) {
+            /* Return a tuple that fully encodes the state of the object */
+            return py::make_tuple(p.value(), p.extra());
+        })
+        .def("__setstate__", [](Pickleable &p, py::tuple t) {
+            if (t.size() != 2)
+                throw std::runtime_error("Invalid state!");
+
+            /* Invoke the in-place constructor. Note that this is needed even
+               when the object just has a trivial default constructor */
+            new (&p) Pickleable(t[0].cast<std::string>());
+
+            /* Assign any additional state */
+            p.setExtra(t[1].cast<int>());
+        });
+
+An instance can now be pickled as follows:
+
+.. code-block:: python
+
+    try:
+        import cPickle as pickle  # Use cPickle on Python 2.7
+    except ImportError:
+        import pickle
+
+    p = Pickleable("test_value")
+    p.setExtra(15)
+    data = pickle.dumps(p, 2)
+
+Note that only the cPickle module is supported on Python 2.7. The second
+argument to ``dumps`` is also crucial: it selects the pickle protocol version
+2, since the older version 1 is not supported. Newer versions are also fine—for
+instance, specify ``-1`` to always use the latest available version. Beware:
+failure to follow these instructions will cause important pybind11 memory
+allocation routines to be skipped during unpickling, which will likely lead to
+memory corruption and/or segmentation faults.
+
+.. seealso::
+
+    The file :file:`tests/test_pickling.cpp` contains a complete example
+    that demonstrates how to pickle and unpickle types using pybind11 in more
+    detail.
+
+.. [#f3] http://docs.python.org/3/library/pickle.html#pickling-class-instances
+
+Multiple Inheritance
+====================
+
+pybind11 can create bindings for types that derive from multiple base types
+(aka. *multiple inheritance*). To do so, specify all bases in the template
+arguments of the ``class_`` declaration:
+
+.. code-block:: cpp
+
+    py::class_<MyType, BaseType1, BaseType2, BaseType3>(m, "MyType")
+       ...
+
+The base types can be specified in arbitrary order, and they can even be
+interspersed with alias types and holder types (discussed earlier in this
+document)---pybind11 will automatically find out which is which. The only
+requirement is that the first template argument is the type to be declared.
+
+There are two caveats regarding the implementation of this feature:
+
+1. When only one base type is specified for a C++ type that actually has
+   multiple bases, pybind11 will assume that it does not participate in
+   multiple inheritance, which can lead to undefined behavior. In such cases,
+   add the tag ``multiple_inheritance``:
+
+    .. code-block:: cpp
+
+        py::class_<MyType, BaseType2>(m, "MyType", py::multiple_inheritance());
+
+   The tag is redundant and does not need to be specified when multiple base
+   types are listed.
+
+2. As was previously discussed in the section on :ref:`overriding_virtuals`, it
+   is easy to create Python types that derive from C++ classes. It is even
+   possible to make use of multiple inheritance to declare a Python class which
+   has e.g. a C++ and a Python class as bases. However, any attempt to create a
+   type that has *two or more* C++ classes in its hierarchy of base types will
+   fail with a fatal error message: ``TypeError: multiple bases have instance
+   lay-out conflict``. Core Python types that are implemented in C (e.g.
+   ``dict``, ``list``, ``Exception``, etc.) also fall under this combination
+   and cannot be combined with C++ types bound using pybind11 via multiple
+   inheritance.

ext/pybind11/docs/advanced/exceptions.rst

@@ -0,0 +1,142 @@
+Exceptions
+##########
+
+Built-in exception translation
+==============================
+
+When C++ code invoked from Python throws an ``std::exception``, it is
+automatically converted into a Python ``Exception``. pybind11 defines multiple
+special exception classes that will map to different types of Python
+exceptions:
+
+.. tabularcolumns:: |p{0.5\textwidth}|p{0.45\textwidth}|
+
++--------------------------------------+------------------------------+
+|  C++ exception type                  |  Python exception type       |
++======================================+==============================+
+| :class:`std::exception`              | ``RuntimeError``             |
++--------------------------------------+------------------------------+
+| :class:`std::bad_alloc`              | ``MemoryError``              |
++--------------------------------------+------------------------------+
+| :class:`std::domain_error`           | ``ValueError``               |
++--------------------------------------+------------------------------+
+| :class:`std::invalid_argument`       | ``ValueError``               |
++--------------------------------------+------------------------------+
+| :class:`std::length_error`           | ``ValueError``               |
++--------------------------------------+------------------------------+
+| :class:`std::out_of_range`           | ``ValueError``               |
++--------------------------------------+------------------------------+
+| :class:`std::range_error`            | ``ValueError``               |
++--------------------------------------+------------------------------+
+| :class:`pybind11::stop_iteration`    | ``StopIteration`` (used to   |
+|                                      | implement custom iterators)  |
++--------------------------------------+------------------------------+
+| :class:`pybind11::index_error`       | ``IndexError`` (used to      |
+|                                      | indicate out of bounds       |
+|                                      | accesses in ``__getitem__``, |
+|                                      | ``__setitem__``, etc.)       |
++--------------------------------------+------------------------------+
+| :class:`pybind11::value_error`       | ``ValueError`` (used to      |
+|                                      | indicate wrong value passed  |
+|                                      | in ``container.remove(...)`` |
++--------------------------------------+------------------------------+
+| :class:`pybind11::key_error`         | ``KeyError`` (used to        |
+|                                      | indicate out of bounds       |
+|                                      | accesses in ``__getitem__``, |
+|                                      | ``__setitem__`` in dict-like |
+|                                      | objects, etc.)               |
++--------------------------------------+------------------------------+
+| :class:`pybind11::error_already_set` | Indicates that the Python    |
+|                                      | exception flag has already   |
+|                                      | been initialized             |
++--------------------------------------+------------------------------+
+
+When a Python function invoked from C++ throws an exception, it is converted
+into a C++ exception of type :class:`error_already_set` whose string payload
+contains a textual summary.
+
+There is also a special exception :class:`cast_error` that is thrown by
+:func:`handle::call` when the input arguments cannot be converted to Python
+objects.
+
+Registering custom translators
+==============================
+
+If the default exception conversion policy described above is insufficient,
+pybind11 also provides support for registering custom exception translators.
+To register a simple exception conversion that translates a C++ exception into
+a new Python exception using the C++ exception's ``what()`` method, a helper
+function is available:
+
+.. code-block:: cpp
+
+    py::register_exception<CppExp>(module, "PyExp");
+
+This call creates a Python exception class with the name ``PyExp`` in the given
+module and automatically converts any encountered exceptions of type ``CppExp``
+into Python exceptions of type ``PyExp``.
+
+When more advanced exception translation is needed, the function
+``py::register_exception_translator(translator)`` can be used to register
+functions that can translate arbitrary exception types (and which may include
+additional logic to do so).  The function takes a stateless callable (e.g.  a
+function pointer or a lambda function without captured variables) with the call
+signature ``void(std::exception_ptr)``.
+
+When a C++ exception is thrown, the registered exception translators are tried
+in reverse order of registration (i.e. the last registered translator gets the
+first shot at handling the exception).
+
+Inside the translator, ``std::rethrow_exception`` should be used within
+a try block to re-throw the exception.  One or more catch clauses to catch
+the appropriate exceptions should then be used with each clause using
+``PyErr_SetString`` to set a Python exception or ``ex(string)`` to set
+the python exception to a custom exception type (see below).
+
+To declare a custom Python exception type, declare a ``py::exception`` variable
+and use this in the associated exception translator (note: it is often useful
+to make this a static declaration when using it inside a lambda expression
+without requiring capturing).
+
+
+The following example demonstrates this for a hypothetical exception classes
+``MyCustomException`` and ``OtherException``: the first is translated to a
+custom python exception ``MyCustomError``, while the second is translated to a
+standard python RuntimeError:
+
+.. code-block:: cpp
+
+    static py::exception<MyCustomException> exc(m, "MyCustomError");
+    py::register_exception_translator([](std::exception_ptr p) {
+        try {
+            if (p) std::rethrow_exception(p);
+        } catch (const MyCustomException &e) {
+            exc(e.what());
+        } catch (const OtherException &e) {
+            PyErr_SetString(PyExc_RuntimeError, e.what());
+        }
+    });
+
+Multiple exceptions can be handled by a single translator, as shown in the
+example above. If the exception is not caught by the current translator, the
+previously registered one gets a chance.
+
+If none of the registered exception translators is able to handle the
+exception, it is handled by the default converter as described in the previous
+section.
+
+.. seealso::
+
+    The file :file:`tests/test_exceptions.cpp` contains examples
+    of various custom exception translators and custom exception types.
+
+.. note::
+
+    You must call either ``PyErr_SetString`` or a custom exception's call
+    operator (``exc(string)``) for every exception caught in a custom exception
+    translator.  Failure to do so will cause Python to crash with ``SystemError:
+    error return without exception set``.
+
+    Exceptions that you do not plan to handle should simply not be caught, or
+    may be explicity (re-)thrown to delegate it to the other,
+    previously-declared existing exception translators.

ext/pybind11/docs/advanced/functions.rst

@@ -0,0 +1,311 @@
+Functions
+#########
+
+Before proceeding with this section, make sure that you are already familiar
+with the basics of binding functions and classes, as explained in :doc:`/basics`
+and :doc:`/classes`. The following guide is applicable to both free and member
+functions, i.e. *methods* in Python.
+
+Return value policies
+=====================
+
+Python and C++ use fundamentally different ways of managing the memory and
+lifetime of objects managed by them. This can lead to issues when creating
+bindings for functions that return a non-trivial type. Just by looking at the
+type information, it is not clear whether Python should take charge of the
+returned value and eventually free its resources, or if this is handled on the
+C++ side. For this reason, pybind11 provides a several `return value policy`
+annotations that can be passed to the :func:`module::def` and
+:func:`class_::def` functions. The default policy is
+:enum:`return_value_policy::automatic`.
+
+Return value policies are tricky, and it's very important to get them right.
+Just to illustrate what can go wrong, consider the following simple example:
+
+.. code-block:: cpp
+
+    /* Function declaration */ 
+    Data *get_data() { return _data; /* (pointer to a static data structure) */ }
+    ...
+
+    /* Binding code */ 
+    m.def("get_data", &get_data); // <-- KABOOM, will cause crash when called from Python
+
+What's going on here? When ``get_data()`` is called from Python, the return
+value (a native C++ type) must be wrapped to turn it into a usable Python type.
+In this case, the default return value policy (:enum:`return_value_policy::automatic`)
+causes pybind11 to assume ownership of the static ``_data`` instance.
+
+When Python's garbage collector eventually deletes the Python
+wrapper, pybind11 will also attempt to delete the C++ instance (via ``operator
+delete()``) due to the implied ownership. At this point, the entire application
+will come crashing down, though errors could also be more subtle and involve
+silent data corruption.
+
+In the above example, the policy :enum:`return_value_policy::reference` should have
+been specified so that the global data instance is only *referenced* without any
+implied transfer of ownership, i.e.: 
+
+.. code-block:: cpp
+
+    m.def("get_data", &get_data, return_value_policy::reference);
+
+On the other hand, this is not the right policy for many other situations,
+where ignoring ownership could lead to resource leaks.
+As a developer using pybind11, it's important to be familiar with the different
+return value policies, including which situation calls for which one of them.
+The following table provides an overview of available policies:
+
+.. tabularcolumns:: |p{0.5\textwidth}|p{0.45\textwidth}|
+
++--------------------------------------------------+----------------------------------------------------------------------------+
+| Return value policy                              | Description                                                                |
++==================================================+============================================================================+
+| :enum:`return_value_policy::take_ownership`      | Reference an existing object (i.e. do not create a new copy) and take      |
+|                                                  | ownership. Python will call the destructor and delete operator when the    |
+|                                                  | object's reference count reaches zero. Undefined behavior ensues when the  |
+|                                                  | C++ side does the same, or when the data was not dynamically allocated.    |
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::copy`                | Create a new copy of the returned object, which will be owned by Python.   |
+|                                                  | This policy is comparably safe because the lifetimes of the two instances  |
+|                                                  | are decoupled.                                                             |
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::move`                | Use ``std::move`` to move the return value contents into a new instance    |
+|                                                  | that will be owned by Python. This policy is comparably safe because the   |
+|                                                  | lifetimes of the two instances (move source and destination) are decoupled.|
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::reference`           | Reference an existing object, but do not take ownership. The C++ side is   |
+|                                                  | responsible for managing the object's lifetime and deallocating it when    |
+|                                                  | it is no longer used. Warning: undefined behavior will ensue when the C++  |
+|                                                  | side deletes an object that is still referenced and used by Python.        |
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::reference_internal`  | Indicates that the lifetime of the return value is tied to the lifetime    |
+|                                                  | of a parent object, namely the implicit ``this``, or ``self`` argument of  |
+|                                                  | the called method or property. Internally, this policy works just like     |
+|                                                  | :enum:`return_value_policy::reference` but additionally applies a          |
+|                                                  | ``keep_alive<0, 1>`` *call policy* (described in the next section) that    |
+|                                                  | prevents the parent object from being garbage collected as long as the     |
+|                                                  | return value is referenced by Python. This is the default policy for       |
+|                                                  | property getters created via ``def_property``, ``def_readwrite``, etc.     |
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::automatic`           | This is the default return value policy, which falls back to the policy    |
+|                                                  | :enum:`return_value_policy::take_ownership` when the return value is a     |
+|                                                  | pointer. Otherwise, it uses :enum:`return_value::move` or                  |
+|                                                  | :enum:`return_value::copy` for rvalue and lvalue references, respectively. |
+|                                                  | See above for a description of what all of these different policies do.    |
++--------------------------------------------------+----------------------------------------------------------------------------+
+| :enum:`return_value_policy::automatic_reference` | As above, but use policy :enum:`return_value_policy::reference` when the   |
+|                                                  | return value is a pointer. This is the default conversion policy for       |
+|                                                  | function arguments when calling Python functions manually from C++ code    |
+|                                                  | (i.e. via handle::operator()). You probably won't need to use this.        |
++--------------------------------------------------+----------------------------------------------------------------------------+
+
+Return value policies can also be applied to properties:
+
+.. code-block:: cpp
+
+    class_<MyClass>(m, "MyClass")
+        .def_property("data", &MyClass::getData, &MyClass::setData,
+                      py::return_value_policy::copy);
+
+Technically, the code above applies the policy to both the getter and the
+setter function, however, the setter doesn't really care about *return*
+value policies which makes this a convenient terse syntax. Alternatively,
+targeted arguments can be passed through the :class:`cpp_function` constructor:
+
+.. code-block:: cpp
+
+    class_<MyClass>(m, "MyClass")
+        .def_property("data"
+            py::cpp_function(&MyClass::getData, py::return_value_policy::copy),
+            py::cpp_function(&MyClass::setData)
+        );
+
+.. warning::
+
+    Code with invalid return value policies might access unitialized memory or
+    free data structures multiple times, which can lead to hard-to-debug
+    non-determinism and segmentation faults, hence it is worth spending the
+    time to understand all the different options in the table above.
+
+.. note::
+
+    One important aspect of the above policies is that they only apply to
+    instances which pybind11 has *not* seen before, in which case the policy
+    clarifies essential questions about the return value's lifetime and
+    ownership.  When pybind11 knows the instance already (as identified by its
+    type and address in memory), it will return the existing Python object
+    wrapper rather than creating a new copy.
+
+.. note::
+
+    The next section on :ref:`call_policies` discusses *call policies* that can be
+    specified *in addition* to a return value policy from the list above. Call
+    policies indicate reference relationships that can involve both return values
+    and parameters of functions.
+
+.. note::
+
+   As an alternative to elaborate call policies and lifetime management logic,
+   consider using smart pointers (see the section on :ref:`smart_pointers` for
+   details). Smart pointers can tell whether an object is still referenced from
+   C++ or Python, which generally eliminates the kinds of inconsistencies that
+   can lead to crashes or undefined behavior. For functions returning smart
+   pointers, it is not necessary to specify a return value policy.
+
+.. _call_policies:
+
+Additional call policies
+========================
+
+In addition to the above return value policies, further `call policies` can be
+specified to indicate dependencies between parameters. There is currently just
+one policy named ``keep_alive<Nurse, Patient>``, which indicates that the
+argument with index ``Patient`` should be kept alive at least until the
+argument with index ``Nurse`` is freed by the garbage collector. Argument
+indices start at one, while zero refers to the return value. For methods, index
+``1`` refers to the implicit ``this`` pointer, while regular arguments begin at
+index ``2``. Arbitrarily many call policies can be specified. When a ``Nurse``
+with value ``None`` is detected at runtime, the call policy does nothing.
+
+This feature internally relies on the ability to create a *weak reference* to
+the nurse object, which is permitted by all classes exposed via pybind11. When
+the nurse object does not support weak references, an exception will be thrown.
+
+Consider the following example: here, the binding code for a list append
+operation ties the lifetime of the newly added element to the underlying
+container:
+
+.. code-block:: cpp
+
+    py::class_<List>(m, "List")
+        .def("append", &List::append, py::keep_alive<1, 2>());
+
+.. note::
+
+    ``keep_alive`` is analogous to the ``with_custodian_and_ward`` (if Nurse,
+    Patient != 0) and ``with_custodian_and_ward_postcall`` (if Nurse/Patient ==
+    0) policies from Boost.Python.
+
+.. seealso::
+
+    The file :file:`tests/test_keep_alive.cpp` contains a complete example
+    that demonstrates using :class:`keep_alive` in more detail.
+
+.. _python_objects_as_args:
+
+Python objects as arguments
+===========================
+
+pybind11 exposes all major Python types using thin C++ wrapper classes. These
+wrapper classes can also be used as parameters of functions in bindings, which
+makes it possible to directly work with native Python types on the C++ side.
+For instance, the following statement iterates over a Python ``dict``:
+
+.. code-block:: cpp
+
+    void print_dict(py::dict dict) {
+        /* Easily interact with Python types */
+        for (auto item : dict)
+            std::cout << "key=" << item.first << ", "
+                      << "value=" << item.second << std::endl;
+    }
+
+It can be exported:
+
+.. code-block:: cpp
+
+    m.def("print_dict", &print_dict);
+
+And used in Python as usual:
+
+.. code-block:: pycon
+
+    >>> print_dict({'foo': 123, 'bar': 'hello'})
+    key=foo, value=123
+    key=bar, value=hello
+
+For more information on using Python objects in C++, see :doc:`/advanced/pycpp/index`.
+
+Accepting \*args and \*\*kwargs
+===============================
+
+Python provides a useful mechanism to define functions that accept arbitrary
+numbers of arguments and keyword arguments:
+
+.. code-block:: python
+
+   def generic(*args, **kwargs):
+       ...  # do something with args and kwargs
+
+Such functions can also be created using pybind11:
+
+.. code-block:: cpp
+
+   void generic(py::args args, py::kwargs kwargs) {
+       /// .. do something with args
+       if (kwargs)
+           /// .. do something with kwargs
+   }
+
+   /// Binding code
+   m.def("generic", &generic);
+
+The class ``py::args`` derives from ``py::tuple`` and ``py::kwargs`` derives
+from ``py::dict``. Note that the ``kwargs`` argument is invalid if no keyword
+arguments were actually provided. Please refer to the other examples for
+details on how to iterate over these, and on how to cast their entries into
+C++ objects. A demonstration is also available in
+``tests/test_kwargs_and_defaults.cpp``.
+
+.. warning::
+
+   Unlike Python, pybind11 does not allow combining normal parameters with the
+   ``args`` / ``kwargs`` special parameters.
+
+Default arguments revisited
+===========================
+
+The section on :ref:`default_args` previously discussed basic usage of default
+arguments using pybind11. One noteworthy aspect of their implementation is that
+default arguments are converted to Python objects right at declaration time.
+Consider the following example:
+
+.. code-block:: cpp
+
+    py::class_<MyClass>("MyClass")
+        .def("myFunction", py::arg("arg") = SomeType(123));
+
+In this case, pybind11 must already be set up to deal with values of the type
+``SomeType`` (via a prior instantiation of ``py::class_<SomeType>``), or an
+exception will be thrown.
+
+Another aspect worth highlighting is that the "preview" of the default argument
+in the function signature is generated using the object's ``__repr__`` method.
+If not available, the signature may not be very helpful, e.g.:
+
+.. code-block:: pycon
+
+    FUNCTIONS
+    ...
+    |  myFunction(...)
+    |      Signature : (MyClass, arg : SomeType = <SomeType object at 0x101b7b080>) -> NoneType
+    ...
+
+The first way of addressing this is by defining ``SomeType.__repr__``.
+Alternatively, it is possible to specify the human-readable preview of the
+default argument manually using the ``arg_v`` notation:
+
+.. code-block:: cpp
+
+    py::class_<MyClass>("MyClass")
+        .def("myFunction", py::arg_v("arg", SomeType(123), "SomeType(123)"));
+
+Sometimes it may be necessary to pass a null pointer value as a default
+argument. In this case, remember to cast it to the underlying type in question,
+like so:
+
+.. code-block:: cpp
+
+    py::class_<MyClass>("MyClass")
+        .def("myFunction", py::arg("arg") = (SomeType *) nullptr);

ext/pybind11/docs/advanced/misc.rst

@@ -0,0 +1,229 @@
+Miscellaneous
+#############
+
+.. _macro_notes:
+
+General notes regarding convenience macros
+==========================================
+
+pybind11 provides a few convenience macros such as
+:func:`PYBIND11_MAKE_OPAQUE` and :func:`PYBIND11_DECLARE_HOLDER_TYPE`, and
+``PYBIND11_OVERLOAD_*``. Since these are "just" macros that are evaluated
+in the preprocessor (which has no concept of types), they *will* get confused
+by commas in a template argument such as ``PYBIND11_OVERLOAD(MyReturnValue<T1,
+T2>, myFunc)``. In this case, the preprocessor assumes that the comma indicates
+the beginning of the next parameter. Use a ``typedef`` to bind the template to
+another name and use it in the macro to avoid this problem.
+
+
+Global Interpreter Lock (GIL)
+=============================
+
+The classes :class:`gil_scoped_release` and :class:`gil_scoped_acquire` can be
+used to acquire and release the global interpreter lock in the body of a C++
+function call. In this way, long-running C++ code can be parallelized using
+multiple Python threads. Taking :ref:`overriding_virtuals` as an example, this
+could be realized as follows (important changes highlighted):
+
+.. code-block:: cpp
+    :emphasize-lines: 8,9,33,34
+
+    class PyAnimal : public Animal {
+    public:
+        /* Inherit the constructors */
+        using Animal::Animal;
+
+        /* Trampoline (need one for each virtual function) */
+        std::string go(int n_times) {
+            /* Acquire GIL before calling Python code */
+            py::gil_scoped_acquire acquire;
+
+            PYBIND11_OVERLOAD_PURE(
+                std::string, /* Return type */
+                Animal,      /* Parent class */
+                go,          /* Name of function */
+                n_times      /* Argument(s) */
+            );
+        }
+    };
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::class_<Animal, PyAnimal> animal(m, "Animal");
+        animal
+            .def(py::init<>())
+            .def("go", &Animal::go);
+
+        py::class_<Dog>(m, "Dog", animal)
+            .def(py::init<>());
+
+        m.def("call_go", [](Animal *animal) -> std::string {
+            /* Release GIL before calling into (potentially long-running) C++ code */
+            py::gil_scoped_release release;
+            return call_go(animal);
+        });
+
+        return m.ptr();
+    }
+
+
+Binding sequence data types, iterators, the slicing protocol, etc.
+==================================================================
+
+Please refer to the supplemental example for details.
+
+.. seealso::
+
+    The file :file:`tests/test_sequences_and_iterators.cpp` contains a
+    complete example that shows how to bind a sequence data type, including
+    length queries (``__len__``), iterators (``__iter__``), the slicing
+    protocol and other kinds of useful operations.
+
+
+Partitioning code over multiple extension modules
+=================================================
+
+It's straightforward to split binding code over multiple extension modules,
+while referencing types that are declared elsewhere. Everything "just" works
+without any special precautions. One exception to this rule occurs when
+extending a type declared in another extension module. Recall the basic example
+from Section :ref:`inheritance`.
+
+.. code-block:: cpp
+
+    py::class_<Pet> pet(m, "Pet");
+    pet.def(py::init<const std::string &>())
+       .def_readwrite("name", &Pet::name);
+
+    py::class_<Dog>(m, "Dog", pet /* <- specify parent */)
+        .def(py::init<const std::string &>())
+        .def("bark", &Dog::bark);
+
+Suppose now that ``Pet`` bindings are defined in a module named ``basic``,
+whereas the ``Dog`` bindings are defined somewhere else. The challenge is of
+course that the variable ``pet`` is not available anymore though it is needed
+to indicate the inheritance relationship to the constructor of ``class_<Dog>``.
+However, it can be acquired as follows:
+
+.. code-block:: cpp
+
+    py::object pet = (py::object) py::module::import("basic").attr("Pet");
+
+    py::class_<Dog>(m, "Dog", pet)
+        .def(py::init<const std::string &>())
+        .def("bark", &Dog::bark);
+
+Alternatively, you can specify the base class as a template parameter option to
+``class_``, which performs an automated lookup of the corresponding Python
+type. Like the above code, however, this also requires invoking the ``import``
+function once to ensure that the pybind11 binding code of the module ``basic``
+has been executed:
+
+.. code-block:: cpp
+
+    py::module::import("basic");
+
+    py::class_<Dog, Pet>(m, "Dog")
+        .def(py::init<const std::string &>())
+        .def("bark", &Dog::bark);
+
+Naturally, both methods will fail when there are cyclic dependencies.
+
+Note that compiling code which has its default symbol visibility set to
+*hidden* (e.g. via the command line flag ``-fvisibility=hidden`` on GCC/Clang) can interfere with the
+ability to access types defined in another extension module. Workarounds
+include changing the global symbol visibility (not recommended, because it will
+lead unnecessarily large binaries) or manually exporting types that are
+accessed by multiple extension modules:
+
+.. code-block:: cpp
+
+    #ifdef _WIN32
+    #  define EXPORT_TYPE __declspec(dllexport)
+    #else
+    #  define EXPORT_TYPE __attribute__ ((visibility("default")))
+    #endif
+
+    class EXPORT_TYPE Dog : public Animal {
+        ...
+    };
+
+Note also that it is possible (although would rarely be required) to share arbitrary
+C++ objects between extension modules at runtime. Internal library data is shared
+between modules using capsule machinery [#f6]_ which can be also utilized for
+storing, modifying and accessing user-defined data. Note that an extension module
+will "see" other extensions' data if and only if they were built with the same
+pybind11 version. Consider the following example:
+
+.. code-block:: cpp
+
+    auto data = (MyData *) py::get_shared_data("mydata");
+    if (!data)
+        data = (MyData *) py::set_shared_data("mydata", new MyData(42));
+
+If the above snippet was used in several separately compiled extension modules,
+the first one to be imported would create a ``MyData`` instance and associate
+a ``"mydata"`` key with a pointer to it. Extensions that are imported later
+would be then able to access the data behind the same pointer.
+
+.. [#f6] https://docs.python.org/3/extending/extending.html#using-capsules
+
+
+Generating documentation using Sphinx
+=====================================
+
+Sphinx [#f4]_ has the ability to inspect the signatures and documentation
+strings in pybind11-based extension modules to automatically generate beautiful
+documentation in a variety formats. The python_example repository [#f5]_ contains a
+simple example repository which uses this approach.
+
+There are two potential gotchas when using this approach: first, make sure that
+the resulting strings do not contain any :kbd:`TAB` characters, which break the
+docstring parsing routines. You may want to use C++11 raw string literals,
+which are convenient for multi-line comments. Conveniently, any excess
+indentation will be automatically be removed by Sphinx. However, for this to
+work, it is important that all lines are indented consistently, i.e.:
+
+.. code-block:: cpp
+
+    // ok
+    m.def("foo", &foo, R"mydelimiter(
+        The foo function
+
+        Parameters
+        ----------
+    )mydelimiter");
+
+    // *not ok*
+    m.def("foo", &foo, R"mydelimiter(The foo function
+
+        Parameters
+        ----------
+    )mydelimiter");
+
+By default, pybind11 automatically generates and prepends a signature to the docstring of a function 
+registered with ``module::def()`` and ``class_::def()``. Sometimes this
+behavior is not desirable, because you want to provide your own signature or remove 
+the docstring completely to exclude the function from the Sphinx documentation.
+The class ``options`` allows you to selectively suppress auto-generated signatures:
+
+.. code-block:: cpp
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::options options;
+        options.disable_function_signatures();
+        
+        m.def("add", [](int a, int b) { return a + b; }, "A function which adds two numbers");
+        
+        return m.ptr();
+    }
+
+Note that changes to the settings affect only function bindings created during the 
+lifetime of the ``options`` instance. When it goes out of scope at the end of the module's init function, 
+the default settings are restored to prevent unwanted side effects.
+
+.. [#f4] http://www.sphinx-doc.org
+.. [#f5] http://github.com/pybind/python_example

ext/pybind11/docs/advanced/pycpp/index.rst

@@ -0,0 +1,13 @@
+Python C++ interface
+####################
+
+pybind11 exposes Python types and functions using thin C++ wrappers, which
+makes it possible to conveniently call Python code from C++ without resorting
+to Python's C API.
+
+.. toctree::
+   :maxdepth: 2
+
+   object
+   numpy
+   utilities

ext/pybind11/docs/advanced/pycpp/numpy.rst

@@ -0,0 +1,299 @@
+.. _numpy:
+
+NumPy
+#####
+
+Buffer protocol
+===============
+
+Python supports an extremely general and convenient approach for exchanging
+data between plugin libraries. Types can expose a buffer view [#f2]_, which
+provides fast direct access to the raw internal data representation. Suppose we
+want to bind the following simplistic Matrix class:
+
+.. code-block:: cpp
+
+    class Matrix {
+    public:
+        Matrix(size_t rows, size_t cols) : m_rows(rows), m_cols(cols) {
+            m_data = new float[rows*cols];
+        }
+        float *data() { return m_data; }
+        size_t rows() const { return m_rows; }
+        size_t cols() const { return m_cols; }
+    private:
+        size_t m_rows, m_cols;
+        float *m_data;
+    };
+
+The following binding code exposes the ``Matrix`` contents as a buffer object,
+making it possible to cast Matrices into NumPy arrays. It is even possible to
+completely avoid copy operations with Python expressions like
+``np.array(matrix_instance, copy = False)``.
+
+.. code-block:: cpp
+
+    py::class_<Matrix>(m, "Matrix")
+       .def_buffer([](Matrix &m) -> py::buffer_info {
+            return py::buffer_info(
+                m.data(),                               /* Pointer to buffer */
+                sizeof(float),                          /* Size of one scalar */
+                py::format_descriptor<float>::format(), /* Python struct-style format descriptor */
+                2,                                      /* Number of dimensions */
+                { m.rows(), m.cols() },                 /* Buffer dimensions */
+                { sizeof(float) * m.rows(),             /* Strides (in bytes) for each index */
+                  sizeof(float) }
+            );
+        });
+
+The snippet above binds a lambda function, which can create ``py::buffer_info``
+description records on demand describing a given matrix. The contents of
+``py::buffer_info`` mirror the Python buffer protocol specification.
+
+.. code-block:: cpp
+
+    struct buffer_info {
+        void *ptr;
+        size_t itemsize;
+        std::string format;
+        int ndim;
+        std::vector<size_t> shape;
+        std::vector<size_t> strides;
+    };
+
+To create a C++ function that can take a Python buffer object as an argument,
+simply use the type ``py::buffer`` as one of its arguments. Buffers can exist
+in a great variety of configurations, hence some safety checks are usually
+necessary in the function body. Below, you can see an basic example on how to
+define a custom constructor for the Eigen double precision matrix
+(``Eigen::MatrixXd``) type, which supports initialization from compatible
+buffer objects (e.g. a NumPy matrix).
+
+.. code-block:: cpp
+
+    /* Bind MatrixXd (or some other Eigen type) to Python */
+    typedef Eigen::MatrixXd Matrix;
+
+    typedef Matrix::Scalar Scalar;
+    constexpr bool rowMajor = Matrix::Flags & Eigen::RowMajorBit;
+
+    py::class_<Matrix>(m, "Matrix")
+        .def("__init__", [](Matrix &m, py::buffer b) {
+            typedef Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic> Strides;
+
+            /* Request a buffer descriptor from Python */
+            py::buffer_info info = b.request();
+
+            /* Some sanity checks ... */
+            if (info.format != py::format_descriptor<Scalar>::format())
+                throw std::runtime_error("Incompatible format: expected a double array!");
+
+            if (info.ndim != 2)
+                throw std::runtime_error("Incompatible buffer dimension!");
+
+            auto strides = Strides(
+                info.strides[rowMajor ? 0 : 1] / sizeof(Scalar),
+                info.strides[rowMajor ? 1 : 0] / sizeof(Scalar));
+
+            auto map = Eigen::Map<Matrix, 0, Strides>(
+                static_cat<Scalar *>(info.ptr), info.shape[0], info.shape[1], strides);
+
+            new (&m) Matrix(map);
+        });
+
+For reference, the ``def_buffer()`` call for this Eigen data type should look
+as follows:
+
+.. code-block:: cpp
+
+    .def_buffer([](Matrix &m) -> py::buffer_info {
+        return py::buffer_info(
+            m.data(),                /* Pointer to buffer */
+            sizeof(Scalar),          /* Size of one scalar */
+            /* Python struct-style format descriptor */
+            py::format_descriptor<Scalar>::format(),
+            /* Number of dimensions */
+            2,
+            /* Buffer dimensions */
+            { (size_t) m.rows(),
+              (size_t) m.cols() },
+            /* Strides (in bytes) for each index */
+            { sizeof(Scalar) * (rowMajor ? m.cols() : 1),
+              sizeof(Scalar) * (rowMajor ? 1 : m.rows()) }
+        );
+     })
+
+For a much easier approach of binding Eigen types (although with some
+limitations), refer to the section on :doc:`/advanced/cast/eigen`.
+
+.. seealso::
+
+    The file :file:`tests/test_buffers.cpp` contains a complete example
+    that demonstrates using the buffer protocol with pybind11 in more detail.
+
+.. [#f2] http://docs.python.org/3/c-api/buffer.html
+
+Arrays
+======
+
+By exchanging ``py::buffer`` with ``py::array`` in the above snippet, we can
+restrict the function so that it only accepts NumPy arrays (rather than any
+type of Python object satisfying the buffer protocol).
+
+In many situations, we want to define a function which only accepts a NumPy
+array of a certain data type. This is possible via the ``py::array_t<T>``
+template. For instance, the following function requires the argument to be a
+NumPy array containing double precision values.
+
+.. code-block:: cpp
+
+    void f(py::array_t<double> array);
+
+When it is invoked with a different type (e.g. an integer or a list of
+integers), the binding code will attempt to cast the input into a NumPy array
+of the requested type. Note that this feature requires the
+:file:``pybind11/numpy.h`` header to be included.
+
+Data in NumPy arrays is not guaranteed to packed in a dense manner;
+furthermore, entries can be separated by arbitrary column and row strides.
+Sometimes, it can be useful to require a function to only accept dense arrays
+using either the C (row-major) or Fortran (column-major) ordering. This can be
+accomplished via a second template argument with values ``py::array::c_style``
+or ``py::array::f_style``.
+
+.. code-block:: cpp
+
+    void f(py::array_t<double, py::array::c_style | py::array::forcecast> array);
+
+The ``py::array::forcecast`` argument is the default value of the second
+template parameter, and it ensures that non-conforming arguments are converted
+into an array satisfying the specified requirements instead of trying the next
+function overload.
+
+Structured types
+================
+
+In order for ``py::array_t`` to work with structured (record) types, we first need
+to register the memory layout of the type. This can be done via ``PYBIND11_NUMPY_DTYPE``
+macro which expects the type followed by field names:
+
+.. code-block:: cpp
+
+    struct A {
+        int x;
+        double y;
+    };
+
+    struct B {
+        int z;
+        A a;
+    };
+
+    PYBIND11_NUMPY_DTYPE(A, x, y);
+    PYBIND11_NUMPY_DTYPE(B, z, a);
+
+    /* now both A and B can be used as template arguments to py::array_t */
+
+Vectorizing functions
+=====================
+
+Suppose we want to bind a function with the following signature to Python so
+that it can process arbitrary NumPy array arguments (vectors, matrices, general
+N-D arrays) in addition to its normal arguments:
+
+.. code-block:: cpp
+
+    double my_func(int x, float y, double z);
+
+After including the ``pybind11/numpy.h`` header, this is extremely simple:
+
+.. code-block:: cpp
+
+    m.def("vectorized_func", py::vectorize(my_func));
+
+Invoking the function like below causes 4 calls to be made to ``my_func`` with
+each of the array elements. The significant advantage of this compared to
+solutions like ``numpy.vectorize()`` is that the loop over the elements runs
+entirely on the C++ side and can be crunched down into a tight, optimized loop
+by the compiler. The result is returned as a NumPy array of type
+``numpy.dtype.float64``.
+
+.. code-block:: pycon
+
+    >>> x = np.array([[1, 3],[5, 7]])
+    >>> y = np.array([[2, 4],[6, 8]])
+    >>> z = 3
+    >>> result = vectorized_func(x, y, z)
+
+The scalar argument ``z`` is transparently replicated 4 times.  The input
+arrays ``x`` and ``y`` are automatically converted into the right types (they
+are of type  ``numpy.dtype.int64`` but need to be ``numpy.dtype.int32`` and
+``numpy.dtype.float32``, respectively)
+
+Sometimes we might want to explicitly exclude an argument from the vectorization
+because it makes little sense to wrap it in a NumPy array. For instance,
+suppose the function signature was
+
+.. code-block:: cpp
+
+    double my_func(int x, float y, my_custom_type *z);
+
+This can be done with a stateful Lambda closure:
+
+.. code-block:: cpp
+
+    // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
+    m.def("vectorized_func",
+        [](py::array_t<int> x, py::array_t<float> y, my_custom_type *z) {
+            auto stateful_closure = [z](int x, float y) { return my_func(x, y, z); };
+            return py::vectorize(stateful_closure)(x, y);
+        }
+    );
+
+In cases where the computation is too complicated to be reduced to
+``vectorize``, it will be necessary to create and access the buffer contents
+manually. The following snippet contains a complete example that shows how this
+works (the code is somewhat contrived, since it could have been done more
+simply using ``vectorize``).
+
+.. code-block:: cpp
+
+    #include <pybind11/pybind11.h>
+    #include <pybind11/numpy.h>
+
+    namespace py = pybind11;
+
+    py::array_t<double> add_arrays(py::array_t<double> input1, py::array_t<double> input2) {
+        auto buf1 = input1.request(), buf2 = input2.request();
+
+        if (buf1.ndim != 1 || buf2.ndim != 1)
+            throw std::runtime_error("Number of dimensions must be one");
+
+        if (buf1.size != buf2.size)
+            throw std::runtime_error("Input shapes must match");
+
+        /* No pointer is passed, so NumPy will allocate the buffer */
+        auto result = py::array_t<double>(buf1.size);
+
+        auto buf3 = result.request();
+
+        double *ptr1 = (double *) buf1.ptr,
+               *ptr2 = (double *) buf2.ptr,
+               *ptr3 = (double *) buf3.ptr;
+
+        for (size_t idx = 0; idx < buf1.shape[0]; idx++)
+            ptr3[idx] = ptr1[idx] + ptr2[idx];
+
+        return result;
+    }
+
+    PYBIND11_PLUGIN(test) {
+        py::module m("test");
+        m.def("add_arrays", &add_arrays, "Add two NumPy arrays");
+        return m.ptr();
+    }
+
+.. seealso::
+
+    The file :file:`tests/test_numpy_vectorize.cpp` contains a complete
+    example that demonstrates using :func:`vectorize` in more detail.

ext/pybind11/docs/advanced/pycpp/object.rst

@@ -0,0 +1,96 @@
+Python types
+############
+
+Available wrappers
+==================
+
+All major Python types are available as thin C++ wrapper classes. These
+can also be used as function parameters -- see :ref:`python_objects_as_args`.
+
+Available types include :class:`handle`, :class:`object`, :class:`bool_`,
+:class:`int_`, :class:`float_`, :class:`str`, :class:`bytes`, :class:`tuple`,
+:class:`list`, :class:`dict`, :class:`slice`, :class:`none`, :class:`capsule`,
+:class:`iterable`, :class:`iterator`, :class:`function`, :class:`buffer`,
+:class:`array`, and :class:`array_t`.
+
+Casting back and forth
+======================
+
+In this kind of mixed code, it is often necessary to convert arbitrary C++
+types to Python, which can be done using :func:`py::cast`:
+
+.. code-block:: cpp
+
+    MyClass *cls = ..;
+    py::object obj = py::cast(cls);
+
+The reverse direction uses the following syntax:
+
+.. code-block:: cpp
+
+    py::object obj = ...;
+    MyClass *cls = obj.cast<MyClass *>();
+
+When conversion fails, both directions throw the exception :class:`cast_error`.
+
+Calling Python functions
+========================
+
+It is also possible to call python functions via ``operator()``.
+
+.. code-block:: cpp
+
+    py::function f = <...>;
+    py::object result_py = f(1234, "hello", some_instance);
+    MyClass &result = result_py.cast<MyClass>();
+
+Keyword arguments are also supported. In Python, there is the usual call syntax:
+
+.. code-block:: python
+
+    def f(number, say, to):
+        ...  # function code
+
+    f(1234, say="hello", to=some_instance)  # keyword call in Python
+
+In C++, the same call can be made using:
+
+.. code-block:: cpp
+
+    using pybind11::literals; // to bring in the `_a` literal
+    f(1234, "say"_a="hello", "to"_a=some_instance); // keyword call in C++
+
+Unpacking of ``*args`` and ``**kwargs`` is also possible and can be mixed with
+other arguments:
+
+.. code-block:: cpp
+
+    // * unpacking
+    py::tuple args = py::make_tuple(1234, "hello", some_instance);
+    f(*args);
+
+    // ** unpacking
+    py::dict kwargs = py::dict("number"_a=1234, "say"_a="hello", "to"_a=some_instance);
+    f(**kwargs);
+
+    // mixed keywords, * and ** unpacking
+    py::tuple args = py::make_tuple(1234);
+    py::dict kwargs = py::dict("to"_a=some_instance);
+    f(*args, "say"_a="hello", **kwargs);
+
+Generalized unpacking according to PEP448_ is also supported:
+
+.. code-block:: cpp
+
+    py::dict kwargs1 = py::dict("number"_a=1234);
+    py::dict kwargs2 = py::dict("to"_a=some_instance);
+    f(**kwargs1, "say"_a="hello", **kwargs2);
+
+.. seealso::
+
+    The file :file:`tests/test_python_types.cpp` contains a complete
+    example that demonstrates passing native Python types in more detail. The
+    file :file:`tests/test_callbacks.cpp` presents a few examples of calling
+    Python functions from C++, including keywords arguments and unpacking.
+
+.. _PEP448: https://www.python.org/dev/peps/pep-0448/

ext/pybind11/docs/advanced/pycpp/utilities.rst

@@ -0,0 +1,57 @@
+Utilities
+#########
+
+Using Python's print function in C++
+====================================
+
+The usual way to write output in C++ is using ``std::cout`` while in Python one
+would use ``print``. Since these methods use different buffers, mixing them can
+lead to output order issues. To resolve this, pybind11 modules can use the
+:func:`py::print` function which writes to Python's ``sys.stdout`` for consistency.
+
+Python's ``print`` function is replicated in the C++ API including optional
+keyword arguments ``sep``, ``end``, ``file``, ``flush``. Everything works as
+expected in Python:
+
+.. code-block:: cpp
+
+    py::print(1, 2.0, "three"); // 1 2.0 three
+    py::print(1, 2.0, "three", "sep"_a="-"); // 1-2.0-three
+
+    auto args = py::make_tuple("unpacked", true);
+    py::print("->", *args, "end"_a="<-"); // -> unpacked True <-
+
+Evaluating Python expressions from strings and files
+====================================================
+
+pybind11 provides the :func:`eval` and :func:`eval_file` functions to evaluate
+Python expressions and statements. The following example illustrates how they
+can be used.
+
+Both functions accept a template parameter that describes how the argument
+should be interpreted. Possible choices include ``eval_expr`` (isolated
+expression), ``eval_single_statement`` (a single statement, return value is
+always ``none``), and ``eval_statements`` (sequence of statements, return value
+is always ``none``).
+
+.. code-block:: cpp
+
+    // At beginning of file
+    #include <pybind11/eval.h>
+
+    ...
+
+    // Evaluate in scope of main module
+    py::object scope = py::module::import("__main__").attr("__dict__");
+
+    // Evaluate an isolated expression
+    int result = py::eval("my_variable + 10", scope).cast<int>();
+
+    // Evaluate a sequence of statements
+    py::eval<py::eval_statements>(
+        "print('Hello')\n"
+        "print('world!');",
+        scope);
+
+    // Evaluate the statements in an separate Python file on disk
+    py::eval_file("script.py", scope);

ext/pybind11/docs/advanced/smart_ptrs.rst

@@ -0,0 +1,143 @@
+Smart pointers
+##############
+
+std::unique_ptr
+===============
+
+Given a class ``Example`` with Python bindings, it's possible to return
+instances wrapped in C++11 unique pointers, like so
+
+.. code-block:: cpp
+
+    std::unique_ptr<Example> create_example() { return std::unique_ptr<Example>(new Example()); }
+
+.. code-block:: cpp
+
+    m.def("create_example", &create_example);
+
+In other words, there is nothing special that needs to be done. While returning
+unique pointers in this way is allowed, it is *illegal* to use them as function
+arguments. For instance, the following function signature cannot be processed
+by pybind11.
+
+.. code-block:: cpp
+
+    void do_something_with_example(std::unique_ptr<Example> ex) { ... }
+
+The above signature would imply that Python needs to give up ownership of an
+object that is passed to this function, which is generally not possible (for
+instance, the object might be referenced elsewhere).
+
+std::shared_ptr
+===============
+
+The binding generator for classes, :class:`class_`, can be passed a template
+type that denotes a special *holder* type that is used to manage references to
+the object.  If no such holder type template argument is given, the default for
+a type named ``Type`` is ``std::unique_ptr<Type>``, which means that the object
+is deallocated when Python's reference count goes to zero.
+
+It is possible to switch to other types of reference counting wrappers or smart
+pointers, which is useful in codebases that rely on them. For instance, the
+following snippet causes ``std::shared_ptr`` to be used instead.
+
+.. code-block:: cpp
+
+    py::class_<Example, std::shared_ptr<Example> /* <- holder type */> obj(m, "Example");
+
+Note that any particular class can only be associated with a single holder type.
+
+One potential stumbling block when using holder types is that they need to be
+applied consistently. Can you guess what's broken about the following binding
+code?
+
+.. code-block:: cpp
+
+    class Child { };
+
+    class Parent {
+    public:
+       Parent() : child(std::make_shared<Child>()) { }
+       Child *get_child() { return child.get(); }  /* Hint: ** DON'T DO THIS ** */
+    private:
+        std::shared_ptr<Child> child;
+    };
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example");
+
+        py::class_<Child, std::shared_ptr<Child>>(m, "Child");
+
+        py::class_<Parent, std::shared_ptr<Parent>>(m, "Parent")
+           .def(py::init<>())
+           .def("get_child", &Parent::get_child);
+
+        return m.ptr();
+    }
+
+The following Python code will cause undefined behavior (and likely a
+segmentation fault).
+
+.. code-block:: python
+
+   from example import Parent
+   print(Parent().get_child())
+
+The problem is that ``Parent::get_child()`` returns a pointer to an instance of
+``Child``, but the fact that this instance is already managed by
+``std::shared_ptr<...>`` is lost when passing raw pointers. In this case,
+pybind11 will create a second independent ``std::shared_ptr<...>`` that also
+claims ownership of the pointer. In the end, the object will be freed **twice**
+since these shared pointers have no way of knowing about each other.
+
+There are two ways to resolve this issue:
+
+1. For types that are managed by a smart pointer class, never use raw pointers
+   in function arguments or return values. In other words: always consistently
+   wrap pointers into their designated holder types (such as
+   ``std::shared_ptr<...>``). In this case, the signature of ``get_child()``
+   should be modified as follows:
+
+.. code-block:: cpp
+
+    std::shared_ptr<Child> get_child() { return child; }
+
+2. Adjust the definition of ``Child`` by specifying
+   ``std::enable_shared_from_this<T>`` (see cppreference_ for details) as a
+   base class. This adds a small bit of information to ``Child`` that allows
+   pybind11 to realize that there is already an existing
+   ``std::shared_ptr<...>`` and communicate with it. In this case, the
+   declaration of ``Child`` should look as follows:
+
+.. _cppreference: http://en.cppreference.com/w/cpp/memory/enable_shared_from_this
+
+.. code-block:: cpp
+
+    class Child : public std::enable_shared_from_this<Child> { };
+
+.. _smart_pointers:
+
+Custom smart pointers
+=====================
+
+pybind11 supports ``std::unique_ptr`` and ``std::shared_ptr`` right out of the
+box. For any other custom smart pointer, transparent conversions can be enabled
+using a macro invocation similar to the following. It must be declared at the
+level before any binding code:
+
+.. code-block:: cpp
+
+    PYBIND11_DECLARE_HOLDER_TYPE(T, SmartPtr<T>);
+
+The first argument of :func:`PYBIND11_DECLARE_HOLDER_TYPE` should be a
+placeholder name that is used as a template parameter of the second argument.
+Thus, feel free to use any identifier, but use it consistently on both sides;
+also, don't use the name of a type that already exists in your codebase.
+
+Please take a look at the :ref:`macro_notes` before using this feature.
+
+.. seealso::
+
+    The file :file:`tests/test_smart_ptr.cpp` contains a complete example
+    that demonstrates how to work with custom reference-counting holder types
+    in more detail.

ext/pybind11/docs/basics.rst

@@ -0,0 +1,289 @@
+.. _basics:
+
+First steps
+###########
+
+This sections demonstrates the basic features of pybind11. Before getting
+started, make sure that development environment is set up to compile the
+included set of test cases.
+
+
+Compiling the test cases
+========================
+
+Linux/MacOS
+-----------
+
+On Linux  you'll need to install the **python-dev** or **python3-dev** packages as
+well as **cmake**. On Mac OS, the included python version works out of the box,
+but **cmake** must still be installed.
+
+After installing the prerequisites, run
+
+.. code-block:: bash
+
+   mkdir build
+   cd build
+   cmake ..
+   make pytest -j 4
+
+The last line will both compile and run the tests.
+
+Windows
+-------
+
+On Windows, only **Visual Studio 2015** and newer are supported since pybind11 relies
+on various C++11 language features that break older versions of Visual Studio.
+
+To compile and run the tests:
+
+.. code-block:: batch
+
+   mkdir build
+   cd build
+   cmake ..
+   cmake --build . --config Release --target pytest
+
+This will create a Visual Studio project, compile and run the target, all from the
+command line.
+
+.. Note::
+
+    If all tests fail, make sure that the Python binary and the testcases are compiled
+    for the same processor type and bitness (i.e. either **i386** or **x86_64**). You
+    can specify **x86_64** as the target architecture for the generated Visual Studio
+    project using ``cmake -A x64 ..``.
+
+.. seealso::
+
+    Advanced users who are already familiar with Boost.Python may want to skip
+    the tutorial and look at the test cases in the :file:`tests` directory,
+    which exercise all features of pybind11.
+
+Header and namespace conventions
+================================
+
+For brevity, all code examples assume that the following two lines are present:
+
+.. code-block:: cpp
+
+    #include <pybind11/pybind11.h>
+
+    namespace py = pybind11;
+
+Some features may require additional headers, but those will be specified as needed.
+
+Creating bindings for a simple function
+=======================================
+
+Let's start by creating Python bindings for an extremely simple function, which
+adds two numbers and returns their result:
+
+.. code-block:: cpp
+
+    int add(int i, int j) {
+        return i + j;
+    }
+
+For simplicity [#f1]_, we'll put both this function and the binding code into
+a file named :file:`example.cpp` with the following contents:
+
+.. code-block:: cpp
+
+    #include <pybind11/pybind11.h>
+
+    int add(int i, int j) {
+        return i + j;
+    }
+
+    namespace py = pybind11;
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        m.def("add", &add, "A function which adds two numbers");
+
+        return m.ptr();
+    }
+
+.. [#f1] In practice, implementation and binding code will generally be located
+         in separate files.
+
+The :func:`PYBIND11_PLUGIN` macro creates a function that will be called when an
+``import`` statement is issued from within Python. The next line creates a
+module named ``example`` (with the supplied docstring). The method
+:func:`module::def` generates binding code that exposes the
+``add()`` function to Python. The last line returns the internal Python object
+associated with ``m`` to the Python interpreter.
+
+.. note::
+
+    Notice how little code was needed to expose our function to Python: all
+    details regarding the function's parameters and return value were
+    automatically inferred using template metaprogramming. This overall
+    approach and the used syntax are borrowed from Boost.Python, though the
+    underlying implementation is very different.
+
+pybind11 is a header-only-library, hence it is not necessary to link against
+any special libraries (other than Python itself). On Windows, use the CMake
+build file discussed in section :ref:`cmake`. On Linux and Mac OS, the above
+example can be compiled using the following command
+
+.. code-block:: bash
+
+    $ c++ -O3 -shared -std=c++11 -I <path-to-pybind11>/include `python-config --cflags --ldflags` example.cpp -o example.so
+
+In general, it is advisable to include several additional build parameters
+that can considerably reduce the size of the created binary. Refer to section
+:ref:`cmake` for a detailed example of a suitable cross-platform CMake-based
+build system.
+
+Assuming that the created file :file:`example.so` (:file:`example.pyd` on Windows)
+is located in the current directory, the following interactive Python session
+shows how to load and execute the example.
+
+.. code-block:: pycon
+
+    $ python
+    Python 2.7.10 (default, Aug 22 2015, 20:33:39)
+    [GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.59.1)] on darwin
+    Type "help", "copyright", "credits" or "license" for more information.
+    >>> import example
+    >>> example.add(1, 2)
+    3L
+    >>>
+
+.. _keyword_args:
+
+Keyword arguments
+=================
+
+With a simple modification code, it is possible to inform Python about the
+names of the arguments ("i" and "j" in this case).
+
+.. code-block:: cpp
+
+    m.def("add", &add, "A function which adds two numbers",
+          py::arg("i"), py::arg("j"));
+
+:class:`arg` is one of several special tag classes which can be used to pass
+metadata into :func:`module::def`. With this modified binding code, we can now
+call the function using keyword arguments, which is a more readable alternative
+particularly for functions taking many parameters:
+
+.. code-block:: pycon
+
+    >>> import example
+    >>> example.add(i=1, j=2)
+    3L
+
+The keyword names also appear in the function signatures within the documentation.
+
+.. code-block:: pycon
+
+    >>> help(example)
+
+    ....
+
+    FUNCTIONS
+        add(...)
+            Signature : (i: int, j: int) -> int
+
+            A function which adds two numbers
+
+A shorter notation for named arguments is also available:
+
+.. code-block:: cpp
+
+    // regular notation
+    m.def("add1", &add, py::arg("i"), py::arg("j"));
+    // shorthand
+    using namespace pybind11::literals;
+    m.def("add2", &add, "i"_a, "j"_a);
+
+The :var:`_a` suffix forms a C++11 literal which is equivalent to :class:`arg`.
+Note that the literal operator must first be made visible with the directive
+``using namespace pybind11::literals``. This does not bring in anything else
+from the ``pybind11`` namespace except for literals.
+
+.. _default_args:
+
+Default arguments
+=================
+
+Suppose now that the function to be bound has default arguments, e.g.:
+
+.. code-block:: cpp
+
+    int add(int i = 1, int j = 2) {
+        return i + j;
+    }
+
+Unfortunately, pybind11 cannot automatically extract these parameters, since they
+are not part of the function's type information. However, they are simple to specify
+using an extension of :class:`arg`:
+
+.. code-block:: cpp
+
+    m.def("add", &add, "A function which adds two numbers",
+          py::arg("i") = 1, py::arg("j") = 2);
+
+The default values also appear within the documentation.
+
+.. code-block:: pycon
+
+    >>> help(example)
+
+    ....
+
+    FUNCTIONS
+        add(...)
+            Signature : (i: int = 1, j: int = 2) -> int
+
+            A function which adds two numbers
+
+The shorthand notation is also available for default arguments:
+
+.. code-block:: cpp
+
+    // regular notation
+    m.def("add1", &add, py::arg("i") = 1, py::arg("j") = 2);
+    // shorthand
+    m.def("add2", &add, "i"_a=1, "j"_a=2);
+
+Exporting variables
+===================
+
+To expose a value from C++, use the ``attr`` function to register it in a
+module as shown below. Built-in types and general objects (more on that later)
+are automatically converted when assigned as attributes, and can be explicitly
+converted using the function ``py::cast``.
+
+.. code-block:: cpp
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+        m.attr("the_answer") = 42;
+        py::object world = py::cast("World");
+        m.attr("what") = world;
+        return m.ptr();
+    }
+
+These are then accessible from Python:
+
+.. code-block:: pycon
+
+    >>> import example
+    >>> example.the_answer
+    42
+    >>> example.what
+    'World'
+
+.. _supported_types:
+
+Supported data types
+====================
+
+A large number of data types are supported out of the box and can be used
+seamlessly as functions arguments, return values or with ``py::cast`` in general.
+For a full overview, see the :doc:`advanced/cast/index` section.

ext/pybind11/docs/benchmark.py

@@ -0,0 +1,90 @@
+import random
+import os
+import time
+import datetime as dt
+
+nfns = 4  # Functions per class
+nargs = 4  # Arguments per function
+
+
+def generate_dummy_code_pybind11(nclasses=10):
+    decl = ""
+    bindings = ""
+
+    for cl in range(nclasses):
+        decl += "class cl%03i;\n" % cl
+    decl += '\n'
+
+    for cl in range(nclasses):
+        decl += "class cl%03i {\n" % cl
+        decl += "public:\n"
+        bindings += '    py::class_<cl%03i>(m, "cl%03i")\n' % (cl, cl)
+        for fn in range(nfns):
+            ret = random.randint(0, nclasses - 1)
+            params  = [random.randint(0, nclasses - 1) for i in range(nargs)]
+            decl += "    cl%03i *fn_%03i(" % (ret, fn)
+            decl += ", ".join("cl%03i *" % p for p in params)
+            decl += ");\n"
+            bindings += '        .def("fn_%03i", &cl%03i::fn_%03i)\n' % \
+                (fn, cl, fn)
+        decl += "};\n\n"
+        bindings += '        ;\n'
+
+    result = "#include <pybind11/pybind11.h>\n\n"
+    result += "namespace py = pybind11;\n\n"
+    result += decl + '\n'
+    result += "PYBIND11_PLUGIN(example) {\n"
+    result += "    py::module m(\"example\");"
+    result += bindings
+    result += "    return m.ptr();"
+    result += "}"
+    return result
+
+
+def generate_dummy_code_boost(nclasses=10):
+    decl = ""
+    bindings = ""
+
+    for cl in range(nclasses):
+        decl += "class cl%03i;\n" % cl
+    decl += '\n'
+
+    for cl in range(nclasses):
+        decl += "class cl%03i {\n" % cl
+        decl += "public:\n"
+        bindings += '    py::class_<cl%03i>("cl%03i")\n' % (cl, cl)
+        for fn in range(nfns):
+            ret = random.randint(0, nclasses - 1)
+            params  = [random.randint(0, nclasses - 1) for i in range(nargs)]
+            decl += "    cl%03i *fn_%03i(" % (ret, fn)
+            decl += ", ".join("cl%03i *" % p for p in params)
+            decl += ");\n"
+            bindings += '        .def("fn_%03i", &cl%03i::fn_%03i, py::return_value_policy<py::manage_new_object>())\n' % \
+                (fn, cl, fn)
+        decl += "};\n\n"
+        bindings += '        ;\n'
+
+    result = "#include <boost/python.hpp>\n\n"
+    result += "namespace py = boost::python;\n\n"
+    result += decl + '\n'
+    result += "BOOST_PYTHON_MODULE(example) {\n"
+    result += bindings
+    result += "}"
+    return result
+
+
+for codegen in [generate_dummy_code_pybind11, generate_dummy_code_boost]:
+    print ("{")
+    for i in range(0, 10):
+        nclasses = 2 ** i
+        with open("test.cpp", "w") as f:
+            f.write(codegen(nclasses))
+        n1 = dt.datetime.now()
+        os.system("g++ -Os -shared -rdynamic -undefined dynamic_lookup "
+            "-fvisibility=hidden -std=c++14 test.cpp -I include "
+            "-I /System/Library/Frameworks/Python.framework/Headers -o test.so")
+        n2 = dt.datetime.now()
+        elapsed = (n2 - n1).total_seconds()
+        size = os.stat('test.so').st_size
+        print("   {%i, %f, %i}," % (nclasses * nfns, elapsed, size))
+    print ("}")

ext/pybind11/docs/benchmark.rst

@@ -0,0 +1,99 @@
+Benchmark
+=========
+
+The following is the result of a synthetic benchmark comparing both compilation
+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
+-----
+
+A python script (see the ``docs/benchmark.py`` file) was used to generate a set
+of files with dummy classes whose count increases for each successive benchmark
+(between 1 and 2048 classes in powers of two). Each class has four methods with
+a randomly generated signature with a return value and four arguments. (There
+was no particular reason for this setup other than the desire to generate many
+unique function signatures whose count could be controlled in a simple way.)
+
+Here is an example of the binding code for one class:
+
+.. code-block:: cpp
+
+    ...
+    class cl034 {
+    public:
+        cl279 *fn_000(cl084 *, cl057 *, cl065 *, cl042 *);
+        cl025 *fn_001(cl098 *, cl262 *, cl414 *, cl121 *);
+        cl085 *fn_002(cl445 *, cl297 *, cl145 *, cl421 *);
+        cl470 *fn_003(cl200 *, cl323 *, cl332 *, cl492 *);
+    };
+    ...
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example");
+        ...
+        py::class_<cl034>(m, "cl034")
+            .def("fn_000", &cl034::fn_000)
+            .def("fn_001", &cl034::fn_001)
+            .def("fn_002", &cl034::fn_002)
+            .def("fn_003", &cl034::fn_003)
+        ...
+        return m.ptr();
+    }
+
+The Boost.Python version looks almost identical except that a return value
+policy had to be specified as an argument to ``def()``. For both libraries,
+compilation was done with
+
+.. code-block:: bash
+
+    Apple LLVM version 7.0.2 (clang-700.1.81)
+
+and the following compilation flags
+
+.. code-block:: bash
+
+    g++ -Os -shared -rdynamic -undefined dynamic_lookup -fvisibility=hidden -std=c++14
+
+Compilation time
+----------------
+
+The following log-log plot shows how the compilation time grows for an
+increasing number of class and function declarations. pybind11 includes many
+fewer headers, which initially leads to shorter compilation times, but the
+performance is ultimately fairly similar (pybind11 is 19.8 seconds faster for
+the largest largest file with 2048 classes and a total of 8192 methods -- a
+modest **1.2x** speedup relative to Boost.Python, which required 116.35
+seconds).
+
+.. only:: not latex
+
+    .. image:: pybind11_vs_boost_python1.svg
+
+.. only:: latex
+
+    .. image:: pybind11_vs_boost_python1.png
+
+Module size
+-----------
+
+Differences between the two libraries become much more pronounced when
+considering the file size of the generated Python plugin: for the largest file,
+the binary generated by Boost.Python required 16.8 MiB, which was **2.17
+times** / **9.1 megabytes** larger than the output generated by pybind11. For
+very small inputs, Boost.Python has an edge in the plot below -- however, note
+that it stores many definitions in an external library, whose size was not
+included here, hence the comparison is slightly shifted in Boost.Python's
+favor.
+
+.. only:: not latex
+
+    .. image:: pybind11_vs_boost_python2.svg
+
+.. only:: latex
+
+    .. image:: pybind11_vs_boost_python2.png
+
+

ext/pybind11/docs/changelog.rst

@@ -0,0 +1,222 @@
+.. _changelog:
+
+Changelog
+#########
+
+Starting with version 1.8, pybind11 releases use a
+[semantic versioning](http://semver.org) policy.
+
+Breaking changes queued for v2.0.0 (Not yet released)
+-----------------------------------------------------
+* Redesigned virtual call mechanism and user-facing syntax (see
+  https://github.com/pybind/pybind11/commit/86d825f3302701d81414ddd3d38bcd09433076bc)
+
+* Remove ``handle.call()`` method
+
+1.9.0 (Not yet released)
+------------------------
+* Queued changes: map indexing suite, documentation for indexing suites.
+* Mapping a stateless C++ function to Python and back is now "for free" (i.e. no call overheads)
+* Support for translation of arbitrary C++ exceptions to Python counterparts
+* Added ``eval`` and ``eval_file`` functions for evaluating expressions and
+  statements from a string or file
+* eigen.h type converter fixed for non-contiguous arrays (e.g. slices)
+* Print more informative error messages when ``make_tuple()`` or ``cast()`` fail
+* ``std::enable_shared_from_this<>`` now also works for ``const`` values
+* A return value policy can now be passed to ``handle::operator()``
+* ``make_iterator()`` improvements for better compatibility with various types
+  (now uses prefix increment operator); it now also accepts iterators with
+  different begin/end types as long as they are equality comparable.
+* ``arg()`` now accepts a wider range of argument types for default values
+* Added ``py::repr()`` function which is equivalent to Python's builtin ``repr()``.
+* Added support for registering structured dtypes via ``PYBIND11_NUMPY_DTYPE()`` macro.
+* Added ``PYBIND11_STR_TYPE`` macro which maps to the ``builtins.str`` type.
+* Added a simplified ``buffer_info`` constructor for 1-dimensional buffers.
+* Format descriptor strings should now be accessed via ``format_descriptor::format()``
+  (for compatibility purposes, the old syntax ``format_descriptor::value`` will still
+  work for non-structured data types).
+* Added a class wrapping NumPy array descriptors: ``dtype``.
+* Added buffer/NumPy support for ``char[N]`` and ``std::array<char, N>`` types.
+* ``array`` gained new constructors accepting dtype objects.
+* Added constructors for ``array`` and ``array_t`` explicitly accepting shape and
+  strides; if strides are not provided, they are deduced assuming C-contiguity.
+  Also added simplified constructors for 1-dimensional case.
+* Added constructors for ``str`` from ``bytes`` and for ``bytes`` from ``str``.
+  This will do the UTF-8 decoding/encoding as required.
+* Added constructors for ``str`` and ``bytes`` from zero-terminated char pointers,
+  and from char pointers and length.
+* Added ``memoryview`` wrapper type which is constructible from ``buffer_info``.
+* New syntax to call a Python function from C++ using keyword arguments and unpacking,
+  e.g. ``foo(1, 2, "z"_a=3)`` or ``bar(1, *args, "z"_a=3, **kwargs)``.
+* Added ``py::print()`` function which replicates Python's API and writes to Python's
+  ``sys.stdout`` by default (as opposed to C's ``stdout`` like ``std::cout``).
+* Added ``py::dict`` keyword constructor:``auto d = dict("number"_a=42, "name"_a="World");``
+* Added ``py::str::format()`` method and ``_s`` literal:
+  ``py::str s = "1 + 2 = {}"_s.format(3);``
+* Attribute and item accessors now have a more complete interface which makes it possible
+  to chain attributes ``obj.attr("a")[key].attr("b").attr("method")(1, 2, 3)```.
+* Added built-in support for ``std::shared_ptr`` holder type. There is no more need
+  to do it manually via ``PYBIND11_DECLARE_HOLDER_TYPE(T, std::shared_ptr<T>)``.
+* Default return values policy changes: non-static properties now use ``reference_internal``
+  and static properties use ``reference`` (previous default was ``automatic``, i.e. ``copy``).
+* Support for ``std::experimental::optional<T>`` and ``std::optional<T>`` (C++17).
+* Various minor improvements of library internals (no user-visible changes)
+
+1.8.1 (July 12, 2016)
+----------------------
+* Fixed a rare but potentially very severe issue when the garbage collector ran
+  during pybind11 type creation.
+
+1.8.0 (June 14, 2016)
+----------------------
+* Redesigned CMake build system which exports a convenient
+  ``pybind11_add_module`` function to parent projects.
+* ``std::vector<>`` type bindings analogous to Boost.Python's ``indexing_suite``
+* Transparent conversion of sparse and dense Eigen matrices and vectors (``eigen.h``)
+* Added an ``ExtraFlags`` template argument to the NumPy ``array_t<>`` wrapper
+  to disable an enforced cast that may lose precision, e.g. to create overloads
+  for different precisions and complex vs real-valued matrices.
+* Prevent implicit conversion of floating point values to integral types in
+  function arguments
+* Fixed incorrect default return value policy for functions returning a shared
+  pointer
+* Don't allow registering a type via ``class_`` twice
+* Don't allow casting a ``None`` value into a C++ lvalue reference
+* Fixed a crash in ``enum_::operator==`` that was triggered by the ``help()`` command
+* Improved detection of whether or not custom C++ types can be copy/move-constructed
+* Extended ``str`` type to also work with ``bytes`` instances
+* Added a ``"name"_a`` user defined string literal that is equivalent to ``py::arg("name")``.
+* When specifying function arguments via ``py::arg``, the test that verifies
+  the number of arguments now runs at compile time.
+* Added ``[[noreturn]]`` attribute to ``pybind11_fail()`` to quench some
+  compiler warnings
+* List function arguments in exception text when the dispatch code cannot find
+  a matching overload
+* Added ``PYBIND11_OVERLOAD_NAME`` and ``PYBIND11_OVERLOAD_PURE_NAME`` macros which
+  can be used to override virtual methods whose name differs in C++ and Python
+  (e.g. ``__call__`` and ``operator()``)
+* Various minor ``iterator`` and ``make_iterator()`` improvements
+* Transparently support ``__bool__`` on Python 2.x and Python 3.x
+* Fixed issue with destructor of unpickled object not being called
+* Minor CMake build system improvements on Windows
+* New ``pybind11::args`` and ``pybind11::kwargs`` types to create functions which
+  take an arbitrary number of arguments and keyword arguments
+* New syntax to call a Python function from C++ using ``*args`` and ``*kwargs``
+* The functions ``def_property_*`` now correctly process docstring arguments (these
+  formerly caused a segmentation fault)
+* Many ``mkdoc.py`` improvements (enumerations, template arguments, ``DOC()``
+  macro accepts more arguments)
+* Cygwin support
+* Documentation improvements (pickling support, ``keep_alive``, macro usage)
+
+1.7 (April 30, 2016)
+----------------------
+* Added a new ``move`` return value policy that triggers C++11 move semantics.
+  The automatic return value policy falls back to this case whenever a rvalue
+  reference is encountered
+* Significantly more general GIL state routines that are used instead of
+  Python's troublesome ``PyGILState_Ensure`` and ``PyGILState_Release`` API
+* Redesign of opaque types that drastically simplifies their usage
+* Extended ability to pass values of type ``[const] void *``
+* ``keep_alive`` fix: don't fail when there is no patient
+* ``functional.h``: acquire the GIL before calling a Python function
+* Added Python RAII type wrappers ``none`` and ``iterable``
+* Added ``*args`` and ``*kwargs`` pass-through parameters to
+  ``pybind11.get_include()`` function
+* Iterator improvements and fixes
+* Documentation on return value policies and opaque types improved
+
+1.6 (April 30, 2016)
+----------------------
+* Skipped due to upload to PyPI gone wrong and inability to recover
+  (https://github.com/pypa/packaging-problems/issues/74)
+
+1.5 (April 21, 2016)
+----------------------
+* For polymorphic types, use RTTI to try to return the closest type registered with pybind11
+* Pickling support for serializing and unserializing C++ instances to a byte stream in Python
+* Added a convenience routine ``make_iterator()`` which turns a range indicated
+  by a pair of C++ iterators into a iterable Python object
+* Added ``len()`` and a variadic ``make_tuple()`` function
+* Addressed a rare issue that could confuse the current virtual function
+  dispatcher and another that could lead to crashes in multi-threaded
+  applications
+* Added a ``get_include()`` function to the Python module that returns the path
+  of the directory containing the installed pybind11 header files
+* Documentation improvements: import issues, symbol visibility, pickling, limitations
+* Added casting support for ``std::reference_wrapper<>``
+
+1.4 (April 7, 2016)
+--------------------------
+* Transparent type conversion for ``std::wstring`` and ``wchar_t``
+* Allow passing ``nullptr``-valued strings
+* Transparent passing of ``void *`` pointers using capsules
+* Transparent support for returning values wrapped in ``std::unique_ptr<>``
+* Improved docstring generation for compatibility with Sphinx
+* Nicer debug error message when default parameter construction fails
+* Support for "opaque" types that bypass the transparent conversion layer for STL containers
+* Redesigned type casting interface to avoid ambiguities that could occasionally cause compiler errors
+* Redesigned property implementation; fixes crashes due to an unfortunate default return value policy
+* Anaconda package generation support
+
+1.3 (March 8, 2016)
+--------------------------
+
+* Added support for the Intel C++ compiler (v15+)
+* Added support for the STL unordered set/map data structures
+* Added support for the STL linked list data structure
+* NumPy-style broadcasting support in ``pybind11::vectorize``
+* pybind11 now displays more verbose error messages when ``arg::operator=()`` fails
+* pybind11 internal data structures now live in a version-dependent namespace to avoid ABI issues
+* Many, many bugfixes involving corner cases and advanced usage
+
+1.2 (February 7, 2016)
+--------------------------
+
+* Optional: efficient generation of function signatures at compile time using C++14
+* Switched to a simpler and more general way of dealing with function default
+  arguments. Unused keyword arguments in function calls are now detected and
+  cause errors as expected
+* New ``keep_alive`` call policy analogous to Boost.Python's ``with_custodian_and_ward``
+* New ``pybind11::base<>`` attribute to indicate a subclass relationship
+* Improved interface for RAII type wrappers in ``pytypes.h``
+* Use RAII type wrappers consistently within pybind11 itself. This
+  fixes various potential refcount leaks when exceptions occur
+* Added new ``bytes`` RAII type wrapper (maps to ``string`` in Python 2.7)
+* Made handle and related RAII classes const correct, using them more
+  consistently everywhere now
+* Got rid of the ugly ``__pybind11__`` attributes on the Python side---they are
+  now stored in a C++ hash table that is not visible in Python
+* Fixed refcount leaks involving NumPy arrays and bound functions
+* Vastly improved handling of shared/smart pointers
+* Removed an unnecessary copy operation in ``pybind11::vectorize``
+* Fixed naming clashes when both pybind11 and NumPy headers are included
+* Added conversions for additional exception types
+* Documentation improvements (using multiple extension modules, smart pointers,
+  other minor clarifications)
+* unified infrastructure for parsing variadic arguments in ``class_`` and cpp_function
+* Fixed license text (was: ZLIB, should have been: 3-clause BSD)
+* Python 3.2 compatibility
+* Fixed remaining issues when accessing types in another plugin module
+* Added enum comparison and casting methods
+* Improved SFINAE-based detection of whether types are copy-constructible
+* Eliminated many warnings about unused variables and the use of ``offsetof()``
+* Support for ``std::array<>`` conversions
+
+1.1 (December 7, 2015)
+--------------------------
+
+* Documentation improvements (GIL, wrapping functions, casting, fixed many typos)
+* Generalized conversion of integer types
+* Improved support for casting function objects
+* Improved support for ``std::shared_ptr<>`` conversions
+* Initial support for ``std::set<>`` conversions
+* Fixed type resolution issue for types defined in a separate plugin module
+* Cmake build system improvements
+* Factored out generic functionality to non-templated code (smaller code size)
+* Added a code size / compile time benchmark vs Boost.Python
+* Added an appveyor CI script
+
+1.0 (October 15, 2015)
+------------------------
+* Initial release

ext/pybind11/docs/classes.rst

@@ -0,0 +1,439 @@
+.. _classes:
+
+Object-oriented code
+####################
+
+Creating bindings for a custom type
+===================================
+
+Let's now look at a more complex example where we'll create bindings for a
+custom C++ data structure named ``Pet``. Its definition is given below:
+
+.. code-block:: cpp
+
+    struct Pet {
+        Pet(const std::string &name) : name(name) { }
+        void setName(const std::string &name_) { name = name_; }
+        const std::string &getName() const { return name; }
+
+        std::string name;
+    };
+
+The binding code for ``Pet`` looks as follows:
+
+.. code-block:: cpp
+
+    #include <pybind11/pybind11.h>
+
+    namespace py = pybind11;
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind11 example plugin");
+
+        py::class_<Pet>(m, "Pet")
+            .def(py::init<const std::string &>())
+            .def("setName", &Pet::setName)
+            .def("getName", &Pet::getName);
+
+        return m.ptr();
+    }
+
+:class:`class_` creates bindings for a C++ `class` or `struct`-style data
+structure. :func:`init` is a convenience function that takes the types of a
+constructor's parameters as template arguments and wraps the corresponding
+constructor (see the :ref:`custom_constructors` section for details). An
+interactive Python session demonstrating this example is shown below:
+
+.. code-block:: pycon
+
+    % python
+    >>> import example
+    >>> p = example.Pet('Molly')
+    >>> print(p)
+    <example.Pet object at 0x10cd98060>
+    >>> p.getName()
+    u'Molly'
+    >>> p.setName('Charly')
+    >>> p.getName()
+    u'Charly'
+
+.. seealso::
+
+    Static member functions can be bound in the same way using
+    :func:`class_::def_static`.
+
+Keyword and default arguments
+=============================
+It is possible to specify keyword and default arguments using the syntax
+discussed in the previous chapter. Refer to the sections :ref:`keyword_args`
+and :ref:`default_args` for details.
+
+Binding lambda functions
+========================
+
+Note how ``print(p)`` produced a rather useless summary of our data structure in the example above:
+
+.. code-block:: pycon
+
+    >>> print(p)
+    <example.Pet object at 0x10cd98060>
+
+To address this, we could bind an utility function that returns a human-readable
+summary to the special method slot named ``__repr__``. Unfortunately, there is no
+suitable functionality in the ``Pet`` data structure, and it would be nice if
+we did not have to change it. This can easily be accomplished by binding a
+Lambda function instead:
+
+.. code-block:: cpp
+
+        py::class_<Pet>(m, "Pet")
+            .def(py::init<const std::string &>())
+            .def("setName", &Pet::setName)
+            .def("getName", &Pet::getName)
+            .def("__repr__",
+                [](const Pet &a) {
+                    return "<example.Pet named '" + a.name + "'>";
+                }
+            );
+
+Both stateless [#f1]_ and stateful lambda closures are supported by pybind11.
+With the above change, the same Python code now produces the following output:
+
+.. code-block:: pycon
+
+    >>> print(p)
+    <example.Pet named 'Molly'>
+
+.. [#f1] Stateless closures are those with an empty pair of brackets ``[]`` as the capture object.
+
+.. _properties:
+
+Instance and static fields
+==========================
+
+We can also directly expose the ``name`` field using the
+:func:`class_::def_readwrite` method. A similar :func:`class_::def_readonly`
+method also exists for ``const`` fields.
+
+.. code-block:: cpp
+
+        py::class_<Pet>(m, "Pet")
+            .def(py::init<const std::string &>())
+            .def_readwrite("name", &Pet::name)
+            // ... remainder ...
+
+This makes it possible to write
+
+.. code-block:: pycon
+
+    >>> p = example.Pet('Molly')
+    >>> p.name
+    u'Molly'
+    >>> p.name = 'Charly'
+    >>> p.name
+    u'Charly'
+
+Now suppose that ``Pet::name`` was a private internal variable
+that can only be accessed via setters and getters.
+
+.. code-block:: cpp
+
+    class Pet {
+    public:
+        Pet(const std::string &name) : name(name) { }
+        void setName(const std::string &name_) { name = name_; }
+        const std::string &getName() const { return name; }
+    private:
+        std::string name;
+    };
+
+In this case, the method :func:`class_::def_property`
+(:func:`class_::def_property_readonly` for read-only data) can be used to
+provide a field-like interface within Python that will transparently call
+the setter and getter functions:
+
+.. code-block:: cpp
+
+        py::class_<Pet>(m, "Pet")
+            .def(py::init<const std::string &>())
+            .def_property("name", &Pet::getName, &Pet::setName)
+            // ... remainder ...
+
+.. seealso::
+
+    Similar functions :func:`class_::def_readwrite_static`,
+    :func:`class_::def_readonly_static` :func:`class_::def_property_static`,
+    and :func:`class_::def_property_readonly_static` are provided for binding
+    static variables and properties. Please also see the section on
+    :ref:`static_properties` in the advanced part of the documentation.
+
+Dynamic attributes
+==================
+
+Native Python classes can pick up new attributes dynamically:
+
+.. code-block:: pycon
+
+    >>> class Pet:
+    ...     name = 'Molly'
+    ...
+    >>> p = Pet()
+    >>> p.name = 'Charly'  # overwrite existing
+    >>> p.age = 2  # dynamically add a new attribute
+
+By default, classes exported from C++ do not support this and the only writable
+attributes are the ones explicitly defined using :func:`class_::def_readwrite`
+or :func:`class_::def_property`.
+
+.. code-block:: cpp
+
+    py::class_<Pet>(m, "Pet")
+        .def(py::init<>())
+        .def_readwrite("name", &Pet::name);
+
+Trying to set any other attribute results in an error:
+
+.. code-block:: pycon
+
+    >>> p = example.Pet()
+    >>> p.name = 'Charly'  # OK, attribute defined in C++
+    >>> p.age = 2  # fail
+    AttributeError: 'Pet' object has no attribute 'age'
+
+To enable dynamic attributes for C++ classes, the :class:`py::dynamic_attr` tag
+must be added to the :class:`py::class_` constructor:
+
+.. code-block:: cpp
+
+    py::class_<Pet>(m, "Pet", py::dynamic_attr())
+        .def(py::init<>())
+        .def_readwrite("name", &Pet::name);
+
+Now everything works as expected:
+
+.. code-block:: pycon
+
+    >>> p = example.Pet()
+    >>> p.name = 'Charly'  # OK, overwrite value in C++
+    >>> p.age = 2  # OK, dynamically add a new attribute
+    >>> p.__dict__  # just like a native Python class
+    {'age': 2}
+
+Note that there is a small runtime cost for a class with dynamic attributes.
+Not only because of the addition of a ``__dict__``, but also because of more
+expensive garbage collection tracking which must be activated to resolve
+possible circular references. Native Python classes incur this same cost by
+default, so this is not anything to worry about. By default, pybind11 classes
+are more efficient than native Python classes. Enabling dynamic attributes
+just brings them on par.
+
+.. _inheritance:
+
+Inheritance
+===========
+
+Suppose now that the example consists of two data structures with an
+inheritance relationship:
+
+.. code-block:: cpp
+
+    struct Pet {
+        Pet(const std::string &name) : name(name) { }
+        std::string name;
+    };
+
+    struct Dog : Pet {
+        Dog(const std::string &name) : Pet(name) { }
+        std::string bark() const { return "woof!"; }
+    };
+
+There are two different ways of indicating a hierarchical relationship to
+pybind11: the first specifies the C++ base class as an extra template
+parameter of the :class:`class_`:
+
+.. code-block:: cpp
+
+    py::class_<Pet>(m, "Pet")
+       .def(py::init<const std::string &>())
+       .def_readwrite("name", &Pet::name);
+
+    // Method 1: template parameter:
+    py::class_<Dog, Pet /* <- specify C++ parent type */>(m, "Dog")
+        .def(py::init<const std::string &>())
+        .def("bark", &Dog::bark);
+
+Alternatively, we can also assign a name to the previously bound ``Pet``
+:class:`class_` object and reference it when binding the ``Dog`` class:
+
+.. code-block:: cpp
+
+    py::class_<Pet> pet(m, "Pet");
+    pet.def(py::init<const std::string &>())
+       .def_readwrite("name", &Pet::name);
+
+    // Method 2: pass parent class_ object:
+    py::class_<Dog>(m, "Dog", pet /* <- specify Python parent type */)
+        .def(py::init<const std::string &>())
+        .def("bark", &Dog::bark);
+
+Functionality-wise, both approaches are equivalent. Afterwards, instances will
+expose fields and methods of both types:
+
+.. code-block:: pycon
+
+    >>> p = example.Dog('Molly')
+    >>> p.name
+    u'Molly'
+    >>> p.bark()
+    u'woof!'
+
+Overloaded methods
+==================
+
+Sometimes there are several overloaded C++ methods with the same name taking
+different kinds of input arguments:
+
+.. code-block:: cpp
+
+    struct Pet {
+        Pet(const std::string &name, int age) : name(name), age(age) { }
+
+        void set(int age) { age = age; }
+        void set(const std::string &name) { name = name; }
+
+        std::string name;
+        int age;
+    };
+
+Attempting to bind ``Pet::set`` will cause an error since the compiler does not
+know which method the user intended to select. We can disambiguate by casting
+them to function pointers. Binding multiple functions to the same Python name
+automatically creates a chain of function overloads that will be tried in
+sequence.
+
+.. code-block:: cpp
+
+    py::class_<Pet>(m, "Pet")
+       .def(py::init<const std::string &, int>())
+       .def("set", (void (Pet::*)(int)) &Pet::set, "Set the pet's age")
+       .def("set", (void (Pet::*)(const std::string &)) &Pet::set, "Set the pet's name");
+
+The overload signatures are also visible in the method's docstring:
+
+.. code-block:: pycon
+
+    >>> help(example.Pet)
+
+    class Pet(__builtin__.object)
+     |  Methods defined here:
+     |
+     |  __init__(...)
+     |      Signature : (Pet, str, int) -> NoneType
+     |
+     |  set(...)
+     |      1. Signature : (Pet, int) -> NoneType
+     |
+     |      Set the pet's age
+     |
+     |      2. Signature : (Pet, str) -> NoneType
+     |
+     |      Set the pet's name
+
+If you have a C++14 compatible compiler [#cpp14]_, you can use an alternative
+syntax to cast the overloaded function:
+
+.. code-block:: cpp
+
+    py::class_<Pet>(m, "Pet")
+        .def("set", py::overload_cast<int>(&Pet::set), "Set the pet's age")
+        .def("set", py::overload_cast<const std::string &>(&Pet::set), "Set the pet's name");
+
+Here, ``py::overload_cast`` only requires the parameter types to be specified.
+The return type and class are deduced. This avoids the additional noise of
+``void (Pet::*)()`` as seen in the raw cast. If a function is overloaded based
+on constness, the ``py::const_`` tag should be used:
+
+.. code-block:: cpp
+
+    struct Widget {
+        int foo(int x, float y);
+        int foo(int x, float y) const;
+    };
+
+    py::class_<Widget>(m, "Widget")
+       .def("foo_mutable", py::overload_cast<int, float>(&Widget::foo))
+       .def("foo_const",   py::overload_cast<int, float>(&Widget::foo, py::const_));
+
+
+.. [#cpp14] A compiler which supports the ``-std=c++14`` flag
+            or Visual Studio 2015 Update 2 and newer.
+
+.. note::
+
+    To define multiple overloaded constructors, simply declare one after the
+    other using the ``.def(py::init<...>())`` syntax. The existing machinery
+    for specifying keyword and default arguments also works.
+
+Enumerations and internal types
+===============================
+
+Let's now suppose that the example class contains an internal enumeration type,
+e.g.:
+
+.. code-block:: cpp
+
+    struct Pet {
+        enum Kind {
+            Dog = 0,
+            Cat
+        };
+
+        Pet(const std::string &name, Kind type) : name(name), type(type) { }
+
+        std::string name;
+        Kind type;
+    };
+
+The binding code for this example looks as follows:
+
+.. code-block:: cpp
+
+    py::class_<Pet> pet(m, "Pet");
+
+    pet.def(py::init<const std::string &, Pet::Kind>())
+        .def_readwrite("name", &Pet::name)
+        .def_readwrite("type", &Pet::type);
+
+    py::enum_<Pet::Kind>(pet, "Kind")
+        .value("Dog", Pet::Kind::Dog)
+        .value("Cat", Pet::Kind::Cat)
+        .export_values();
+
+To ensure that the ``Kind`` type is created within the scope of ``Pet``, the
+``pet`` :class:`class_` instance must be supplied to the :class:`enum_`.
+constructor. The :func:`enum_::export_values` function exports the enum entries
+into the parent scope, which should be skipped for newer C++11-style strongly
+typed enums.
+
+.. code-block:: pycon
+
+    >>> p = Pet('Lucy', Pet.Cat)
+    >>> p.type
+    Kind.Cat
+    >>> int(p.type)
+    1L
+
+
+.. note::
+
+    When the special tag ``py::arithmetic()`` is specified to the ``enum_``
+    constructor, pybind11 creates an enumeration that also supports rudimentary
+    arithmetic and bit-level operations like comparisons, and, or, xor, negation,
+    etc.
+
+    .. code-block:: cpp
+
+        py::enum_<Pet::Kind>(pet, "Kind", py::arithmetic())
+           ...
+
+    By default, these are omitted to conserve space.

ext/pybind11/docs/compiling.rst

@@ -0,0 +1,116 @@
+Build systems
+#############
+
+Building with setuptools
+========================
+
+For projects on PyPI, building with setuptools is the way to go. Sylvain Corlay
+has kindly provided an example project which shows how to set up everything,
+including automatic generation of documentation using Sphinx. Please refer to
+the [python_example]_ repository.
+
+.. [python_example] https://github.com/pybind/python_example
+
+Building with cppimport
+========================
+
+ cppimport is a small Python import hook that determines whether there is a C++
+ source file whose name matches the requested module. If there is, the file is
+ compiled as a Python extension using pybind11 and placed in the same folder as
+ the C++ source file. Python is then able to find the module and load it.
+
+.. [cppimport] https://github.com/tbenthompson/cppimport
+
+.. _cmake:
+
+Building with CMake
+===================
+
+For C++ codebases that have an existing CMake-based build system, a Python
+extension module can be created with just a few lines of code:
+
+.. code-block:: cmake
+
+    cmake_minimum_required(VERSION 2.8.12)
+    project(example)
+
+    add_subdirectory(pybind11)
+    pybind11_add_module(example example.cpp)
+
+This assumes that the pybind11 repository is located in a subdirectory named
+:file:`pybind11` and that the code is located in a file named :file:`example.cpp`.
+The CMake command ``add_subdirectory`` will import a function with the signature
+``pybind11_add_module(<name> source1 [source2 ...])``. It will take care of all
+the details needed to build a Python extension module on any platform.
+
+The target Python version can be selected by setting the ``PYBIND11_PYTHON_VERSION``
+variable before adding the pybind11 subdirectory. Alternatively, an exact Python
+installation can be specified by setting ``PYTHON_EXECUTABLE``.
+
+A working sample project, including a way to invoke CMake from :file:`setup.py` for
+PyPI integration, can be found in the [cmake_example]_  repository.
+
+.. [cmake_example] https://github.com/pybind/cmake_example
+
+For CMake-based projects that don't include the pybind11
+repository internally, an external installation can be detected
+through `find_package(pybind11 ... CONFIG ...)`. See the `Config file
+<https://github.com/pybind/pybind11/blob/master/tools/pybind11Config.cmake.in>`_
+docstring for details of relevant CMake variables.
+
+Once detected, and after setting any variables to guide Python and
+C++ standard detection, the aforementioned ``pybind11_add_module``
+wrapper to ``add_library`` can be employed as described above (after
+``include(pybind11Tools)``). This procedure is available when using CMake
+>= 2.8.12. A working example can be found at [test_installed_module]_ .
+
+.. code-block:: cmake
+
+    cmake_minimum_required(VERSION 2.8.12)
+    project(example)
+
+    find_package(pybind11 REQUIRED)
+    pybind11_add_module(example example.cpp)
+
+.. [test_installed_module] https://github.com/pybind/pybind11/blob/master/tests/test_installed_module/CMakeLists.txt
+
+When using a version of CMake greater than 3.0, pybind11 can
+additionally be used as a special *interface library* following the
+call to ``find_package``. CMake variables to guide Python and C++
+standard detection should be set *before* ``find_package``. When
+``find_package`` returns, the target ``pybind11::pybind11`` is
+available with pybind11 headers, Python headers and libraries as
+needed, and C++ compile definitions attached. This target is suitable
+for linking to an independently constructed (through ``add_library``,
+not ``pybind11_add_module``) target in the consuming project. A working
+example can be found at [test_installed_target]_ .
+
+.. code-block:: cmake
+
+    cmake_minimum_required(VERSION 3.0)
+    project(example)
+
+    add_library(example MODULE main.cpp)
+
+    find_package(pybind11 REQUIRED)
+    target_link_libraries(example PRIVATE pybind11::pybind11)
+    set_target_properties(example PROPERTIES PREFIX "${PYTHON_MODULE_PREFIX}"
+                                             SUFFIX "${PYTHON_MODULE_EXTENSION}")
+
+.. warning::
+
+    Since pybind11 is a metatemplate library, it is crucial that certain
+    compiler flags are provided to ensure high quality code generation. In
+    contrast to the ``pybind11_add_module()`` command, the CMake interface
+    library only provides the *minimal* set of parameters to ensure that the
+    code using pybind11 compiles, but it does **not** pass these extra compiler
+    flags (i.e. this is up to you).
+
+    These include Link Time Optimization (``-flto`` on GCC/Clang/ICPC, ``/GL``
+    and ``/LTCG`` on Visual Studio). Default-hidden symbols on GCC/Clang/ICPC
+    (``-fvisibility=hidden``) and .OBJ files with many sections on Visual Studio
+    (``/bigobj``). The :ref:`FAQ <faq:symhidden>` contains an
+    explanation on why these are needed.
+
+.. [test_installed_target] https://github.com/pybind/pybind11/blob/master/tests/test_installed_target/CMakeLists.txt
+

ext/pybind11/docs/conf.py

@@ -0,0 +1,308 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+#
+# pybind11 documentation build configuration file, created by
+# sphinx-quickstart on Sun Oct 11 19:23:48 2015.
+#
+# This file is execfile()d with the current directory set to its
+# containing dir.
+#
+# Note that not all possible configuration values are present in this
+# autogenerated file.
+#
+# All configuration values have a default; values that are commented out
+# serve to show the default.
+
+import sys
+import os
+import shlex
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#sys.path.insert(0, os.path.abspath('.'))
+
+# -- General configuration ------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = []
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['.templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The encoding of source files.
+#source_encoding = 'utf-8-sig'
+
+# The master toctree document.
+master_doc = 'index'
+
+# General information about the project.
+project = 'pybind11'
+copyright = '2015, Wenzel Jakob'
+author = 'Wenzel Jakob'
+
+# The version info for the project you're documenting, acts as replacement for
+# |version| and |release|, also used in various other places throughout the
+# built documents.
+#
+# The short X.Y version.
+version = '1.9'
+# The full version, including alpha/beta/rc tags.
+release = '1.9.dev0'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# There are two options for replacing |today|: either, you set today to some
+# non-false value, then it is used:
+#today = ''
+# Else, today_fmt is used as the format for a strftime call.
+#today_fmt = '%B %d, %Y'
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+exclude_patterns = ['.build', 'release.rst']
+
+# The reST default role (used for this markup: `text`) to use for all
+# documents.
+#default_role = None
+
+# If true, '()' will be appended to :func: etc. cross-reference text.
+#add_function_parentheses = True
+
+# If true, the current module name will be prepended to all description
+# unit titles (such as .. function::).
+#add_module_names = True
+
+# If true, sectionauthor and moduleauthor directives will be shown in the
+# output. They are ignored by default.
+#show_authors = False
+
+# The name of the Pygments (syntax highlighting) style to use.
+#pygments_style = 'monokai'
+
+# A list of ignored prefixes for module index sorting.
+#modindex_common_prefix = []
+
+# If true, keep warnings as "system message" paragraphs in the built documents.
+#keep_warnings = False
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = False
+
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+
+on_rtd = os.environ.get('READTHEDOCS', None) == 'True'
+
+if not on_rtd:  # only import and set the theme if we're building docs locally
+    import sphinx_rtd_theme
+    html_theme = 'sphinx_rtd_theme'
+    html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
+
+    html_context = {
+        'css_files': [
+            '_static/theme_overrides.css'
+        ]
+    }
+else:
+    html_context = {
+        'css_files': [
+            '//media.readthedocs.org/css/sphinx_rtd_theme.css',            
+            '//media.readthedocs.org/css/readthedocs-doc-embed.css',    
+            '_static/theme_overrides.css'
+        ]
+    }
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#html_theme_options = {}
+
+# Add any paths that contain custom themes here, relative to this directory.
+#html_theme_path = []
+
+# The name for this set of Sphinx documents.  If None, it defaults to
+# "<project> v<release> documentation".
+#html_title = None
+
+# A shorter title for the navigation bar.  Default is the same as html_title.
+#html_short_title = None
+
+# The name of an image file (relative to this directory) to place at the top
+# of the sidebar.
+#html_logo = None
+
+# The name of an image file (within the static path) to use as favicon of the
+# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
+# pixels large.
+#html_favicon = None
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+# Add any extra paths that contain custom files (such as robots.txt or
+# .htaccess) here, relative to this directory. These files are copied
+# directly to the root of the documentation.
+#html_extra_path = []
+
+# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
+# using the given strftime format.
+#html_last_updated_fmt = '%b %d, %Y'
+
+# If true, SmartyPants will be used to convert quotes and dashes to
+# typographically correct entities.
+#html_use_smartypants = True
+
+# Custom sidebar templates, maps document names to template names.
+#html_sidebars = {}
+
+# Additional templates that should be rendered to pages, maps page names to
+# template names.
+#html_additional_pages = {}
+
+# If false, no module index is generated.
+#html_domain_indices = True
+
+# If false, no index is generated.
+#html_use_index = True
+
+# If true, the index is split into individual pages for each letter.
+#html_split_index = False
+
+# If true, links to the reST sources are added to the pages.
+#html_show_sourcelink = True
+
+# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
+#html_show_sphinx = True
+
+# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
+#html_show_copyright = True
+
+# If true, an OpenSearch description file will be output, and all pages will
+# contain a <link> tag referring to it.  The value of this option must be the
+# base URL from which the finished HTML is served.
+#html_use_opensearch = ''
+
+# This is the file name suffix for HTML files (e.g. ".xhtml").
+#html_file_suffix = None
+
+# Language to be used for generating the HTML full-text search index.
+# Sphinx supports the following languages:
+#   'da', 'de', 'en', 'es', 'fi', 'fr', 'h', 'it', 'ja'
+#   'nl', 'no', 'pt', 'ro', 'r', 'sv', 'tr'
+#html_search_language = 'en'
+
+# A dictionary with options for the search language support, empty by default.
+# Now only 'ja' uses this config value
+#html_search_options = {'type': 'default'}
+
+# The name of a javascript file (relative to the configuration directory) that
+# implements a search results scorer. If empty, the default will be used.
+#html_search_scorer = 'scorer.js'
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'pybind11doc'
+
+# -- Options for LaTeX output ---------------------------------------------
+
+latex_elements = {
+# The paper size ('letterpaper' or 'a4paper').
+#'papersize': 'letterpaper',
+
+# The font size ('10pt', '11pt' or '12pt').
+#'pointsize': '10pt',
+
+# Additional stuff for the LaTeX preamble.
+'preamble': '\DeclareUnicodeCharacter{00A0}{}',
+
+# Latex figure (float) alignment
+#'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+  (master_doc, 'pybind11.tex', 'pybind11 Documentation',
+   'Wenzel Jakob', 'manual'),
+]
+
+# The name of an image file (relative to this directory) to place at the top of
+# the title page.
+# latex_logo = 'pybind11-logo.png'
+
+# For "manual" documents, if this is true, then toplevel headings are parts,
+# not chapters.
+#latex_use_parts = False
+
+# If true, show page references after internal links.
+#latex_show_pagerefs = False
+
+# If true, show URL addresses after external links.
+#latex_show_urls = False
+
+# Documents to append as an appendix to all manuals.
+#latex_appendices = []
+
+# If false, no module index is generated.
+#latex_domain_indices = True
+
+
+# -- Options for manual page output ---------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (master_doc, 'pybind11', 'pybind11 Documentation',
+     [author], 1)
+]
+
+# If true, show URL addresses after external links.
+#man_show_urls = False
+
+
+# -- Options for Texinfo output -------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+  (master_doc, 'pybind11', 'pybind11 Documentation',
+   author, 'pybind11', 'One line description of project.',
+   'Miscellaneous'),
+]
+
+# Documents to append as an appendix to all manuals.
+#texinfo_appendices = []
+
+# If false, no module index is generated.
+#texinfo_domain_indices = True
+
+# How to display URL addresses: 'footnote', 'no', or 'inline'.
+#texinfo_show_urls = 'footnote'
+
+# If true, do not generate a @detailmenu in the "Top" node's menu.
+#texinfo_no_detailmenu = False
+
+primary_domain = 'cpp'
+highlight_language = 'cpp'

ext/pybind11/docs/faq.rst

@@ -0,0 +1,253 @@
+Frequently asked questions
+##########################
+
+"ImportError: dynamic module does not define init function"
+===========================================================
+
+1. Make sure that the name specified in ``pybind::module`` and
+   ``PYBIND11_PLUGIN`` is consistent and identical to the filename of the
+   extension library. The latter should not contain any extra prefixes (e.g.
+   ``test.so`` instead of ``libtest.so``).
+
+2. If the above did not fix your issue, then you are likely using an
+   incompatible version of Python (for instance, the extension library was
+   compiled against Python 2, while the interpreter is running on top of some
+   version of Python 3, or vice versa)
+
+"Symbol not found: ``__Py_ZeroStruct`` / ``_PyInstanceMethod_Type``"
+========================================================================
+
+See item 2 of the first answer.
+
+"SystemError: dynamic module not initialized properly"
+======================================================
+
+See item 2 of the first answer.
+
+The Python interpreter immediately crashes when importing my module
+===================================================================
+
+See item 2 of the first answer.
+
+CMake doesn't detect the right Python version
+=============================================
+
+The CMake-based build system will try to automatically detect the installed
+version of Python and link against that. When this fails, or when there are
+multiple versions of Python and it finds the wrong one, delete
+``CMakeCache.txt`` and then invoke CMake as follows:
+
+.. code-block:: bash
+
+    cmake -DPYTHON_EXECUTABLE:FILEPATH=<path-to-python-executable> .
+
+Limitations involving reference arguments
+=========================================
+
+In C++, it's fairly common to pass arguments using mutable references or
+mutable pointers, which allows both read and write access to the value
+supplied by the caller. This is sometimes done for efficiency reasons, or to
+realize functions that have multiple return values. Here are two very basic
+examples:
+
+.. code-block:: cpp
+
+    void increment(int &i) { i++; }
+    void increment_ptr(int *i) { (*i)++; }
+
+In Python, all arguments are passed by reference, so there is no general
+issue in binding such code from Python.
+
+However, certain basic Python types (like ``str``, ``int``, ``bool``,
+``float``, etc.) are **immutable**. This means that the following attempt
+to port the function to Python doesn't have the same effect on the value
+provided by the caller -- in fact, it does nothing at all.
+
+.. code-block:: python
+
+    def increment(i):
+        i += 1 # nope..
+
+pybind11 is also affected by such language-level conventions, which means that
+binding ``increment`` or ``increment_ptr`` will also create Python functions
+that don't modify their arguments.
+
+Although inconvenient, one workaround is to encapsulate the immutable types in
+a custom type that does allow modifications.
+
+An other alternative involves binding a small wrapper lambda function that
+returns a tuple with all output arguments (see the remainder of the
+documentation for examples on binding lambda functions). An example:
+
+.. code-block:: cpp
+
+    int foo(int &i) { i++; return 123; }
+
+and the binding code
+
+.. code-block:: cpp
+
+   m.def("foo", [](int i) { int rv = foo(i); return std::make_tuple(rv, i); });
+
+
+How can I reduce the build time?
+================================
+
+It's good practice to split binding code over multiple files, as in the
+following example:
+
+:file:`example.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex1(py::module &);
+    void init_ex2(py::module &);
+    /* ... */
+
+    PYBIND11_PLUGIN(example) {
+        py::module m("example", "pybind example plugin");
+
+        init_ex1(m);
+        init_ex2(m);
+        /* ... */
+
+        return m.ptr();
+    }
+
+:file:`ex1.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex1(py::module &m) {
+        m.def("add", [](int a, int b) { return a + b; });
+    }
+
+:file:`ex2.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex1(py::module &m) {
+        m.def("sub", [](int a, int b) { return a - b; });
+    }
+
+:command:`python`:
+
+.. code-block:: pycon
+
+    >>> import example
+    >>> example.add(1, 2)
+    3
+    >>> example.sub(1, 1)
+    0
+
+As shown above, the various ``init_ex`` functions should be contained in
+separate files that can be compiled independently from one another, and then
+linked together into the same final shared object.  Following this approach
+will:
+
+1. reduce memory requirements per compilation unit.
+
+2. enable parallel builds (if desired).
+
+3. allow for faster incremental builds. For instance, when a single class
+   definition is changed, only a subset of the binding code will generally need
+   to be recompiled.
+
+"recursive template instantiation exceeded maximum depth of 256"
+================================================================
+
+If you receive an error about excessive recursive template evaluation, try
+specifying a larger value, e.g. ``-ftemplate-depth=1024`` on GCC/Clang. The
+culprit is generally the generation of function signatures at compile time
+using C++14 template metaprogramming.
+
+
+.. _`faq:symhidden`:
+
+How can I create smaller binaries?
+==================================
+
+To do its job, pybind11 extensively relies on a programming technique known as
+*template metaprogramming*, which is a way of performing computation at compile
+time using type information. Template metaprogamming usually instantiates code
+involving significant numbers of deeply nested types that are either completely
+removed or reduced to just a few instructions during the compiler's optimization
+phase. However, due to the nested nature of these types, the resulting symbol
+names in the compiled extension library can be extremely long. For instance,
+the included test suite contains the following symbol:
+
+.. only:: html
+
+    .. code-block:: none
+
+        _​_​Z​N​8​p​y​b​i​n​d​1​1​1​2​c​p​p​_​f​u​n​c​t​i​o​n​C​1​I​v​8​E​x​a​m​p​l​e​2​J​R​N​S​t​3​_​_​1​6​v​e​c​t​o​r​I​N​S​3​_​1​2​b​a​s​i​c​_​s​t​r​i​n​g​I​w​N​S​3​_​1​1​c​h​a​r​_​t​r​a​i​t​s​I​w​E​E​N​S​3​_​9​a​l​l​o​c​a​t​o​r​I​w​E​E​E​E​N​S​8​_​I​S​A​_​E​E​E​E​E​J​N​S​_​4​n​a​m​e​E​N​S​_​7​s​i​b​l​i​n​g​E​N​S​_​9​i​s​_​m​e​t​h​o​d​E​A​2​8​_​c​E​E​E​M​T​0​_​F​T​_​D​p​T​1​_​E​D​p​R​K​T​2​_
+
+.. only:: not html
+
+    .. code-block:: cpp
+
+        __ZN8pybind1112cpp_functionC1Iv8Example2JRNSt3__16vectorINS3_12basic_stringIwNS3_11char_traitsIwEENS3_9allocatorIwEEEENS8_ISA_EEEEEJNS_4nameENS_7siblingENS_9is_methodEA28_cEEEMT0_FT_DpT1_EDpRKT2_
+
+which is the mangled form of the following function type:
+
+.. code-block:: cpp
+
+    pybind11::cpp_function::cpp_function<void, Example2, std::__1::vector<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> >, std::__1::allocator<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> > > >&, pybind11::name, pybind11::sibling, pybind11::is_method, char [28]>(void (Example2::*)(std::__1::vector<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> >, std::__1::allocator<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> > > >&), pybind11::name const&, pybind11::sibling const&, pybind11::is_method const&, char const (&) [28])
+
+The memory needed to store just the mangled name of this function (196 bytes)
+is larger than the actual piece of code (111 bytes) it represents! On the other
+hand, it's silly to even give this function a name -- after all, it's just a
+tiny cog in a bigger piece of machinery that is not exposed to the outside
+world. So we'll generally only want to export symbols for those functions which
+are actually called from the outside.
+
+This can be achieved by specifying the parameter ``-fvisibility=hidden`` to GCC
+and Clang, which sets the default symbol visibility to *hidden*. It's best to
+do this only for release builds, since the symbol names can be helpful in
+debugging sessions. On Visual Studio, symbols are already hidden by default, so
+nothing needs to be done there. Needless to say, this has a tremendous impact
+on the final binary size of the resulting extension library.
+
+Another aspect that can require a fair bit of code are function signature
+descriptions. pybind11 automatically generates human-readable function
+signatures for docstrings, e.g.:
+
+.. code-block:: none
+
+     |  __init__(...)
+     |      __init__(*args, **kwargs)
+     |      Overloaded function.
+     |
+     |      1. __init__(example.Example1) -> NoneType
+     |
+     |      Docstring for overload #1 goes here
+     |
+     |      2. __init__(example.Example1, int) -> NoneType
+     |
+     |      Docstring for overload #2 goes here
+     |
+     |      3. __init__(example.Example1, example.Example1) -> NoneType
+     |
+     |      Docstring for overload #3 goes here
+
+
+In C++11 mode, these are generated at run time using string concatenation,
+which can amount to 10-20% of the size of the resulting binary. If you can,
+enable C++14 language features (using ``-std=c++14`` for GCC/Clang), in which
+case signatures are efficiently pre-generated at compile time. Unfortunately,
+Visual Studio's C++14 support (``constexpr``) is not good enough as of April
+2016, so it always uses the more expensive run-time approach.
+
+Working with ancient Visual Studio 2009 builds on Windows
+=========================================================
+
+The official Windows distributions of Python are compiled using truly
+ancient versions of Visual Studio that lack good C++11 support. Some users
+implicitly assume that it would be impossible to load a plugin built with
+Visual Studio 2015 into a Python distribution that was compiled using Visual
+Studio 2009. However, no such issue exists: it's perfectly legitimate to
+interface DLLs that are built with different compilers and/or C libraries.
+Common gotchas to watch out for involve not ``free()``-ing memory region
+that that were ``malloc()``-ed in another shared library, using data
+structures with incompatible ABIs, and so on. pybind11 is very careful not
+to make these types of mistakes.

ext/pybind11/docs/index.rst

@@ -0,0 +1,45 @@
+.. only: not latex
+
+    .. image:: pybind11-logo.png
+
+pybind11 --- Seamless operability between C++11 and Python
+==========================================================
+
+.. only: not latex
+
+    Contents:
+
+.. toctree::
+   :maxdepth: 1
+
+   intro
+   changelog
+
+.. toctree::
+   :caption: The Basics
+   :maxdepth: 2
+
+   basics
+   classes
+   compiling
+
+.. toctree::
+   :caption: Advanced Topics
+   :maxdepth: 2
+
+   advanced/functions
+   advanced/classes
+   advanced/exceptions
+   advanced/smart_ptrs
+   advanced/cast/index
+   advanced/pycpp/index
+   advanced/misc
+
+.. toctree::
+   :caption: Extra Information
+   :maxdepth: 1
+
+   faq
+   benchmark
+   limitations
+   reference

ext/pybind11/docs/intro.rst

@@ -0,0 +1,93 @@
+.. image:: pybind11-logo.png
+
+About this project
+==================
+**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`_ library by David
+Abrahams: to minimize boilerplate code in traditional extension modules by
+inferring type information using compile-time introspection.
+
+.. _Boost.Python: http://www.boost.org/doc/libs/release/libs/python/doc/index.html
+
+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 ~2.5K lines of code and depend on
+Python (2.7 or 3.x) 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.
+
+Core features
+*************
+The following core C++ features can be mapped 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
+- Iterators and ranges
+- 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:
+
+- 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 a binary
+  size reduction of **5.4x** and compile time reduction by **5.8x**.
+
+- When supported by the compiler, two new C++14 features (relaxed constexpr and
+  return value deduction) are used to precompute function signatures at compile
+  time, leading to smaller binaries.
+
+- With little extra effort, C++ types can be pickled and unpickled similar to
+  regular Python objects.
+
+.. _PyRosetta: http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf
+
+Supported compilers
+*******************
+
+1. Clang/LLVM (any non-ancient version with C++11 support)
+2. GCC (any non-ancient version with C++11 support)
+3. Microsoft Visual Studio 2015 or newer
+4. Intel C++ compiler v15 or newer

ext/pybind11/docs/limitations.rst

@@ -0,0 +1,20 @@
+Limitations
+###########
+
+pybind11 strives to be a general solution to binding generation, but it also has
+certain limitations:
+
+- pybind11 casts away ``const``-ness in function arguments and return values.
+  This is in line with the Python language, which has no concept of ``const``
+  values. This means that some additional care is needed to avoid bugs that
+  would be caught by the type checker in a traditional C++ program.
+
+- The NumPy interface ``pybind11::array`` greatly simplifies accessing
+  numerical data from C++ (and vice versa), but it's not a full-blown array
+  class like ``Eigen::Array`` or ``boost.multi_array``.
+
+These features could be implemented but would lead to a significant increase in
+complexity. I've decided to draw the line here to keep this project simple and
+compact. Users who absolutely require these features are encouraged to fork
+pybind11.
+

ext/pybind11/docs/pybind11_vs_boost_python1.svg

@@ -0,0 +1,427 @@
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ext/pybind11/docs/reference.rst

@@ -0,0 +1,247 @@
+.. _reference:
+
+.. warning::
+
+    Please be advised that the reference documentation discussing pybind11
+    internals is currently incomplete. Please refer to the previous sections
+    and the pybind11 header files for the nitty gritty details.
+
+Reference
+#########
+
+Macros
+======
+
+.. function:: PYBIND11_PLUGIN(const char *name)
+
+    This macro creates the entry point that will be invoked when the Python
+    interpreter imports a plugin library. Please create a
+    :class:`module` in the function body and return the pointer to its
+    underlying Python object at the end.
+
+    .. code-block:: cpp
+
+        PYBIND11_PLUGIN(example) {
+            pybind11::module m("example", "pybind11 example plugin");
+            /// Set up bindings here
+            return m.ptr();
+        }
+
+.. _core_types:
+
+Convenience classes for arbitrary Python types
+==============================================
+
+Without reference counting
+--------------------------
+
+.. class:: handle
+
+    The :class:`handle` class is a thin wrapper around an arbitrary Python
+    object (i.e. a ``PyObject *`` in Python's C API). It does not perform any
+    automatic reference counting and merely provides a basic C++ interface to
+    various Python API functions.
+
+.. seealso::
+
+    The :class:`object` class inherits from :class:`handle` and adds automatic
+    reference counting features.
+
+.. function:: handle::handle()
+
+    The default constructor creates a handle with a ``nullptr``-valued pointer.
+
+.. function:: handle::handle(const handle&)
+
+    Copy constructor
+
+.. function:: handle::handle(PyObject *)
+
+    Creates a :class:`handle` from the given raw Python object pointer.
+
+.. function:: PyObject * handle::ptr() const
+
+    Return the ``PyObject *`` underlying a :class:`handle`.
+
+.. function:: const handle& handle::inc_ref() const
+
+    Manually increase the reference count of the Python object. Usually, it is
+    preferable to use the :class:`object` class which derives from
+    :class:`handle` and calls this function automatically. Returns a reference
+    to itself.
+
+.. function:: const handle& handle::dec_ref() const
+
+    Manually decrease the reference count of the Python object. Usually, it is
+    preferable to use the :class:`object` class which derives from
+    :class:`handle` and calls this function automatically. Returns a reference
+    to itself.
+
+.. function:: void handle::ref_count() const
+
+    Return the object's current reference count
+
+.. function:: handle handle::get_type() const
+
+    Return a handle to the Python type object underlying the instance
+
+.. function detail::accessor handle::operator[](handle key) const
+
+    Return an internal functor to invoke the object's sequence protocol.
+    Casting the returned ``detail::accessor`` instance to a :class:`handle` or
+    :class:`object` subclass causes a corresponding call to ``__getitem__``.
+    Assigning a :class:`handle` or :class:`object` subclass causes a call to
+    ``__setitem__``.
+
+.. function detail::accessor handle::operator[](const char *key) const
+
+    See the above function (the only difference is that they key is provided as
+    a string literal).
+
+.. function detail::accessor handle::attr(handle key) const
+
+    Return an internal functor to access the object's attributes.
+    Casting the returned ``detail::accessor`` instance to a :class:`handle` or
+    :class:`object` subclass causes a corresponding call to ``__getattr``.
+    Assigning a :class:`handle` or :class:`object` subclass causes a call to
+    ``__setattr``.
+
+.. function detail::accessor handle::attr(const char *key) const
+
+    See the above function (the only difference is that they key is provided as
+    a string literal).
+
+.. function operator handle::bool() const
+
+    Return ``true`` when the :class:`handle` wraps a valid Python object.
+
+.. function str handle::str() const
+
+    Return a string representation of the object. This is analogous to
+    the ``str()`` function in Python.
+
+.. function:: template <typename T> T handle::cast() const
+
+    Attempt to cast the Python object into the given C++ type. A
+    :class:`cast_error` will be throw upon failure.
+
+.. function:: template <typename ... Args> object handle::call(Args&&... args) const
+
+    Assuming the Python object is a function or implements the ``__call__``
+    protocol, ``call()`` invokes the underlying function, passing an arbitrary
+    set of parameters. The result is returned as a :class:`object` and may need
+    to be converted back into a Python object using :func:`handle::cast`.
+
+    When some of the arguments cannot be converted to Python objects, the
+    function will throw a :class:`cast_error` exception. When the Python
+    function call fails, a :class:`error_already_set` exception is thrown.
+
+With reference counting
+-----------------------
+
+.. class:: object : public handle
+
+    Like :class:`handle`, the object class is a thin wrapper around an
+    arbitrary Python object (i.e. a ``PyObject *`` in Python's C API). In
+    contrast to :class:`handle`, it optionally increases the object's reference
+    count upon construction, and it *always* decreases the reference count when
+    the :class:`object` instance goes out of scope and is destructed. When
+    using :class:`object` instances consistently, it is much easier to get
+    reference counting right at the first attempt.
+
+.. function:: object::object(const object &o)
+
+    Copy constructor; always increases the reference count
+
+.. function:: object::object(const handle &h, bool borrowed)
+
+    Creates a :class:`object` from the given :class:`handle`. The reference
+    count is only increased if the ``borrowed`` parameter is set to ``true``.
+
+.. function:: object::object(PyObject *ptr, bool borrowed)
+
+    Creates a :class:`object` from the given raw Python object pointer. The
+    reference  count is only increased if the ``borrowed`` parameter is set to
+    ``true``.
+
+.. function:: object::object(object &&other)
+
+    Move constructor; steals the object from ``other`` and preserves its
+    reference count.
+
+.. function:: handle object::release()
+
+    Resets the internal pointer to ``nullptr`` without without decreasing the
+    object's reference count. The function returns a raw handle to the original
+    Python object.
+
+.. function:: object::~object()
+
+    Destructor, which automatically calls :func:`handle::dec_ref()`.
+
+Convenience classes for specific Python types
+=============================================
+
+
+.. class:: module : public object
+
+.. function:: module::module(const char *name, const char *doc = nullptr)
+
+    Create a new top-level Python module with the given name and docstring
+
+.. function:: module module::def_submodule(const char *name, const char *doc = nullptr)
+
+    Create and return a new Python submodule with the given name and docstring.
+    This also works recursively, i.e.
+
+    .. code-block:: cpp
+
+        pybind11::module m("example", "pybind11 example plugin");
+        pybind11::module m2 = m.def_submodule("sub", "A submodule of 'example'");
+        pybind11::module m3 = m2.def_submodule("subsub", "A submodule of 'example.sub'");
+
+.. cpp:function:: template <typename Func, typename ... Extra> module& module::def(const char *name, Func && f, Extra && ... extra)
+
+    Create Python binding for a new function within the module scope. ``Func``
+    can be a plain C++ function, a function pointer, or a lambda function. For
+    details on the ``Extra&& ... extra`` argument, see section :ref:`extras`.
+
+.. _extras:
+
+Passing extra arguments to the def function
+===========================================
+
+.. class:: arg
+
+.. function:: arg::arg(const char *name)
+
+.. function:: template <typename T> arg_v arg::operator=(T &&value)
+
+.. class:: arg_v : public arg
+
+    Represents a named argument with a default value
+
+.. class:: sibling
+
+    Used to specify a handle to an existing sibling function; used internally
+    to implement function overloading in :func:`module::def` and
+    :func:`class_::def`.
+
+.. function:: sibling::sibling(handle handle)
+
+.. class doc
+
+    This is class is internally used by pybind11.
+
+.. function:: doc::doc(const char *value)
+
+    Create a new docstring with the specified value
+
+.. class name
+
+    This is class is internally used by pybind11.
+
+.. function:: name::name(const char *value)
+
+    Used to specify the function name
+

ext/pybind11/docs/release.rst

@@ -0,0 +1,22 @@
+To release a new version of pybind11:
+
+- Update the version number and push to pypi
+    - Update ``pybind11/_version.py`` (set release version, remove 'dev')
+    - Update version in ``docs/conf.py``
+    - Tag release date in ``docs/changelog.rst``.
+    - ``git add`` and ``git commit``.
+    - if new minor version: ``git checkout -b vX.Y``, ``git push -u origin vX.Y``
+    - ``git tag -a vX.Y.Z -m 'vX.Y.Z release'``.
+    - ``git push``
+    - ``git push --tags``.
+    - ``python setup.py sdist upload``.
+    - ``python setup.py bdist_wheel upload``.
+- Update conda-forge (https://github.com/conda-forge/pybind11-feedstock) via PR
+    - change version number in ``recipe/meta.yml``
+    - update checksum to match the one computed by pypi
+- Get back to work
+    - Update ``_version.py`` (add 'dev' and increment minor).
+    - Update version in ``docs/conf.py``
+    - Update version macros in ``include/pybind11/common.h``
+    - ``git add`` and ``git commit``.
+      ``git push``

ext/pybind11/include/pybind11/attr.h

@@ -0,0 +1,362 @@
+/*
+    pybind11/pybind11.h: Infrastructure for processing custom
+    type and function attributes
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "cast.h"
+
+NAMESPACE_BEGIN(pybind11)
+
+/// Annotation for methods
+struct is_method { handle class_; is_method(const handle &c) : class_(c) { } };
+
+/// Annotation for operators
+struct is_operator { };
+
+/// Annotation for parent scope
+struct scope { handle value; scope(const handle &s) : value(s) { } };
+
+/// Annotation for documentation
+struct doc { const char *value; doc(const char *value) : value(value) { } };
+
+/// Annotation for function names
+struct name { const char *value; name(const char *value) : value(value) { } };
+
+/// Annotation indicating that a function is an overload associated with a given "sibling"
+struct sibling { handle value; sibling(const handle &value) : value(value.ptr()) { } };
+
+/// Annotation indicating that a class derives from another given type
+template <typename T> struct base {
+    PYBIND11_DEPRECATED("base<T>() was deprecated in favor of specifying 'T' as a template argument to class_")
+    base() { }
+};
+
+/// Keep patient alive while nurse lives
+template <int Nurse, int Patient> struct keep_alive { };
+
+/// Annotation indicating that a class is involved in a multiple inheritance relationship
+struct multiple_inheritance { };
+
+/// Annotation which enables dynamic attributes, i.e. adds `__dict__` to a class
+struct dynamic_attr { };
+
+/// Annotation to mark enums as an arithmetic type
+struct arithmetic { };
+
+NAMESPACE_BEGIN(detail)
+/* Forward declarations */
+enum op_id : int;
+enum op_type : int;
+struct undefined_t;
+template <op_id id, op_type ot, typename L = undefined_t, typename R = undefined_t> struct op_;
+template <typename... Args> struct init;
+template <typename... Args> struct init_alias;
+inline void keep_alive_impl(int Nurse, int Patient, handle args, handle ret);
+
+/// Internal data structure which holds metadata about a keyword argument
+struct argument_record {
+    const char *name;  ///< Argument name
+    const char *descr; ///< Human-readable version of the argument value
+    handle value;      ///< Associated Python object
+
+    argument_record(const char *name, const char *descr, handle value)
+        : name(name), descr(descr), value(value) { }
+};
+
+/// Internal data structure which holds metadata about a bound function (signature, overloads, etc.)
+struct function_record {
+    function_record()
+        : is_constructor(false), is_stateless(false), is_operator(false),
+          has_args(false), has_kwargs(false), is_method(false) { }
+
+    /// Function name
+    char *name = nullptr; /* why no C++ strings? They generate heavier code.. */
+
+    // User-specified documentation string
+    char *doc = nullptr;
+
+    /// Human-readable version of the function signature
+    char *signature = nullptr;
+
+    /// List of registered keyword arguments
+    std::vector<argument_record> args;
+
+    /// Pointer to lambda function which converts arguments and performs the actual call
+    handle (*impl) (function_record *, handle, handle, handle) = nullptr;
+
+    /// Storage for the wrapped function pointer and captured data, if any
+    void *data[3] = { };
+
+    /// Pointer to custom destructor for 'data' (if needed)
+    void (*free_data) (function_record *ptr) = nullptr;
+
+    /// Return value policy associated with this function
+    return_value_policy policy = return_value_policy::automatic;
+
+    /// True if name == '__init__'
+    bool is_constructor : 1;
+
+    /// True if this is a stateless function pointer
+    bool is_stateless : 1;
+
+    /// True if this is an operator (__add__), etc.
+    bool is_operator : 1;
+
+    /// True if the function has a '*args' argument
+    bool has_args : 1;
+
+    /// True if the function has a '**kwargs' argument
+    bool has_kwargs : 1;
+
+    /// True if this is a method
+    bool is_method : 1;
+
+    /// Number of arguments
+    uint16_t nargs;
+
+    /// Python method object
+    PyMethodDef *def = nullptr;
+
+    /// Python handle to the parent scope (a class or a module)
+    handle scope;
+
+    /// Python handle to the sibling function representing an overload chain
+    handle sibling;
+
+    /// Pointer to next overload
+    function_record *next = nullptr;
+};
+
+/// Special data structure which (temporarily) holds metadata about a bound class
+struct type_record {
+    PYBIND11_NOINLINE type_record() { }
+
+    /// Handle to the parent scope
+    handle scope;
+
+    /// Name of the class
+    const char *name = nullptr;
+
+    // Pointer to RTTI type_info data structure
+    const std::type_info *type = nullptr;
+
+    /// How large is the underlying C++ type?
+    size_t type_size = 0;
+
+    /// How large is pybind11::instance<type>?
+    size_t instance_size = 0;
+
+    /// Function pointer to class_<..>::init_holder
+    void (*init_holder)(PyObject *, const void *) = nullptr;
+
+    /// Function pointer to class_<..>::dealloc
+    void (*dealloc)(PyObject *) = nullptr;
+
+    /// List of base classes of the newly created type
+    list bases;
+
+    /// Optional docstring
+    const char *doc = nullptr;
+
+    /// Multiple inheritance marker
+    bool multiple_inheritance = false;
+
+    /// Does the class manage a __dict__?
+    bool dynamic_attr = false;
+
+    PYBIND11_NOINLINE void add_base(const std::type_info *base, void *(*caster)(void *)) {
+        auto base_info = detail::get_type_info(*base, false);
+        if (!base_info) {
+            std::string tname(base->name());
+            detail::clean_type_id(tname);
+            pybind11_fail("generic_type: type \"" + std::string(name) +
+                          "\" referenced unknown base type \"" + tname + "\"");
+        }
+
+        bases.append((PyObject *) base_info->type);
+
+        if (base_info->type->tp_dictoffset != 0)
+            dynamic_attr = true;
+
+        if (caster)
+            base_info->implicit_casts.push_back(std::make_pair(type, caster));
+    }
+};
+
+/**
+ * Partial template specializations to process custom attributes provided to
+ * cpp_function_ and class_. These are either used to initialize the respective
+ * fields in the type_record and function_record data structures or executed at
+ * runtime to deal with custom call policies (e.g. keep_alive).
+ */
+template <typename T, typename SFINAE = void> struct process_attribute;
+
+template <typename T> struct process_attribute_default {
+    /// Default implementation: do nothing
+    static void init(const T &, function_record *) { }
+    static void init(const T &, type_record *) { }
+    static void precall(handle) { }
+    static void postcall(handle, handle) { }
+};
+
+/// Process an attribute specifying the function's name
+template <> struct process_attribute<name> : process_attribute_default<name> {
+    static void init(const name &n, function_record *r) { r->name = const_cast<char *>(n.value); }
+};
+
+/// Process an attribute specifying the function's docstring
+template <> struct process_attribute<doc> : process_attribute_default<doc> {
+    static void init(const doc &n, function_record *r) { r->doc = const_cast<char *>(n.value); }
+};
+
+/// Process an attribute specifying the function's docstring (provided as a C-style string)
+template <> struct process_attribute<const char *> : process_attribute_default<const char *> {
+    static void init(const char *d, function_record *r) { r->doc = const_cast<char *>(d); }
+    static void init(const char *d, type_record *r) { r->doc = const_cast<char *>(d); }
+};
+template <> struct process_attribute<char *> : process_attribute<const char *> { };
+
+/// Process an attribute indicating the function's return value policy
+template <> struct process_attribute<return_value_policy> : process_attribute_default<return_value_policy> {
+    static void init(const return_value_policy &p, function_record *r) { r->policy = p; }
+};
+
+/// Process an attribute which indicates that this is an overloaded function associated with a given sibling
+template <> struct process_attribute<sibling> : process_attribute_default<sibling> {
+    static void init(const sibling &s, function_record *r) { r->sibling = s.value; }
+};
+
+/// Process an attribute which indicates that this function is a method
+template <> struct process_attribute<is_method> : process_attribute_default<is_method> {
+    static void init(const is_method &s, function_record *r) { r->is_method = true; r->scope = s.class_; }
+};
+
+/// Process an attribute which indicates the parent scope of a method
+template <> struct process_attribute<scope> : process_attribute_default<scope> {
+    static void init(const scope &s, function_record *r) { r->scope = s.value; }
+};
+
+/// Process an attribute which indicates that this function is an operator
+template <> struct process_attribute<is_operator> : process_attribute_default<is_operator> {
+    static void init(const is_operator &, function_record *r) { r->is_operator = true; }
+};
+
+/// Process a keyword argument attribute (*without* a default value)
+template <> struct process_attribute<arg> : process_attribute_default<arg> {
+    static void init(const arg &a, function_record *r) {
+        if (r->is_method && r->args.empty())
+            r->args.emplace_back("self", nullptr, handle());
+        r->args.emplace_back(a.name, nullptr, handle());
+    }
+};
+
+/// Process a keyword argument attribute (*with* a default value)
+template <> struct process_attribute<arg_v> : process_attribute_default<arg_v> {
+    static void init(const arg_v &a, function_record *r) {
+        if (r->is_method && r->args.empty())
+            r->args.emplace_back("self", nullptr, handle());
+
+        if (!a.value) {
+#if !defined(NDEBUG)
+            auto descr = "'" + std::string(a.name) + ": " + a.type + "'";
+            if (r->is_method) {
+                if (r->name)
+                    descr += " in method '" + (std::string) str(r->scope) + "." + (std::string) r->name + "'";
+                else
+                    descr += " in method of '" + (std::string) str(r->scope) + "'";
+            } else if (r->name) {
+                descr += " in function named '" + (std::string) r->name + "'";
+            }
+            pybind11_fail("arg(): could not convert default keyword argument "
+                          + descr + " into a Python object (type not registered yet?)");
+#else
+            pybind11_fail("arg(): could not convert default keyword argument "
+                          "into a Python object (type not registered yet?). "
+                          "Compile in debug mode for more information.");
+#endif
+        }
+        r->args.emplace_back(a.name, a.descr, a.value.inc_ref());
+    }
+};
+
+/// Process a parent class attribute
+template <typename T>
+struct process_attribute<T, enable_if_t<is_pyobject<T>::value>> : process_attribute_default<handle> {
+    static void init(const handle &h, type_record *r) { r->bases.append(h); }
+};
+
+/// Process a parent class attribute (deprecated, does not support multiple inheritance)
+template <typename T>
+struct process_attribute<base<T>> : process_attribute_default<base<T>> {
+    static void init(const base<T> &, type_record *r) { r->add_base(&typeid(T), nullptr); }
+};
+
+/// Process a multiple inheritance attribute
+template <>
+struct process_attribute<multiple_inheritance> : process_attribute_default<multiple_inheritance> {
+    static void init(const multiple_inheritance &, type_record *r) { r->multiple_inheritance = true; }
+};
+
+template <>
+struct process_attribute<dynamic_attr> : process_attribute_default<dynamic_attr> {
+    static void init(const dynamic_attr &, type_record *r) { r->dynamic_attr = true; }
+};
+
+
+/// Process an 'arithmetic' attribute for enums (does nothing here)
+template <>
+struct process_attribute<arithmetic> : process_attribute_default<arithmetic> {};
+
+/***
+ * Process a keep_alive call policy -- invokes keep_alive_impl during the
+ * pre-call handler if both Nurse, Patient != 0 and use the post-call handler
+ * otherwise
+ */
+template <int Nurse, int Patient> struct process_attribute<keep_alive<Nurse, Patient>> : public process_attribute_default<keep_alive<Nurse, Patient>> {
+    template <int N = Nurse, int P = Patient, enable_if_t<N != 0 && P != 0, int> = 0>
+    static void precall(handle args) { keep_alive_impl(Nurse, Patient, args, handle()); }
+    template <int N = Nurse, int P = Patient, enable_if_t<N != 0 && P != 0, int> = 0>
+    static void postcall(handle, handle) { }
+    template <int N = Nurse, int P = Patient, enable_if_t<N == 0 || P == 0, int> = 0>
+    static void precall(handle) { }
+    template <int N = Nurse, int P = Patient, enable_if_t<N == 0 || P == 0, int> = 0>
+    static void postcall(handle args, handle ret) { keep_alive_impl(Nurse, Patient, args, ret); }
+};
+
+/// Recursively iterate over variadic template arguments
+template <typename... Args> struct process_attributes {
+    static void init(const Args&... args, function_record *r) {
+        int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::init(args, r), 0) ... };
+        ignore_unused(unused);
+    }
+    static void init(const Args&... args, type_record *r) {
+        int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::init(args, r), 0) ... };
+        ignore_unused(unused);
+    }
+    static void precall(handle fn_args) {
+        int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::precall(fn_args), 0) ... };
+        ignore_unused(unused);
+    }
+    static void postcall(handle fn_args, handle fn_ret) {
+        int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::postcall(fn_args, fn_ret), 0) ... };
+        ignore_unused(unused);
+    }
+};
+
+/// Check the number of named arguments at compile time
+template <typename... Extra,
+          size_t named = constexpr_sum(std::is_base_of<arg, Extra>::value...),
+          size_t self  = constexpr_sum(std::is_same<is_method, Extra>::value...)>
+constexpr bool expected_num_args(size_t nargs) {
+    return named == 0 || (self + named) == nargs;
+}
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/chrono.h

@@ -0,0 +1,160 @@
+/*
+    pybind11/chrono.h: Transparent conversion between std::chrono and python's datetime
+
+    Copyright (c) 2016 Trent Houliston <trent@houliston.me> and
+                       Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "pybind11.h"
+#include <cmath>
+#include <ctime>
+#include <chrono>
+#include <datetime.h>
+
+// Backport the PyDateTime_DELTA functions from Python3.3 if required
+#ifndef PyDateTime_DELTA_GET_DAYS
+#define PyDateTime_DELTA_GET_DAYS(o)         (((PyDateTime_Delta*)o)->days)
+#endif
+#ifndef PyDateTime_DELTA_GET_SECONDS
+#define PyDateTime_DELTA_GET_SECONDS(o)      (((PyDateTime_Delta*)o)->seconds)
+#endif
+#ifndef PyDateTime_DELTA_GET_MICROSECONDS
+#define PyDateTime_DELTA_GET_MICROSECONDS(o) (((PyDateTime_Delta*)o)->microseconds)
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+template <typename type> class duration_caster {
+public:
+    typedef typename type::rep rep;
+    typedef typename type::period period;
+
+    typedef std::chrono::duration<uint_fast32_t, std::ratio<86400>> days;
+
+    bool load(handle src, bool) {
+        using namespace std::chrono;
+
+        // Lazy initialise the PyDateTime import
+        if (!PyDateTimeAPI) { PyDateTime_IMPORT; }
+
+        if (!src) return false;
+        // If invoked with datetime.delta object
+        if (PyDelta_Check(src.ptr())) {
+            value = type(duration_cast<duration<rep, period>>(
+                  days(PyDateTime_DELTA_GET_DAYS(src.ptr()))
+                + seconds(PyDateTime_DELTA_GET_SECONDS(src.ptr()))
+                + microseconds(PyDateTime_DELTA_GET_MICROSECONDS(src.ptr()))));
+            return true;
+        }
+        // If invoked with a float we assume it is seconds and convert
+        else if (PyFloat_Check(src.ptr())) {
+            value = type(duration_cast<duration<rep, period>>(duration<double>(PyFloat_AsDouble(src.ptr()))));
+            return true;
+        }
+        else return false;
+    }
+
+    // If this is a duration just return it back
+    static const std::chrono::duration<rep, period>& get_duration(const std::chrono::duration<rep, period> &src) {
+        return src;
+    }
+
+    // If this is a time_point get the time_since_epoch
+    template <typename Clock> static std::chrono::duration<rep, period> get_duration(const std::chrono::time_point<Clock, std::chrono::duration<rep, period>> &src) {
+        return src.time_since_epoch();
+    }
+
+    static handle cast(const type &src, return_value_policy /* policy */, handle /* parent */) {
+        using namespace std::chrono;
+
+        // Use overloaded function to get our duration from our source
+        // Works out if it is a duration or time_point and get the duration
+        auto d = get_duration(src);
+
+        // Lazy initialise the PyDateTime import
+        if (!PyDateTimeAPI) { PyDateTime_IMPORT; }
+
+        // Declare these special duration types so the conversions happen with the correct primitive types (int)
+        using dd_t = duration<int, std::ratio<86400>>;
+        using ss_t = duration<int, std::ratio<1>>;
+        using us_t = duration<int, std::micro>;
+
+        return PyDelta_FromDSU(duration_cast<dd_t>(d).count(),
+                               duration_cast<ss_t>(d % days(1)).count(),
+                               duration_cast<us_t>(d % seconds(1)).count());
+    }
+
+    PYBIND11_TYPE_CASTER(type, _("datetime.timedelta"));
+};
+
+// This is for casting times on the system clock into datetime.datetime instances
+template <typename Duration> class type_caster<std::chrono::time_point<std::chrono::system_clock, Duration>> {
+public:
+    typedef std::chrono::time_point<std::chrono::system_clock, Duration> type;
+    bool load(handle src, bool) {
+        using namespace std::chrono;
+
+        // Lazy initialise the PyDateTime import
+        if (!PyDateTimeAPI) { PyDateTime_IMPORT; }
+
+        if (!src) return false;
+        if (PyDateTime_Check(src.ptr())) {
+            std::tm cal;
+            cal.tm_sec   = PyDateTime_DATE_GET_SECOND(src.ptr());
+            cal.tm_min   = PyDateTime_DATE_GET_MINUTE(src.ptr());
+            cal.tm_hour  = PyDateTime_DATE_GET_HOUR(src.ptr());
+            cal.tm_mday  = PyDateTime_GET_DAY(src.ptr());
+            cal.tm_mon   = PyDateTime_GET_MONTH(src.ptr()) - 1;
+            cal.tm_year  = PyDateTime_GET_YEAR(src.ptr()) - 1900;
+            cal.tm_isdst = -1;
+
+            value = system_clock::from_time_t(std::mktime(&cal)) + microseconds(PyDateTime_DATE_GET_MICROSECOND(src.ptr()));
+            return true;
+        }
+        else return false;
+    }
+
+    static handle cast(const std::chrono::time_point<std::chrono::system_clock, Duration> &src, return_value_policy /* policy */, handle /* parent */) {
+        using namespace std::chrono;
+
+        // Lazy initialise the PyDateTime import
+        if (!PyDateTimeAPI) { PyDateTime_IMPORT; }
+
+        std::time_t tt = system_clock::to_time_t(src);
+        // this function uses static memory so it's best to copy it out asap just in case
+        // otherwise other code that is using localtime may break this (not just python code)
+        std::tm localtime = *std::localtime(&tt);
+
+        // Declare these special duration types so the conversions happen with the correct primitive types (int)
+        using us_t = duration<int, std::micro>;
+
+        return PyDateTime_FromDateAndTime(localtime.tm_year + 1900,
+                                          localtime.tm_mon + 1,
+                                          localtime.tm_mday,
+                                          localtime.tm_hour,
+                                          localtime.tm_min,
+                                          localtime.tm_sec,
+                                          (duration_cast<us_t>(src.time_since_epoch() % seconds(1))).count());
+    }
+    PYBIND11_TYPE_CASTER(type, _("datetime.datetime"));
+};
+
+// Other clocks that are not the system clock are not measured as datetime.datetime objects
+// since they are not measured on calendar time. So instead we just make them timedeltas
+// Or if they have passed us a time as a float we convert that
+template <typename Clock, typename Duration> class type_caster<std::chrono::time_point<Clock, Duration>>
+: public duration_caster<std::chrono::time_point<Clock, Duration>> {
+};
+
+template <typename Rep, typename Period> class type_caster<std::chrono::duration<Rep, Period>>
+: public duration_caster<std::chrono::duration<Rep, Period>> {
+};
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/common.h

@@ -0,0 +1,595 @@
+/*
+    pybind11/common.h -- Basic macros
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#if !defined(NAMESPACE_BEGIN)
+#  define NAMESPACE_BEGIN(name) namespace name {
+#endif
+#if !defined(NAMESPACE_END)
+#  define NAMESPACE_END(name) }
+#endif
+
+// Neither MSVC nor Intel support enough of C++14 yet (in particular, as of MSVC 2015 and ICC 17
+// beta, neither support extended constexpr, which we rely on in descr.h), so don't enable pybind
+// CPP14 features for them.
+#if !defined(_MSC_VER) && !defined(__INTEL_COMPILER)
+#  if __cplusplus >= 201402L
+#    define PYBIND11_CPP14
+#    if __cplusplus > 201402L /* Temporary: should be updated to >= the final C++17 value once known */
+#      define PYBIND11_CPP17
+#    endif
+#  endif
+#endif
+
+#if !defined(PYBIND11_EXPORT)
+#  if defined(WIN32) || defined(_WIN32)
+#    define PYBIND11_EXPORT __declspec(dllexport)
+#  else
+#    define PYBIND11_EXPORT __attribute__ ((visibility("default")))
+#  endif
+#endif
+
+#if defined(_MSC_VER)
+#  define PYBIND11_NOINLINE __declspec(noinline)
+#else
+#  define PYBIND11_NOINLINE __attribute__ ((noinline))
+#endif
+
+#if defined(PYBIND11_CPP14)
+#  define PYBIND11_DEPRECATED(reason) [[deprecated(reason)]]
+#elif defined(__clang__)
+#  define PYBIND11_DEPRECATED(reason) __attribute__((deprecated(reason)))
+#elif defined(__GNUG__)
+#  define PYBIND11_DEPRECATED(reason) __attribute__((deprecated))
+#elif defined(_MSC_VER)
+#  define PYBIND11_DEPRECATED(reason) __declspec(deprecated)
+#endif
+
+#define PYBIND11_VERSION_MAJOR 1
+#define PYBIND11_VERSION_MINOR 9
+#define PYBIND11_VERSION_PATCH dev0
+
+/// Include Python header, disable linking to pythonX_d.lib on Windows in debug mode
+#if defined(_MSC_VER)
+#  define HAVE_ROUND
+#  pragma warning(push)
+#  pragma warning(disable: 4510 4610 4512 4005)
+#  if _DEBUG
+#    define PYBIND11_DEBUG_MARKER
+#    undef _DEBUG
+#  endif
+#endif
+
+#include <Python.h>
+#include <frameobject.h>
+#include <pythread.h>
+
+#if defined(_WIN32) && (defined(min) || defined(max))
+#  error Macro clash with min and max -- define NOMINMAX when compiling your program on Windows
+#endif
+
+#if defined(isalnum)
+#  undef isalnum
+#  undef isalpha
+#  undef islower
+#  undef isspace
+#  undef isupper
+#  undef tolower
+#  undef toupper
+#endif
+
+#if defined(_MSC_VER)
+#  if defined(PYBIND11_DEBUG_MARKER)
+#    define _DEBUG
+#    undef PYBIND11_DEBUG_MARKER
+#  endif
+#  pragma warning(pop)
+#endif
+
+#include <cstddef>
+#include <forward_list>
+#include <vector>
+#include <string>
+#include <stdexcept>
+#include <unordered_set>
+#include <unordered_map>
+#include <memory>
+#include <typeindex>
+#include <type_traits>
+
+#if PY_MAJOR_VERSION >= 3 /// Compatibility macros for various Python versions
+#define PYBIND11_INSTANCE_METHOD_NEW(ptr, class_) PyInstanceMethod_New(ptr)
+#define PYBIND11_BYTES_CHECK PyBytes_Check
+#define PYBIND11_BYTES_FROM_STRING PyBytes_FromString
+#define PYBIND11_BYTES_FROM_STRING_AND_SIZE PyBytes_FromStringAndSize
+#define PYBIND11_BYTES_AS_STRING_AND_SIZE PyBytes_AsStringAndSize
+#define PYBIND11_BYTES_AS_STRING PyBytes_AsString
+#define PYBIND11_LONG_CHECK(o) PyLong_Check(o)
+#define PYBIND11_LONG_AS_LONGLONG(o) PyLong_AsLongLong(o)
+#define PYBIND11_LONG_AS_UNSIGNED_LONGLONG(o) PyLong_AsUnsignedLongLong(o)
+#define PYBIND11_BYTES_NAME "bytes"
+#define PYBIND11_STRING_NAME "str"
+#define PYBIND11_SLICE_OBJECT PyObject
+#define PYBIND11_FROM_STRING PyUnicode_FromString
+#define PYBIND11_STR_TYPE ::pybind11::str
+#define PYBIND11_OB_TYPE(ht_type) (ht_type).ob_base.ob_base.ob_type
+#define PYBIND11_PLUGIN_IMPL(name) \
+    extern "C" PYBIND11_EXPORT PyObject *PyInit_##name()
+#else
+#define PYBIND11_INSTANCE_METHOD_NEW(ptr, class_) PyMethod_New(ptr, nullptr, class_)
+#define PYBIND11_BYTES_CHECK PyString_Check
+#define PYBIND11_BYTES_FROM_STRING PyString_FromString
+#define PYBIND11_BYTES_FROM_STRING_AND_SIZE PyString_FromStringAndSize
+#define PYBIND11_BYTES_AS_STRING_AND_SIZE PyString_AsStringAndSize
+#define PYBIND11_BYTES_AS_STRING PyString_AsString
+#define PYBIND11_LONG_CHECK(o) (PyInt_Check(o) || PyLong_Check(o))
+#define PYBIND11_LONG_AS_LONGLONG(o) (PyInt_Check(o) ? (long long) PyLong_AsLong(o) : PyLong_AsLongLong(o))
+#define PYBIND11_LONG_AS_UNSIGNED_LONGLONG(o) (PyInt_Check(o) ? (unsigned long long) PyLong_AsUnsignedLong(o) : PyLong_AsUnsignedLongLong(o))
+#define PYBIND11_BYTES_NAME "str"
+#define PYBIND11_STRING_NAME "unicode"
+#define PYBIND11_SLICE_OBJECT PySliceObject
+#define PYBIND11_FROM_STRING PyString_FromString
+#define PYBIND11_STR_TYPE ::pybind11::bytes
+#define PYBIND11_OB_TYPE(ht_type) (ht_type).ob_type
+#define PYBIND11_PLUGIN_IMPL(name) \
+    extern "C" PYBIND11_EXPORT PyObject *init##name()
+#endif
+
+#if PY_VERSION_HEX >= 0x03050000 && PY_VERSION_HEX < 0x03050200
+extern "C" {
+    struct _Py_atomic_address { void *value; };
+    PyAPI_DATA(_Py_atomic_address) _PyThreadState_Current;
+}
+#endif
+
+#define PYBIND11_TRY_NEXT_OVERLOAD ((PyObject *) 1) // special failure return code
+#define PYBIND11_STRINGIFY(x) #x
+#define PYBIND11_TOSTRING(x) PYBIND11_STRINGIFY(x)
+#define PYBIND11_INTERNALS_ID "__pybind11_" \
+    PYBIND11_TOSTRING(PYBIND11_VERSION_MAJOR) "_" PYBIND11_TOSTRING(PYBIND11_VERSION_MINOR) "__"
+
+#define PYBIND11_PLUGIN(name)                                                  \
+    static PyObject *pybind11_init();                                          \
+    PYBIND11_PLUGIN_IMPL(name) {                                               \
+        int major, minor;                                                      \
+        if (sscanf(Py_GetVersion(), "%i.%i", &major, &minor) != 2) {           \
+            PyErr_SetString(PyExc_ImportError, "Can't parse Python version."); \
+            return nullptr;                                                    \
+        } else if (major != PY_MAJOR_VERSION || minor != PY_MINOR_VERSION) {   \
+            PyErr_Format(PyExc_ImportError,                                    \
+                         "Python version mismatch: module was compiled for "   \
+                         "version %i.%i, while the interpreter is running "    \
+                         "version %i.%i.", PY_MAJOR_VERSION, PY_MINOR_VERSION, \
+                         major, minor);                                        \
+            return nullptr;                                                    \
+        }                                                                      \
+        try {                                                                  \
+            return pybind11_init();                                            \
+        } catch (const std::exception &e) {                                    \
+            PyErr_SetString(PyExc_ImportError, e.what());                      \
+            return nullptr;                                                    \
+        }                                                                      \
+    }                                                                          \
+    PyObject *pybind11_init()
+
+NAMESPACE_BEGIN(pybind11)
+
+using ssize_t = Py_ssize_t;
+using size_t  = std::size_t;
+
+/// Approach used to cast a previously unknown C++ instance into a Python object
+enum class return_value_policy : uint8_t {
+    /** This is the default return value policy, which falls back to the policy
+        return_value_policy::take_ownership when the return value is a pointer.
+        Otherwise, it uses return_value::move or return_value::copy for rvalue
+        and lvalue references, respectively. See below for a description of what
+        all of these different policies do. */
+    automatic = 0,
+
+    /** As above, but use policy return_value_policy::reference when the return
+        value is a pointer. This is the default conversion policy for function
+        arguments when calling Python functions manually from C++ code (i.e. via
+        handle::operator()). You probably won't need to use this. */
+    automatic_reference,
+
+    /** Reference an existing object (i.e. do not create a new copy) and take
+        ownership. Python will call the destructor and delete operator when the
+        object’s reference count reaches zero. Undefined behavior ensues when
+        the C++ side does the same.. */
+    take_ownership,
+
+    /** Create a new copy of the returned object, which will be owned by
+        Python. This policy is comparably safe because the lifetimes of the two
+        instances are decoupled. */
+    copy,
+
+    /** Use std::move to move the return value contents into a new instance
+        that will be owned by Python. This policy is comparably safe because the
+        lifetimes of the two instances (move source and destination) are
+        decoupled. */
+    move,
+
+    /** Reference an existing object, but do not take ownership. The C++ side
+        is responsible for managing the object’s lifetime and deallocating it
+        when it is no longer used. Warning: undefined behavior will ensue when
+        the C++ side deletes an object that is still referenced and used by
+        Python. */
+    reference,
+
+    /** This policy only applies to methods and properties. It references the
+        object without taking ownership similar to the above
+        return_value_policy::reference policy. In contrast to that policy, the
+        function or property’s implicit this argument (called the parent) is
+        considered to be the the owner of the return value (the child).
+        pybind11 then couples the lifetime of the parent to the child via a
+        reference relationship that ensures that the parent cannot be garbage
+        collected while Python is still using the child. More advanced
+        variations of this scheme are also possible using combinations of
+        return_value_policy::reference and the keep_alive call policy */
+    reference_internal
+};
+
+/// Information record describing a Python buffer object
+struct buffer_info {
+    void *ptr = nullptr;         // Pointer to the underlying storage
+    size_t itemsize = 0;         // Size of individual items in bytes
+    size_t size = 0;             // Total number of entries
+    std::string format;          // For homogeneous buffers, this should be set to format_descriptor<T>::format()
+    size_t ndim = 0;             // Number of dimensions
+    std::vector<size_t> shape;   // Shape of the tensor (1 entry per dimension)
+    std::vector<size_t> strides; // Number of entries between adjacent entries (for each per dimension)
+
+    buffer_info() { }
+
+    buffer_info(void *ptr, size_t itemsize, const std::string &format, size_t ndim,
+                const std::vector<size_t> &shape, const std::vector<size_t> &strides)
+        : ptr(ptr), itemsize(itemsize), size(1), format(format),
+          ndim(ndim), shape(shape), strides(strides) {
+        for (size_t i = 0; i < ndim; ++i)
+            size *= shape[i];
+    }
+
+    buffer_info(void *ptr, size_t itemsize, const std::string &format, size_t size)
+    : buffer_info(ptr, itemsize, format, 1, std::vector<size_t> { size },
+                  std::vector<size_t> { itemsize }) { }
+
+    explicit buffer_info(Py_buffer *view, bool ownview = true)
+        : ptr(view->buf), itemsize((size_t) view->itemsize), size(1), format(view->format),
+          ndim((size_t) view->ndim), shape((size_t) view->ndim), strides((size_t) view->ndim), view(view), ownview(ownview) {
+        for (size_t i = 0; i < (size_t) view->ndim; ++i) {
+            shape[i] = (size_t) view->shape[i];
+            strides[i] = (size_t) view->strides[i];
+            size *= shape[i];
+        }
+    }
+
+    buffer_info(const buffer_info &) = delete;
+    buffer_info& operator=(const buffer_info &) = delete;
+
+    buffer_info(buffer_info &&other) {
+        (*this) = std::move(other);
+    }
+
+    buffer_info& operator=(buffer_info &&rhs) {
+        ptr = rhs.ptr;
+        itemsize = rhs.itemsize;
+        size = rhs.size;
+        format = std::move(rhs.format);
+        ndim = rhs.ndim;
+        shape = std::move(rhs.shape);
+        strides = std::move(rhs.strides);
+        std::swap(view, rhs.view);
+        std::swap(ownview, rhs.ownview);
+        return *this;
+    }
+
+    ~buffer_info() {
+        if (view && ownview) { PyBuffer_Release(view); delete view; }
+    }
+
+private:
+    Py_buffer *view = nullptr;
+    bool ownview = false;
+};
+
+NAMESPACE_BEGIN(detail)
+
+inline static constexpr int log2(size_t n, int k = 0) { return (n <= 1) ? k : log2(n >> 1, k + 1); }
+
+inline std::string error_string();
+
+/// Core part of the 'instance' type which POD (needed to be able to use 'offsetof')
+template <typename type> struct instance_essentials {
+    PyObject_HEAD
+    type *value;
+    PyObject *weakrefs;
+    bool owned : 1;
+    bool holder_constructed : 1;
+};
+
+/// PyObject wrapper around generic types, includes a special holder type that is responsible for lifetime management
+template <typename type, typename holder_type = std::unique_ptr<type>> struct instance : instance_essentials<type> {
+    holder_type holder;
+};
+
+struct overload_hash {
+    inline size_t operator()(const std::pair<const PyObject *, const char *>& v) const {
+        size_t value = std::hash<const void *>()(v.first);
+        value ^= std::hash<const void *>()(v.second)  + 0x9e3779b9 + (value<<6) + (value>>2);
+        return value;
+    }
+};
+
+/// Internal data struture used to track registered instances and types
+struct internals {
+    std::unordered_map<std::type_index, void*> registered_types_cpp;   // std::type_index -> type_info
+    std::unordered_map<const void *, void*> registered_types_py;       // PyTypeObject* -> type_info
+    std::unordered_multimap<const void *, void*> registered_instances; // void * -> PyObject*
+    std::unordered_set<std::pair<const PyObject *, const char *>, overload_hash> inactive_overload_cache;
+    std::unordered_map<std::type_index, std::vector<bool (*)(PyObject *, void *&)>> direct_conversions;
+    std::forward_list<void (*) (std::exception_ptr)> registered_exception_translators;
+    std::unordered_map<std::string, void *> shared_data; // Custom data to be shared across extensions
+#if defined(WITH_THREAD)
+    decltype(PyThread_create_key()) tstate = 0; // Usually an int but a long on Cygwin64 with Python 3.x
+    PyInterpreterState *istate = nullptr;
+#endif
+};
+
+/// Return a reference to the current 'internals' information
+inline internals &get_internals();
+
+/// Index sequence for convenient template metaprogramming involving tuples
+#ifdef PYBIND11_CPP14
+using std::index_sequence;
+using std::make_index_sequence;
+#else
+template<size_t ...> struct index_sequence  { };
+template<size_t N, size_t ...S> struct make_index_sequence_impl : make_index_sequence_impl <N - 1, N - 1, S...> { };
+template<size_t ...S> struct make_index_sequence_impl <0, S...> { typedef index_sequence<S...> type; };
+template<size_t N> using make_index_sequence = typename make_index_sequence_impl<N>::type;
+#endif
+
+/// Strip the class from a method type
+template <typename T> struct remove_class { };
+template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...)> { typedef R type(A...); };
+template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...) const> { typedef R type(A...); };
+
+/// Helper template to strip away type modifiers
+template <typename T> struct intrinsic_type                       { typedef T type; };
+template <typename T> struct intrinsic_type<const T>              { typedef typename intrinsic_type<T>::type type; };
+template <typename T> struct intrinsic_type<T*>                   { typedef typename intrinsic_type<T>::type type; };
+template <typename T> struct intrinsic_type<T&>                   { typedef typename intrinsic_type<T>::type type; };
+template <typename T> struct intrinsic_type<T&&>                  { typedef typename intrinsic_type<T>::type type; };
+template <typename T, size_t N> struct intrinsic_type<const T[N]> { typedef typename intrinsic_type<T>::type type; };
+template <typename T, size_t N> struct intrinsic_type<T[N]>       { typedef typename intrinsic_type<T>::type type; };
+template <typename T> using intrinsic_t = typename intrinsic_type<T>::type;
+
+/// Helper type to replace 'void' in some expressions
+struct void_type { };
+
+/// Helper template which holds a list of types
+template <typename...> struct type_list { };
+
+/// from __cpp_future__ import (convenient aliases from C++14/17)
+template <bool B> using bool_constant = std::integral_constant<bool, B>;
+template <class T> using negation = bool_constant<!T::value>;
+template <bool B, typename T = void> using enable_if_t = typename std::enable_if<B, T>::type;
+template <bool B, typename T, typename F> using conditional_t = typename std::conditional<B, T, F>::type;
+
+/// Compile-time integer sum
+constexpr size_t constexpr_sum() { return 0; }
+template <typename T, typename... Ts>
+constexpr size_t constexpr_sum(T n, Ts... ns) { return size_t{n} + constexpr_sum(ns...); }
+
+// Counts the number of types in the template parameter pack matching the predicate
+#if !defined(_MSC_VER)
+template <template<typename> class Predicate, typename... Ts>
+using count_t = std::integral_constant<size_t, constexpr_sum(Predicate<Ts>::value...)>;
+#else
+// MSVC workaround (2015 Update 3 has issues with some member type aliases and constexpr)
+template <template<typename> class Predicate, typename... Ts> struct count_t;
+template <template<typename> class Predicate> struct count_t<Predicate> : std::integral_constant<size_t, 0> {};
+template <template<typename> class Predicate, class T, class... Ts>
+struct count_t<Predicate, T, Ts...> : std::integral_constant<size_t, Predicate<T>::value + count_t<Predicate, Ts...>::value> {};
+#endif
+
+/// Return true if all/any Ts satify Predicate<T>
+template <template<typename> class Predicate, typename... Ts>
+using all_of_t = bool_constant<(count_t<Predicate, Ts...>::value == sizeof...(Ts))>;
+template <template<typename> class Predicate, typename... Ts>
+using any_of_t = bool_constant<(count_t<Predicate, Ts...>::value > 0)>;
+
+// Extracts the first type from the template parameter pack matching the predicate, or Default if none match.
+template <template<class> class Predicate, class Default, class... Ts> struct first_of;
+template <template<class> class Predicate, class Default> struct first_of<Predicate, Default> {
+    using type = Default;
+};
+template <template<class> class Predicate, class Default, class T, class... Ts>
+struct first_of<Predicate, Default, T, Ts...> {
+    using type = typename std::conditional<
+        Predicate<T>::value,
+        T,
+        typename first_of<Predicate, Default, Ts...>::type
+    >::type;
+};
+template <template<class> class Predicate, class Default, class... T> using first_of_t = typename first_of<Predicate, Default, T...>::type;
+
+/// Defer the evaluation of type T until types Us are instantiated
+template <typename T, typename... /*Us*/> struct deferred_type { using type = T; };
+template <typename T, typename... Us> using deferred_t = typename deferred_type<T, Us...>::type;
+
+template <template<typename...> class Base>
+struct is_template_base_of_impl {
+    template <typename... Us> static std::true_type check(Base<Us...> *);
+    static std::false_type check(...);
+};
+
+/// Check if a template is the base of a type. For example:
+/// `is_template_base_of<Base, T>` is true if `struct T : Base<U> {}` where U can be anything
+template <template<typename...> class Base, typename T>
+#if !defined(_MSC_VER)
+using is_template_base_of = decltype(is_template_base_of_impl<Base>::check((T*)nullptr));
+#else // MSVC2015 has trouble with decltype in template aliases
+struct is_template_base_of : decltype(is_template_base_of_impl<Base>::check((T*)nullptr)) { };
+#endif
+
+/// Check if T is std::shared_ptr<U> where U can be anything
+template <typename T> struct is_shared_ptr : std::false_type { };
+template <typename U> struct is_shared_ptr<std::shared_ptr<U>> : std::true_type { };
+
+/// Ignore that a variable is unused in compiler warnings
+inline void ignore_unused(const int *) { }
+
+NAMESPACE_END(detail)
+
+/// Returns a named pointer that is shared among all extension modules (using the same
+/// pybind11 version) running in the current interpreter. Names starting with underscores
+/// are reserved for internal usage. Returns `nullptr` if no matching entry was found.
+inline PYBIND11_NOINLINE void* get_shared_data(const std::string& name) {
+    auto& internals = detail::get_internals();
+    auto it = internals.shared_data.find(name);
+    return it != internals.shared_data.end() ? it->second : nullptr;
+}
+
+/// Set the shared data that can be later recovered by `get_shared_data()`.
+inline PYBIND11_NOINLINE void *set_shared_data(const std::string& name, void *data) {
+    detail::get_internals().shared_data[name] = data;
+    return data;
+}
+
+/// Returns a typed reference to a shared data entry (by using `get_shared_data()`) if
+/// such entry exists. Otherwise, a new object of default-constructible type `T` is
+/// added to the shared data under the given name and a reference to it is returned.
+template<typename T> T& get_or_create_shared_data(const std::string& name) {
+    auto& internals = detail::get_internals();
+    auto it = internals.shared_data.find(name);
+    T* ptr = (T*) (it != internals.shared_data.end() ? it->second : nullptr);
+    if (!ptr) {
+        ptr = new T();
+        internals.shared_data[name] = ptr;
+    }
+    return *ptr;
+}
+
+/// Fetch and hold an error which was already set in Python
+class error_already_set : public std::runtime_error {
+public:
+    error_already_set() : std::runtime_error(detail::error_string()) {
+        PyErr_Fetch(&type, &value, &trace);
+    }
+
+    error_already_set(const error_already_set &) = delete;
+
+    error_already_set(error_already_set &&e)
+        : std::runtime_error(e.what()), type(e.type), value(e.value),
+          trace(e.trace) { e.type = e.value = e.trace = nullptr; }
+
+    inline ~error_already_set(); // implementation in pybind11.h
+
+    error_already_set& operator=(const error_already_set &) = delete;
+
+    /// Give the error back to Python
+    void restore() { PyErr_Restore(type, value, trace); type = value = trace = nullptr; }
+
+private:
+    PyObject *type, *value, *trace;
+};
+
+/// C++ bindings of builtin Python exceptions
+class builtin_exception : public std::runtime_error {
+public:
+    using std::runtime_error::runtime_error;
+    virtual void set_error() const = 0; /// Set the error using the Python C API
+};
+
+#define PYBIND11_RUNTIME_EXCEPTION(name, type) \
+    class name : public builtin_exception { public: \
+        using builtin_exception::builtin_exception; \
+        name() : name("") { } \
+        void set_error() const override { PyErr_SetString(type, what()); } \
+    };
+
+PYBIND11_RUNTIME_EXCEPTION(stop_iteration, PyExc_StopIteration)
+PYBIND11_RUNTIME_EXCEPTION(index_error, PyExc_IndexError)
+PYBIND11_RUNTIME_EXCEPTION(key_error, PyExc_KeyError)
+PYBIND11_RUNTIME_EXCEPTION(value_error, PyExc_ValueError)
+PYBIND11_RUNTIME_EXCEPTION(type_error, PyExc_TypeError)
+PYBIND11_RUNTIME_EXCEPTION(cast_error, PyExc_RuntimeError) /// Thrown when pybind11::cast or handle::call fail due to a type casting error
+PYBIND11_RUNTIME_EXCEPTION(reference_cast_error, PyExc_RuntimeError) /// Used internally
+
+[[noreturn]] PYBIND11_NOINLINE inline void pybind11_fail(const char *reason) { throw std::runtime_error(reason); }
+[[noreturn]] PYBIND11_NOINLINE inline void pybind11_fail(const std::string &reason) { throw std::runtime_error(reason); }
+
+/// Format strings for basic number types
+#define PYBIND11_DECL_FMT(t, v) template<> struct format_descriptor<t> \
+    { static constexpr const char* value = v; /* for backwards compatibility */ \
+      static std::string format() { return value; } }
+
+template <typename T, typename SFINAE = void> struct format_descriptor { };
+
+template <typename T> struct format_descriptor<T, detail::enable_if_t<std::is_integral<T>::value>> {
+    static constexpr const char c = "bBhHiIqQ"[detail::log2(sizeof(T))*2 + std::is_unsigned<T>::value];
+    static constexpr const char value[2] = { c, '\0' };
+    static std::string format() { return std::string(1, c); }
+};
+
+template <typename T> constexpr const char format_descriptor<
+    T, detail::enable_if_t<std::is_integral<T>::value>>::value[2];
+
+/// RAII wrapper that temporarily clears any Python error state
+struct error_scope {
+    PyObject *type, *value, *trace;
+    error_scope() { PyErr_Fetch(&type, &value, &trace); }
+    ~error_scope() { PyErr_Restore(type, value, trace); }
+};
+
+PYBIND11_DECL_FMT(float, "f");
+PYBIND11_DECL_FMT(double, "d");
+PYBIND11_DECL_FMT(bool, "?");
+
+/// Dummy destructor wrapper that can be used to expose classes with a private destructor
+struct nodelete { template <typename T> void operator()(T*) { } };
+
+// overload_cast requires variable templates: C++14 or MSVC 2015 Update 2
+#if defined(PYBIND11_CPP14) || _MSC_FULL_VER >= 190023918
+#define PYBIND11_OVERLOAD_CAST 1
+
+NAMESPACE_BEGIN(detail)
+template <typename... Args>
+struct overload_cast_impl {
+    template <typename Return>
+    constexpr auto operator()(Return (*pf)(Args...)) const noexcept
+                              -> decltype(pf) { return pf; }
+
+    template <typename Return, typename Class>
+    constexpr auto operator()(Return (Class::*pmf)(Args...), std::false_type = {}) const noexcept
+                              -> decltype(pmf) { return pmf; }
+
+    template <typename Return, typename Class>
+    constexpr auto operator()(Return (Class::*pmf)(Args...) const, std::true_type) const noexcept
+                              -> decltype(pmf) { return pmf; }
+};
+NAMESPACE_END(detail)
+
+/// Syntax sugar for resolving overloaded function pointers:
+///  - regular: static_cast<Return (Class::*)(Arg0, Arg1, Arg2)>(&Class::func)
+///  - sweet:   overload_cast<Arg0, Arg1, Arg2>(&Class::func)
+template <typename... Args>
+static constexpr detail::overload_cast_impl<Args...> overload_cast = {};
+// MSVC 2015 only accepts this particular initialization syntax for this variable template.
+
+/// Const member function selector for overload_cast
+///  - regular: static_cast<Return (Class::*)(Arg) const>(&Class::func)
+///  - sweet:   overload_cast<Arg>(&Class::func, const_)
+static constexpr auto const_ = std::true_type{};
+
+#endif // overload_cast
+
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/complex.h

@@ -0,0 +1,47 @@
+/*
+    pybind11/complex.h: Complex number support
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "pybind11.h"
+#include <complex>
+
+/// glibc defines I as a macro which breaks things, e.g., boost template names
+#ifdef I
+#  undef I
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+
+PYBIND11_DECL_FMT(std::complex<float>, "Zf");
+PYBIND11_DECL_FMT(std::complex<double>, "Zd");
+
+NAMESPACE_BEGIN(detail)
+template <typename T> class type_caster<std::complex<T>> {
+public:
+    bool load(handle src, bool) {
+        if (!src)
+            return false;
+        Py_complex result = PyComplex_AsCComplex(src.ptr());
+        if (result.real == -1.0 && PyErr_Occurred()) {
+            PyErr_Clear();
+            return false;
+        }
+        value = std::complex<T>((T) result.real, (T) result.imag);
+        return true;
+    }
+
+    static handle cast(const std::complex<T> &src, return_value_policy /* policy */, handle /* parent */) {
+        return PyComplex_FromDoubles((double) src.real(), (double) src.imag());
+    }
+
+    PYBIND11_TYPE_CASTER(std::complex<T>, _("complex"));
+};
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/descr.h

@@ -0,0 +1,183 @@
+/*
+    pybind11/descr.h: Helper type for concatenating type signatures
+    either at runtime (C++11) or compile time (C++14)
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "common.h"
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+#if defined(PYBIND11_CPP14) /* Concatenate type signatures at compile time using C++14 */
+
+template <size_t Size1, size_t Size2> class descr {
+    template <size_t Size1_, size_t Size2_> friend class descr;
+public:
+    constexpr descr(char const (&text) [Size1+1], const std::type_info * const (&types)[Size2+1])
+        : descr(text, types,
+                make_index_sequence<Size1>(),
+                make_index_sequence<Size2>()) { }
+
+    constexpr const char *text() const { return m_text; }
+    constexpr const std::type_info * const * types() const { return m_types; }
+
+    template <size_t OtherSize1, size_t OtherSize2>
+    constexpr descr<Size1 + OtherSize1, Size2 + OtherSize2> operator+(const descr<OtherSize1, OtherSize2> &other) const {
+        return concat(other,
+                      make_index_sequence<Size1>(),
+                      make_index_sequence<Size2>(),
+                      make_index_sequence<OtherSize1>(),
+                      make_index_sequence<OtherSize2>());
+    }
+
+protected:
+    template <size_t... Indices1, size_t... Indices2>
+    constexpr descr(
+        char const (&text) [Size1+1],
+        const std::type_info * const (&types) [Size2+1],
+        index_sequence<Indices1...>, index_sequence<Indices2...>)
+        : m_text{text[Indices1]..., '\0'},
+          m_types{types[Indices2]...,  nullptr } {}
+
+    template <size_t OtherSize1, size_t OtherSize2, size_t... Indices1,
+              size_t... Indices2, size_t... OtherIndices1, size_t... OtherIndices2>
+    constexpr descr<Size1 + OtherSize1, Size2 + OtherSize2>
+    concat(const descr<OtherSize1, OtherSize2> &other,
+           index_sequence<Indices1...>, index_sequence<Indices2...>,
+           index_sequence<OtherIndices1...>, index_sequence<OtherIndices2...>) const {
+        return descr<Size1 + OtherSize1, Size2 + OtherSize2>(
+            { m_text[Indices1]..., other.m_text[OtherIndices1]..., '\0' },
+            { m_types[Indices2]..., other.m_types[OtherIndices2]..., nullptr }
+        );
+    }
+
+protected:
+    char m_text[Size1 + 1];
+    const std::type_info * m_types[Size2 + 1];
+};
+
+template <size_t Size> constexpr descr<Size - 1, 0> _(char const(&text)[Size]) {
+    return descr<Size - 1, 0>(text, { nullptr });
+}
+
+template <size_t Rem, size_t... Digits> struct int_to_str : int_to_str<Rem/10, Rem%10, Digits...> { };
+template <size_t...Digits> struct int_to_str<0, Digits...> {
+    static constexpr auto digits = descr<sizeof...(Digits), 0>({ ('0' + Digits)..., '\0' }, { nullptr });
+};
+
+// Ternary description (like std::conditional)
+template <bool B, size_t Size1, size_t Size2>
+constexpr enable_if_t<B, descr<Size1 - 1, 0>> _(char const(&text1)[Size1], char const(&)[Size2]) {
+    return _(text1);
+}
+template <bool B, size_t Size1, size_t Size2>
+constexpr enable_if_t<!B, descr<Size2 - 1, 0>> _(char const(&)[Size1], char const(&text2)[Size2]) {
+    return _(text2);
+}
+template <bool B, size_t SizeA1, size_t SizeA2, size_t SizeB1, size_t SizeB2>
+constexpr enable_if_t<B, descr<SizeA1, SizeA2>> _(descr<SizeA1, SizeA2> d, descr<SizeB1, SizeB2>) { return d; }
+template <bool B, size_t SizeA1, size_t SizeA2, size_t SizeB1, size_t SizeB2>
+constexpr enable_if_t<!B, descr<SizeB1, SizeB2>> _(descr<SizeA1, SizeA2>, descr<SizeB1, SizeB2> d) { return d; }
+
+template <size_t Size> auto constexpr _() -> decltype(int_to_str<Size / 10, Size % 10>::digits) {
+    return int_to_str<Size / 10, Size % 10>::digits;
+}
+
+template <typename Type> constexpr descr<1, 1> _() {
+    return descr<1, 1>({ '%', '\0' }, { &typeid(Type), nullptr });
+}
+
+inline constexpr descr<0, 0> concat() { return _(""); }
+template <size_t Size1, size_t Size2, typename... Args> auto constexpr concat(descr<Size1, Size2> descr) { return descr; }
+template <size_t Size1, size_t Size2, typename... Args> auto constexpr concat(descr<Size1, Size2> descr, Args&&... args) { return descr + _(", ") + concat(args...); }
+template <size_t Size1, size_t Size2> auto constexpr type_descr(descr<Size1, Size2> descr) { return _("{") + descr + _("}"); }
+
+#define PYBIND11_DESCR constexpr auto
+
+#else /* Simpler C++11 implementation based on run-time memory allocation and copying */
+
+class descr {
+public:
+    PYBIND11_NOINLINE descr(const char *text, const std::type_info * const * types) {
+        size_t nChars = len(text), nTypes = len(types);
+        m_text  = new char[nChars];
+        m_types = new const std::type_info *[nTypes];
+        memcpy(m_text, text, nChars * sizeof(char));
+        memcpy(m_types, types, nTypes * sizeof(const std::type_info *));
+    }
+
+    PYBIND11_NOINLINE descr friend operator+(descr &&d1, descr &&d2) {
+        descr r;
+
+        size_t nChars1 = len(d1.m_text), nTypes1 = len(d1.m_types);
+        size_t nChars2 = len(d2.m_text), nTypes2 = len(d2.m_types);
+
+        r.m_text  = new char[nChars1 + nChars2 - 1];
+        r.m_types = new const std::type_info *[nTypes1 + nTypes2 - 1];
+        memcpy(r.m_text, d1.m_text, (nChars1-1) * sizeof(char));
+        memcpy(r.m_text + nChars1 - 1, d2.m_text, nChars2 * sizeof(char));
+        memcpy(r.m_types, d1.m_types, (nTypes1-1) * sizeof(std::type_info *));
+        memcpy(r.m_types + nTypes1 - 1, d2.m_types, nTypes2 * sizeof(std::type_info *));
+
+        delete[] d1.m_text; delete[] d1.m_types;
+        delete[] d2.m_text; delete[] d2.m_types;
+
+        return r;
+    }
+
+    char *text() { return m_text; }
+    const std::type_info * * types() { return m_types; }
+
+protected:
+    PYBIND11_NOINLINE descr() { }
+
+    template <typename T> static size_t len(const T *ptr) { // return length including null termination
+        const T *it = ptr;
+        while (*it++ != (T) 0)
+            ;
+        return static_cast<size_t>(it - ptr);
+    }
+
+    const std::type_info **m_types = nullptr;
+    char *m_text = nullptr;
+};
+
+/* The 'PYBIND11_NOINLINE inline' combinations below are intentional to get the desired linkage while producing as little object code as possible */
+
+PYBIND11_NOINLINE inline descr _(const char *text) {
+    const std::type_info *types[1] = { nullptr };
+    return descr(text, types);
+}
+
+template <bool B> PYBIND11_NOINLINE enable_if_t<B, descr> _(const char *text1, const char *) { return _(text1); }
+template <bool B> PYBIND11_NOINLINE enable_if_t<!B, descr> _(char const *, const char *text2) { return _(text2); }
+template <bool B> PYBIND11_NOINLINE enable_if_t<B, descr> _(descr d, descr) { return d; }
+template <bool B> PYBIND11_NOINLINE enable_if_t<!B, descr> _(descr, descr d) { return d; }
+
+template <typename Type> PYBIND11_NOINLINE descr _() {
+    const std::type_info *types[2] = { &typeid(Type), nullptr };
+    return descr("%", types);
+}
+
+template <size_t Size> PYBIND11_NOINLINE descr _() {
+    const std::type_info *types[1] = { nullptr };
+    return descr(std::to_string(Size).c_str(), types);
+}
+
+PYBIND11_NOINLINE inline descr concat() { return _(""); }
+PYBIND11_NOINLINE inline descr concat(descr &&d) { return d; }
+template <typename... Args> PYBIND11_NOINLINE descr concat(descr &&d, Args&&... args) { return std::move(d) + _(", ") + concat(std::forward<Args>(args)...); }
+PYBIND11_NOINLINE inline descr type_descr(descr&& d) { return _("{") + std::move(d) + _("}"); }
+
+#define PYBIND11_DESCR ::pybind11::detail::descr
+#endif
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/eigen.h

@@ -0,0 +1,239 @@
+/*
+    pybind11/eigen.h: Transparent conversion for dense and sparse Eigen matrices
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "numpy.h"
+
+#if defined(__INTEL_COMPILER)
+#  pragma warning(disable: 1682) // implicit conversion of a 64-bit integral type to a smaller integral type (potential portability problem)
+#elif defined(__GNUG__) || defined(__clang__)
+#  pragma GCC diagnostic push
+#  pragma GCC diagnostic ignored "-Wconversion"
+#  pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+#endif
+
+#include <Eigen/Core>
+#include <Eigen/SparseCore>
+
+#if defined(__GNUG__) || defined(__clang__)
+#  pragma GCC diagnostic pop
+#endif
+
+#if defined(_MSC_VER)
+#pragma warning(push)
+#pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+template <typename T> using is_eigen_dense = is_template_base_of<Eigen::DenseBase, T>;
+template <typename T> using is_eigen_sparse = is_template_base_of<Eigen::SparseMatrixBase, T>;
+template <typename T> using is_eigen_ref = is_template_base_of<Eigen::RefBase, T>;
+
+// Test for objects inheriting from EigenBase<Derived> that aren't captured by the above.  This
+// basically covers anything that can be assigned to a dense matrix but that don't have a typical
+// matrix data layout that can be copied from their .data().  For example, DiagonalMatrix and
+// SelfAdjointView fall into this category.
+template <typename T> using is_eigen_base = bool_constant<
+    is_template_base_of<Eigen::EigenBase, T>::value
+    && !is_eigen_dense<T>::value && !is_eigen_sparse<T>::value
+>;
+
+template<typename Type>
+struct type_caster<Type, enable_if_t<is_eigen_dense<Type>::value && !is_eigen_ref<Type>::value>> {
+    typedef typename Type::Scalar Scalar;
+    static constexpr bool rowMajor = Type::Flags & Eigen::RowMajorBit;
+    static constexpr bool isVector = Type::IsVectorAtCompileTime;
+
+    bool load(handle src, bool) {
+        auto buf = array_t<Scalar>::ensure(src);
+        if (!buf)
+            return false;
+
+        if (buf.ndim() == 1) {
+            typedef Eigen::InnerStride<> Strides;
+            if (!isVector &&
+                !(Type::RowsAtCompileTime == Eigen::Dynamic &&
+                  Type::ColsAtCompileTime == Eigen::Dynamic))
+                return false;
+
+            if (Type::SizeAtCompileTime != Eigen::Dynamic &&
+                buf.shape(0) != (size_t) Type::SizeAtCompileTime)
+                return false;
+
+            Strides::Index n_elts = (Strides::Index) buf.shape(0);
+            Strides::Index unity = 1;
+
+            value = Eigen::Map<Type, 0, Strides>(
+                buf.mutable_data(),
+                rowMajor ? unity : n_elts,
+                rowMajor ? n_elts : unity,
+                Strides(buf.strides(0) / sizeof(Scalar))
+            );
+        } else if (buf.ndim() == 2) {
+            typedef Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic> Strides;
+
+            if ((Type::RowsAtCompileTime != Eigen::Dynamic && buf.shape(0) != (size_t) Type::RowsAtCompileTime) ||
+                (Type::ColsAtCompileTime != Eigen::Dynamic && buf.shape(1) != (size_t) Type::ColsAtCompileTime))
+                return false;
+
+            value = Eigen::Map<Type, 0, Strides>(
+                buf.mutable_data(),
+                typename Strides::Index(buf.shape(0)),
+                typename Strides::Index(buf.shape(1)),
+                Strides(buf.strides(rowMajor ? 0 : 1) / sizeof(Scalar),
+                        buf.strides(rowMajor ? 1 : 0) / sizeof(Scalar))
+            );
+        } else {
+            return false;
+        }
+        return true;
+    }
+
+    static handle cast(const Type &src, return_value_policy /* policy */, handle /* parent */) {
+        if (isVector) {
+            return array(
+                { (size_t) src.size() },                                      // shape
+                { sizeof(Scalar) * static_cast<size_t>(src.innerStride()) },  // strides
+                src.data()                                                    // data
+            ).release();
+        } else {
+            return array(
+                { (size_t) src.rows(),                                        // shape
+                  (size_t) src.cols() },
+                { sizeof(Scalar) * static_cast<size_t>(src.rowStride()),      // strides
+                  sizeof(Scalar) * static_cast<size_t>(src.colStride()) },
+                src.data()                                                    // data
+            ).release();
+        }
+    }
+
+    PYBIND11_TYPE_CASTER(Type, _("numpy.ndarray[") + npy_format_descriptor<Scalar>::name() +
+            _("[") + rows() + _(", ") + cols() + _("]]"));
+
+protected:
+    template <typename T = Type, enable_if_t<T::RowsAtCompileTime == Eigen::Dynamic, int> = 0>
+    static PYBIND11_DESCR rows() { return _("m"); }
+    template <typename T = Type, enable_if_t<T::RowsAtCompileTime != Eigen::Dynamic, int> = 0>
+    static PYBIND11_DESCR rows() { return _<T::RowsAtCompileTime>(); }
+    template <typename T = Type, enable_if_t<T::ColsAtCompileTime == Eigen::Dynamic, int> = 0>
+    static PYBIND11_DESCR cols() { return _("n"); }
+    template <typename T = Type, enable_if_t<T::ColsAtCompileTime != Eigen::Dynamic, int> = 0>
+    static PYBIND11_DESCR cols() { return _<T::ColsAtCompileTime>(); }
+};
+
+// Eigen::Ref<Derived> satisfies is_eigen_dense, but isn't constructable, so it needs a special
+// type_caster to handle argument copying/forwarding.
+template <typename CVDerived, int Options, typename StrideType>
+struct type_caster<Eigen::Ref<CVDerived, Options, StrideType>> {
+protected:
+    using Type = Eigen::Ref<CVDerived, Options, StrideType>;
+    using Derived = typename std::remove_const<CVDerived>::type;
+    using DerivedCaster = type_caster<Derived>;
+    DerivedCaster derived_caster;
+    std::unique_ptr<Type> value;
+public:
+    bool load(handle src, bool convert) { if (derived_caster.load(src, convert)) { value.reset(new Type(derived_caster.operator Derived&())); return true; } return false; }
+    static handle cast(const Type &src, return_value_policy policy, handle parent) { return DerivedCaster::cast(src, policy, parent); }
+    static handle cast(const Type *src, return_value_policy policy, handle parent) { return DerivedCaster::cast(*src, policy, parent); }
+
+    static PYBIND11_DESCR name() { return DerivedCaster::name(); }
+
+    operator Type*() { return value.get(); }
+    operator Type&() { if (!value) pybind11_fail("Eigen::Ref<...> value not loaded"); return *value; }
+    template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
+};
+
+// type_caster for special matrix types (e.g. DiagonalMatrix): load() is not supported, but we can
+// cast them into the python domain by first copying to a regular Eigen::Matrix, then casting that.
+template <typename Type>
+struct type_caster<Type, enable_if_t<is_eigen_base<Type>::value && !is_eigen_ref<Type>::value>> {
+protected:
+    using Matrix = Eigen::Matrix<typename Type::Scalar, Eigen::Dynamic, Eigen::Dynamic>;
+    using MatrixCaster = type_caster<Matrix>;
+public:
+    [[noreturn]] bool load(handle, bool) { pybind11_fail("Unable to load() into specialized EigenBase object"); }
+    static handle cast(const Type &src, return_value_policy policy, handle parent) { return MatrixCaster::cast(Matrix(src), policy, parent); }
+    static handle cast(const Type *src, return_value_policy policy, handle parent) { return MatrixCaster::cast(Matrix(*src), policy, parent); }
+
+    static PYBIND11_DESCR name() { return MatrixCaster::name(); }
+
+    [[noreturn]] operator Type*() { pybind11_fail("Loading not supported for specialized EigenBase object"); }
+    [[noreturn]] operator Type&() { pybind11_fail("Loading not supported for specialized EigenBase object"); }
+    template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
+};
+
+template<typename Type>
+struct type_caster<Type, enable_if_t<is_eigen_sparse<Type>::value>> {
+    typedef typename Type::Scalar Scalar;
+    typedef typename std::remove_reference<decltype(*std::declval<Type>().outerIndexPtr())>::type StorageIndex;
+    typedef typename Type::Index Index;
+    static constexpr bool rowMajor = Type::Flags & Eigen::RowMajorBit;
+
+    bool load(handle src, bool) {
+        if (!src)
+            return false;
+
+        auto obj = reinterpret_borrow<object>(src);
+        object sparse_module = module::import("scipy.sparse");
+        object matrix_type = sparse_module.attr(
+            rowMajor ? "csr_matrix" : "csc_matrix");
+
+        if (obj.get_type() != matrix_type.ptr()) {
+            try {
+                obj = matrix_type(obj);
+            } catch (const error_already_set &) {
+                return false;
+            }
+        }
+
+        auto values = array_t<Scalar>((object) obj.attr("data"));
+        auto innerIndices = array_t<StorageIndex>((object) obj.attr("indices"));
+        auto outerIndices = array_t<StorageIndex>((object) obj.attr("indptr"));
+        auto shape = pybind11::tuple((pybind11::object) obj.attr("shape"));
+        auto nnz = obj.attr("nnz").cast<Index>();
+
+        if (!values || !innerIndices || !outerIndices)
+            return false;
+
+        value = Eigen::MappedSparseMatrix<Scalar, Type::Flags, StorageIndex>(
+            shape[0].cast<Index>(), shape[1].cast<Index>(), nnz,
+            outerIndices.mutable_data(), innerIndices.mutable_data(), values.mutable_data());
+
+        return true;
+    }
+
+    static handle cast(const Type &src, return_value_policy /* policy */, handle /* parent */) {
+        const_cast<Type&>(src).makeCompressed();
+
+        object matrix_type = module::import("scipy.sparse").attr(
+            rowMajor ? "csr_matrix" : "csc_matrix");
+
+        array data((size_t) src.nonZeros(), src.valuePtr());
+        array outerIndices((size_t) (rowMajor ? src.rows() : src.cols()) + 1, src.outerIndexPtr());
+        array innerIndices((size_t) src.nonZeros(), src.innerIndexPtr());
+
+        return matrix_type(
+            std::make_tuple(data, innerIndices, outerIndices),
+            std::make_pair(src.rows(), src.cols())
+        ).release();
+    }
+
+    PYBIND11_TYPE_CASTER(Type, _<(Type::Flags & Eigen::RowMajorBit) != 0>("scipy.sparse.csr_matrix[", "scipy.sparse.csc_matrix[")
+            + npy_format_descriptor<Scalar>::name() + _("]"));
+};
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)
+
+#if defined(_MSC_VER)
+#pragma warning(pop)
+#endif

ext/pybind11/include/pybind11/eval.h

@@ -0,0 +1,105 @@
+/*
+    pybind11/exec.h: Support for evaluating Python expressions and statements
+    from strings and files
+
+    Copyright (c) 2016 Klemens Morgenstern <klemens.morgenstern@ed-chemnitz.de> and
+                       Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#pragma once
+
+#include "pybind11.h"
+
+NAMESPACE_BEGIN(pybind11)
+
+enum eval_mode {
+    /// Evaluate a string containing an isolated expression
+    eval_expr,
+
+    /// Evaluate a string containing a single statement. Returns \c none
+    eval_single_statement,
+
+    /// Evaluate a string containing a sequence of statement. Returns \c none
+    eval_statements
+};
+
+template <eval_mode mode = eval_expr>
+object eval(str expr, object global = object(), object local = object()) {
+    if (!global) {
+        global = reinterpret_borrow<object>(PyEval_GetGlobals());
+        if (!global)
+            global = dict();
+    }
+    if (!local)
+        local = global;
+
+    /* PyRun_String does not accept a PyObject / encoding specifier,
+       this seems to be the only alternative */
+    std::string buffer = "# -*- coding: utf-8 -*-\n" + (std::string) expr;
+
+    int start;
+    switch (mode) {
+        case eval_expr:             start = Py_eval_input;   break;
+        case eval_single_statement: start = Py_single_input; break;
+        case eval_statements:       start = Py_file_input;   break;
+        default: pybind11_fail("invalid evaluation mode");
+    }
+
+    PyObject *result = PyRun_String(buffer.c_str(), start, global.ptr(), local.ptr());
+    if (!result)
+        throw error_already_set();
+    return reinterpret_steal<object>(result);
+}
+
+template <eval_mode mode = eval_statements>
+object eval_file(str fname, object global = object(), object local = object()) {
+    if (!global) {
+        global = reinterpret_borrow<object>(PyEval_GetGlobals());
+        if (!global)
+            global = dict();
+    }
+    if (!local)
+        local = global;
+
+    int start;
+    switch (mode) {
+        case eval_expr:             start = Py_eval_input;   break;
+        case eval_single_statement: start = Py_single_input; break;
+        case eval_statements:       start = Py_file_input;   break;
+        default: pybind11_fail("invalid evaluation mode");
+    }
+
+    int closeFile = 1;
+    std::string fname_str = (std::string) fname;
+#if PY_VERSION_HEX >= 0x03040000
+    FILE *f = _Py_fopen_obj(fname.ptr(), "r");
+#elif PY_VERSION_HEX >= 0x03000000
+    FILE *f = _Py_fopen(fname.ptr(), "r");
+#else
+    /* No unicode support in open() :( */
+    auto fobj = reinterpret_steal<object>(PyFile_FromString(
+        const_cast<char *>(fname_str.c_str()),
+        const_cast<char*>("r")));
+    FILE *f = nullptr;
+    if (fobj)
+        f = PyFile_AsFile(fobj.ptr());
+    closeFile = 0;
+#endif
+    if (!f) {
+        PyErr_Clear();
+        pybind11_fail("File \"" + fname_str + "\" could not be opened!");
+    }
+
+    PyObject *result = PyRun_FileEx(f, fname_str.c_str(), start, global.ptr(),
+                                    local.ptr(), closeFile);
+    if (!result)
+        throw error_already_set();
+    return reinterpret_steal<object>(result);
+}
+
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/functional.h

@@ -0,0 +1,79 @@
+/*
+    pybind11/functional.h: std::function<> support
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "pybind11.h"
+#include <functional>
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+template <typename Return, typename... Args> struct type_caster<std::function<Return(Args...)>> {
+    typedef std::function<Return(Args...)> type;
+    typedef typename std::conditional<std::is_same<Return, void>::value, void_type, Return>::type retval_type;
+public:
+    bool load(handle src_, bool) {
+        if (src_.is_none())
+            return true;
+
+        src_ = detail::get_function(src_);
+        if (!src_ || !PyCallable_Check(src_.ptr()))
+            return false;
+
+        /*
+           When passing a C++ function as an argument to another C++
+           function via Python, every function call would normally involve
+           a full C++ -> Python -> C++ roundtrip, which can be prohibitive.
+           Here, we try to at least detect the case where the function is
+           stateless (i.e. function pointer or lambda function without
+           captured variables), in which case the roundtrip can be avoided.
+         */
+        if (PyCFunction_Check(src_.ptr())) {
+            auto c = reinterpret_borrow<capsule>(PyCFunction_GetSelf(src_.ptr()));
+            auto rec = (function_record *) c;
+            using FunctionType = Return (*) (Args...);
+
+            if (rec && rec->is_stateless && rec->data[1] == &typeid(FunctionType)) {
+                struct capture { FunctionType f; };
+                value = ((capture *) &rec->data)->f;
+                return true;
+            }
+        }
+
+        auto src = reinterpret_borrow<object>(src_);
+        value = [src](Args... args) -> Return {
+            gil_scoped_acquire acq;
+            object retval(src(std::move(args)...));
+            /* Visual studio 2015 parser issue: need parentheses around this expression */
+            return (retval.template cast<Return>());
+        };
+        return true;
+    }
+
+    template <typename Func>
+    static handle cast(Func &&f_, return_value_policy policy, handle /* parent */) {
+        if (!f_)
+            return none().inc_ref();
+
+        auto result = f_.template target<Return (*)(Args...)>();
+        if (result)
+            return cpp_function(*result, policy).release();
+        else
+            return cpp_function(std::forward<Func>(f_), policy).release();
+    }
+
+    PYBIND11_TYPE_CASTER(type, _("Callable[[") +
+            argument_loader<Args...>::arg_names() + _("], ") +
+            type_caster<retval_type>::name() +
+            _("]"));
+};
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/operators.h

@@ -0,0 +1,154 @@
+/*
+    pybind11/operator.h: Metatemplates for operator overloading
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "pybind11.h"
+
+#if defined(__clang__) && !defined(__INTEL_COMPILER)
+#  pragma clang diagnostic ignored "-Wunsequenced" // multiple unsequenced modifications to 'self' (when using def(py::self OP Type()))
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+/// Enumeration with all supported operator types
+enum op_id : int {
+    op_add, op_sub, op_mul, op_div, op_mod, op_divmod, op_pow, op_lshift,
+    op_rshift, op_and, op_xor, op_or, op_neg, op_pos, op_abs, op_invert,
+    op_int, op_long, op_float, op_str, op_cmp, op_gt, op_ge, op_lt, op_le,
+    op_eq, op_ne, op_iadd, op_isub, op_imul, op_idiv, op_imod, op_ilshift,
+    op_irshift, op_iand, op_ixor, op_ior, op_complex, op_bool, op_nonzero,
+    op_repr, op_truediv
+};
+
+enum op_type : int {
+    op_l, /* base type on left */
+    op_r, /* base type on right */
+    op_u  /* unary operator */
+};
+
+struct self_t { };
+static const self_t self = self_t();
+
+/// Type for an unused type slot
+struct undefined_t { };
+
+/// Don't warn about an unused variable
+inline self_t __self() { return self; }
+
+/// base template of operator implementations
+template <op_id, op_type, typename B, typename L, typename R> struct op_impl { };
+
+/// Operator implementation generator
+template <op_id id, op_type ot, typename L, typename R> struct op_ {
+    template <typename Class, typename... Extra> void execute(Class &cl, const Extra&... extra) const {
+        typedef typename Class::type Base;
+        typedef typename std::conditional<std::is_same<L, self_t>::value, Base, L>::type L_type;
+        typedef typename std::conditional<std::is_same<R, self_t>::value, Base, R>::type R_type;
+        typedef op_impl<id, ot, Base, L_type, R_type> op;
+        cl.def(op::name(), &op::execute, is_operator(), extra...);
+    }
+    template <typename Class, typename... Extra> void execute_cast(Class &cl, const Extra&... extra) const {
+        typedef typename Class::type Base;
+        typedef typename std::conditional<std::is_same<L, self_t>::value, Base, L>::type L_type;
+        typedef typename std::conditional<std::is_same<R, self_t>::value, Base, R>::type R_type;
+        typedef op_impl<id, ot, Base, L_type, R_type> op;
+        cl.def(op::name(), &op::execute_cast, is_operator(), extra...);
+    }
+};
+
+#define PYBIND11_BINARY_OPERATOR(id, rid, op, expr)                                      \
+template <typename B, typename L, typename R> struct op_impl<op_##id, op_l, B, L, R> { \
+    static char const* name() { return "__" #id "__"; }                                \
+    static auto execute(const L &l, const R &r) -> decltype(expr) { return (expr); }   \
+    static B execute_cast(const L &l, const R &r) { return B(expr); }                  \
+};                                                                                     \
+template <typename B, typename L, typename R> struct op_impl<op_##id, op_r, B, L, R> { \
+    static char const* name() { return "__" #rid "__"; }                               \
+    static auto execute(const R &r, const L &l) -> decltype(expr) { return (expr); }   \
+    static B execute_cast(const R &r, const L &l) { return B(expr); }                  \
+};                                                                                     \
+inline op_<op_##id, op_l, self_t, self_t> op(const self_t &, const self_t &) {         \
+    return op_<op_##id, op_l, self_t, self_t>();                                       \
+}                                                                                      \
+template <typename T> op_<op_##id, op_l, self_t, T> op(const self_t &, const T &) {    \
+    return op_<op_##id, op_l, self_t, T>();                                            \
+}                                                                                      \
+template <typename T> op_<op_##id, op_r, T, self_t> op(const T &, const self_t &) {    \
+    return op_<op_##id, op_r, T, self_t>();                                            \
+}
+
+#define PYBIND11_INPLACE_OPERATOR(id, op, expr)                                          \
+template <typename B, typename L, typename R> struct op_impl<op_##id, op_l, B, L, R> { \
+    static char const* name() { return "__" #id "__"; }                                \
+    static auto execute(L &l, const R &r) -> decltype(expr) { return expr; }           \
+    static B execute_cast(L &l, const R &r) { return B(expr); }                        \
+};                                                                                     \
+template <typename T> op_<op_##id, op_l, self_t, T> op(const self_t &, const T &) {    \
+    return op_<op_##id, op_l, self_t, T>();                                            \
+}
+
+#define PYBIND11_UNARY_OPERATOR(id, op, expr)                                            \
+template <typename B, typename L> struct op_impl<op_##id, op_u, B, L, undefined_t> {   \
+    static char const* name() { return "__" #id "__"; }                                \
+    static auto execute(const L &l) -> decltype(expr) { return expr; }                 \
+    static B execute_cast(const L &l) { return B(expr); }                              \
+};                                                                                     \
+inline op_<op_##id, op_u, self_t, undefined_t> op(const self_t &) {                    \
+    return op_<op_##id, op_u, self_t, undefined_t>();                                  \
+}
+
+PYBIND11_BINARY_OPERATOR(sub,       rsub,         operator-,    l - r)
+PYBIND11_BINARY_OPERATOR(add,       radd,         operator+,    l + r)
+PYBIND11_BINARY_OPERATOR(mul,       rmul,         operator*,    l * r)
+#if PY_MAJOR_VERSION >= 3
+PYBIND11_BINARY_OPERATOR(truediv,   rtruediv,     operator/,    l / r)
+#else
+PYBIND11_BINARY_OPERATOR(div,       rdiv,         operator/,    l / r)
+#endif
+PYBIND11_BINARY_OPERATOR(mod,       rmod,         operator%,    l % r)
+PYBIND11_BINARY_OPERATOR(lshift,    rlshift,      operator<<,   l << r)
+PYBIND11_BINARY_OPERATOR(rshift,    rrshift,      operator>>,   l >> r)
+PYBIND11_BINARY_OPERATOR(and,       rand,         operator&,    l & r)
+PYBIND11_BINARY_OPERATOR(xor,       rxor,         operator^,    l ^ r)
+PYBIND11_BINARY_OPERATOR(eq,        eq,           operator==,   l == r)
+PYBIND11_BINARY_OPERATOR(ne,        ne,           operator!=,   l != r)
+PYBIND11_BINARY_OPERATOR(or,        ror,          operator|,    l | r)
+PYBIND11_BINARY_OPERATOR(gt,        lt,           operator>,    l > r)
+PYBIND11_BINARY_OPERATOR(ge,        le,           operator>=,   l >= r)
+PYBIND11_BINARY_OPERATOR(lt,        gt,           operator<,    l < r)
+PYBIND11_BINARY_OPERATOR(le,        ge,           operator<=,   l <= r)
+//PYBIND11_BINARY_OPERATOR(pow,       rpow,         pow,          std::pow(l,  r))
+PYBIND11_INPLACE_OPERATOR(iadd,     operator+=,   l += r)
+PYBIND11_INPLACE_OPERATOR(isub,     operator-=,   l -= r)
+PYBIND11_INPLACE_OPERATOR(imul,     operator*=,   l *= r)
+PYBIND11_INPLACE_OPERATOR(idiv,     operator/=,   l /= r)
+PYBIND11_INPLACE_OPERATOR(imod,     operator%=,   l %= r)
+PYBIND11_INPLACE_OPERATOR(ilshift,  operator<<=,  l <<= r)
+PYBIND11_INPLACE_OPERATOR(irshift,  operator>>=,  l >>= r)
+PYBIND11_INPLACE_OPERATOR(iand,     operator&=,   l &= r)
+PYBIND11_INPLACE_OPERATOR(ixor,     operator^=,   l ^= r)
+PYBIND11_INPLACE_OPERATOR(ior,      operator|=,   l |= r)
+PYBIND11_UNARY_OPERATOR(neg,        operator-,    -l)
+PYBIND11_UNARY_OPERATOR(pos,        operator+,    +l)
+PYBIND11_UNARY_OPERATOR(abs,        abs,          std::abs(l))
+PYBIND11_UNARY_OPERATOR(invert,     operator~,    (~l))
+PYBIND11_UNARY_OPERATOR(bool,       operator!,    !!l)
+PYBIND11_UNARY_OPERATOR(int,        int_,         (int) l)
+PYBIND11_UNARY_OPERATOR(float,      float_,       (double) l)
+
+#undef PYBIND11_BINARY_OPERATOR
+#undef PYBIND11_INPLACE_OPERATOR
+#undef PYBIND11_UNARY_OPERATOR
+NAMESPACE_END(detail)
+
+using detail::self;
+
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/options.h

@@ -0,0 +1,65 @@
+/*
+    pybind11/options.h: global settings that are configurable at runtime.
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "common.h"
+
+NAMESPACE_BEGIN(pybind11)
+
+class options {
+public:
+
+    // Default RAII constructor, which leaves settings as they currently are.
+    options() : previous_state(global_state()) {}
+
+    // Class is non-copyable.
+    options(const options&) = delete;
+    options& operator=(const options&) = delete;
+
+    // Destructor, which restores settings that were in effect before.
+    ~options() {
+        global_state() = previous_state;
+    }
+
+    // Setter methods (affect the global state):
+
+    options& disable_user_defined_docstrings() & { global_state().show_user_defined_docstrings = false; return *this; }
+
+    options& enable_user_defined_docstrings() & { global_state().show_user_defined_docstrings = true; return *this; }
+
+    options& disable_function_signatures() & { global_state().show_function_signatures = false; return *this; }
+
+    options& enable_function_signatures() & { global_state().show_function_signatures = true; return *this; }
+
+    // Getter methods (return the global state):
+
+    static bool show_user_defined_docstrings() { return global_state().show_user_defined_docstrings; }
+
+    static bool show_function_signatures() { return global_state().show_function_signatures; }
+
+    // This type is not meant to be allocated on the heap.
+    void* operator new(size_t) = delete;
+
+private:
+
+    struct state {
+        bool show_user_defined_docstrings = true;  //< Include user-supplied texts in docstrings.
+        bool show_function_signatures = true;      //< Include auto-generated function signatures in docstrings.
+    };
+
+    static state &global_state() {
+        static state instance;
+        return instance;
+    }
+
+    state previous_state;
+};
+
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/pytypes.h

@@ -0,0 +1,920 @@
+/*
+    pybind11/typeid.h: Convenience wrapper classes for basic Python types
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "common.h"
+#include <utility>
+#include <type_traits>
+
+NAMESPACE_BEGIN(pybind11)
+
+/* A few forward declarations */
+class handle; class object;
+class str; class iterator;
+struct arg; struct arg_v;
+
+NAMESPACE_BEGIN(detail)
+class args_proxy;
+inline bool isinstance_generic(handle obj, const std::type_info &tp);
+
+// Accessor forward declarations
+template <typename Policy> class accessor;
+namespace accessor_policies {
+    struct obj_attr;
+    struct str_attr;
+    struct generic_item;
+    struct sequence_item;
+    struct list_item;
+    struct tuple_item;
+}
+using obj_attr_accessor = accessor<accessor_policies::obj_attr>;
+using str_attr_accessor = accessor<accessor_policies::str_attr>;
+using item_accessor = accessor<accessor_policies::generic_item>;
+using sequence_accessor = accessor<accessor_policies::sequence_item>;
+using list_accessor = accessor<accessor_policies::list_item>;
+using tuple_accessor = accessor<accessor_policies::tuple_item>;
+
+/// Tag and check to identify a class which implements the Python object API
+class pyobject_tag { };
+template <typename T> using is_pyobject = std::is_base_of<pyobject_tag, typename std::remove_reference<T>::type>;
+
+/// Mixin which adds common functions to handle, object and various accessors.
+/// The only requirement for `Derived` is to implement `PyObject *Derived::ptr() const`.
+template <typename Derived>
+class object_api : public pyobject_tag {
+    const Derived &derived() const { return static_cast<const Derived &>(*this); }
+
+public:
+    iterator begin() const;
+    iterator end() const;
+    item_accessor operator[](handle key) const;
+    item_accessor operator[](const char *key) const;
+    obj_attr_accessor attr(handle key) const;
+    str_attr_accessor attr(const char *key) const;
+    args_proxy operator*() const;
+    template <typename T> bool contains(T &&key) const;
+
+    template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
+    object operator()(Args &&...args) const;
+    template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
+    PYBIND11_DEPRECATED("call(...) was deprecated in favor of operator()(...)")
+        object call(Args&&... args) const;
+
+    bool is_none() const { return derived().ptr() == Py_None; }
+    PYBIND11_DEPRECATED("Instead of obj.str(), use py::str(obj)")
+    pybind11::str str() const;
+
+    int ref_count() const { return static_cast<int>(Py_REFCNT(derived().ptr())); }
+    handle get_type() const;
+};
+
+NAMESPACE_END(detail)
+
+/// Holds a reference to a Python object (no reference counting)
+class handle : public detail::object_api<handle> {
+public:
+    handle() = default;
+    handle(PyObject *ptr) : m_ptr(ptr) { } // Allow implicit conversion from PyObject*
+
+    PyObject *ptr() const { return m_ptr; }
+    PyObject *&ptr() { return m_ptr; }
+    const handle& inc_ref() const { Py_XINCREF(m_ptr); return *this; }
+    const handle& dec_ref() const { Py_XDECREF(m_ptr); return *this; }
+
+    template <typename T> T cast() const;
+    explicit operator bool() const { return m_ptr != nullptr; }
+    bool operator==(const handle &h) const { return m_ptr == h.m_ptr; }
+    bool operator!=(const handle &h) const { return m_ptr != h.m_ptr; }
+    PYBIND11_DEPRECATED("Use handle::operator bool() instead")
+    bool check() const { return m_ptr != nullptr; }
+protected:
+    PyObject *m_ptr = nullptr;
+};
+
+/// Holds a reference to a Python object (with reference counting)
+class object : public handle {
+public:
+    object() = default;
+    PYBIND11_DEPRECATED("Use reinterpret_borrow<object>() or reinterpret_steal<object>()")
+    object(handle h, bool is_borrowed) : handle(h) { if (is_borrowed) inc_ref(); }
+    object(const object &o) : handle(o) { inc_ref(); }
+    object(object &&other) noexcept { m_ptr = other.m_ptr; other.m_ptr = nullptr; }
+    ~object() { dec_ref(); }
+
+    handle release() {
+      PyObject *tmp = m_ptr;
+      m_ptr = nullptr;
+      return handle(tmp);
+    }
+
+    object& operator=(const object &other) {
+        other.inc_ref();
+        dec_ref();
+        m_ptr = other.m_ptr;
+        return *this;
+    }
+
+    object& operator=(object &&other) noexcept {
+        if (this != &other) {
+            handle temp(m_ptr);
+            m_ptr = other.m_ptr;
+            other.m_ptr = nullptr;
+            temp.dec_ref();
+        }
+        return *this;
+    }
+
+    // Calling cast() on an object lvalue just copies (via handle::cast)
+    template <typename T> T cast() const &;
+    // Calling on an object rvalue does a move, if needed and/or possible
+    template <typename T> T cast() &&;
+
+protected:
+    // Tags for choosing constructors from raw PyObject *
+    struct borrowed_t { }; static constexpr borrowed_t borrowed{};
+    struct stolen_t { }; static constexpr stolen_t stolen{};
+
+    template <typename T> friend T reinterpret_borrow(handle);
+    template <typename T> friend T reinterpret_steal(handle);
+
+public:
+    // Only accessible from derived classes and the reinterpret_* functions
+    object(handle h, borrowed_t) : handle(h) { inc_ref(); }
+    object(handle h, stolen_t) : handle(h) { }
+};
+
+/** The following functions don't do any kind of conversion, they simply declare
+    that a PyObject is a certain type and borrow or steal the reference. */
+template <typename T> T reinterpret_borrow(handle h) { return {h, object::borrowed}; }
+template <typename T> T reinterpret_steal(handle h) { return {h, object::stolen}; }
+
+/// Check if `obj` is an instance of type `T`
+template <typename T, detail::enable_if_t<std::is_base_of<object, T>::value, int> = 0>
+bool isinstance(handle obj) { return T::_check(obj); }
+
+template <typename T, detail::enable_if_t<!std::is_base_of<object, T>::value, int> = 0>
+bool isinstance(handle obj) { return detail::isinstance_generic(obj, typeid(T)); }
+
+template <> inline bool isinstance<handle>(handle obj) = delete;
+template <> inline bool isinstance<object>(handle obj) { return obj.ptr() != nullptr; }
+
+inline bool hasattr(handle obj, handle name) {
+    return PyObject_HasAttr(obj.ptr(), name.ptr()) == 1;
+}
+
+inline bool hasattr(handle obj, const char *name) {
+    return PyObject_HasAttrString(obj.ptr(), name) == 1;
+}
+
+inline object getattr(handle obj, handle name) {
+    PyObject *result = PyObject_GetAttr(obj.ptr(), name.ptr());
+    if (!result) { throw error_already_set(); }
+    return reinterpret_steal<object>(result);
+}
+
+inline object getattr(handle obj, const char *name) {
+    PyObject *result = PyObject_GetAttrString(obj.ptr(), name);
+    if (!result) { throw error_already_set(); }
+    return reinterpret_steal<object>(result);
+}
+
+inline object getattr(handle obj, handle name, handle default_) {
+    if (PyObject *result = PyObject_GetAttr(obj.ptr(), name.ptr())) {
+        return reinterpret_steal<object>(result);
+    } else {
+        PyErr_Clear();
+        return reinterpret_borrow<object>(default_);
+    }
+}
+
+inline object getattr(handle obj, const char *name, handle default_) {
+    if (PyObject *result = PyObject_GetAttrString(obj.ptr(), name)) {
+        return reinterpret_steal<object>(result);
+    } else {
+        PyErr_Clear();
+        return reinterpret_borrow<object>(default_);
+    }
+}
+
+inline void setattr(handle obj, handle name, handle value) {
+    if (PyObject_SetAttr(obj.ptr(), name.ptr(), value.ptr()) != 0) { throw error_already_set(); }
+}
+
+inline void setattr(handle obj, const char *name, handle value) {
+    if (PyObject_SetAttrString(obj.ptr(), name, value.ptr()) != 0) { throw error_already_set(); }
+}
+
+NAMESPACE_BEGIN(detail)
+inline handle get_function(handle value) {
+    if (value) {
+#if PY_MAJOR_VERSION >= 3
+        if (PyInstanceMethod_Check(value.ptr()))
+            value = PyInstanceMethod_GET_FUNCTION(value.ptr());
+#endif
+        if (PyMethod_Check(value.ptr()))
+            value = PyMethod_GET_FUNCTION(value.ptr());
+    }
+    return value;
+}
+
+// Helper aliases/functions to support implicit casting of values given to python accessors/methods.
+// When given a pyobject, this simply returns the pyobject as-is; for other C++ type, the value goes
+// through pybind11::cast(obj) to convert it to an `object`.
+template <typename T, enable_if_t<is_pyobject<T>::value, int> = 0>
+auto object_or_cast(T &&o) -> decltype(std::forward<T>(o)) { return std::forward<T>(o); }
+// The following casting version is implemented in cast.h:
+template <typename T, enable_if_t<!is_pyobject<T>::value, int> = 0>
+object object_or_cast(T &&o);
+// Match a PyObject*, which we want to convert directly to handle via its converting constructor
+inline handle object_or_cast(PyObject *ptr) { return ptr; }
+
+
+template <typename Policy>
+class accessor : public object_api<accessor<Policy>> {
+    using key_type = typename Policy::key_type;
+
+public:
+    accessor(handle obj, key_type key) : obj(obj), key(std::move(key)) { }
+
+    // accessor overload required to override default assignment operator (templates are not allowed
+    // to replace default compiler-generated assignments).
+    void operator=(const accessor &a) && { std::move(*this).operator=(handle(a)); }
+    void operator=(const accessor &a) & { operator=(handle(a)); }
+
+    template <typename T> void operator=(T &&value) && {
+        Policy::set(obj, key, object_or_cast(std::forward<T>(value)));
+    }
+    template <typename T> void operator=(T &&value) & {
+        get_cache() = reinterpret_borrow<object>(object_or_cast(std::forward<T>(value)));
+    }
+
+    template <typename T = Policy>
+    PYBIND11_DEPRECATED("Use of obj.attr(...) as bool is deprecated in favor of pybind11::hasattr(obj, ...)")
+    explicit operator enable_if_t<std::is_same<T, accessor_policies::str_attr>::value ||
+            std::is_same<T, accessor_policies::obj_attr>::value, bool>() const {
+        return hasattr(obj, key);
+    }
+    template <typename T = Policy>
+    PYBIND11_DEPRECATED("Use of obj[key] as bool is deprecated in favor of obj.contains(key)")
+    explicit operator enable_if_t<std::is_same<T, accessor_policies::generic_item>::value, bool>() const {
+        return obj.contains(key);
+    }
+
+    operator object() const { return get_cache(); }
+    PyObject *ptr() const { return get_cache().ptr(); }
+    template <typename T> T cast() const { return get_cache().template cast<T>(); }
+
+private:
+    object &get_cache() const {
+        if (!cache) { cache = Policy::get(obj, key); }
+        return cache;
+    }
+
+private:
+    handle obj;
+    key_type key;
+    mutable object cache;
+};
+
+NAMESPACE_BEGIN(accessor_policies)
+struct obj_attr {
+    using key_type = object;
+    static object get(handle obj, handle key) { return getattr(obj, key); }
+    static void set(handle obj, handle key, handle val) { setattr(obj, key, val); }
+};
+
+struct str_attr {
+    using key_type = const char *;
+    static object get(handle obj, const char *key) { return getattr(obj, key); }
+    static void set(handle obj, const char *key, handle val) { setattr(obj, key, val); }
+};
+
+struct generic_item {
+    using key_type = object;
+
+    static object get(handle obj, handle key) {
+        PyObject *result = PyObject_GetItem(obj.ptr(), key.ptr());
+        if (!result) { throw error_already_set(); }
+        return reinterpret_steal<object>(result);
+    }
+
+    static void set(handle obj, handle key, handle val) {
+        if (PyObject_SetItem(obj.ptr(), key.ptr(), val.ptr()) != 0) { throw error_already_set(); }
+    }
+};
+
+struct sequence_item {
+    using key_type = size_t;
+
+    static object get(handle obj, size_t index) {
+        PyObject *result = PySequence_GetItem(obj.ptr(), static_cast<ssize_t>(index));
+        if (!result) { throw error_already_set(); }
+        return reinterpret_borrow<object>(result);
+    }
+
+    static void set(handle obj, size_t index, handle val) {
+        // PySequence_SetItem does not steal a reference to 'val'
+        if (PySequence_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.ptr()) != 0) {
+            throw error_already_set();
+        }
+    }
+};
+
+struct list_item {
+    using key_type = size_t;
+
+    static object get(handle obj, size_t index) {
+        PyObject *result = PyList_GetItem(obj.ptr(), static_cast<ssize_t>(index));
+        if (!result) { throw error_already_set(); }
+        return reinterpret_borrow<object>(result);
+    }
+
+    static void set(handle obj, size_t index, handle val) {
+        // PyList_SetItem steals a reference to 'val'
+        if (PyList_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.inc_ref().ptr()) != 0) {
+            throw error_already_set();
+        }
+    }
+};
+
+struct tuple_item {
+    using key_type = size_t;
+
+    static object get(handle obj, size_t index) {
+        PyObject *result = PyTuple_GetItem(obj.ptr(), static_cast<ssize_t>(index));
+        if (!result) { throw error_already_set(); }
+        return reinterpret_borrow<object>(result);
+    }
+
+    static void set(handle obj, size_t index, handle val) {
+        // PyTuple_SetItem steals a reference to 'val'
+        if (PyTuple_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.inc_ref().ptr()) != 0) {
+            throw error_already_set();
+        }
+    }
+};
+NAMESPACE_END(accessor_policies)
+
+struct dict_iterator {
+public:
+    explicit dict_iterator(handle dict = handle(), ssize_t pos = -1) : dict(dict), pos(pos) { }
+    dict_iterator& operator++() {
+        if (!PyDict_Next(dict.ptr(), &pos, &key.ptr(), &value.ptr()))
+            pos = -1;
+        return *this;
+    }
+    std::pair<handle, handle> operator*() const {
+        return std::make_pair(key, value);
+    }
+    bool operator==(const dict_iterator &it) const { return it.pos == pos; }
+    bool operator!=(const dict_iterator &it) const { return it.pos != pos; }
+private:
+    handle dict, key, value;
+    ssize_t pos = 0;
+};
+
+inline bool PyIterable_Check(PyObject *obj) {
+    PyObject *iter = PyObject_GetIter(obj);
+    if (iter) {
+        Py_DECREF(iter);
+        return true;
+    } else {
+        PyErr_Clear();
+        return false;
+    }
+}
+
+inline bool PyNone_Check(PyObject *o) { return o == Py_None; }
+
+inline bool PyUnicode_Check_Permissive(PyObject *o) { return PyUnicode_Check(o) || PYBIND11_BYTES_CHECK(o); }
+
+class kwargs_proxy : public handle {
+public:
+    explicit kwargs_proxy(handle h) : handle(h) { }
+};
+
+class args_proxy : public handle {
+public:
+    explicit args_proxy(handle h) : handle(h) { }
+    kwargs_proxy operator*() const { return kwargs_proxy(*this); }
+};
+
+/// Python argument categories (using PEP 448 terms)
+template <typename T> using is_keyword = std::is_base_of<arg, T>;
+template <typename T> using is_s_unpacking = std::is_same<args_proxy, T>; // * unpacking
+template <typename T> using is_ds_unpacking = std::is_same<kwargs_proxy, T>; // ** unpacking
+template <typename T> using is_positional = bool_constant<
+    !is_keyword<T>::value && !is_s_unpacking<T>::value && !is_ds_unpacking<T>::value
+>;
+template <typename T> using is_keyword_or_ds = bool_constant<
+    is_keyword<T>::value || is_ds_unpacking<T>::value
+>;
+
+// Call argument collector forward declarations
+template <return_value_policy policy = return_value_policy::automatic_reference>
+class simple_collector;
+template <return_value_policy policy = return_value_policy::automatic_reference>
+class unpacking_collector;
+
+NAMESPACE_END(detail)
+
+// TODO: After the deprecated constructors are removed, this macro can be simplified by
+//       inheriting ctors: `using Parent::Parent`. It's not an option right now because
+//       the `using` statement triggers the parent deprecation warning even if the ctor
+//       isn't even used.
+#define PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
+    public: \
+        PYBIND11_DEPRECATED("Use reinterpret_borrow<"#Name">() or reinterpret_steal<"#Name">()") \
+        Name(handle h, bool is_borrowed) : Parent(is_borrowed ? Parent(h, borrowed) : Parent(h, stolen)) { } \
+        Name(handle h, borrowed_t) : Parent(h, borrowed) { } \
+        Name(handle h, stolen_t) : Parent(h, stolen) { } \
+        PYBIND11_DEPRECATED("Use py::isinstance<py::python_type>(obj) instead") \
+        bool check() const { return m_ptr != nullptr && (bool) CheckFun(m_ptr); } \
+        static bool _check(handle h) { return h.ptr() != nullptr && CheckFun(h.ptr()); }
+
+#define PYBIND11_OBJECT_CVT(Name, Parent, CheckFun, ConvertFun) \
+    PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
+    /* This is deliberately not 'explicit' to allow implicit conversion from object: */ \
+    Name(const object &o) : Parent(ConvertFun(o.ptr()), stolen) { if (!m_ptr) throw error_already_set(); }
+
+#define PYBIND11_OBJECT(Name, Parent, CheckFun) \
+    PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
+    /* This is deliberately not 'explicit' to allow implicit conversion from object: */ \
+    Name(const object &o) : Parent(o) { } \
+    Name(object &&o) : Parent(std::move(o)) { }
+
+#define PYBIND11_OBJECT_DEFAULT(Name, Parent, CheckFun) \
+    PYBIND11_OBJECT(Name, Parent, CheckFun) \
+    Name() : Parent() { }
+
+class iterator : public object {
+public:
+    /** Caveat: copying an iterator does not (and cannot) clone the internal
+        state of the Python iterable */
+    PYBIND11_OBJECT_DEFAULT(iterator, object, PyIter_Check)
+
+    iterator& operator++() {
+        if (m_ptr)
+            advance();
+        return *this;
+    }
+
+    /** Caveat: this postincrement operator does not (and cannot) clone the
+        internal state of the Python iterable. It should only be used to
+        retrieve the current iterate using <tt>operator*()</tt> */
+    iterator operator++(int) {
+        iterator rv(*this);
+        rv.value = value;
+        if (m_ptr)
+            advance();
+        return rv;
+    }
+
+    bool operator==(const iterator &it) const { return *it == **this; }
+    bool operator!=(const iterator &it) const { return *it != **this; }
+
+    handle operator*() const {
+        if (!ready && m_ptr) {
+            auto& self = const_cast<iterator &>(*this);
+            self.advance();
+            self.ready = true;
+        }
+        return value;
+    }
+
+private:
+    void advance() { value = reinterpret_steal<object>(PyIter_Next(m_ptr)); }
+
+private:
+    object value = {};
+    bool ready = false;
+};
+
+class iterable : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(iterable, object, detail::PyIterable_Check)
+};
+
+class bytes;
+
+class str : public object {
+public:
+    PYBIND11_OBJECT_CVT(str, object, detail::PyUnicode_Check_Permissive, raw_str)
+
+    str(const char *c, size_t n)
+        : object(PyUnicode_FromStringAndSize(c, (ssize_t) n), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate string object!");
+    }
+
+    // 'explicit' is explicitly omitted from the following constructors to allow implicit conversion to py::str from C++ string-like objects
+    str(const char *c = "")
+        : object(PyUnicode_FromString(c), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate string object!");
+    }
+
+    str(const std::string &s) : str(s.data(), s.size()) { }
+
+    explicit str(const bytes &b);
+
+    explicit str(handle h) : object(raw_str(h.ptr()), stolen) { }
+
+    operator std::string() const {
+        object temp = *this;
+        if (PyUnicode_Check(m_ptr)) {
+            temp = reinterpret_steal<object>(PyUnicode_AsUTF8String(m_ptr));
+            if (!temp)
+                pybind11_fail("Unable to extract string contents! (encoding issue)");
+        }
+        char *buffer;
+        ssize_t length;
+        if (PYBIND11_BYTES_AS_STRING_AND_SIZE(temp.ptr(), &buffer, &length))
+            pybind11_fail("Unable to extract string contents! (invalid type)");
+        return std::string(buffer, (size_t) length);
+    }
+
+    template <typename... Args>
+    str format(Args &&...args) const {
+        return attr("format")(std::forward<Args>(args)...);
+    }
+
+private:
+    /// Return string representation -- always returns a new reference, even if already a str
+    static PyObject *raw_str(PyObject *op) {
+        PyObject *str_value = PyObject_Str(op);
+#if PY_MAJOR_VERSION < 3
+        if (!str_value) throw error_already_set();
+        PyObject *unicode = PyUnicode_FromEncodedObject(str_value, "utf-8", nullptr);
+        Py_XDECREF(str_value); str_value = unicode;
+#endif
+        return str_value;
+    }
+};
+
+inline namespace literals {
+/// String literal version of str
+inline str operator"" _s(const char *s, size_t size) { return {s, size}; }
+}
+
+class bytes : public object {
+public:
+    PYBIND11_OBJECT(bytes, object, PYBIND11_BYTES_CHECK)
+
+    // Allow implicit conversion:
+    bytes(const char *c = "")
+        : object(PYBIND11_BYTES_FROM_STRING(c), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate bytes object!");
+    }
+
+    bytes(const char *c, size_t n)
+        : object(PYBIND11_BYTES_FROM_STRING_AND_SIZE(c, (ssize_t) n), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate bytes object!");
+    }
+
+    // Allow implicit conversion:
+    bytes(const std::string &s) : bytes(s.data(), s.size()) { }
+
+    explicit bytes(const pybind11::str &s);
+
+    operator std::string() const {
+        char *buffer;
+        ssize_t length;
+        if (PYBIND11_BYTES_AS_STRING_AND_SIZE(m_ptr, &buffer, &length))
+            pybind11_fail("Unable to extract bytes contents!");
+        return std::string(buffer, (size_t) length);
+    }
+};
+
+inline bytes::bytes(const pybind11::str &s) {
+    object temp = s;
+    if (PyUnicode_Check(s.ptr())) {
+        temp = reinterpret_steal<object>(PyUnicode_AsUTF8String(s.ptr()));
+        if (!temp)
+            pybind11_fail("Unable to extract string contents! (encoding issue)");
+    }
+    char *buffer;
+    ssize_t length;
+    if (PYBIND11_BYTES_AS_STRING_AND_SIZE(temp.ptr(), &buffer, &length))
+        pybind11_fail("Unable to extract string contents! (invalid type)");
+    auto obj = reinterpret_steal<object>(PYBIND11_BYTES_FROM_STRING_AND_SIZE(buffer, length));
+    if (!obj)
+        pybind11_fail("Could not allocate bytes object!");
+    m_ptr = obj.release().ptr();
+}
+
+inline str::str(const bytes& b) {
+    char *buffer;
+    ssize_t length;
+    if (PYBIND11_BYTES_AS_STRING_AND_SIZE(b.ptr(), &buffer, &length))
+        pybind11_fail("Unable to extract bytes contents!");
+    auto obj = reinterpret_steal<object>(PyUnicode_FromStringAndSize(buffer, (ssize_t) length));
+    if (!obj)
+        pybind11_fail("Could not allocate string object!");
+    m_ptr = obj.release().ptr();
+}
+
+class none : public object {
+public:
+    PYBIND11_OBJECT(none, object, detail::PyNone_Check)
+    none() : object(Py_None, borrowed) { }
+};
+
+class bool_ : public object {
+public:
+    PYBIND11_OBJECT_CVT(bool_, object, PyBool_Check, raw_bool)
+    bool_() : object(Py_False, borrowed) { }
+    // Allow implicit conversion from and to `bool`:
+    bool_(bool value) : object(value ? Py_True : Py_False, borrowed) { }
+    operator bool() const { return m_ptr && PyLong_AsLong(m_ptr) != 0; }
+
+private:
+    /// Return the truth value of an object -- always returns a new reference
+    static PyObject *raw_bool(PyObject *op) {
+        const auto value = PyObject_IsTrue(op);
+        if (value == -1) return nullptr;
+        return handle(value ? Py_True : Py_False).inc_ref().ptr();
+    }
+};
+
+class int_ : public object {
+public:
+    PYBIND11_OBJECT_CVT(int_, object, PYBIND11_LONG_CHECK, PyNumber_Long)
+    int_() : object(PyLong_FromLong(0), stolen) { }
+    // Allow implicit conversion from C++ integral types:
+    template <typename T,
+              detail::enable_if_t<std::is_integral<T>::value, int> = 0>
+    int_(T value) {
+        if (sizeof(T) <= sizeof(long)) {
+            if (std::is_signed<T>::value)
+                m_ptr = PyLong_FromLong((long) value);
+            else
+                m_ptr = PyLong_FromUnsignedLong((unsigned long) value);
+        } else {
+            if (std::is_signed<T>::value)
+                m_ptr = PyLong_FromLongLong((long long) value);
+            else
+                m_ptr = PyLong_FromUnsignedLongLong((unsigned long long) value);
+        }
+        if (!m_ptr) pybind11_fail("Could not allocate int object!");
+    }
+
+    template <typename T,
+              detail::enable_if_t<std::is_integral<T>::value, int> = 0>
+    operator T() const {
+        if (sizeof(T) <= sizeof(long)) {
+            if (std::is_signed<T>::value)
+                return (T) PyLong_AsLong(m_ptr);
+            else
+                return (T) PyLong_AsUnsignedLong(m_ptr);
+        } else {
+            if (std::is_signed<T>::value)
+                return (T) PYBIND11_LONG_AS_LONGLONG(m_ptr);
+            else
+                return (T) PYBIND11_LONG_AS_UNSIGNED_LONGLONG(m_ptr);
+        }
+    }
+};
+
+class float_ : public object {
+public:
+    PYBIND11_OBJECT_CVT(float_, object, PyFloat_Check, PyNumber_Float)
+    // Allow implicit conversion from float/double:
+    float_(float value) : object(PyFloat_FromDouble((double) value), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate float object!");
+    }
+    float_(double value = .0) : object(PyFloat_FromDouble((double) value), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate float object!");
+    }
+    operator float() const { return (float) PyFloat_AsDouble(m_ptr); }
+    operator double() const { return (double) PyFloat_AsDouble(m_ptr); }
+};
+
+class weakref : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(weakref, object, PyWeakref_Check)
+    explicit weakref(handle obj, handle callback = {})
+        : object(PyWeakref_NewRef(obj.ptr(), callback.ptr()), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate weak reference!");
+    }
+};
+
+class slice : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(slice, object, PySlice_Check)
+    slice(ssize_t start_, ssize_t stop_, ssize_t step_) {
+        int_ start(start_), stop(stop_), step(step_);
+        m_ptr = PySlice_New(start.ptr(), stop.ptr(), step.ptr());
+        if (!m_ptr) pybind11_fail("Could not allocate slice object!");
+    }
+    bool compute(size_t length, size_t *start, size_t *stop, size_t *step,
+                 size_t *slicelength) const {
+        return PySlice_GetIndicesEx((PYBIND11_SLICE_OBJECT *) m_ptr,
+                                    (ssize_t) length, (ssize_t *) start,
+                                    (ssize_t *) stop, (ssize_t *) step,
+                                    (ssize_t *) slicelength) == 0;
+    }
+};
+
+class capsule : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(capsule, object, PyCapsule_CheckExact)
+    PYBIND11_DEPRECATED("Use reinterpret_borrow<capsule>() or reinterpret_steal<capsule>()")
+    capsule(PyObject *ptr, bool is_borrowed) : object(is_borrowed ? object(ptr, borrowed) : object(ptr, stolen)) { }
+    explicit capsule(const void *value, void (*destruct)(PyObject *) = nullptr)
+        : object(PyCapsule_New(const_cast<void*>(value), nullptr, destruct), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate capsule object!");
+    }
+    template <typename T> operator T *() const {
+        T * result = static_cast<T *>(PyCapsule_GetPointer(m_ptr, nullptr));
+        if (!result) pybind11_fail("Unable to extract capsule contents!");
+        return result;
+    }
+};
+
+class tuple : public object {
+public:
+    PYBIND11_OBJECT_CVT(tuple, object, PyTuple_Check, PySequence_Tuple)
+    explicit tuple(size_t size = 0) : object(PyTuple_New((ssize_t) size), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate tuple object!");
+    }
+    size_t size() const { return (size_t) PyTuple_Size(m_ptr); }
+    detail::tuple_accessor operator[](size_t index) const { return {*this, index}; }
+};
+
+class dict : public object {
+public:
+    PYBIND11_OBJECT_CVT(dict, object, PyDict_Check, raw_dict)
+    dict() : object(PyDict_New(), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate dict object!");
+    }
+    template <typename... Args,
+              typename = detail::enable_if_t<detail::all_of_t<detail::is_keyword_or_ds, Args...>::value>,
+              // MSVC workaround: it can't compile an out-of-line definition, so defer the collector
+              typename collector = detail::deferred_t<detail::unpacking_collector<>, Args...>>
+    explicit dict(Args &&...args) : dict(collector(std::forward<Args>(args)...).kwargs()) { }
+
+    size_t size() const { return (size_t) PyDict_Size(m_ptr); }
+    detail::dict_iterator begin() const { return (++detail::dict_iterator(*this, 0)); }
+    detail::dict_iterator end() const { return detail::dict_iterator(); }
+    void clear() const { PyDict_Clear(ptr()); }
+    bool contains(handle key) const { return PyDict_Contains(ptr(), key.ptr()) == 1; }
+    bool contains(const char *key) const { return PyDict_Contains(ptr(), pybind11::str(key).ptr()) == 1; }
+
+private:
+    /// Call the `dict` Python type -- always returns a new reference
+    static PyObject *raw_dict(PyObject *op) {
+        if (PyDict_Check(op))
+            return handle(op).inc_ref().ptr();
+        return PyObject_CallFunctionObjArgs((PyObject *) &PyDict_Type, op, nullptr);
+    }
+};
+
+class sequence : public object {
+public:
+    PYBIND11_OBJECT(sequence, object, PySequence_Check)
+    size_t size() const { return (size_t) PySequence_Size(m_ptr); }
+    detail::sequence_accessor operator[](size_t index) const { return {*this, index}; }
+};
+
+class list : public object {
+public:
+    PYBIND11_OBJECT_CVT(list, object, PyList_Check, PySequence_List)
+    explicit list(size_t size = 0) : object(PyList_New((ssize_t) size), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate list object!");
+    }
+    size_t size() const { return (size_t) PyList_Size(m_ptr); }
+    detail::list_accessor operator[](size_t index) const { return {*this, index}; }
+    template <typename T> void append(T &&val) const {
+        PyList_Append(m_ptr, detail::object_or_cast(std::forward<T>(val)).ptr());
+    }
+};
+
+class args : public tuple { PYBIND11_OBJECT_DEFAULT(args, tuple, PyTuple_Check) };
+class kwargs : public dict { PYBIND11_OBJECT_DEFAULT(kwargs, dict, PyDict_Check)  };
+
+class set : public object {
+public:
+    PYBIND11_OBJECT_CVT(set, object, PySet_Check, PySet_New)
+    set() : object(PySet_New(nullptr), stolen) {
+        if (!m_ptr) pybind11_fail("Could not allocate set object!");
+    }
+    size_t size() const { return (size_t) PySet_Size(m_ptr); }
+    template <typename T> bool add(T &&val) const {
+        return PySet_Add(m_ptr, detail::object_or_cast(std::forward<T>(val)).ptr()) == 0;
+    }
+    void clear() const { PySet_Clear(m_ptr); }
+};
+
+class function : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(function, object, PyCallable_Check)
+    bool is_cpp_function() const {
+        handle fun = detail::get_function(m_ptr);
+        return fun && PyCFunction_Check(fun.ptr());
+    }
+};
+
+class buffer : public object {
+public:
+    PYBIND11_OBJECT_DEFAULT(buffer, object, PyObject_CheckBuffer)
+
+    buffer_info request(bool writable = false) {
+        int flags = PyBUF_STRIDES | PyBUF_FORMAT;
+        if (writable) flags |= PyBUF_WRITABLE;
+        Py_buffer *view = new Py_buffer();
+        if (PyObject_GetBuffer(m_ptr, view, flags) != 0)
+            throw error_already_set();
+        return buffer_info(view);
+    }
+};
+
+class memoryview : public object {
+public:
+    explicit memoryview(const buffer_info& info) {
+        static Py_buffer buf { };
+        // Py_buffer uses signed sizes, strides and shape!..
+        static std::vector<Py_ssize_t> py_strides { };
+        static std::vector<Py_ssize_t> py_shape { };
+        buf.buf = info.ptr;
+        buf.itemsize = (Py_ssize_t) info.itemsize;
+        buf.format = const_cast<char *>(info.format.c_str());
+        buf.ndim = (int) info.ndim;
+        buf.len = (Py_ssize_t) info.size;
+        py_strides.clear();
+        py_shape.clear();
+        for (size_t i = 0; i < info.ndim; ++i) {
+            py_strides.push_back((Py_ssize_t) info.strides[i]);
+            py_shape.push_back((Py_ssize_t) info.shape[i]);
+        }
+        buf.strides = py_strides.data();
+        buf.shape = py_shape.data();
+        buf.suboffsets = nullptr;
+        buf.readonly = false;
+        buf.internal = nullptr;
+
+        m_ptr = PyMemoryView_FromBuffer(&buf);
+        if (!m_ptr)
+            pybind11_fail("Unable to create memoryview from buffer descriptor");
+    }
+
+    PYBIND11_OBJECT_CVT(memoryview, object, PyMemoryView_Check, PyMemoryView_FromObject)
+};
+
+inline size_t len(handle h) {
+    ssize_t result = PyObject_Length(h.ptr());
+    if (result < 0)
+        pybind11_fail("Unable to compute length of object");
+    return (size_t) result;
+}
+
+inline str repr(handle h) {
+    PyObject *str_value = PyObject_Repr(h.ptr());
+    if (!str_value) throw error_already_set();
+#if PY_MAJOR_VERSION < 3
+    PyObject *unicode = PyUnicode_FromEncodedObject(str_value, "utf-8", nullptr);
+    Py_XDECREF(str_value); str_value = unicode;
+    if (!str_value) throw error_already_set();
+#endif
+    return reinterpret_steal<str>(str_value);
+}
+
+NAMESPACE_BEGIN(detail)
+template <typename D> iterator object_api<D>::begin() const {
+    return reinterpret_steal<iterator>(PyObject_GetIter(derived().ptr()));
+}
+template <typename D> iterator object_api<D>::end() const {
+    return {};
+}
+template <typename D> item_accessor object_api<D>::operator[](handle key) const {
+    return {derived(), reinterpret_borrow<object>(key)};
+}
+template <typename D> item_accessor object_api<D>::operator[](const char *key) const {
+    return {derived(), pybind11::str(key)};
+}
+template <typename D> obj_attr_accessor object_api<D>::attr(handle key) const {
+    return {derived(), reinterpret_borrow<object>(key)};
+}
+template <typename D> str_attr_accessor object_api<D>::attr(const char *key) const {
+    return {derived(), key};
+}
+template <typename D> args_proxy object_api<D>::operator*() const {
+    return args_proxy(derived().ptr());
+}
+template <typename D> template <typename T> bool object_api<D>::contains(T &&key) const {
+    return attr("__contains__")(std::forward<T>(key)).template cast<bool>();
+}
+
+template <typename D>
+pybind11::str object_api<D>::str() const { return pybind11::str(derived()); }
+
+template <typename D>
+handle object_api<D>::get_type() const { return (PyObject *) Py_TYPE(derived().ptr()); }
+
+NAMESPACE_END(detail)
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/stl.h

@@ -0,0 +1,276 @@
+/*
+    pybind11/stl.h: Transparent conversion for STL data types
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "pybind11.h"
+#include <set>
+#include <unordered_set>
+#include <map>
+#include <unordered_map>
+#include <iostream>
+#include <list>
+#include <valarray>
+
+#if defined(_MSC_VER)
+#pragma warning(push)
+#pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
+#endif
+
+#ifdef __has_include
+// std::optional (but including it in c++14 mode isn't allowed)
+#  if defined(PYBIND11_CPP17) && __has_include(<optional>)
+#    include <optional>
+#    define PYBIND11_HAS_OPTIONAL 1
+#  endif
+// std::experimental::optional (but not allowed in c++11 mode)
+#  if defined(PYBIND11_CPP14) && __has_include(<experimental/optional>)
+#    include <experimental/optional>
+#    if __cpp_lib_experimental_optional  // just in case
+#      define PYBIND11_HAS_EXP_OPTIONAL 1
+#    endif
+#  endif
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+template <typename Type, typename Key> struct set_caster {
+    using type = Type;
+    using key_conv = make_caster<Key>;
+
+    bool load(handle src, bool convert) {
+        if (!isinstance<pybind11::set>(src))
+            return false;
+        auto s = reinterpret_borrow<pybind11::set>(src);
+        value.clear();
+        key_conv conv;
+        for (auto entry : s) {
+            if (!conv.load(entry, convert))
+                return false;
+            value.insert(cast_op<Key>(conv));
+        }
+        return true;
+    }
+
+    static handle cast(const type &src, return_value_policy policy, handle parent) {
+        pybind11::set s;
+        for (auto const &value: src) {
+            auto value_ = reinterpret_steal<object>(key_conv::cast(value, policy, parent));
+            if (!value_ || !s.add(value_))
+                return handle();
+        }
+        return s.release();
+    }
+
+    PYBIND11_TYPE_CASTER(type, _("Set[") + key_conv::name() + _("]"));
+};
+
+template <typename Type, typename Key, typename Value> struct map_caster {
+    using key_conv   = make_caster<Key>;
+    using value_conv = make_caster<Value>;
+
+    bool load(handle src, bool convert) {
+        if (!isinstance<dict>(src))
+            return false;
+        auto d = reinterpret_borrow<dict>(src);
+        key_conv kconv;
+        value_conv vconv;
+        value.clear();
+        for (auto it : d) {
+            if (!kconv.load(it.first.ptr(), convert) ||
+                !vconv.load(it.second.ptr(), convert))
+                return false;
+            value.emplace(cast_op<Key>(kconv), cast_op<Value>(vconv));
+        }
+        return true;
+    }
+
+    static handle cast(const Type &src, return_value_policy policy, handle parent) {
+        dict d;
+        for (auto const &kv: src) {
+            auto key = reinterpret_steal<object>(key_conv::cast(kv.first, policy, parent));
+            auto value = reinterpret_steal<object>(value_conv::cast(kv.second, policy, parent));
+            if (!key || !value)
+                return handle();
+            d[key] = value;
+        }
+        return d.release();
+    }
+
+    PYBIND11_TYPE_CASTER(Type, _("Dict[") + key_conv::name() + _(", ") + value_conv::name() + _("]"));
+};
+
+template <typename Type, typename Value> struct list_caster {
+    using value_conv = make_caster<Value>;
+
+    bool load(handle src, bool convert) {
+        if (!isinstance<sequence>(src))
+            return false;
+        auto s = reinterpret_borrow<sequence>(src);
+        value_conv conv;
+        value.clear();
+        reserve_maybe(s, &value);
+        for (auto it : s) {
+            if (!conv.load(it, convert))
+                return false;
+            value.push_back(cast_op<Value>(conv));
+        }
+        return true;
+    }
+
+private:
+    template <typename T = Type,
+              enable_if_t<std::is_same<decltype(std::declval<T>().reserve(0)), void>::value, int> = 0>
+    void reserve_maybe(sequence s, Type *) { value.reserve(s.size()); }
+    void reserve_maybe(sequence, void *) { }
+
+public:
+    static handle cast(const Type &src, return_value_policy policy, handle parent) {
+        list l(src.size());
+        size_t index = 0;
+        for (auto const &value: src) {
+            auto value_ = reinterpret_steal<object>(value_conv::cast(value, policy, parent));
+            if (!value_)
+                return handle();
+            PyList_SET_ITEM(l.ptr(), index++, value_.release().ptr()); // steals a reference
+        }
+        return l.release();
+    }
+
+    PYBIND11_TYPE_CASTER(Type, _("List[") + value_conv::name() + _("]"));
+};
+
+template <typename Type, typename Alloc> struct type_caster<std::vector<Type, Alloc>>
+ : list_caster<std::vector<Type, Alloc>, Type> { };
+
+template <typename Type, typename Alloc> struct type_caster<std::list<Type, Alloc>>
+ : list_caster<std::list<Type, Alloc>, Type> { };
+
+template <typename ArrayType, typename Value, bool Resizable, size_t Size = 0> struct array_caster {
+    using value_conv = make_caster<Value>;
+
+private:
+    template <bool R = Resizable>
+    bool require_size(enable_if_t<R, size_t> size) {
+        if (value.size() != size)
+            value.resize(size);
+        return true;
+    }
+    template <bool R = Resizable>
+    bool require_size(enable_if_t<!R, size_t> size) {
+        return size == Size;
+    }
+
+public:
+    bool load(handle src, bool convert) {
+        if (!isinstance<list>(src))
+            return false;
+        auto l = reinterpret_borrow<list>(src);
+        if (!require_size(l.size()))
+            return false;
+        value_conv conv;
+        size_t ctr = 0;
+        for (auto it : l) {
+            if (!conv.load(it, convert))
+                return false;
+            value[ctr++] = cast_op<Value>(conv);
+        }
+        return true;
+    }
+
+    static handle cast(const ArrayType &src, return_value_policy policy, handle parent) {
+        list l(src.size());
+        size_t index = 0;
+        for (auto const &value: src) {
+            auto value_ = reinterpret_steal<object>(value_conv::cast(value, policy, parent));
+            if (!value_)
+                return handle();
+            PyList_SET_ITEM(l.ptr(), index++, value_.release().ptr()); // steals a reference
+        }
+        return l.release();
+    }
+
+    PYBIND11_TYPE_CASTER(ArrayType, _("List[") + value_conv::name() + _<Resizable>(_(""), _("[") + _<Size>() + _("]")) + _("]"));
+};
+
+template <typename Type, size_t Size> struct type_caster<std::array<Type, Size>>
+ : array_caster<std::array<Type, Size>, Type, false, Size> { };
+
+template <typename Type> struct type_caster<std::valarray<Type>>
+ : array_caster<std::valarray<Type>, Type, true> { };
+
+template <typename Key, typename Compare, typename Alloc> struct type_caster<std::set<Key, Compare, Alloc>>
+  : set_caster<std::set<Key, Compare, Alloc>, Key> { };
+
+template <typename Key, typename Hash, typename Equal, typename Alloc> struct type_caster<std::unordered_set<Key, Hash, Equal, Alloc>>
+  : set_caster<std::unordered_set<Key, Hash, Equal, Alloc>, Key> { };
+
+template <typename Key, typename Value, typename Compare, typename Alloc> struct type_caster<std::map<Key, Value, Compare, Alloc>>
+  : map_caster<std::map<Key, Value, Compare, Alloc>, Key, Value> { };
+
+template <typename Key, typename Value, typename Hash, typename Equal, typename Alloc> struct type_caster<std::unordered_map<Key, Value, Hash, Equal, Alloc>>
+  : map_caster<std::unordered_map<Key, Value, Hash, Equal, Alloc>, Key, Value> { };
+
+// This type caster is intended to be used for std::optional and std::experimental::optional
+template<typename T> struct optional_caster {
+    using value_conv = make_caster<typename T::value_type>;
+
+    static handle cast(const T& src, return_value_policy policy, handle parent) {
+        if (!src)
+            return none().inc_ref();
+        return value_conv::cast(*src, policy, parent);
+    }
+
+    bool load(handle src, bool convert) {
+        if (!src) {
+            return false;
+        } else if (src.is_none()) {
+            value = {};  // nullopt
+            return true;
+        }
+        value_conv inner_caster;
+        if (!inner_caster.load(src, convert))
+            return false;
+
+        value.emplace(cast_op<typename T::value_type>(inner_caster));
+        return true;
+    }
+
+    PYBIND11_TYPE_CASTER(T, _("Optional[") + value_conv::name() + _("]"));
+};
+
+#if PYBIND11_HAS_OPTIONAL
+template<typename T> struct type_caster<std::optional<T>>
+    : public optional_caster<std::optional<T>> {};
+
+template<> struct type_caster<std::nullopt_t>
+    : public void_caster<std::nullopt_t> {};
+#endif
+
+#if PYBIND11_HAS_EXP_OPTIONAL
+template<typename T> struct type_caster<std::experimental::optional<T>>
+    : public optional_caster<std::experimental::optional<T>> {};
+
+template<> struct type_caster<std::experimental::nullopt_t>
+    : public void_caster<std::experimental::nullopt_t> {};
+#endif
+
+NAMESPACE_END(detail)
+
+inline std::ostream &operator<<(std::ostream &os, const handle &obj) {
+    os << (std::string) str(obj);
+    return os;
+}
+
+NAMESPACE_END(pybind11)
+
+#if defined(_MSC_VER)
+#pragma warning(pop)
+#endif

ext/pybind11/include/pybind11/stl_bind.h

@@ -0,0 +1,541 @@
+/*
+    pybind11/std_bind.h: Binding generators for STL data types
+
+    Copyright (c) 2016 Sergey Lyskov and Wenzel Jakob
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include "common.h"
+#include "operators.h"
+
+#include <algorithm>
+#include <sstream>
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+/* SFINAE helper class used by 'is_comparable */
+template <typename T>  struct container_traits {
+    template <typename T2> static std::true_type test_comparable(decltype(std::declval<const T2 &>() == std::declval<const T2 &>())*);
+    template <typename T2> static std::false_type test_comparable(...);
+    template <typename T2> static std::true_type test_value(typename T2::value_type *);
+    template <typename T2> static std::false_type test_value(...);
+    template <typename T2> static std::true_type test_pair(typename T2::first_type *, typename T2::second_type *);
+    template <typename T2> static std::false_type test_pair(...);
+
+    static constexpr const bool is_comparable = std::is_same<std::true_type, decltype(test_comparable<T>(nullptr))>::value;
+    static constexpr const bool is_pair = std::is_same<std::true_type, decltype(test_pair<T>(nullptr, nullptr))>::value;
+    static constexpr const bool is_vector = std::is_same<std::true_type, decltype(test_value<T>(nullptr))>::value;
+    static constexpr const bool is_element = !is_pair && !is_vector;
+};
+
+/* Default: is_comparable -> std::false_type */
+template <typename T, typename SFINAE = void>
+struct is_comparable : std::false_type { };
+
+/* For non-map data structures, check whether operator== can be instantiated */
+template <typename T>
+struct is_comparable<
+    T, enable_if_t<container_traits<T>::is_element &&
+                   container_traits<T>::is_comparable>>
+    : std::true_type { };
+
+/* For a vector/map data structure, recursively check the value type (which is std::pair for maps) */
+template <typename T>
+struct is_comparable<T, enable_if_t<container_traits<T>::is_vector>> {
+    static constexpr const bool value =
+        is_comparable<typename T::value_type>::value;
+};
+
+/* For pairs, recursively check the two data types */
+template <typename T>
+struct is_comparable<T, enable_if_t<container_traits<T>::is_pair>> {
+    static constexpr const bool value =
+        is_comparable<typename T::first_type>::value &&
+        is_comparable<typename T::second_type>::value;
+};
+
+/* Fallback functions */
+template <typename, typename, typename... Args> void vector_if_copy_constructible(const Args &...) { }
+template <typename, typename, typename... Args> void vector_if_equal_operator(const Args &...) { }
+template <typename, typename, typename... Args> void vector_if_insertion_operator(const Args &...) { }
+template <typename, typename, typename... Args> void vector_modifiers(const Args &...) { }
+
+template<typename Vector, typename Class_>
+void vector_if_copy_constructible(enable_if_t<
+    std::is_copy_constructible<Vector>::value &&
+    std::is_copy_constructible<typename Vector::value_type>::value, Class_> &cl) {
+
+    cl.def(pybind11::init<const Vector &>(), "Copy constructor");
+}
+
+template<typename Vector, typename Class_>
+void vector_if_equal_operator(enable_if_t<is_comparable<Vector>::value, Class_> &cl) {
+    using T = typename Vector::value_type;
+
+    cl.def(self == self);
+    cl.def(self != self);
+
+    cl.def("count",
+        [](const Vector &v, const T &x) {
+            return std::count(v.begin(), v.end(), x);
+        },
+        arg("x"),
+        "Return the number of times ``x`` appears in the list"
+    );
+
+    cl.def("remove", [](Vector &v, const T &x) {
+            auto p = std::find(v.begin(), v.end(), x);
+            if (p != v.end())
+                v.erase(p);
+            else
+                throw pybind11::value_error();
+        },
+        arg("x"),
+        "Remove the first item from the list whose value is x. "
+        "It is an error if there is no such item."
+    );
+
+    cl.def("__contains__",
+        [](const Vector &v, const T &x) {
+            return std::find(v.begin(), v.end(), x) != v.end();
+        },
+        arg("x"),
+        "Return true the container contains ``x``"
+    );
+}
+
+// Vector modifiers -- requires a copyable vector_type:
+// (Technically, some of these (pop and __delitem__) don't actually require copyability, but it seems
+// silly to allow deletion but not insertion, so include them here too.)
+template <typename Vector, typename Class_>
+void vector_modifiers(enable_if_t<std::is_copy_constructible<typename Vector::value_type>::value, Class_> &cl) {
+    using T = typename Vector::value_type;
+    using SizeType = typename Vector::size_type;
+    using DiffType = typename Vector::difference_type;
+
+    cl.def("append",
+           [](Vector &v, const T &value) { v.push_back(value); },
+           arg("x"),
+           "Add an item to the end of the list");
+
+    cl.def("__init__", [](Vector &v, iterable it) {
+        new (&v) Vector();
+        try {
+            v.reserve(len(it));
+            for (handle h : it)
+               v.push_back(h.cast<T>());
+        } catch (...) {
+            v.~Vector();
+            throw;
+        }
+    });
+
+    cl.def("extend",
+       [](Vector &v, const Vector &src) {
+           v.reserve(v.size() + src.size());
+           v.insert(v.end(), src.begin(), src.end());
+       },
+       arg("L"),
+       "Extend the list by appending all the items in the given list"
+    );
+
+    cl.def("insert",
+        [](Vector &v, SizeType i, const T &x) {
+            v.insert(v.begin() + (DiffType) i, x);
+        },
+        arg("i") , arg("x"),
+        "Insert an item at a given position."
+    );
+
+    cl.def("pop",
+        [](Vector &v) {
+            if (v.empty())
+                throw pybind11::index_error();
+            T t = v.back();
+            v.pop_back();
+            return t;
+        },
+        "Remove and return the last item"
+    );
+
+    cl.def("pop",
+        [](Vector &v, SizeType i) {
+            if (i >= v.size())
+                throw pybind11::index_error();
+            T t = v[i];
+            v.erase(v.begin() + (DiffType) i);
+            return t;
+        },
+        arg("i"),
+        "Remove and return the item at index ``i``"
+    );
+
+    cl.def("__setitem__",
+        [](Vector &v, SizeType i, const T &t) {
+            if (i >= v.size())
+                throw pybind11::index_error();
+            v[i] = t;
+        }
+    );
+
+    /// Slicing protocol
+    cl.def("__getitem__",
+        [](const Vector &v, slice slice) -> Vector * {
+            size_t start, stop, step, slicelength;
+
+            if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
+                throw pybind11::error_already_set();
+
+            Vector *seq = new Vector();
+            seq->reserve((size_t) slicelength);
+
+            for (size_t i=0; i<slicelength; ++i) {
+                seq->push_back(v[start]);
+                start += step;
+            }
+            return seq;
+        },
+        arg("s"),
+        "Retrieve list elements using a slice object"
+    );
+
+    cl.def("__setitem__",
+        [](Vector &v, slice slice,  const Vector &value) {
+            size_t start, stop, step, slicelength;
+            if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
+                throw pybind11::error_already_set();
+
+            if (slicelength != value.size())
+                throw std::runtime_error("Left and right hand size of slice assignment have different sizes!");
+
+            for (size_t i=0; i<slicelength; ++i) {
+                v[start] = value[i];
+                start += step;
+            }
+        },
+        "Assign list elements using a slice object"
+    );
+
+    cl.def("__delitem__",
+        [](Vector &v, SizeType i) {
+            if (i >= v.size())
+                throw pybind11::index_error();
+            v.erase(v.begin() + DiffType(i));
+        },
+        "Delete the list elements at index ``i``"
+    );
+
+    cl.def("__delitem__",
+        [](Vector &v, slice slice) {
+            size_t start, stop, step, slicelength;
+
+            if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
+                throw pybind11::error_already_set();
+
+            if (step == 1 && false) {
+                v.erase(v.begin() + (DiffType) start, v.begin() + DiffType(start + slicelength));
+            } else {
+                for (size_t i = 0; i < slicelength; ++i) {
+                    v.erase(v.begin() + DiffType(start));
+                    start += step - 1;
+                }
+            }
+        },
+        "Delete list elements using a slice object"
+    );
+
+}
+
+// If the type has an operator[] that doesn't return a reference (most notably std::vector<bool>),
+// we have to access by copying; otherwise we return by reference.
+template <typename Vector> using vector_needs_copy = bool_constant<
+    !std::is_same<decltype(std::declval<Vector>()[typename Vector::size_type()]), typename Vector::value_type &>::value>;
+
+// The usual case: access and iterate by reference
+template <typename Vector, typename Class_>
+void vector_accessor(enable_if_t<!vector_needs_copy<Vector>::value, Class_> &cl) {
+    using T = typename Vector::value_type;
+    using SizeType = typename Vector::size_type;
+    using ItType   = typename Vector::iterator;
+
+    cl.def("__getitem__",
+        [](Vector &v, SizeType i) -> T & {
+            if (i >= v.size())
+                throw pybind11::index_error();
+            return v[i];
+        },
+        return_value_policy::reference_internal // ref + keepalive
+    );
+
+    cl.def("__iter__",
+           [](Vector &v) {
+               return pybind11::make_iterator<
+                   return_value_policy::reference_internal, ItType, ItType, T&>(
+                   v.begin(), v.end());
+           },
+           keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
+    );
+}
+
+// The case for special objects, like std::vector<bool>, that have to be returned-by-copy:
+template <typename Vector, typename Class_>
+void vector_accessor(enable_if_t<vector_needs_copy<Vector>::value, Class_> &cl) {
+    using T = typename Vector::value_type;
+    using SizeType = typename Vector::size_type;
+    using ItType   = typename Vector::iterator;
+    cl.def("__getitem__",
+        [](const Vector &v, SizeType i) -> T {
+            if (i >= v.size())
+                throw pybind11::index_error();
+            return v[i];
+        }
+    );
+
+    cl.def("__iter__",
+           [](Vector &v) {
+               return pybind11::make_iterator<
+                   return_value_policy::copy, ItType, ItType, T>(
+                   v.begin(), v.end());
+           },
+           keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
+    );
+}
+
+template <typename Vector, typename Class_> auto vector_if_insertion_operator(Class_ &cl, std::string const &name)
+    -> decltype(std::declval<std::ostream&>() << std::declval<typename Vector::value_type>(), void()) {
+    using size_type = typename Vector::size_type;
+
+    cl.def("__repr__",
+           [name](Vector &v) {
+            std::ostringstream s;
+            s << name << '[';
+            for (size_type i=0; i < v.size(); ++i) {
+                s << v[i];
+                if (i != v.size() - 1)
+                    s << ", ";
+            }
+            s << ']';
+            return s.str();
+        },
+        "Return the canonical string representation of this list."
+    );
+}
+
+NAMESPACE_END(detail)
+
+//
+// std::vector
+//
+template <typename Vector, typename holder_type = std::unique_ptr<Vector>, typename... Args>
+pybind11::class_<Vector, holder_type> bind_vector(pybind11::module &m, std::string const &name, Args&&... args) {
+    using Class_ = pybind11::class_<Vector, holder_type>;
+
+    Class_ cl(m, name.c_str(), std::forward<Args>(args)...);
+
+    cl.def(pybind11::init<>());
+
+    // Register copy constructor (if possible)
+    detail::vector_if_copy_constructible<Vector, Class_>(cl);
+
+    // Register comparison-related operators and functions (if possible)
+    detail::vector_if_equal_operator<Vector, Class_>(cl);
+
+    // Register stream insertion operator (if possible)
+    detail::vector_if_insertion_operator<Vector, Class_>(cl, name);
+
+    // Modifiers require copyable vector value type
+    detail::vector_modifiers<Vector, Class_>(cl);
+
+    // Accessor and iterator; return by value if copyable, otherwise we return by ref + keep-alive
+    detail::vector_accessor<Vector, Class_>(cl);
+
+    cl.def("__bool__",
+        [](const Vector &v) -> bool {
+            return !v.empty();
+        },
+        "Check whether the list is nonempty"
+    );
+
+    cl.def("__len__", &Vector::size);
+
+
+
+
+#if 0
+    // C++ style functions deprecated, leaving it here as an example
+    cl.def(pybind11::init<size_type>());
+
+    cl.def("resize",
+         (void (Vector::*) (size_type count)) & Vector::resize,
+         "changes the number of elements stored");
+
+    cl.def("erase",
+        [](Vector &v, SizeType i) {
+        if (i >= v.size())
+            throw pybind11::index_error();
+        v.erase(v.begin() + i);
+    }, "erases element at index ``i``");
+
+    cl.def("empty",         &Vector::empty,         "checks whether the container is empty");
+    cl.def("size",          &Vector::size,          "returns the number of elements");
+    cl.def("push_back", (void (Vector::*)(const T&)) &Vector::push_back, "adds an element to the end");
+    cl.def("pop_back",                               &Vector::pop_back, "removes the last element");
+
+    cl.def("max_size",      &Vector::max_size,      "returns the maximum possible number of elements");
+    cl.def("reserve",       &Vector::reserve,       "reserves storage");
+    cl.def("capacity",      &Vector::capacity,      "returns the number of elements that can be held in currently allocated storage");
+    cl.def("shrink_to_fit", &Vector::shrink_to_fit, "reduces memory usage by freeing unused memory");
+
+    cl.def("clear", &Vector::clear, "clears the contents");
+    cl.def("swap",   &Vector::swap, "swaps the contents");
+
+    cl.def("front", [](Vector &v) {
+        if (v.size()) return v.front();
+        else throw pybind11::index_error();
+    }, "access the first element");
+
+    cl.def("back", [](Vector &v) {
+        if (v.size()) return v.back();
+        else throw pybind11::index_error();
+    }, "access the last element ");
+
+#endif
+
+    return cl;
+}
+
+
+
+//
+// std::map, std::unordered_map
+//
+
+NAMESPACE_BEGIN(detail)
+
+/* Fallback functions */
+template <typename, typename, typename... Args> void map_if_insertion_operator(const Args &...) { }
+template <typename, typename, typename... Args> void map_assignment(const Args &...) { }
+
+// Map assignment when copy-assignable: just copy the value
+template <typename Map, typename Class_>
+void map_assignment(enable_if_t<std::is_copy_assignable<typename Map::mapped_type>::value, Class_> &cl) {
+    using KeyType = typename Map::key_type;
+    using MappedType = typename Map::mapped_type;
+
+    cl.def("__setitem__",
+           [](Map &m, const KeyType &k, const MappedType &v) {
+               auto it = m.find(k);
+               if (it != m.end()) it->second = v;
+               else m.emplace(k, v);
+           }
+    );
+}
+
+// Not copy-assignable, but still copy-constructible: we can update the value by erasing and reinserting
+template<typename Map, typename Class_>
+void map_assignment(enable_if_t<
+        !std::is_copy_assignable<typename Map::mapped_type>::value &&
+        std::is_copy_constructible<typename Map::mapped_type>::value,
+        Class_> &cl) {
+    using KeyType = typename Map::key_type;
+    using MappedType = typename Map::mapped_type;
+
+    cl.def("__setitem__",
+           [](Map &m, const KeyType &k, const MappedType &v) {
+               // We can't use m[k] = v; because value type might not be default constructable
+               auto r = m.emplace(k, v);
+               if (!r.second) {
+                   // value type is not copy assignable so the only way to insert it is to erase it first...
+                   m.erase(r.first);
+                   m.emplace(k, v);
+               }
+           }
+    );
+}
+
+
+template <typename Map, typename Class_> auto map_if_insertion_operator(Class_ &cl, std::string const &name)
+-> decltype(std::declval<std::ostream&>() << std::declval<typename Map::key_type>() << std::declval<typename Map::mapped_type>(), void()) {
+
+    cl.def("__repr__",
+           [name](Map &m) {
+            std::ostringstream s;
+            s << name << '{';
+            bool f = false;
+            for (auto const &kv : m) {
+                if (f)
+                    s << ", ";
+                s << kv.first << ": " << kv.second;
+                f = true;
+            }
+            s << '}';
+            return s.str();
+        },
+        "Return the canonical string representation of this map."
+    );
+}
+
+
+NAMESPACE_END(detail)
+
+template <typename Map, typename holder_type = std::unique_ptr<Map>, typename... Args>
+pybind11::class_<Map, holder_type> bind_map(module &m, const std::string &name, Args&&... args) {
+    using KeyType = typename Map::key_type;
+    using MappedType = typename Map::mapped_type;
+    using Class_ = pybind11::class_<Map, holder_type>;
+
+    Class_ cl(m, name.c_str(), std::forward<Args>(args)...);
+
+    cl.def(pybind11::init<>());
+
+    // Register stream insertion operator (if possible)
+    detail::map_if_insertion_operator<Map, Class_>(cl, name);
+
+    cl.def("__bool__",
+        [](const Map &m) -> bool { return !m.empty(); },
+        "Check whether the map is nonempty"
+    );
+
+    cl.def("__iter__",
+           [](Map &m) { return pybind11::make_key_iterator(m.begin(), m.end()); },
+           pybind11::keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
+    );
+
+    cl.def("items",
+           [](Map &m) { return pybind11::make_iterator(m.begin(), m.end()); },
+           pybind11::keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
+    );
+
+    cl.def("__getitem__",
+        [](Map &m, const KeyType &k) -> MappedType & {
+            auto it = m.find(k);
+            if (it == m.end())
+              throw pybind11::key_error();
+           return it->second;
+        },
+        return_value_policy::reference_internal // ref + keepalive
+    );
+
+    // Assignment provided only if the type is copyable
+    detail::map_assignment<Map, Class_>(cl);
+
+    cl.def("__delitem__",
+           [](Map &m, const KeyType &k) {
+               auto it = m.find(k);
+               if (it == m.end())
+                   throw pybind11::key_error();
+               return m.erase(it);
+           }
+    );
+
+    cl.def("__len__", &Map::size);
+
+    return cl;
+}
+
+NAMESPACE_END(pybind11)

ext/pybind11/include/pybind11/typeid.h

@@ -0,0 +1,53 @@
+/*
+    pybind11/typeid.h: Compiler-independent access to type identifiers
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#pragma once
+
+#include <cstdio>
+#include <cstdlib>
+
+#if defined(__GNUG__)
+#include <cxxabi.h>
+#endif
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+/// Erase all occurrences of a substring
+inline void erase_all(std::string &string, const std::string &search) {
+    for (size_t pos = 0;;) {
+        pos = string.find(search, pos);
+        if (pos == std::string::npos) break;
+        string.erase(pos, search.length());
+    }
+}
+
+PYBIND11_NOINLINE inline void clean_type_id(std::string &name) {
+#if defined(__GNUG__)
+    int status = 0;
+    std::unique_ptr<char, void (*)(void *)> res {
+        abi::__cxa_demangle(name.c_str(), nullptr, nullptr, &status), std::free };
+    if (status == 0)
+        name = res.get();
+#else
+    detail::erase_all(name, "class ");
+    detail::erase_all(name, "struct ");
+    detail::erase_all(name, "enum ");
+#endif
+    detail::erase_all(name, "pybind11::");
+}
+NAMESPACE_END(detail)
+
+/// Return a string representation of a C++ type
+template <typename T> static std::string type_id() {
+    std::string name(typeid(T).name());
+    detail::clean_type_id(name);
+    return name;
+}
+
+NAMESPACE_END(pybind11)

ext/pybind11/pybind11/__init__.py

@@ -0,0 +1,11 @@
+from ._version import version_info, __version__  # noqa: F401 imported but unused
+
+
+def get_include(*args, **kwargs):
+    import os
+    try:
+        from pip import locations
+        return os.path.dirname(
+            locations.distutils_scheme('pybind11', *args, **kwargs)['headers'])
+    except ImportError:
+        return 'include'

ext/pybind11/pybind11/_version.py

@@ -0,0 +1,2 @@
+version_info = (1, 9, 'dev0')
+__version__ = '.'.join(map(str, version_info))

ext/pybind11/setup.cfg

@@ -0,0 +1,10 @@
+[bdist_wheel]
+universal=1
+
+[flake8]
+max-line-length = 99
+show_source = True
+exclude = .git, __pycache__, build, dist, docs, tools, venv
+ignore =
+    # required for pretty matrix formating: multiple spaces after `,` and `[`
+    E201, E241

ext/pybind11/setup.py

@@ -0,0 +1,74 @@
+#!/usr/bin/env python
+
+# Setup script for PyPI; use CMakeFile.txt to build extension modules
+
+from setuptools import setup
+from pybind11 import __version__
+
+setup(
+    name='pybind11',
+    version=__version__,
+    description='Seamless operability between C++11 and Python',
+    author='Wenzel Jakob',
+    author_email='wenzel.jakob@epfl.ch',
+    url='https://github.com/wjakob/pybind11',
+    download_url='https://github.com/wjakob/pybind11/tarball/v' + __version__,
+    packages=['pybind11'],
+    license='BSD',
+    headers=[
+        'include/pybind11/attr.h',
+        'include/pybind11/cast.h',
+        'include/pybind11/chrono.h',
+        'include/pybind11/common.h',
+        'include/pybind11/complex.h',
+        'include/pybind11/descr.h',
+        'include/pybind11/eigen.h',
+        'include/pybind11/eval.h',
+        'include/pybind11/functional.h',
+        'include/pybind11/numpy.h',
+        'include/pybind11/operators.h',
+        'include/pybind11/options.h',
+        'include/pybind11/pybind11.h',
+        'include/pybind11/pytypes.h',
+        'include/pybind11/stl.h',
+        'include/pybind11/stl_bind.h',
+        'include/pybind11/typeid.h',
+    ],
+    classifiers=[
+        'Development Status :: 5 - Production/Stable',
+        'Intended Audience :: Developers',
+        'Topic :: Software Development :: Libraries :: Python Modules',
+        'Topic :: Utilities',
+        'Programming Language :: C++',
+        'Programming Language :: Python :: 2.7',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.2',
+        'Programming Language :: Python :: 3.3',
+        'Programming Language :: Python :: 3.4',
+        'Programming Language :: Python :: 3.5',
+        'License :: OSI Approved :: BSD License',
+    ],
+    keywords='C++11, Python bindings',
+    long_description="""pybind11 is a lightweight header 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 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 ~2.5K lines of code and depend on
+Python (2.7 or 3.x) 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.""")

ext/pybind11/tests/CMakeLists.txt

@@ -0,0 +1,159 @@
+if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
+  message(STATUS "Setting tests build type to MinSizeRel as none was specified")
+  set(CMAKE_BUILD_TYPE MinSizeRel CACHE STRING "Choose the type of build." FORCE)
+  set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release"
+    "MinSizeRel" "RelWithDebInfo")
+endif()
+
+# Full set of test files (you can override these; see below)
+set(PYBIND11_TEST_FILES
+  test_alias_initialization.cpp
+  test_buffers.cpp
+  test_callbacks.cpp
+  test_chrono.cpp
+  test_class_args.cpp
+  test_constants_and_functions.cpp
+  test_copy_move_policies.cpp
+  test_docstring_options.cpp
+  test_eigen.cpp
+  test_enum.cpp
+  test_eval.cpp
+  test_exceptions.cpp
+  test_inheritance.cpp
+  test_issues.cpp
+  test_keep_alive.cpp
+  test_kwargs_and_defaults.cpp
+  test_methods_and_attributes.cpp
+  test_modules.cpp
+  test_multiple_inheritance.cpp
+  test_numpy_array.cpp
+  test_numpy_dtypes.cpp
+  test_numpy_vectorize.cpp
+  test_opaque_types.cpp
+  test_operator_overloading.cpp
+  test_pickling.cpp
+  test_python_types.cpp
+  test_sequences_and_iterators.cpp
+  test_smart_ptr.cpp
+  test_stl_binders.cpp
+  test_virtual_functions.cpp
+)
+
+# Invoking cmake with something like:
+#     cmake -DPYBIND11_TEST_OVERRIDE="test_issues.cpp;test_picking.cpp" ..
+# lets you override the tests that get compiled and run.  You can restore to all tests with:
+#     cmake -DPYBIND11_TEST_OVERRIDE= ..
+if (PYBIND11_TEST_OVERRIDE)
+  set(PYBIND11_TEST_FILES ${PYBIND11_TEST_OVERRIDE})
+endif()
+
+string(REPLACE ".cpp" ".py" PYBIND11_PYTEST_FILES "${PYBIND11_TEST_FILES}")
+
+# Check if Eigen is available; if not, remove from PYBIND11_TEST_FILES (but
+# keep it in PYBIND11_PYTEST_FILES, so that we get the "eigen is not installed"
+# skip message).
+list(FIND PYBIND11_TEST_FILES test_eigen.cpp PYBIND11_TEST_FILES_EIGEN_I)
+if(PYBIND11_TEST_FILES_EIGEN_I GREATER -1)
+  find_package(Eigen3 QUIET)
+
+  if(EIGEN3_FOUND)
+    message(STATUS "Building tests with Eigen v${EIGEN3_VERSION}")
+  else()
+    list(REMOVE_AT PYBIND11_TEST_FILES ${PYBIND11_TEST_FILES_EIGEN_I})
+    message(STATUS "Building tests WITHOUT Eigen")
+  endif()
+endif()
+
+# Create the binding library
+pybind11_add_module(pybind11_tests pybind11_tests.cpp
+  ${PYBIND11_TEST_FILES} ${PYBIND11_HEADERS})
+
+pybind11_enable_warnings(pybind11_tests)
+
+if(EIGEN3_FOUND)
+  target_include_directories(pybind11_tests PRIVATE ${EIGEN3_INCLUDE_DIR})
+  target_compile_definitions(pybind11_tests PRIVATE -DPYBIND11_TEST_EIGEN)
+endif()
+
+set(testdir ${PROJECT_SOURCE_DIR}/tests)
+
+# Always write the output file directly into the 'tests' directory (even on MSVC)
+if(NOT CMAKE_LIBRARY_OUTPUT_DIRECTORY)
+  set_target_properties(pybind11_tests PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${testdir})
+  foreach(config ${CMAKE_CONFIGURATION_TYPES})
+    string(TOUPPER ${config} config)
+    set_target_properties(pybind11_tests PROPERTIES LIBRARY_OUTPUT_DIRECTORY_${config} ${testdir})
+  endforeach()
+endif()
+
+# Make sure pytest is found or produce a fatal error
+if(NOT PYBIND11_PYTEST_FOUND)
+  execute_process(COMMAND ${PYTHON_EXECUTABLE} -m pytest --version --noconftest OUTPUT_QUIET ERROR_QUIET
+                  RESULT_VARIABLE PYBIND11_EXEC_PYTHON_ERR)
+  if(PYBIND11_EXEC_PYTHON_ERR)
+    message(FATAL_ERROR "Running the tests requires pytest.  Please install it manually (try: ${PYTHON_EXECUTABLE} -m pip install pytest)")
+  endif()
+  set(PYBIND11_PYTEST_FOUND TRUE CACHE INTERNAL "")
+endif()
+
+# A single command to compile and run the tests
+add_custom_target(pytest COMMAND ${PYTHON_EXECUTABLE} -m pytest -rws ${PYBIND11_PYTEST_FILES}
+                  DEPENDS pybind11_tests WORKING_DIRECTORY ${testdir})
+
+if(PYBIND11_TEST_OVERRIDE)
+  add_custom_command(TARGET pytest POST_BUILD
+    COMMAND ${CMAKE_COMMAND} -E echo "Note: not all tests run: -DPYBIND11_TEST_OVERRIDE is in effect")
+endif()
+
+# test use of installation
+if(PYBIND11_INSTALL)
+  # 2.8.12 needed for test_installed_module
+  # 3.0 needed for interface library for test_installed_target
+  # 3.1 needed for cmake -E env for testing
+  if(NOT CMAKE_VERSION VERSION_LESS 3.1)
+    add_custom_target(test_installed_target
+      COMMAND ${CMAKE_COMMAND}
+              "-DCMAKE_INSTALL_PREFIX=${PROJECT_BINARY_DIR}/test_install"
+              -P "${PROJECT_BINARY_DIR}/cmake_install.cmake"
+      COMMAND ${CMAKE_CTEST_COMMAND}
+              --build-and-test "${CMAKE_CURRENT_SOURCE_DIR}/test_installed_target"
+                               "${CMAKE_CURRENT_BINARY_DIR}/test_installed_target"
+              --build-noclean
+              --build-generator ${CMAKE_GENERATOR}
+              $<$<BOOL:${CMAKE_GENERATOR_PLATFORM}>:--build-generator-platform> ${CMAKE_GENERATOR_PLATFORM}
+              --build-makeprogram ${CMAKE_MAKE_PROGRAM}
+              --build-target check
+              --build-options "-DCMAKE_PREFIX_PATH=${PROJECT_BINARY_DIR}/test_install"
+                              "-DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}"
+                              "-DPYTHON_EXECUTABLE=${PYTHON_EXECUTABLE}"
+                              "-DPYBIND11_CPP_STANDARD=${PYBIND11_CPP_STANDARD}"
+    )
+    add_custom_target(test_installed_module
+      COMMAND ${CMAKE_COMMAND}
+              "-DCMAKE_INSTALL_PREFIX=${PROJECT_BINARY_DIR}/test_install"
+              -P "${PROJECT_BINARY_DIR}/cmake_install.cmake"
+      COMMAND ${CMAKE_CTEST_COMMAND}
+              --build-and-test "${CMAKE_CURRENT_SOURCE_DIR}/test_installed_module"
+                               "${CMAKE_CURRENT_BINARY_DIR}/test_installed_module"
+              --build-noclean
+              --build-generator ${CMAKE_GENERATOR}
+              $<$<BOOL:${CMAKE_GENERATOR_PLATFORM}>:--build-generator-platform> ${CMAKE_GENERATOR_PLATFORM}
+              --build-makeprogram ${CMAKE_MAKE_PROGRAM}
+              --build-target check
+              --build-options "-DCMAKE_PREFIX_PATH=${PROJECT_BINARY_DIR}/test_install"
+                              "-DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}"
+                              "-DPYTHON_EXECUTABLE=${PYTHON_EXECUTABLE}"
+                              "-DPYBIND11_CPP_STANDARD=${PYBIND11_CPP_STANDARD}"
+    )
+  else()
+    add_custom_target(test_installed_target)
+    add_custom_target(test_installed_module)
+  endif()
+  add_custom_target(test_install)
+  add_dependencies(test_install test_installed_target test_installed_module)
+endif()
+
+# And another to show the .so size and, if a previous size, compare it:
+add_custom_command(TARGET pybind11_tests POST_BUILD
+    COMMAND ${PYTHON_EXECUTABLE} ${CMAKE_SOURCE_DIR}/tools/libsize.py
+        $<TARGET_FILE:pybind11_tests> ${CMAKE_CURRENT_BINARY_DIR}/sosize-$<TARGET_FILE_NAME:pybind11_tests>.txt)

ext/pybind11/tests/conftest.py

@@ -0,0 +1,227 @@
+"""pytest configuration
+
+Extends output capture as needed by pybind11: ignore constructors, optional unordered lines.
+Adds docstring and exceptions message sanitizers: ignore Python 2 vs 3 differences.
+"""
+
+import pytest
+import textwrap
+import difflib
+import re
+import sys
+import contextlib
+
+_unicode_marker = re.compile(r'u(\'[^\']*\')')
+_long_marker = re.compile(r'([0-9])L')
+_hexadecimal = re.compile(r'0x[0-9a-fA-F]+')
+
+
+def _strip_and_dedent(s):
+    """For triple-quote strings"""
+    return textwrap.dedent(s.lstrip('\n').rstrip())
+
+
+def _split_and_sort(s):
+    """For output which does not require specific line order"""
+    return sorted(_strip_and_dedent(s).splitlines())
+
+
+def _make_explanation(a, b):
+    """Explanation for a failed assert -- the a and b arguments are List[str]"""
+    return ["--- actual / +++ expected"] + [line.strip('\n') for line in difflib.ndiff(a, b)]
+
+
+class Output(object):
+    """Basic output post-processing and comparison"""
+    def __init__(self, string):
+        self.string = string
+        self.explanation = []
+
+    def __str__(self):
+        return self.string
+
+    def __eq__(self, other):
+        # Ignore constructor/destructor output which is prefixed with "###"
+        a = [line for line in self.string.strip().splitlines() if not line.startswith("###")]
+        b = _strip_and_dedent(other).splitlines()
+        if a == b:
+            return True
+        else:
+            self.explanation = _make_explanation(a, b)
+            return False
+
+
+class Unordered(Output):
+    """Custom comparison for output without strict line ordering"""
+    def __eq__(self, other):
+        a = _split_and_sort(self.string)
+        b = _split_and_sort(other)
+        if a == b:
+            return True
+        else:
+            self.explanation = _make_explanation(a, b)
+            return False
+
+
+class Capture(object):
+    def __init__(self, capfd):
+        self.capfd = capfd
+        self.out = ""
+        self.err = ""
+
+    def __enter__(self):
+        self.capfd.readouterr()
+        return self
+
+    def __exit__(self, *_):
+        self.out, self.err = self.capfd.readouterr()
+
+    def __eq__(self, other):
+        a = Output(self.out)
+        b = other
+        if a == b:
+            return True
+        else:
+            self.explanation = a.explanation
+            return False
+
+    def __str__(self):
+        return self.out
+
+    def __contains__(self, item):
+        return item in self.out
+
+    @property
+    def unordered(self):
+        return Unordered(self.out)
+
+    @property
+    def stderr(self):
+        return Output(self.err)
+
+
+@pytest.fixture
+def capture(capfd):
+    """Extended `capfd` with context manager and custom equality operators"""
+    return Capture(capfd)
+
+
+class SanitizedString(object):
+    def __init__(self, sanitizer):
+        self.sanitizer = sanitizer
+        self.string = ""
+        self.explanation = []
+
+    def __call__(self, thing):
+        self.string = self.sanitizer(thing)
+        return self
+
+    def __eq__(self, other):
+        a = self.string
+        b = _strip_and_dedent(other)
+        if a == b:
+            return True
+        else:
+            self.explanation = _make_explanation(a.splitlines(), b.splitlines())
+            return False
+
+
+def _sanitize_general(s):
+    s = s.strip()
+    s = s.replace("pybind11_tests.", "m.")
+    s = s.replace("unicode", "str")
+    s = _long_marker.sub(r"\1", s)
+    s = _unicode_marker.sub(r"\1", s)
+    return s
+
+
+def _sanitize_docstring(thing):
+    s = thing.__doc__
+    s = _sanitize_general(s)
+    return s
+
+
+@pytest.fixture
+def doc():
+    """Sanitize docstrings and add custom failure explanation"""
+    return SanitizedString(_sanitize_docstring)
+
+
+def _sanitize_message(thing):
+    s = str(thing)
+    s = _sanitize_general(s)
+    s = _hexadecimal.sub("0", s)
+    return s
+
+
+@pytest.fixture
+def msg():
+    """Sanitize messages and add custom failure explanation"""
+    return SanitizedString(_sanitize_message)
+
+
+# noinspection PyUnusedLocal
+def pytest_assertrepr_compare(op, left, right):
+    """Hook to insert custom failure explanation"""
+    if hasattr(left, 'explanation'):
+        return left.explanation
+
+
+@contextlib.contextmanager
+def suppress(exception):
+    """Suppress the desired exception"""
+    try:
+        yield
+    except exception:
+        pass
+
+
+def pytest_namespace():
+    """Add import suppression and test requirements to `pytest` namespace"""
+    try:
+        import numpy as np
+    except ImportError:
+        np = None
+    try:
+        import scipy
+    except ImportError:
+        scipy = None
+    try:
+        from pybind11_tests import have_eigen
+    except ImportError:
+        have_eigen = False
+
+    skipif = pytest.mark.skipif
+    return {
+        'suppress': suppress,
+        'requires_numpy': skipif(not np, reason="numpy is not installed"),
+        'requires_scipy': skipif(not np, reason="scipy is not installed"),
+        'requires_eigen_and_numpy': skipif(not have_eigen or not np,
+                                           reason="eigen and/or numpy are not installed"),
+        'requires_eigen_and_scipy': skipif(not have_eigen or not scipy,
+                                           reason="eigen and/or scipy are not installed"),
+    }
+
+
+def _test_import_pybind11():
+    """Early diagnostic for test module initialization errors
+
+    When there is an error during initialization, the first import will report the
+    real error while all subsequent imports will report nonsense. This import test
+    is done early (in the pytest configuration file, before any tests) in order to
+    avoid the noise of having all tests fail with identical error messages.
+
+    Any possible exception is caught here and reported manually *without* the stack
+    trace. This further reduces noise since the trace would only show pytest internals
+    which are not useful for debugging pybind11 module issues.
+    """
+    # noinspection PyBroadException
+    try:
+        import pybind11_tests  # noqa: F401 imported but unused
+    except Exception as e:
+        print("Failed to import pybind11_tests from pytest:")
+        print("  {}: {}".format(type(e).__name__, e))
+        sys.exit(1)
+
+
+_test_import_pybind11()

ext/pybind11/tests/constructor_stats.h

@@ -0,0 +1,249 @@
+#pragma once
+/*
+    tests/constructor_stats.h -- framework for printing and tracking object
+    instance lifetimes in example/test code.
+
+    Copyright (c) 2016 Jason Rhinelander <jason@imaginary.ca>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+
+This header provides a few useful tools for writing examples or tests that want to check and/or
+display object instance lifetimes.  It requires that you include this header and add the following
+function calls to constructors:
+
+    class MyClass {
+        MyClass() { ...; print_default_created(this); }
+        ~MyClass() { ...; print_destroyed(this); }
+        MyClass(const MyClass &c) { ...; print_copy_created(this); }
+        MyClass(MyClass &&c) { ...; print_move_created(this); }
+        MyClass(int a, int b) { ...; print_created(this, a, b); }
+        MyClass &operator=(const MyClass &c) { ...; print_copy_assigned(this); }
+        MyClass &operator=(MyClass &&c) { ...; print_move_assigned(this); }
+
+        ...
+    }
+
+You can find various examples of these in several of the existing example .cpp files.  (Of course
+you don't need to add any of the above constructors/operators that you don't actually have, except
+for the destructor).
+
+Each of these will print an appropriate message such as:
+
+    ### MyClass @ 0x2801910 created via default constructor
+    ### MyClass @ 0x27fa780 created 100 200
+    ### MyClass @ 0x2801910 destroyed
+    ### MyClass @ 0x27fa780 destroyed
+
+You can also include extra arguments (such as the 100, 200 in the output above, coming from the
+value constructor) for all of the above methods which will be included in the output.
+
+For testing, each of these also keeps track the created instances and allows you to check how many
+of the various constructors have been invoked from the Python side via code such as:
+
+    from example import ConstructorStats
+    cstats = ConstructorStats.get(MyClass)
+    print(cstats.alive())
+    print(cstats.default_constructions)
+
+Note that `.alive()` should usually be the first thing you call as it invokes Python's garbage
+collector to actually destroy objects that aren't yet referenced.
+
+For everything except copy and move constructors and destructors, any extra values given to the
+print_...() function is stored in a class-specific values list which you can retrieve and inspect
+from the ConstructorStats instance `.values()` method.
+
+In some cases, when you need to track instances of a C++ class not registered with pybind11, you
+need to add a function returning the ConstructorStats for the C++ class; this can be done with:
+
+    m.def("get_special_cstats", &ConstructorStats::get<SpecialClass>, py::return_value_policy::reference)
+
+Finally, you can suppress the output messages, but keep the constructor tracking (for
+inspection/testing in python) by using the functions with `print_` replaced with `track_` (e.g.
+`track_copy_created(this)`).
+
+*/
+
+#include "pybind11_tests.h"
+#include <unordered_map>
+#include <list>
+#include <typeindex>
+#include <sstream>
+
+class ConstructorStats {
+protected:
+    std::unordered_map<void*, int> _instances; // Need a map rather than set because members can shared address with parents
+    std::list<std::string> _values; // Used to track values (e.g. of value constructors)
+public:
+    int default_constructions = 0;
+    int copy_constructions = 0;
+    int move_constructions = 0;
+    int copy_assignments = 0;
+    int move_assignments = 0;
+
+    void copy_created(void *inst) {
+        created(inst);
+        copy_constructions++;
+    }
+    void move_created(void *inst) {
+        created(inst);
+        move_constructions++;
+    }
+    void default_created(void *inst) {
+        created(inst);
+        default_constructions++;
+    }
+    void created(void *inst) {
+        ++_instances[inst];
+    };
+    void destroyed(void *inst) {
+        if (--_instances[inst] < 0)
+            throw std::runtime_error("cstats.destroyed() called with unknown instance; potential double-destruction or a missing cstats.created()");
+    }
+
+    int alive() {
+        // Force garbage collection to ensure any pending destructors are invoked:
+        py::module::import("gc").attr("collect")();
+        int total = 0;
+        for (const auto &p : _instances) if (p.second > 0) total += p.second;
+        return total;
+    }
+
+    void value() {} // Recursion terminator
+    // Takes one or more values, converts them to strings, then stores them.
+    template <typename T, typename... Tmore> void value(const T &v, Tmore &&...args) {
+        std::ostringstream oss;
+        oss << v;
+        _values.push_back(oss.str());
+        value(std::forward<Tmore>(args)...);
+    }
+
+    // Move out stored values
+    py::list values() {
+        py::list l;
+        for (const auto &v : _values) l.append(py::cast(v));
+        _values.clear();
+        return l;
+    }
+
+    // Gets constructor stats from a C++ type index
+    static ConstructorStats& get(std::type_index type) {
+        static std::unordered_map<std::type_index, ConstructorStats> all_cstats;
+        return all_cstats[type];
+    }
+
+    // Gets constructor stats from a C++ type
+    template <typename T> static ConstructorStats& get() {
+        return get(typeid(T));
+    }
+
+    // Gets constructor stats from a Python class
+    static ConstructorStats& get(py::object class_) {
+        auto &internals = py::detail::get_internals();
+        const std::type_index *t1 = nullptr, *t2 = nullptr;
+        try {
+            auto *type_info = internals.registered_types_py.at(class_.ptr());
+            for (auto &p : internals.registered_types_cpp) {
+                if (p.second == type_info) {
+                    if (t1) {
+                        t2 = &p.first;
+                        break;
+                    }
+                    t1 = &p.first;
+                }
+            }
+        }
+        catch (std::out_of_range) {}
+        if (!t1) throw std::runtime_error("Unknown class passed to ConstructorStats::get()");
+        auto &cs1 = get(*t1);
+        // If we have both a t1 and t2 match, one is probably the trampoline class; return whichever
+        // has more constructions (typically one or the other will be 0)
+        if (t2) {
+            auto &cs2 = get(*t2);
+            int cs1_total = cs1.default_constructions + cs1.copy_constructions + cs1.move_constructions + (int) cs1._values.size();
+            int cs2_total = cs2.default_constructions + cs2.copy_constructions + cs2.move_constructions + (int) cs2._values.size();
+            if (cs2_total > cs1_total) return cs2;
+        }
+        return cs1;
+    }
+};
+
+// To track construction/destruction, you need to call these methods from the various
+// constructors/operators.  The ones that take extra values record the given values in the
+// constructor stats values for later inspection.
+template <class T> void track_copy_created(T *inst) { ConstructorStats::get<T>().copy_created(inst); }
+template <class T> void track_move_created(T *inst) { ConstructorStats::get<T>().move_created(inst); }
+template <class T, typename... Values> void track_copy_assigned(T *, Values &&...values) {
+    auto &cst = ConstructorStats::get<T>();
+    cst.copy_assignments++;
+    cst.value(std::forward<Values>(values)...);
+}
+template <class T, typename... Values> void track_move_assigned(T *, Values &&...values) {
+    auto &cst = ConstructorStats::get<T>();
+    cst.move_assignments++;
+    cst.value(std::forward<Values>(values)...);
+}
+template <class T, typename... Values> void track_default_created(T *inst, Values &&...values) {
+    auto &cst = ConstructorStats::get<T>();
+    cst.default_created(inst);
+    cst.value(std::forward<Values>(values)...);
+}
+template <class T, typename... Values> void track_created(T *inst, Values &&...values) {
+    auto &cst = ConstructorStats::get<T>();
+    cst.created(inst);
+    cst.value(std::forward<Values>(values)...);
+}
+template <class T, typename... Values> void track_destroyed(T *inst) {
+    ConstructorStats::get<T>().destroyed(inst);
+}
+template <class T, typename... Values> void track_values(T *, Values &&...values) {
+    ConstructorStats::get<T>().value(std::forward<Values>(values)...);
+}
+
+/// Don't cast pointers to Python, print them as strings
+inline const char *format_ptrs(const char *p) { return p; }
+template <typename T>
+py::str format_ptrs(T *p) { return "{:#x}"_s.format(reinterpret_cast<std::uintptr_t>(p)); }
+template <typename T>
+auto format_ptrs(T &&x) -> decltype(std::forward<T>(x)) { return std::forward<T>(x); }
+
+template <class T, typename... Output>
+void print_constr_details(T *inst, const std::string &action, Output &&...output) {
+    py::print("###", py::type_id<T>(), "@", format_ptrs(inst), action,
+              format_ptrs(std::forward<Output>(output))...);
+}
+
+// Verbose versions of the above:
+template <class T, typename... Values> void print_copy_created(T *inst, Values &&...values) { // NB: this prints, but doesn't store, given values
+    print_constr_details(inst, "created via copy constructor", values...);
+    track_copy_created(inst);
+}
+template <class T, typename... Values> void print_move_created(T *inst, Values &&...values) { // NB: this prints, but doesn't store, given values
+    print_constr_details(inst, "created via move constructor", values...);
+    track_move_created(inst);
+}
+template <class T, typename... Values> void print_copy_assigned(T *inst, Values &&...values) {
+    print_constr_details(inst, "assigned via copy assignment", values...);
+    track_copy_assigned(inst, values...);
+}
+template <class T, typename... Values> void print_move_assigned(T *inst, Values &&...values) {
+    print_constr_details(inst, "assigned via move assignment", values...);
+    track_move_assigned(inst, values...);
+}
+template <class T, typename... Values> void print_default_created(T *inst, Values &&...values) {
+    print_constr_details(inst, "created via default constructor", values...);
+    track_default_created(inst, values...);
+}
+template <class T, typename... Values> void print_created(T *inst, Values &&...values) {
+    print_constr_details(inst, "created", values...);
+    track_created(inst, values...);
+}
+template <class T, typename... Values> void print_destroyed(T *inst, Values &&...values) { // Prints but doesn't store given values
+    print_constr_details(inst, "destroyed", values...);
+    track_destroyed(inst);
+}
+template <class T, typename... Values> void print_values(T *inst, Values &&...values) {
+    print_constr_details(inst, ":", values...);
+    track_values(inst, values...);
+}
+

ext/pybind11/tests/object.h

@@ -0,0 +1,175 @@
+#if !defined(__OBJECT_H)
+#define __OBJECT_H
+
+#include <atomic>
+#include "constructor_stats.h"
+
+/// Reference counted object base class
+class Object {
+public:
+    /// Default constructor
+    Object() { print_default_created(this); }
+
+    /// Copy constructor
+    Object(const Object &) : m_refCount(0) { print_copy_created(this); }
+
+    /// Return the current reference count
+    int getRefCount() const { return m_refCount; };
+
+    /// Increase the object's reference count by one
+    void incRef() const { ++m_refCount; }
+
+    /** \brief Decrease the reference count of
+     * the object and possibly deallocate it.
+     *
+     * The object will automatically be deallocated once
+     * the reference count reaches zero.
+     */
+    void decRef(bool dealloc = true) const {
+        --m_refCount;
+        if (m_refCount == 0 && dealloc)
+            delete this;
+        else if (m_refCount < 0)
+            throw std::runtime_error("Internal error: reference count < 0!");
+    }
+
+    virtual std::string toString() const = 0;
+protected:
+    /** \brief Virtual protected deconstructor.
+     * (Will only be called by \ref ref)
+     */
+    virtual ~Object() { print_destroyed(this); }
+private:
+    mutable std::atomic<int> m_refCount { 0 };
+};
+
+// Tag class used to track constructions of ref objects.  When we track constructors, below, we
+// track and print out the actual class (e.g. ref<MyObject>), and *also* add a fake tracker for
+// ref_tag.  This lets us check that the total number of ref<Anything> constructors/destructors is
+// correct without having to check each individual ref<Whatever> type individually.
+class ref_tag {};
+
+/**
+ * \brief Reference counting helper
+ *
+ * The \a ref refeference template is a simple wrapper to store a
+ * pointer to an object. It takes care of increasing and decreasing
+ * the reference count of the object. When the last reference goes
+ * out of scope, the associated object will be deallocated.
+ *
+ * \ingroup libcore
+ */
+template <typename T> class ref {
+public:
+    /// Create a nullptr reference
+    ref() : m_ptr(nullptr) { print_default_created(this); track_default_created((ref_tag*) this); }
+
+    /// Construct a reference from a pointer
+    ref(T *ptr) : m_ptr(ptr) {
+        if (m_ptr) ((Object *) m_ptr)->incRef();
+
+        print_created(this, "from pointer", m_ptr); track_created((ref_tag*) this, "from pointer");
+
+    }
+
+    /// Copy constructor
+    ref(const ref &r) : m_ptr(r.m_ptr) {
+        if (m_ptr)
+            ((Object *) m_ptr)->incRef();
+
+        print_copy_created(this, "with pointer", m_ptr); track_copy_created((ref_tag*) this);
+    }
+
+    /// Move constructor
+    ref(ref &&r) : m_ptr(r.m_ptr) {
+        r.m_ptr = nullptr;
+
+        print_move_created(this, "with pointer", m_ptr); track_move_created((ref_tag*) this);
+    }
+
+    /// Destroy this reference
+    ~ref() {
+        if (m_ptr)
+            ((Object *) m_ptr)->decRef();
+
+        print_destroyed(this); track_destroyed((ref_tag*) this);
+    }
+
+    /// Move another reference into the current one
+    ref& operator=(ref&& r) {
+        print_move_assigned(this, "pointer", r.m_ptr); track_move_assigned((ref_tag*) this);
+
+        if (*this == r)
+            return *this;
+        if (m_ptr)
+            ((Object *) m_ptr)->decRef();
+        m_ptr = r.m_ptr;
+        r.m_ptr = nullptr;
+        return *this;
+    }
+
+    /// Overwrite this reference with another reference
+    ref& operator=(const ref& r) {
+        print_copy_assigned(this, "pointer", r.m_ptr); track_copy_assigned((ref_tag*) this);
+
+        if (m_ptr == r.m_ptr)
+            return *this;
+        if (m_ptr)
+            ((Object *) m_ptr)->decRef();
+        m_ptr = r.m_ptr;
+        if (m_ptr)
+            ((Object *) m_ptr)->incRef();
+        return *this;
+    }
+
+    /// Overwrite this reference with a pointer to another object
+    ref& operator=(T *ptr) {
+        print_values(this, "assigned pointer"); track_values((ref_tag*) this, "assigned pointer");
+
+        if (m_ptr == ptr)
+            return *this;
+        if (m_ptr)
+            ((Object *) m_ptr)->decRef();
+        m_ptr = ptr;
+        if (m_ptr)
+            ((Object *) m_ptr)->incRef();
+        return *this;
+    }
+
+    /// Compare this reference with another reference
+    bool operator==(const ref &r) const { return m_ptr == r.m_ptr; }
+
+    /// Compare this reference with another reference
+    bool operator!=(const ref &r) const { return m_ptr != r.m_ptr; }
+
+    /// Compare this reference with a pointer
+    bool operator==(const T* ptr) const { return m_ptr == ptr; }
+
+    /// Compare this reference with a pointer
+    bool operator!=(const T* ptr) const { return m_ptr != ptr; }
+
+    /// Access the object referenced by this reference
+    T* operator->() { return m_ptr; }
+
+    /// Access the object referenced by this reference
+    const T* operator->() const { return m_ptr; }
+
+    /// Return a C++ reference to the referenced object
+    T& operator*() { return *m_ptr; }
+
+    /// Return a const C++ reference to the referenced object
+    const T& operator*() const { return *m_ptr; }
+
+    /// Return a pointer to the referenced object
+    operator T* () { return m_ptr; }
+
+    /// Return a const pointer to the referenced object
+    T* get() { return m_ptr; }
+
+    /// Return a pointer to the referenced object
+    const T* get() const { return m_ptr; }
+private:
+    T *m_ptr;
+};
+
+#endif /* __OBJECT_H */

ext/pybind11/tests/pybind11_tests.cpp

@@ -0,0 +1,45 @@
+/*
+    tests/pybind11_tests.cpp -- pybind example plugin
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+
+std::list<std::function<void(py::module &)>> &initializers() {
+    static std::list<std::function<void(py::module &)>> inits;
+    return inits;
+}
+
+test_initializer::test_initializer(std::function<void(py::module &)> initializer) {
+    initializers().push_back(std::move(initializer));
+}
+
+void bind_ConstructorStats(py::module &m) {
+    py::class_<ConstructorStats>(m, "ConstructorStats")
+        .def("alive", &ConstructorStats::alive)
+        .def("values", &ConstructorStats::values)
+        .def_readwrite("default_constructions", &ConstructorStats::default_constructions)
+        .def_readwrite("copy_assignments", &ConstructorStats::copy_assignments)
+        .def_readwrite("move_assignments", &ConstructorStats::move_assignments)
+        .def_readwrite("copy_constructions", &ConstructorStats::copy_constructions)
+        .def_readwrite("move_constructions", &ConstructorStats::move_constructions)
+        .def_static("get", (ConstructorStats &(*)(py::object)) &ConstructorStats::get, py::return_value_policy::reference_internal);
+}
+
+PYBIND11_PLUGIN(pybind11_tests) {
+    py::module m("pybind11_tests", "pybind example plugin");
+
+    bind_ConstructorStats(m);
+
+    for (const auto &initializer : initializers())
+        initializer(m);
+
+    if (!py::hasattr(m, "have_eigen")) m.attr("have_eigen") = false;
+
+    return m.ptr();
+}

ext/pybind11/tests/pybind11_tests.h

@@ -0,0 +1,12 @@
+#pragma once
+#include <pybind11/pybind11.h>
+#include <functional>
+#include <list>
+
+namespace py = pybind11;
+using namespace pybind11::literals;
+
+class test_initializer {
+public:
+    test_initializer(std::function<void(py::module &)> initializer);
+};

ext/pybind11/tests/test_alias_initialization.cpp

@@ -0,0 +1,62 @@
+/*
+    tests/test_alias_initialization.cpp -- test cases and example of different trampoline
+    initialization modes
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>, Jason Rhinelander <jason@imaginary.ca>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+test_initializer alias_initialization([](py::module &m) {
+    // don't invoke Python dispatch classes by default when instantiating C++ classes that were not
+    // extended on the Python side
+    struct A {
+        virtual ~A() {}
+        virtual void f() { py::print("A.f()"); }
+    };
+
+    struct PyA : A {
+        PyA() { py::print("PyA.PyA()"); }
+        ~PyA() { py::print("PyA.~PyA()"); }
+
+        void f() override {
+            py::print("PyA.f()");
+            PYBIND11_OVERLOAD(void, A, f);
+        }
+    };
+
+    auto call_f = [](A *a) { a->f(); };
+
+    py::class_<A, PyA>(m, "A")
+        .def(py::init<>())
+        .def("f", &A::f);
+
+    m.def("call_f", call_f);
+
+
+    // ... unless we explicitly request it, as in this example:
+    struct A2 {
+        virtual ~A2() {}
+        virtual void f() { py::print("A2.f()"); }
+    };
+
+    struct PyA2 : A2 {
+        PyA2() { py::print("PyA2.PyA2()"); }
+        ~PyA2() { py::print("PyA2.~PyA2()"); }
+        void f() override {
+            py::print("PyA2.f()");
+            PYBIND11_OVERLOAD(void, A2, f);
+        }
+    };
+
+    py::class_<A2, PyA2>(m, "A2")
+        .def(py::init_alias<>())
+        .def("f", &A2::f);
+
+    m.def("call_f", [](A2 *a2) { a2->f(); });
+
+});
+

ext/pybind11/tests/test_alias_initialization.py

@@ -0,0 +1,79 @@
+import gc
+
+
+def test_alias_delay_initialization1(capture):
+    """A only initializes its trampoline class when we inherit from it; if we just
+    create and use an A instance directly, the trampoline initialization is bypassed
+    and we only initialize an A() instead (for performance reasons).
+    """
+    from pybind11_tests import A, call_f
+
+    class B(A):
+        def __init__(self):
+            super(B, self).__init__()
+
+        def f(self):
+            print("In python f()")
+
+    # C++ version
+    with capture:
+        a = A()
+        call_f(a)
+        del a
+        gc.collect()
+    assert capture == "A.f()"
+
+    # Python version
+    with capture:
+        b = B()
+        call_f(b)
+        del b
+        gc.collect()
+    assert capture == """
+        PyA.PyA()
+        PyA.f()
+        In python f()
+        PyA.~PyA()
+    """
+
+
+def test_alias_delay_initialization2(capture):
+    """A2, unlike the above, is configured to always initialize the alias; while
+    the extra initialization and extra class layer has small virtual dispatch
+    performance penalty, it also allows us to do more things with the trampoline
+    class such as defining local variables and performing construction/destruction.
+    """
+    from pybind11_tests import A2, call_f
+
+    class B2(A2):
+        def __init__(self):
+            super(B2, self).__init__()
+
+        def f(self):
+            print("In python B2.f()")
+
+    # No python subclass version
+    with capture:
+        a2 = A2()
+        call_f(a2)
+        del a2
+        gc.collect()
+    assert capture == """
+        PyA2.PyA2()
+        PyA2.f()
+        A2.f()
+        PyA2.~PyA2()
+    """
+
+    # Python subclass version
+    with capture:
+        b2 = B2()
+        call_f(b2)
+        del b2
+        gc.collect()
+    assert capture == """
+        PyA2.PyA2()
+        PyA2.f()
+        In python B2.f()
+        PyA2.~PyA2()
+    """

ext/pybind11/tests/test_buffers.cpp

@@ -0,0 +1,117 @@
+/*
+    tests/test_buffers.cpp -- supporting Pythons' buffer protocol
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+
+class Matrix {
+public:
+    Matrix(size_t rows, size_t cols) : m_rows(rows), m_cols(cols) {
+        print_created(this, std::to_string(m_rows) + "x" + std::to_string(m_cols) + " matrix");
+        m_data = new float[rows*cols];
+        memset(m_data, 0, sizeof(float) * rows * cols);
+    }
+
+    Matrix(const Matrix &s) : m_rows(s.m_rows), m_cols(s.m_cols) {
+        print_copy_created(this, std::to_string(m_rows) + "x" + std::to_string(m_cols) + " matrix");
+        m_data = new float[m_rows * m_cols];
+        memcpy(m_data, s.m_data, sizeof(float) * m_rows * m_cols);
+    }
+
+    Matrix(Matrix &&s) : m_rows(s.m_rows), m_cols(s.m_cols), m_data(s.m_data) {
+        print_move_created(this);
+        s.m_rows = 0;
+        s.m_cols = 0;
+        s.m_data = nullptr;
+    }
+
+    ~Matrix() {
+        print_destroyed(this, std::to_string(m_rows) + "x" + std::to_string(m_cols) + " matrix");
+        delete[] m_data;
+    }
+
+    Matrix &operator=(const Matrix &s) {
+        print_copy_assigned(this, std::to_string(m_rows) + "x" + std::to_string(m_cols) + " matrix");
+        delete[] m_data;
+        m_rows = s.m_rows;
+        m_cols = s.m_cols;
+        m_data = new float[m_rows * m_cols];
+        memcpy(m_data, s.m_data, sizeof(float) * m_rows * m_cols);
+        return *this;
+    }
+
+    Matrix &operator=(Matrix &&s) {
+        print_move_assigned(this, std::to_string(m_rows) + "x" + std::to_string(m_cols) + " matrix");
+        if (&s != this) {
+            delete[] m_data;
+            m_rows = s.m_rows; m_cols = s.m_cols; m_data = s.m_data;
+            s.m_rows = 0; s.m_cols = 0; s.m_data = nullptr;
+        }
+        return *this;
+    }
+
+    float operator()(size_t i, size_t j) const {
+        return m_data[i*m_cols + j];
+    }
+
+    float &operator()(size_t i, size_t j) {
+        return m_data[i*m_cols + j];
+    }
+
+    float *data() { return m_data; }
+
+    size_t rows() const { return m_rows; }
+    size_t cols() const { return m_cols; }
+private:
+    size_t m_rows;
+    size_t m_cols;
+    float *m_data;
+};
+
+test_initializer buffers([](py::module &m) {
+    py::class_<Matrix> mtx(m, "Matrix");
+
+    mtx.def(py::init<size_t, size_t>())
+        /// Construct from a buffer
+        .def("__init__", [](Matrix &v, py::buffer b) {
+            py::buffer_info info = b.request();
+            if (info.format != py::format_descriptor<float>::format() || info.ndim != 2)
+                throw std::runtime_error("Incompatible buffer format!");
+            new (&v) Matrix(info.shape[0], info.shape[1]);
+            memcpy(v.data(), info.ptr, sizeof(float) * v.rows() * v.cols());
+        })
+
+       .def("rows", &Matrix::rows)
+       .def("cols", &Matrix::cols)
+
+        /// Bare bones interface
+       .def("__getitem__", [](const Matrix &m, std::pair<size_t, size_t> i) {
+            if (i.first >= m.rows() || i.second >= m.cols())
+                throw py::index_error();
+            return m(i.first, i.second);
+        })
+       .def("__setitem__", [](Matrix &m, std::pair<size_t, size_t> i, float v) {
+            if (i.first >= m.rows() || i.second >= m.cols())
+                throw py::index_error();
+            m(i.first, i.second) = v;
+        })
+       /// Provide buffer access
+       .def_buffer([](Matrix &m) -> py::buffer_info {
+            return py::buffer_info(
+                m.data(),                               /* Pointer to buffer */
+                sizeof(float),                          /* Size of one scalar */
+                py::format_descriptor<float>::format(), /* Python struct-style format descriptor */
+                2,                                      /* Number of dimensions */
+                { m.rows(), m.cols() },                 /* Buffer dimensions */
+                { sizeof(float) * m.rows(),             /* Strides (in bytes) for each index */
+                  sizeof(float) }
+            );
+        })
+        ;
+});

ext/pybind11/tests/test_buffers.py

@@ -0,0 +1,57 @@
+import pytest
+from pybind11_tests import Matrix, ConstructorStats
+
+with pytest.suppress(ImportError):
+    import numpy as np
+
+
+@pytest.requires_numpy
+def test_to_python():
+    m = Matrix(5, 5)
+
+    assert m[2, 3] == 0
+    m[2, 3] = 4
+    assert m[2, 3] == 4
+
+    m2 = np.array(m, copy=False)
+    assert m2.shape == (5, 5)
+    assert abs(m2).sum() == 4
+    assert m2[2, 3] == 4
+    m2[2, 3] = 5
+    assert m2[2, 3] == 5
+
+    cstats = ConstructorStats.get(Matrix)
+    assert cstats.alive() == 1
+    del m
+    assert cstats.alive() == 1
+    del m2  # holds an m reference
+    assert cstats.alive() == 0
+    assert cstats.values() == ["5x5 matrix"]
+    assert cstats.copy_constructions == 0
+    # assert cstats.move_constructions >= 0  # Don't invoke any
+    assert cstats.copy_assignments == 0
+    assert cstats.move_assignments == 0
+
+
+@pytest.requires_numpy
+def test_from_python():
+    with pytest.raises(RuntimeError) as excinfo:
+        Matrix(np.array([1, 2, 3]))  # trying to assign a 1D array
+    assert str(excinfo.value) == "Incompatible buffer format!"
+
+    m3 = np.array([[1, 2, 3], [4, 5, 6]]).astype(np.float32)
+    m4 = Matrix(m3)
+
+    for i in range(m4.rows()):
+        for j in range(m4.cols()):
+            assert m3[i, j] == m4[i, j]
+
+    cstats = ConstructorStats.get(Matrix)
+    assert cstats.alive() == 1
+    del m3, m4
+    assert cstats.alive() == 0
+    assert cstats.values() == ["2x3 matrix"]
+    assert cstats.copy_constructions == 0
+    # assert cstats.move_constructions >= 0  # Don't invoke any
+    assert cstats.copy_assignments == 0
+    assert cstats.move_assignments == 0

ext/pybind11/tests/test_callbacks.cpp

@@ -0,0 +1,149 @@
+/*
+    tests/test_callbacks.cpp -- callbacks
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+#include <pybind11/functional.h>
+
+
+py::object test_callback1(py::object func) {
+    return func();
+}
+
+py::tuple test_callback2(py::object func) {
+    return func("Hello", 'x', true, 5);
+}
+
+std::string test_callback3(const std::function<int(int)> &func) {
+    return "func(43) = " + std::to_string(func(43));
+}
+
+std::function<int(int)> test_callback4() {
+    return [](int i) { return i+1; };
+}
+
+py::cpp_function test_callback5() {
+    return py::cpp_function([](int i) { return i+1; },
+       py::arg("number"));
+}
+
+int dummy_function(int i) { return i + 1; }
+int dummy_function2(int i, int j) { return i + j; }
+std::function<int(int)> roundtrip(std::function<int(int)> f, bool expect_none = false) {
+    if (expect_none && f) {
+        throw std::runtime_error("Expected None to be converted to empty std::function");
+    }
+    return f;
+}
+
+std::string test_dummy_function(const std::function<int(int)> &f) {
+    using fn_type = int (*)(int);
+    auto result = f.target<fn_type>();
+    if (!result) {
+        auto r = f(1);
+        return "can't convert to function pointer: eval(1) = " + std::to_string(r);
+    } else if (*result == dummy_function) {
+        auto r = (*result)(1);
+        return "matches dummy_function: eval(1) = " + std::to_string(r);
+    } else {
+        return "argument does NOT match dummy_function. This should never happen!";
+    }
+}
+
+struct Payload {
+    Payload() {
+        print_default_created(this);
+    }
+    ~Payload() {
+        print_destroyed(this);
+    }
+    Payload(const Payload &) {
+        print_copy_created(this);
+    }
+    Payload(Payload &&) {
+        print_move_created(this);
+    }
+};
+
+/// Something to trigger a conversion error
+struct Unregistered {};
+
+test_initializer callbacks([](py::module &m) {
+    m.def("test_callback1", &test_callback1);
+    m.def("test_callback2", &test_callback2);
+    m.def("test_callback3", &test_callback3);
+    m.def("test_callback4", &test_callback4);
+    m.def("test_callback5", &test_callback5);
+
+    // Test keyword args and generalized unpacking
+    m.def("test_tuple_unpacking", [](py::function f) {
+        auto t1 = py::make_tuple(2, 3);
+        auto t2 = py::make_tuple(5, 6);
+        return f("positional", 1, *t1, 4, *t2);
+    });
+
+    m.def("test_dict_unpacking", [](py::function f) {
+        auto d1 = py::dict("key"_a="value", "a"_a=1);
+        auto d2 = py::dict();
+        auto d3 = py::dict("b"_a=2);
+        return f("positional", 1, **d1, **d2, **d3);
+    });
+
+    m.def("test_keyword_args", [](py::function f) {
+        return f("x"_a=10, "y"_a=20);
+    });
+
+    m.def("test_unpacking_and_keywords1", [](py::function f) {
+        auto args = py::make_tuple(2);
+        auto kwargs = py::dict("d"_a=4);
+        return f(1, *args, "c"_a=3, **kwargs);
+    });
+
+    m.def("test_unpacking_and_keywords2", [](py::function f) {
+        auto kwargs1 = py::dict("a"_a=1);
+        auto kwargs2 = py::dict("c"_a=3, "d"_a=4);
+        return f("positional", *py::make_tuple(1), 2, *py::make_tuple(3, 4), 5,
+                 "key"_a="value", **kwargs1, "b"_a=2, **kwargs2, "e"_a=5);
+    });
+
+    m.def("test_unpacking_error1", [](py::function f) {
+        auto kwargs = py::dict("x"_a=3);
+        return f("x"_a=1, "y"_a=2, **kwargs); // duplicate ** after keyword
+    });
+
+    m.def("test_unpacking_error2", [](py::function f) {
+        auto kwargs = py::dict("x"_a=3);
+        return f(**kwargs, "x"_a=1); // duplicate keyword after **
+    });
+
+    m.def("test_arg_conversion_error1", [](py::function f) {
+        f(234, Unregistered(), "kw"_a=567);
+    });
+
+    m.def("test_arg_conversion_error2", [](py::function f) {
+        f(234, "expected_name"_a=Unregistered(), "kw"_a=567);
+    });
+
+    /* Test cleanup of lambda closure */
+    m.def("test_cleanup", []() -> std::function<void(void)> {
+        Payload p;
+
+        return [p]() {
+            /* p should be cleaned up when the returned function is garbage collected */
+        };
+    });
+
+    /* Test if passing a function pointer from C++ -> Python -> C++ yields the original pointer */
+    m.def("dummy_function", &dummy_function);
+    m.def("dummy_function2", &dummy_function2);
+    m.def("roundtrip", &roundtrip, py::arg("f"), py::arg("expect_none")=false);
+    m.def("test_dummy_function", &test_dummy_function);
+    // Export the payload constructor statistics for testing purposes:
+    m.def("payload_cstats", &ConstructorStats::get<Payload>);
+});

ext/pybind11/tests/test_callbacks.py

@@ -0,0 +1,98 @@
+import pytest
+
+
+def test_callbacks():
+    from functools import partial
+    from pybind11_tests import (test_callback1, test_callback2, test_callback3,
+                                test_callback4, test_callback5)
+
+    def func1():
+        return "func1"
+
+    def func2(a, b, c, d):
+        return "func2", a, b, c, d
+
+    def func3(a):
+        return "func3({})".format(a)
+
+    assert test_callback1(func1) == "func1"
+    assert test_callback2(func2) == ("func2", "Hello", "x", True, 5)
+    assert test_callback1(partial(func2, 1, 2, 3, 4)) == ("func2", 1, 2, 3, 4)
+    assert test_callback1(partial(func3, "partial")) == "func3(partial)"
+    assert test_callback3(lambda i: i + 1) == "func(43) = 44"
+
+    f = test_callback4()
+    assert f(43) == 44
+    f = test_callback5()
+    assert f(number=43) == 44
+
+
+def test_keyword_args_and_generalized_unpacking():
+    from pybind11_tests import (test_tuple_unpacking, test_dict_unpacking, test_keyword_args,
+                                test_unpacking_and_keywords1, test_unpacking_and_keywords2,
+                                test_unpacking_error1, test_unpacking_error2,
+                                test_arg_conversion_error1, test_arg_conversion_error2)
+
+    def f(*args, **kwargs):
+        return args, kwargs
+
+    assert test_tuple_unpacking(f) == (("positional", 1, 2, 3, 4, 5, 6), {})
+    assert test_dict_unpacking(f) == (("positional", 1), {"key": "value", "a": 1, "b": 2})
+    assert test_keyword_args(f) == ((), {"x": 10, "y": 20})
+    assert test_unpacking_and_keywords1(f) == ((1, 2), {"c": 3, "d": 4})
+    assert test_unpacking_and_keywords2(f) == (
+        ("positional", 1, 2, 3, 4, 5),
+        {"key": "value", "a": 1, "b": 2, "c": 3, "d": 4, "e": 5}
+    )
+
+    with pytest.raises(TypeError) as excinfo:
+        test_unpacking_error1(f)
+    assert "Got multiple values for keyword argument" in str(excinfo.value)
+
+    with pytest.raises(TypeError) as excinfo:
+        test_unpacking_error2(f)
+    assert "Got multiple values for keyword argument" in str(excinfo.value)
+
+    with pytest.raises(RuntimeError) as excinfo:
+        test_arg_conversion_error1(f)
+    assert "Unable to convert call argument" in str(excinfo.value)
+
+    with pytest.raises(RuntimeError) as excinfo:
+        test_arg_conversion_error2(f)
+    assert "Unable to convert call argument" in str(excinfo.value)
+
+
+def test_lambda_closure_cleanup():
+    from pybind11_tests import test_cleanup, payload_cstats
+
+    test_cleanup()
+    cstats = payload_cstats()
+    assert cstats.alive() == 0
+    assert cstats.copy_constructions == 1
+    assert cstats.move_constructions >= 1
+
+
+def test_cpp_function_roundtrip():
+    """Test if passing a function pointer from C++ -> Python -> C++ yields the original pointer"""
+    from pybind11_tests import dummy_function, dummy_function2, test_dummy_function, roundtrip
+
+    assert test_dummy_function(dummy_function) == "matches dummy_function: eval(1) = 2"
+    assert test_dummy_function(roundtrip(dummy_function)) == "matches dummy_function: eval(1) = 2"
+    assert roundtrip(None, expect_none=True) is None
+    assert test_dummy_function(lambda x: x + 2) == "can't convert to function pointer: eval(1) = 3"
+
+    with pytest.raises(TypeError) as excinfo:
+        test_dummy_function(dummy_function2)
+    assert "incompatible function arguments" in str(excinfo.value)
+
+    with pytest.raises(TypeError) as excinfo:
+        test_dummy_function(lambda x, y: x + y)
+    assert any(s in str(excinfo.value) for s in ("missing 1 required positional argument",
+                                                 "takes exactly 2 arguments"))
+
+
+def test_function_signatures(doc):
+    from pybind11_tests import test_callback3, test_callback4
+
+    assert doc(test_callback3) == "test_callback3(arg0: Callable[[int], int]) -> str"
+    assert doc(test_callback4) == "test_callback4() -> Callable[[int], int]"

ext/pybind11/tests/test_chrono.cpp

@@ -0,0 +1,59 @@
+/*
+    tests/test_chrono.cpp -- test conversions to/from std::chrono types
+
+    Copyright (c) 2016 Trent Houliston <trent@houliston.me> and
+                       Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+#include <pybind11/chrono.h>
+
+// Return the current time off the wall clock
+std::chrono::system_clock::time_point test_chrono1() {
+    return std::chrono::system_clock::now();
+}
+
+// Round trip the passed in system clock time
+std::chrono::system_clock::time_point test_chrono2(std::chrono::system_clock::time_point t) {
+    return t;
+}
+
+// Round trip the passed in duration
+std::chrono::system_clock::duration test_chrono3(std::chrono::system_clock::duration d) {
+    return d;
+}
+
+// Difference between two passed in time_points
+std::chrono::system_clock::duration test_chrono4(std::chrono::system_clock::time_point a, std::chrono::system_clock::time_point b) {
+    return a - b;
+}
+
+// Return the current time off the steady_clock
+std::chrono::steady_clock::time_point test_chrono5() {
+    return std::chrono::steady_clock::now();
+}
+
+// Round trip a steady clock timepoint
+std::chrono::steady_clock::time_point test_chrono6(std::chrono::steady_clock::time_point t) {
+    return t;
+}
+
+// Roundtrip a duration in microseconds from a float argument
+std::chrono::microseconds test_chrono7(std::chrono::microseconds t) {
+    return t;
+}
+
+test_initializer chrono([] (py::module &m) {
+    m.def("test_chrono1", &test_chrono1);
+    m.def("test_chrono2", &test_chrono2);
+    m.def("test_chrono3", &test_chrono3);
+    m.def("test_chrono4", &test_chrono4);
+    m.def("test_chrono5", &test_chrono5);
+    m.def("test_chrono6", &test_chrono6);
+    m.def("test_chrono7", &test_chrono7);
+});

ext/pybind11/tests/test_chrono.py

@@ -0,0 +1,116 @@
+
+
+def test_chrono_system_clock():
+    from pybind11_tests import test_chrono1
+    import datetime
+
+    # Get the time from both c++ and datetime
+    date1 = test_chrono1()
+    date2 = datetime.datetime.today()
+
+    # The returned value should be a datetime
+    assert isinstance(date1, datetime.datetime)
+
+    # The numbers should vary by a very small amount (time it took to execute)
+    diff = abs(date1 - date2)
+
+    # There should never be a days/seconds difference
+    assert diff.days == 0
+    assert diff.seconds == 0
+
+    # We test that no more than about 0.5 seconds passes here
+    # This makes sure that the dates created are very close to the same
+    # but if the testing system is incredibly overloaded this should still pass
+    assert diff.microseconds < 500000
+
+
+def test_chrono_system_clock_roundtrip():
+    from pybind11_tests import test_chrono2
+    import datetime
+
+    date1 = datetime.datetime.today()
+
+    # Roundtrip the time
+    date2 = test_chrono2(date1)
+
+    # The returned value should be a datetime
+    assert isinstance(date2, datetime.datetime)
+
+    # They should be identical (no information lost on roundtrip)
+    diff = abs(date1 - date2)
+    assert diff.days == 0
+    assert diff.seconds == 0
+    assert diff.microseconds == 0
+
+
+def test_chrono_duration_roundtrip():
+    from pybind11_tests import test_chrono3
+    import datetime
+
+    # Get the difference between two times (a timedelta)
+    date1 = datetime.datetime.today()
+    date2 = datetime.datetime.today()
+    diff = date2 - date1
+
+    # Make sure this is a timedelta
+    assert isinstance(diff, datetime.timedelta)
+
+    cpp_diff = test_chrono3(diff)
+
+    assert cpp_diff.days == diff.days
+    assert cpp_diff.seconds == diff.seconds
+    assert cpp_diff.microseconds == diff.microseconds
+
+
+def test_chrono_duration_subtraction_equivalence():
+    from pybind11_tests import test_chrono4
+    import datetime
+
+    date1 = datetime.datetime.today()
+    date2 = datetime.datetime.today()
+
+    diff = date2 - date1
+    cpp_diff = test_chrono4(date2, date1)
+
+    assert cpp_diff.days == diff.days
+    assert cpp_diff.seconds == diff.seconds
+    assert cpp_diff.microseconds == diff.microseconds
+
+
+def test_chrono_steady_clock():
+    from pybind11_tests import test_chrono5
+    import datetime
+
+    time1 = test_chrono5()
+    time2 = test_chrono5()
+
+    assert isinstance(time1, datetime.timedelta)
+    assert isinstance(time2, datetime.timedelta)
+
+
+def test_chrono_steady_clock_roundtrip():
+    from pybind11_tests import test_chrono6
+    import datetime
+
+    time1 = datetime.timedelta(days=10, seconds=10, microseconds=100)
+    time2 = test_chrono6(time1)
+
+    assert isinstance(time2, datetime.timedelta)
+
+    # They should be identical (no information lost on roundtrip)
+    assert time1.days == time2.days
+    assert time1.seconds == time2.seconds
+    assert time1.microseconds == time2.microseconds
+
+
+def test_floating_point_duration():
+    from pybind11_tests import test_chrono7
+    import datetime
+
+    # Test using 35.525123 seconds as an example floating point number in seconds
+    time = test_chrono7(35.525123)
+
+    assert isinstance(time, datetime.timedelta)
+
+    assert time.seconds == 35
+    assert 525122 <= time.microseconds <= 525123

ext/pybind11/tests/test_class_args.cpp

@@ -0,0 +1,68 @@
+/*
+    tests/test_class_args.cpp -- tests that various way of defining a class work
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+
+template <int N> class BreaksBase {};
+template <int N> class BreaksTramp : public BreaksBase<N> {};
+// These should all compile just fine:
+typedef py::class_<BreaksBase<1>, std::unique_ptr<BreaksBase<1>>, BreaksTramp<1>> DoesntBreak1;
+typedef py::class_<BreaksBase<2>, BreaksTramp<2>, std::unique_ptr<BreaksBase<2>>> DoesntBreak2;
+typedef py::class_<BreaksBase<3>, std::unique_ptr<BreaksBase<3>>> DoesntBreak3;
+typedef py::class_<BreaksBase<4>, BreaksTramp<4>> DoesntBreak4;
+typedef py::class_<BreaksBase<5>> DoesntBreak5;
+typedef py::class_<BreaksBase<6>, std::shared_ptr<BreaksBase<6>>, BreaksTramp<6>> DoesntBreak6;
+typedef py::class_<BreaksBase<7>, BreaksTramp<7>, std::shared_ptr<BreaksBase<7>>> DoesntBreak7;
+typedef py::class_<BreaksBase<8>, std::shared_ptr<BreaksBase<8>>> DoesntBreak8;
+#define CHECK_BASE(N) static_assert(std::is_same<typename DoesntBreak##N::type, BreaksBase<N>>::value, \
+        "DoesntBreak" #N " has wrong type!")
+CHECK_BASE(1); CHECK_BASE(2); CHECK_BASE(3); CHECK_BASE(4); CHECK_BASE(5); CHECK_BASE(6); CHECK_BASE(7); CHECK_BASE(8);
+#define CHECK_ALIAS(N) static_assert(DoesntBreak##N::has_alias && std::is_same<typename DoesntBreak##N::type_alias, BreaksTramp<N>>::value, \
+        "DoesntBreak" #N " has wrong type_alias!")
+#define CHECK_NOALIAS(N) static_assert(!DoesntBreak##N::has_alias && std::is_void<typename DoesntBreak##N::type_alias>::value, \
+        "DoesntBreak" #N " has type alias, but shouldn't!")
+CHECK_ALIAS(1); CHECK_ALIAS(2); CHECK_NOALIAS(3); CHECK_ALIAS(4); CHECK_NOALIAS(5); CHECK_ALIAS(6); CHECK_ALIAS(7); CHECK_NOALIAS(8);
+#define CHECK_HOLDER(N, TYPE) static_assert(std::is_same<typename DoesntBreak##N::holder_type, std::TYPE##_ptr<BreaksBase<N>>>::value, \
+        "DoesntBreak" #N " has wrong holder_type!")
+CHECK_HOLDER(1, unique); CHECK_HOLDER(2, unique); CHECK_HOLDER(3, unique); CHECK_HOLDER(4, unique); CHECK_HOLDER(5, unique);
+CHECK_HOLDER(6, shared); CHECK_HOLDER(7, shared); CHECK_HOLDER(8, shared);
+
+// There's no nice way to test that these fail because they fail to compile; leave them here,
+// though, so that they can be manually tested by uncommenting them (and seeing that compilation
+// failures occurs).
+
+// We have to actually look into the type: the typedef alone isn't enough to instantiate the type:
+#define CHECK_BROKEN(N) static_assert(std::is_same<typename Breaks##N::type, BreaksBase<-N>>::value, \
+        "Breaks1 has wrong type!");
+
+//// Two holder classes:
+//typedef py::class_<BreaksBase<-1>, std::unique_ptr<BreaksBase<-1>>, std::unique_ptr<BreaksBase<-1>>> Breaks1;
+//CHECK_BROKEN(1);
+//// Two aliases:
+//typedef py::class_<BreaksBase<-2>, BreaksTramp<-2>, BreaksTramp<-2>> Breaks2;
+//CHECK_BROKEN(2);
+//// Holder + 2 aliases
+//typedef py::class_<BreaksBase<-3>, std::unique_ptr<BreaksBase<-3>>, BreaksTramp<-3>, BreaksTramp<-3>> Breaks3;
+//CHECK_BROKEN(3);
+//// Alias + 2 holders
+//typedef py::class_<BreaksBase<-4>, std::unique_ptr<BreaksBase<-4>>, BreaksTramp<-4>, std::shared_ptr<BreaksBase<-4>>> Breaks4;
+//CHECK_BROKEN(4);
+//// Invalid option (not a subclass or holder)
+//typedef py::class_<BreaksBase<-5>, BreaksTramp<-4>> Breaks5;
+//CHECK_BROKEN(5);
+//// Invalid option: multiple inheritance not supported:
+//template <> struct BreaksBase<-8> : BreaksBase<-6>, BreaksBase<-7> {};
+//typedef py::class_<BreaksBase<-8>, BreaksBase<-6>, BreaksBase<-7>> Breaks8;
+//CHECK_BROKEN(8);
+
+test_initializer class_args([](py::module &m) {
+    // Just test that this compiled okay
+    m.def("class_args_noop", []() {});
+});

ext/pybind11/tests/test_class_args.py

@@ -0,0 +1,8 @@
+
+
+def test_class_args():
+    """There's basically nothing to test here; just make sure the code compiled
+    and declared its definition
+    """
+    from pybind11_tests import class_args_noop
+    class_args_noop()

ext/pybind11/tests/test_constants_and_functions.cpp

@@ -0,0 +1,66 @@
+/*
+    tests/test_constants_and_functions.cpp -- global constants and functions, enumerations, raw byte strings
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+enum MyEnum { EFirstEntry = 1, ESecondEntry };
+
+std::string test_function1() {
+    return "test_function()";
+}
+
+std::string test_function2(MyEnum k) {
+    return "test_function(enum=" + std::to_string(k) + ")";
+}
+
+std::string test_function3(int i) {
+    return "test_function(" + std::to_string(i) + ")";
+}
+
+py::str test_function4(int, float) { return "test_function(int, float)"; }
+py::str test_function4(float, int) { return "test_function(float, int)"; }
+
+py::bytes return_bytes() {
+    const char *data = "\x01\x00\x02\x00";
+    return std::string(data, 4);
+}
+
+std::string print_bytes(py::bytes bytes) {
+    std::string ret = "bytes[";
+    const auto value = static_cast<std::string>(bytes);
+    for (size_t i = 0; i < value.length(); ++i) {
+        ret += std::to_string(static_cast<int>(value[i])) + " ";
+    }
+    ret.back() = ']';
+    return ret;
+}
+
+test_initializer constants_and_functions([](py::module &m) {
+    m.attr("some_constant") = py::int_(14);
+
+    m.def("test_function", &test_function1);
+    m.def("test_function", &test_function2);
+    m.def("test_function", &test_function3);
+
+#if defined(PYBIND11_OVERLOAD_CAST)
+    m.def("test_function", py::overload_cast<int, float>(&test_function4));
+    m.def("test_function", py::overload_cast<float, int>(&test_function4));
+#else
+    m.def("test_function", static_cast<py::str (*)(int, float)>(&test_function4));
+    m.def("test_function", static_cast<py::str (*)(float, int)>(&test_function4));
+#endif
+
+    py::enum_<MyEnum>(m, "MyEnum")
+        .value("EFirstEntry", EFirstEntry)
+        .value("ESecondEntry", ESecondEntry)
+        .export_values();
+
+    m.def("return_bytes", &return_bytes);
+    m.def("print_bytes", &print_bytes);
+});

ext/pybind11/tests/test_constants_and_functions.py

@@ -0,0 +1,24 @@
+
+
+def test_constants():
+    from pybind11_tests import some_constant
+
+    assert some_constant == 14
+
+
+def test_function_overloading():
+    from pybind11_tests import MyEnum, test_function
+
+    assert test_function() == "test_function()"
+    assert test_function(7) == "test_function(7)"
+    assert test_function(MyEnum.EFirstEntry) == "test_function(enum=1)"
+    assert test_function(MyEnum.ESecondEntry) == "test_function(enum=2)"
+
+    assert test_function(1, 1.0) == "test_function(int, float)"
+    assert test_function(2.0, 2) == "test_function(float, int)"
+
+
+def test_bytes():
+    from pybind11_tests import return_bytes, print_bytes
+
+    assert print_bytes(return_bytes()) == "bytes[1 0 2 0]"

ext/pybind11/tests/test_copy_move_policies.cpp

@@ -0,0 +1,41 @@
+/*
+    tests/test_copy_move_policies.cpp -- 'copy' and 'move'
+                                         return value policies
+
+    Copyright (c) 2016 Ben North <ben@redfrontdoor.org>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+template <typename derived>
+struct empty {
+    static const derived& get_one() { return instance_; }
+    static derived instance_;
+};
+
+struct lacking_copy_ctor : public empty<lacking_copy_ctor> {
+    lacking_copy_ctor() {}
+    lacking_copy_ctor(const lacking_copy_ctor& other) = delete;
+};
+
+template <> lacking_copy_ctor empty<lacking_copy_ctor>::instance_ = {};
+
+struct lacking_move_ctor : public empty<lacking_move_ctor> {
+    lacking_move_ctor() {}
+    lacking_move_ctor(const lacking_move_ctor& other) = delete;
+    lacking_move_ctor(lacking_move_ctor&& other) = delete;
+};
+
+template <> lacking_move_ctor empty<lacking_move_ctor>::instance_ = {};
+
+test_initializer copy_move_policies([](py::module &m) {
+    py::class_<lacking_copy_ctor>(m, "lacking_copy_ctor")
+        .def_static("get_one", &lacking_copy_ctor::get_one,
+                    py::return_value_policy::copy);
+    py::class_<lacking_move_ctor>(m, "lacking_move_ctor")
+        .def_static("get_one", &lacking_move_ctor::get_one,
+                    py::return_value_policy::move);
+});

ext/pybind11/tests/test_copy_move_policies.py

@@ -0,0 +1,15 @@
+import pytest
+
+
+def test_lacking_copy_ctor():
+    from pybind11_tests import lacking_copy_ctor
+    with pytest.raises(RuntimeError) as excinfo:
+        lacking_copy_ctor.get_one()
+    assert "the object is non-copyable!" in str(excinfo.value)
+
+
+def test_lacking_move_ctor():
+    from pybind11_tests import lacking_move_ctor
+    with pytest.raises(RuntimeError) as excinfo:
+        lacking_move_ctor.get_one()
+    assert "the object is neither movable nor copyable!" in str(excinfo.value)

ext/pybind11/tests/test_docstring_options.cpp

@@ -0,0 +1,53 @@
+/*
+    tests/test_docstring_options.cpp -- generation of docstrings and signatures
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+struct DocstringTestFoo {
+    int value;
+    void setValue(int v) { value = v; }
+    int getValue() const { return value; }
+};
+
+test_initializer docstring_generation([](py::module &m) {
+
+    {
+        py::options options;
+        options.disable_function_signatures();
+
+        m.def("test_function1", [](int, int) {}, py::arg("a"), py::arg("b"));
+        m.def("test_function2", [](int, int) {}, py::arg("a"), py::arg("b"), "A custom docstring");
+
+        options.enable_function_signatures();
+
+        m.def("test_function3", [](int, int) {}, py::arg("a"), py::arg("b"));
+        m.def("test_function4", [](int, int) {}, py::arg("a"), py::arg("b"), "A custom docstring");
+
+        options.disable_function_signatures().disable_user_defined_docstrings();
+
+        m.def("test_function5", [](int, int) {}, py::arg("a"), py::arg("b"), "A custom docstring");
+
+        {
+            py::options nested_options;
+            nested_options.enable_user_defined_docstrings();
+            m.def("test_function6", [](int, int) {}, py::arg("a"), py::arg("b"), "A custom docstring");
+        }
+    }
+
+    m.def("test_function7", [](int, int) {}, py::arg("a"), py::arg("b"), "A custom docstring");
+
+    {
+        py::options options;
+        options.disable_user_defined_docstrings();
+
+        py::class_<DocstringTestFoo>(m, "DocstringTestFoo", "This is a class docstring")
+            .def_property("value_prop", &DocstringTestFoo::getValue, &DocstringTestFoo::setValue, "This is a property docstring")
+        ;
+    }
+});

ext/pybind11/tests/test_docstring_options.py

@@ -0,0 +1,32 @@
+
+
+def test_docstring_options():
+    from pybind11_tests import (test_function1, test_function2, test_function3,
+                                test_function4, test_function5, test_function6,
+                                test_function7, DocstringTestFoo)
+
+    # options.disable_function_signatures()
+    assert not test_function1.__doc__
+
+    assert test_function2.__doc__ == "A custom docstring"
+
+    # options.enable_function_signatures()
+    assert test_function3.__doc__ .startswith("test_function3(a: int, b: int) -> None")
+
+    assert test_function4.__doc__ .startswith("test_function4(a: int, b: int) -> None")
+    assert test_function4.__doc__ .endswith("A custom docstring\n")
+
+    # options.disable_function_signatures()
+    # options.disable_user_defined_docstrings()
+    assert not test_function5.__doc__
+
+    # nested options.enable_user_defined_docstrings()
+    assert test_function6.__doc__ == "A custom docstring"
+
+    # RAII destructor
+    assert test_function7.__doc__ .startswith("test_function7(a: int, b: int) -> None")
+    assert test_function7.__doc__ .endswith("A custom docstring\n")
+
+    # Suppression of user-defined docstrings for non-function objects
+    assert not DocstringTestFoo.__doc__
+    assert not DocstringTestFoo.value_prop.__doc__

ext/pybind11/tests/test_eigen.cpp

@@ -0,0 +1,134 @@
+/*
+    tests/eigen.cpp -- automatic conversion of Eigen types
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+#include <pybind11/eigen.h>
+#include <Eigen/Cholesky>
+
+Eigen::VectorXf double_col(const Eigen::VectorXf& x)
+{ return 2.0f * x; }
+
+Eigen::RowVectorXf double_row(const Eigen::RowVectorXf& x)
+{ return 2.0f * x; }
+
+Eigen::MatrixXf double_mat_cm(const Eigen::MatrixXf& x)
+{ return 2.0f * x; }
+
+// Different ways of passing via Eigen::Ref; the first and second are the Eigen-recommended
+Eigen::MatrixXd cholesky1(Eigen::Ref<Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky2(const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky3(const Eigen::Ref<Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky4(Eigen::Ref<const Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky5(Eigen::Ref<Eigen::MatrixXd> x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky6(Eigen::Ref<const Eigen::MatrixXd> x) { return x.llt().matrixL(); }
+
+typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatrixXfRowMajor;
+MatrixXfRowMajor double_mat_rm(const MatrixXfRowMajor& x)
+{ return 2.0f * x; }
+
+test_initializer eigen([](py::module &m) {
+    typedef Eigen::Matrix<float, 5, 6, Eigen::RowMajor> FixedMatrixR;
+    typedef Eigen::Matrix<float, 5, 6> FixedMatrixC;
+    typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> DenseMatrixR;
+    typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic> DenseMatrixC;
+    typedef Eigen::SparseMatrix<float, Eigen::RowMajor> SparseMatrixR;
+    typedef Eigen::SparseMatrix<float> SparseMatrixC;
+
+    m.attr("have_eigen") = true;
+
+    // Non-symmetric matrix with zero elements
+    Eigen::MatrixXf mat(5, 6);
+    mat << 0, 3, 0, 0, 0, 11, 22, 0, 0, 0, 17, 11, 7, 5, 0, 1, 0, 11, 0,
+        0, 0, 0, 0, 11, 0, 0, 14, 0, 8, 11;
+
+    m.def("double_col", &double_col);
+    m.def("double_row", &double_row);
+    m.def("double_mat_cm", &double_mat_cm);
+    m.def("double_mat_rm", &double_mat_rm);
+    m.def("cholesky1", &cholesky1);
+    m.def("cholesky2", &cholesky2);
+    m.def("cholesky3", &cholesky3);
+    m.def("cholesky4", &cholesky4);
+    m.def("cholesky5", &cholesky5);
+    m.def("cholesky6", &cholesky6);
+
+    // Returns diagonals: a vector-like object with an inner stride != 1
+    m.def("diagonal", [](const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.diagonal(); });
+    m.def("diagonal_1", [](const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.diagonal<1>(); });
+    m.def("diagonal_n", [](const Eigen::Ref<const Eigen::MatrixXd> &x, int index) { return x.diagonal(index); });
+
+    // Return a block of a matrix (gives non-standard strides)
+    m.def("block", [](const Eigen::Ref<const Eigen::MatrixXd> &x, int start_row, int start_col, int block_rows, int block_cols) {
+        return x.block(start_row, start_col, block_rows, block_cols);
+    });
+
+    // Returns a DiagonalMatrix with diagonal (1,2,3,...)
+    m.def("incr_diag", [](int k) {
+        Eigen::DiagonalMatrix<int, Eigen::Dynamic> m(k);
+        for (int i = 0; i < k; i++) m.diagonal()[i] = i+1;
+        return m;
+    });
+
+    // Returns a SelfAdjointView referencing the lower triangle of m
+    m.def("symmetric_lower", [](const Eigen::MatrixXi &m) {
+            return m.selfadjointView<Eigen::Lower>();
+    });
+    // Returns a SelfAdjointView referencing the lower triangle of m
+    m.def("symmetric_upper", [](const Eigen::MatrixXi &m) {
+            return m.selfadjointView<Eigen::Upper>();
+    });
+
+    m.def("fixed_r", [mat]() -> FixedMatrixR {
+        return FixedMatrixR(mat);
+    });
+
+    m.def("fixed_c", [mat]() -> FixedMatrixC {
+        return FixedMatrixC(mat);
+    });
+
+    m.def("fixed_passthrough_r", [](const FixedMatrixR &m) -> FixedMatrixR {
+        return m;
+    });
+
+    m.def("fixed_passthrough_c", [](const FixedMatrixC &m) -> FixedMatrixC {
+        return m;
+    });
+
+    m.def("dense_r", [mat]() -> DenseMatrixR {
+        return DenseMatrixR(mat);
+    });
+
+    m.def("dense_c", [mat]() -> DenseMatrixC {
+        return DenseMatrixC(mat);
+    });
+
+    m.def("dense_passthrough_r", [](const DenseMatrixR &m) -> DenseMatrixR {
+        return m;
+    });
+
+    m.def("dense_passthrough_c", [](const DenseMatrixC &m) -> DenseMatrixC {
+        return m;
+    });
+
+    m.def("sparse_r", [mat]() -> SparseMatrixR {
+        return Eigen::SparseView<Eigen::MatrixXf>(mat);
+    });
+
+    m.def("sparse_c", [mat]() -> SparseMatrixC {
+        return Eigen::SparseView<Eigen::MatrixXf>(mat);
+    });
+
+    m.def("sparse_passthrough_r", [](const SparseMatrixR &m) -> SparseMatrixR {
+        return m;
+    });
+
+    m.def("sparse_passthrough_c", [](const SparseMatrixC &m) -> SparseMatrixC {
+        return m;
+    });
+});

ext/pybind11/tests/test_eigen.py

@@ -0,0 +1,145 @@
+import pytest
+
+with pytest.suppress(ImportError):
+    import numpy as np
+
+    ref = np.array([[ 0,  3,  0,  0,  0, 11],
+                    [22,  0,  0,  0, 17, 11],
+                    [ 7,  5,  0,  1,  0, 11],
+                    [ 0,  0,  0,  0,  0, 11],
+                    [ 0,  0, 14,  0,  8, 11]])
+
+
+def assert_equal_ref(mat):
+    np.testing.assert_array_equal(mat, ref)
+
+
+def assert_sparse_equal_ref(sparse_mat):
+    assert_equal_ref(sparse_mat.todense())
+
+
+@pytest.requires_eigen_and_numpy
+def test_fixed():
+    from pybind11_tests import fixed_r, fixed_c, fixed_passthrough_r, fixed_passthrough_c
+
+    assert_equal_ref(fixed_c())
+    assert_equal_ref(fixed_r())
+    assert_equal_ref(fixed_passthrough_r(fixed_r()))
+    assert_equal_ref(fixed_passthrough_c(fixed_c()))
+    assert_equal_ref(fixed_passthrough_r(fixed_c()))
+    assert_equal_ref(fixed_passthrough_c(fixed_r()))
+
+
+@pytest.requires_eigen_and_numpy
+def test_dense():
+    from pybind11_tests import dense_r, dense_c, dense_passthrough_r, dense_passthrough_c
+
+    assert_equal_ref(dense_r())
+    assert_equal_ref(dense_c())
+    assert_equal_ref(dense_passthrough_r(dense_r()))
+    assert_equal_ref(dense_passthrough_c(dense_c()))
+    assert_equal_ref(dense_passthrough_r(dense_c()))
+    assert_equal_ref(dense_passthrough_c(dense_r()))
+
+
+@pytest.requires_eigen_and_numpy
+def test_nonunit_stride_from_python():
+    from pybind11_tests import double_row, double_col, double_mat_cm, double_mat_rm
+
+    counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
+    first_row = counting_mat[0, :]
+    first_col = counting_mat[:, 0]
+    assert np.array_equal(double_row(first_row), 2.0 * first_row)
+    assert np.array_equal(double_col(first_row), 2.0 * first_row)
+    assert np.array_equal(double_row(first_col), 2.0 * first_col)
+    assert np.array_equal(double_col(first_col), 2.0 * first_col)
+
+    counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
+    slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
+    for slice_idx, ref_mat in enumerate(slices):
+        assert np.array_equal(double_mat_cm(ref_mat), 2.0 * ref_mat)
+        assert np.array_equal(double_mat_rm(ref_mat), 2.0 * ref_mat)
+
+
+@pytest.requires_eigen_and_numpy
+def test_nonunit_stride_to_python():
+    from pybind11_tests import diagonal, diagonal_1, diagonal_n, block
+
+    assert np.all(diagonal(ref) == ref.diagonal())
+    assert np.all(diagonal_1(ref) == ref.diagonal(1))
+    for i in range(-5, 7):
+        assert np.all(diagonal_n(ref, i) == ref.diagonal(i)), "diagonal_n({})".format(i)
+
+    assert np.all(block(ref, 2, 1, 3, 3) == ref[2:5, 1:4])
+    assert np.all(block(ref, 1, 4, 4, 2) == ref[1:, 4:])
+    assert np.all(block(ref, 1, 4, 3, 2) == ref[1:4, 4:])
+
+
+@pytest.requires_eigen_and_numpy
+def test_eigen_ref_to_python():
+    from pybind11_tests import cholesky1, cholesky2, cholesky3, cholesky4, cholesky5, cholesky6
+
+    chols = [cholesky1, cholesky2, cholesky3, cholesky4, cholesky5, cholesky6]
+    for i, chol in enumerate(chols, start=1):
+        mymat = chol(np.array([[1, 2, 4], [2, 13, 23], [4, 23, 77]]))
+        assert np.all(mymat == np.array([[1, 0, 0], [2, 3, 0], [4, 5, 6]])), "cholesky{}".format(i)
+
+
+@pytest.requires_eigen_and_numpy
+def test_special_matrix_objects():
+    from pybind11_tests import incr_diag, symmetric_upper, symmetric_lower
+
+    assert np.all(incr_diag(7) == np.diag([1, 2, 3, 4, 5, 6, 7]))
+
+    asymm = np.array([[ 1,  2,  3,  4],
+                      [ 5,  6,  7,  8],
+                      [ 9, 10, 11, 12],
+                      [13, 14, 15, 16]])
+    symm_lower = np.array(asymm)
+    symm_upper = np.array(asymm)
+    for i in range(4):
+        for j in range(i + 1, 4):
+            symm_lower[i, j] = symm_lower[j, i]
+            symm_upper[j, i] = symm_upper[i, j]
+
+    assert np.all(symmetric_lower(asymm) == symm_lower)
+    assert np.all(symmetric_upper(asymm) == symm_upper)
+
+
+@pytest.requires_eigen_and_numpy
+def test_dense_signature(doc):
+    from pybind11_tests import double_col, double_row, double_mat_rm
+
+    assert doc(double_col) == """
+        double_col(arg0: numpy.ndarray[float32[m, 1]]) -> numpy.ndarray[float32[m, 1]]
+    """
+    assert doc(double_row) == """
+        double_row(arg0: numpy.ndarray[float32[1, n]]) -> numpy.ndarray[float32[1, n]]
+    """
+    assert doc(double_mat_rm) == """
+        double_mat_rm(arg0: numpy.ndarray[float32[m, n]]) -> numpy.ndarray[float32[m, n]]
+    """
+
+
+@pytest.requires_eigen_and_scipy
+def test_sparse():
+    from pybind11_tests import sparse_r, sparse_c, sparse_passthrough_r, sparse_passthrough_c
+
+    assert_sparse_equal_ref(sparse_r())
+    assert_sparse_equal_ref(sparse_c())
+    assert_sparse_equal_ref(sparse_passthrough_r(sparse_r()))
+    assert_sparse_equal_ref(sparse_passthrough_c(sparse_c()))
+    assert_sparse_equal_ref(sparse_passthrough_r(sparse_c()))
+    assert_sparse_equal_ref(sparse_passthrough_c(sparse_r()))
+
+
+@pytest.requires_eigen_and_scipy
+def test_sparse_signature(doc):
+    from pybind11_tests import sparse_passthrough_r, sparse_passthrough_c
+
+    assert doc(sparse_passthrough_r) == """
+        sparse_passthrough_r(arg0: scipy.sparse.csr_matrix[float32]) -> scipy.sparse.csr_matrix[float32]
+    """  # noqa: E501 line too long
+    assert doc(sparse_passthrough_c) == """
+        sparse_passthrough_c(arg0: scipy.sparse.csc_matrix[float32]) -> scipy.sparse.csc_matrix[float32]
+    """  # noqa: E501 line too long

ext/pybind11/tests/test_enum.cpp

@@ -0,0 +1,68 @@
+/*
+    tests/test_enums.cpp -- enumerations
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+enum UnscopedEnum {
+    EOne = 1,
+    ETwo
+};
+
+enum class ScopedEnum {
+    Two = 2,
+    Three
+};
+
+enum Flags {
+    Read = 4,
+    Write = 2,
+    Execute = 1
+};
+
+class ClassWithUnscopedEnum {
+public:
+    enum EMode {
+        EFirstMode = 1,
+        ESecondMode
+    };
+
+    static EMode test_function(EMode mode) {
+        return mode;
+    }
+};
+
+std::string test_scoped_enum(ScopedEnum z) {
+    return "ScopedEnum::" + std::string(z == ScopedEnum::Two ? "Two" : "Three");
+}
+
+test_initializer enums([](py::module &m) {
+    m.def("test_scoped_enum", &test_scoped_enum);
+
+    py::enum_<UnscopedEnum>(m, "UnscopedEnum", py::arithmetic())
+        .value("EOne", EOne)
+        .value("ETwo", ETwo)
+        .export_values();
+
+    py::enum_<ScopedEnum>(m, "ScopedEnum", py::arithmetic())
+        .value("Two", ScopedEnum::Two)
+        .value("Three", ScopedEnum::Three);
+
+    py::enum_<Flags>(m, "Flags", py::arithmetic())
+        .value("Read", Flags::Read)
+        .value("Write", Flags::Write)
+        .value("Execute", Flags::Execute)
+        .export_values();
+
+    py::class_<ClassWithUnscopedEnum> exenum_class(m, "ClassWithUnscopedEnum");
+    exenum_class.def_static("test_function", &ClassWithUnscopedEnum::test_function);
+    py::enum_<ClassWithUnscopedEnum::EMode>(exenum_class, "EMode")
+        .value("EFirstMode", ClassWithUnscopedEnum::EFirstMode)
+        .value("ESecondMode", ClassWithUnscopedEnum::ESecondMode)
+        .export_values();
+});

ext/pybind11/tests/test_enum.py

@@ -0,0 +1,108 @@
+import pytest
+
+
+def test_unscoped_enum():
+    from pybind11_tests import UnscopedEnum, EOne
+
+    assert str(UnscopedEnum.EOne) == "UnscopedEnum.EOne"
+    assert str(UnscopedEnum.ETwo) == "UnscopedEnum.ETwo"
+    assert str(EOne) == "UnscopedEnum.EOne"
+
+    # no TypeError exception for unscoped enum ==/!= int comparisons
+    y = UnscopedEnum.ETwo
+    assert y == 2
+    assert y != 3
+
+    assert int(UnscopedEnum.ETwo) == 2
+    assert str(UnscopedEnum(2)) == "UnscopedEnum.ETwo"
+
+    # order
+    assert UnscopedEnum.EOne < UnscopedEnum.ETwo
+    assert UnscopedEnum.EOne < 2
+    assert UnscopedEnum.ETwo > UnscopedEnum.EOne
+    assert UnscopedEnum.ETwo > 1
+    assert UnscopedEnum.ETwo <= 2
+    assert UnscopedEnum.ETwo >= 2
+    assert UnscopedEnum.EOne <= UnscopedEnum.ETwo
+    assert UnscopedEnum.EOne <= 2
+    assert UnscopedEnum.ETwo >= UnscopedEnum.EOne
+    assert UnscopedEnum.ETwo >= 1
+    assert not (UnscopedEnum.ETwo < UnscopedEnum.EOne)
+    assert not (2 < UnscopedEnum.EOne)
+
+
+def test_scoped_enum():
+    from pybind11_tests import ScopedEnum, test_scoped_enum
+
+    assert test_scoped_enum(ScopedEnum.Three) == "ScopedEnum::Three"
+    z = ScopedEnum.Two
+    assert test_scoped_enum(z) == "ScopedEnum::Two"
+
+    # expected TypeError exceptions for scoped enum ==/!= int comparisons
+    with pytest.raises(TypeError):
+        assert z == 2
+    with pytest.raises(TypeError):
+        assert z != 3
+
+    # order
+    assert ScopedEnum.Two < ScopedEnum.Three
+    assert ScopedEnum.Three > ScopedEnum.Two
+    assert ScopedEnum.Two <= ScopedEnum.Three
+    assert ScopedEnum.Two <= ScopedEnum.Two
+    assert ScopedEnum.Two >= ScopedEnum.Two
+    assert ScopedEnum.Three >= ScopedEnum.Two
+
+
+def test_implicit_conversion():
+    from pybind11_tests import ClassWithUnscopedEnum
+
+    assert str(ClassWithUnscopedEnum.EMode.EFirstMode) == "EMode.EFirstMode"
+    assert str(ClassWithUnscopedEnum.EFirstMode) == "EMode.EFirstMode"
+
+    f = ClassWithUnscopedEnum.test_function
+    first = ClassWithUnscopedEnum.EFirstMode
+    second = ClassWithUnscopedEnum.ESecondMode
+
+    assert f(first) == 1
+
+    assert f(first) == f(first)
+    assert not f(first) != f(first)
+
+    assert f(first) != f(second)
+    assert not f(first) == f(second)
+
+    assert f(first) == int(f(first))
+    assert not f(first) != int(f(first))
+
+    assert f(first) != int(f(second))
+    assert not f(first) == int(f(second))
+
+    # noinspection PyDictCreation
+    x = {f(first): 1, f(second): 2}
+    x[f(first)] = 3
+    x[f(second)] = 4
+    # Hashing test
+    assert str(x) == "{EMode.EFirstMode: 3, EMode.ESecondMode: 4}"
+
+
+def test_binary_operators():
+    from pybind11_tests import Flags
+
+    assert int(Flags.Read) == 4
+    assert int(Flags.Write) == 2
+    assert int(Flags.Execute) == 1
+    assert int(Flags.Read | Flags.Write | Flags.Execute) == 7
+    assert int(Flags.Read | Flags.Write) == 6
+    assert int(Flags.Read | Flags.Execute) == 5
+    assert int(Flags.Write | Flags.Execute) == 3
+    assert int(Flags.Write | 1) == 3
+
+    state = Flags.Read | Flags.Write
+    assert (state & Flags.Read) != 0
+    assert (state & Flags.Write) != 0
+    assert (state & Flags.Execute) == 0
+    assert (state & 1) == 0
+
+    state2 = ~state
+    assert state2 == -7
+    assert int(state ^ state2) == -1

ext/pybind11/tests/test_eval.cpp

@@ -0,0 +1,79 @@
+/*
+    tests/test_eval.cpp -- Usage of eval() and eval_file()
+
+    Copyright (c) 2016 Klemens D. Morgenstern
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+
+#include <pybind11/eval.h>
+#include "pybind11_tests.h"
+
+test_initializer eval([](py::module &m) {
+    auto global = py::dict(py::module::import("__main__").attr("__dict__"));
+
+    m.def("test_eval_statements", [global]() {
+        auto local = py::dict();
+        local["call_test"] = py::cpp_function([&]() -> int {
+            return 42;
+        });
+
+        auto result = py::eval<py::eval_statements>(
+            "print('Hello World!');\n"
+            "x = call_test();",
+            global, local
+        );
+        auto x = local["x"].cast<int>();
+
+        return result == py::none() && x == 42;
+    });
+
+    m.def("test_eval", [global]() {
+        auto local = py::dict();
+        local["x"] = py::int_(42);
+        auto x = py::eval("x", global, local);
+        return x.cast<int>() == 42;
+    });
+
+    m.def("test_eval_single_statement", []() {
+        auto local = py::dict();
+        local["call_test"] = py::cpp_function([&]() -> int {
+            return 42;
+        });
+
+        auto result = py::eval<py::eval_single_statement>("x = call_test()", py::dict(), local);
+        auto x = local["x"].cast<int>();
+        return result == py::none() && x == 42;
+    });
+
+    m.def("test_eval_file", [global](py::str filename) {
+        auto local = py::dict();
+        local["y"] = py::int_(43);
+
+        int val_out;
+        local["call_test2"] = py::cpp_function([&](int value) { val_out = value; });
+
+        auto result = py::eval_file(filename, global, local);
+        return val_out == 43 && result == py::none();
+    });
+
+    m.def("test_eval_failure", []() {
+        try {
+            py::eval("nonsense code ...");
+        } catch (py::error_already_set &) {
+            return true;
+        }
+        return false;
+    });
+
+    m.def("test_eval_file_failure", []() {
+        try {
+            py::eval_file("non-existing file");
+        } catch (std::exception &) {
+            return true;
+        }
+        return false;
+    });
+});

ext/pybind11/tests/test_eval.py

@@ -0,0 +1,19 @@
+import os
+
+
+def test_evals(capture):
+    from pybind11_tests import (test_eval_statements, test_eval, test_eval_single_statement,
+                                test_eval_file, test_eval_failure, test_eval_file_failure)
+
+    with capture:
+        assert test_eval_statements()
+    assert capture == "Hello World!"
+
+    assert test_eval()
+    assert test_eval_single_statement()
+
+    filename = os.path.join(os.path.dirname(__file__), "test_eval_call.py")
+    assert test_eval_file(filename)
+
+    assert test_eval_failure()
+    assert test_eval_file_failure()

ext/pybind11/tests/test_eval_call.py

@@ -0,0 +1,4 @@
+# This file is called from 'test_eval.py'
+
+if 'call_test2' in locals():
+    call_test2(y)  # noqa: F821 undefined name

ext/pybind11/tests/test_exceptions.cpp

@@ -0,0 +1,173 @@
+/*
+    tests/test_custom-exceptions.cpp -- exception translation
+
+    Copyright (c) 2016 Pim Schellart <P.Schellart@princeton.edu>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+// A type that should be raised as an exeption in Python
+class MyException : public std::exception {
+public:
+    explicit MyException(const char * m) : message{m} {}
+    virtual const char * what() const noexcept override {return message.c_str();}
+private:
+    std::string message = "";
+};
+
+// A type that should be translated to a standard Python exception
+class MyException2 : public std::exception {
+public:
+    explicit MyException2(const char * m) : message{m} {}
+    virtual const char * what() const noexcept override {return message.c_str();}
+private:
+    std::string message = "";
+};
+
+// A type that is not derived from std::exception (and is thus unknown)
+class MyException3 {
+public:
+    explicit MyException3(const char * m) : message{m} {}
+    virtual const char * what() const noexcept {return message.c_str();}
+private:
+    std::string message = "";
+};
+
+// A type that should be translated to MyException
+// and delegated to its exception translator
+class MyException4 : public std::exception {
+public:
+    explicit MyException4(const char * m) : message{m} {}
+    virtual const char * what() const noexcept override {return message.c_str();}
+private:
+    std::string message = "";
+};
+
+
+// Like the above, but declared via the helper function
+class MyException5 : public std::logic_error {
+public:
+    explicit MyException5(const std::string &what) : std::logic_error(what) {}
+};
+
+// Inherits from MyException5
+class MyException5_1 : public MyException5 {
+    using MyException5::MyException5;
+};
+
+void throws1() {
+    throw MyException("this error should go to a custom type");
+}
+
+void throws2() {
+    throw MyException2("this error should go to a standard Python exception");
+}
+
+void throws3() {
+    throw MyException3("this error cannot be translated");
+}
+
+void throws4() {
+    throw MyException4("this error is rethrown");
+}
+
+void throws5() {
+    throw MyException5("this is a helper-defined translated exception");
+}
+
+void throws5_1() {
+    throw MyException5_1("MyException5 subclass");
+}
+
+void throws_logic_error() {
+    throw std::logic_error("this error should fall through to the standard handler");
+}
+
+struct PythonCallInDestructor {
+    PythonCallInDestructor(const py::dict &d) : d(d) {}
+    ~PythonCallInDestructor() { d["good"] = true; }
+
+    py::dict d;
+};
+
+test_initializer custom_exceptions([](py::module &m) {
+    // make a new custom exception and use it as a translation target
+    static py::exception<MyException> ex(m, "MyException");
+    py::register_exception_translator([](std::exception_ptr p) {
+        try {
+            if (p) std::rethrow_exception(p);
+        } catch (const MyException &e) {
+            // Set MyException as the active python error
+            ex(e.what());
+        }
+    });
+
+    // register new translator for MyException2
+    // no need to store anything here because this type will
+    // never by visible from Python
+    py::register_exception_translator([](std::exception_ptr p) {
+        try {
+            if (p) std::rethrow_exception(p);
+        } catch (const MyException2 &e) {
+            // Translate this exception to a standard RuntimeError
+            PyErr_SetString(PyExc_RuntimeError, e.what());
+        }
+    });
+
+    // register new translator for MyException4
+    // which will catch it and delegate to the previously registered
+    // translator for MyException by throwing a new exception
+    py::register_exception_translator([](std::exception_ptr p) {
+        try {
+            if (p) std::rethrow_exception(p);
+        } catch (const MyException4 &e) {
+            throw MyException(e.what());
+        }
+    });
+
+    // A simple exception translation:
+    auto ex5 = py::register_exception<MyException5>(m, "MyException5");
+    // A slightly more complicated one that declares MyException5_1 as a subclass of MyException5
+    py::register_exception<MyException5_1>(m, "MyException5_1", ex5.ptr());
+
+    m.def("throws1", &throws1);
+    m.def("throws2", &throws2);
+    m.def("throws3", &throws3);
+    m.def("throws4", &throws4);
+    m.def("throws5", &throws5);
+    m.def("throws5_1", &throws5_1);
+    m.def("throws_logic_error", &throws_logic_error);
+
+    m.def("throw_already_set", [](bool err) {
+        if (err)
+            PyErr_SetString(PyExc_ValueError, "foo");
+        try {
+            throw py::error_already_set();
+        } catch (const std::runtime_error& e) {
+            if ((err && e.what() != std::string("ValueError: foo")) ||
+                (!err && e.what() != std::string("Unknown internal error occurred")))
+            {
+                PyErr_Clear();
+                throw std::runtime_error("error message mismatch");
+            }
+        }
+        PyErr_Clear();
+        if (err)
+            PyErr_SetString(PyExc_ValueError, "foo");
+        throw py::error_already_set();
+    });
+
+    m.def("python_call_in_destructor", [](py::dict d) {
+        try {
+            PythonCallInDestructor set_dict_in_destructor(d);
+            PyErr_SetString(PyExc_ValueError, "foo");
+            throw py::error_already_set();
+        } catch (const py::error_already_set&) {
+            return true;
+        }
+        return false;
+    });
+});

ext/pybind11/tests/test_exceptions.py

@@ -0,0 +1,74 @@
+import pytest
+
+
+def test_error_already_set(msg):
+    from pybind11_tests import throw_already_set
+
+    with pytest.raises(RuntimeError) as excinfo:
+        throw_already_set(False)
+    assert msg(excinfo.value) == "Unknown internal error occurred"
+
+    with pytest.raises(ValueError) as excinfo:
+        throw_already_set(True)
+    assert msg(excinfo.value) == "foo"
+
+
+def test_python_call_in_catch():
+    from pybind11_tests import python_call_in_destructor
+
+    d = {}
+    assert python_call_in_destructor(d) is True
+    assert d["good"] is True
+
+
+def test_custom(msg):
+    from pybind11_tests import (MyException, MyException5, MyException5_1,
+                                throws1, throws2, throws3, throws4, throws5, throws5_1,
+                                throws_logic_error)
+
+    # Can we catch a MyException?"
+    with pytest.raises(MyException) as excinfo:
+        throws1()
+    assert msg(excinfo.value) == "this error should go to a custom type"
+
+    # Can we translate to standard Python exceptions?
+    with pytest.raises(RuntimeError) as excinfo:
+        throws2()
+    assert msg(excinfo.value) == "this error should go to a standard Python exception"
+
+    # Can we handle unknown exceptions?
+    with pytest.raises(RuntimeError) as excinfo:
+        throws3()
+    assert msg(excinfo.value) == "Caught an unknown exception!"
+
+    # Can we delegate to another handler by rethrowing?
+    with pytest.raises(MyException) as excinfo:
+        throws4()
+    assert msg(excinfo.value) == "this error is rethrown"
+
+    # "Can we fall-through to the default handler?"
+    with pytest.raises(RuntimeError) as excinfo:
+        throws_logic_error()
+    assert msg(excinfo.value) == "this error should fall through to the standard handler"
+
+    # Can we handle a helper-declared exception?
+    with pytest.raises(MyException5) as excinfo:
+        throws5()
+    assert msg(excinfo.value) == "this is a helper-defined translated exception"
+
+    # Exception subclassing:
+    with pytest.raises(MyException5) as excinfo:
+        throws5_1()
+    assert msg(excinfo.value) == "MyException5 subclass"
+    assert isinstance(excinfo.value, MyException5_1)
+
+    with pytest.raises(MyException5_1) as excinfo:
+        throws5_1()
+    assert msg(excinfo.value) == "MyException5 subclass"
+
+    with pytest.raises(MyException5) as excinfo:
+        try:
+            throws5()
+        except MyException5_1:
+            raise RuntimeError("Exception error: caught child from parent")
+    assert msg(excinfo.value) == "this is a helper-defined translated exception"

ext/pybind11/tests/test_inheritance.cpp

@@ -0,0 +1,100 @@
+/*
+    tests/test_inheritance.cpp -- inheritance, automatic upcasting for polymorphic types
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+
+class Pet {
+public:
+    Pet(const std::string &name, const std::string &species)
+        : m_name(name), m_species(species) {}
+    std::string name() const { return m_name; }
+    std::string species() const { return m_species; }
+private:
+    std::string m_name;
+    std::string m_species;
+};
+
+class Dog : public Pet {
+public:
+    Dog(const std::string &name) : Pet(name, "dog") {}
+    std::string bark() const { return "Woof!"; }
+};
+
+class Rabbit : public Pet {
+public:
+    Rabbit(const std::string &name) : Pet(name, "parrot") {}
+};
+
+class Hamster : public Pet {
+public:
+    Hamster(const std::string &name) : Pet(name, "rodent") {}
+};
+
+std::string pet_name_species(const Pet &pet) {
+    return pet.name() + " is a " + pet.species();
+}
+
+std::string dog_bark(const Dog &dog) {
+    return dog.bark();
+}
+
+
+struct BaseClass { virtual ~BaseClass() {} };
+struct DerivedClass1 : BaseClass { };
+struct DerivedClass2 : BaseClass { };
+
+test_initializer inheritance([](py::module &m) {
+    py::class_<Pet> pet_class(m, "Pet");
+    pet_class
+        .def(py::init<std::string, std::string>())
+        .def("name", &Pet::name)
+        .def("species", &Pet::species);
+
+    /* One way of declaring a subclass relationship: reference parent's class_ object */
+    py::class_<Dog>(m, "Dog", pet_class)
+        .def(py::init<std::string>());
+
+    /* Another way of declaring a subclass relationship: reference parent's C++ type */
+    py::class_<Rabbit, Pet>(m, "Rabbit")
+        .def(py::init<std::string>());
+
+    /* And another: list parent in class template arguments */
+    py::class_<Hamster, Pet>(m, "Hamster")
+        .def(py::init<std::string>());
+
+    m.def("pet_name_species", pet_name_species);
+    m.def("dog_bark", dog_bark);
+
+    py::class_<BaseClass>(m, "BaseClass").def(py::init<>());
+    py::class_<DerivedClass1>(m, "DerivedClass1").def(py::init<>());
+    py::class_<DerivedClass2>(m, "DerivedClass2").def(py::init<>());
+
+    m.def("return_class_1", []() -> BaseClass* { return new DerivedClass1(); });
+    m.def("return_class_2", []() -> BaseClass* { return new DerivedClass2(); });
+    m.def("return_class_n", [](int n) -> BaseClass* {
+        if (n == 1) return new DerivedClass1();
+        if (n == 2) return new DerivedClass2();
+        return new BaseClass();
+    });
+    m.def("return_none", []() -> BaseClass* { return nullptr; });
+
+    m.def("test_isinstance", [](py::list l) {
+        struct Unregistered { }; // checks missing type_info code path
+
+        return py::make_tuple(
+            py::isinstance<py::tuple>(l[0]),
+            py::isinstance<py::dict>(l[1]),
+            py::isinstance<Pet>(l[2]),
+            py::isinstance<Pet>(l[3]),
+            py::isinstance<Dog>(l[4]),
+            py::isinstance<Rabbit>(l[5]),
+            py::isinstance<Unregistered>(l[6])
+        );
+    });
+});

ext/pybind11/tests/test_inheritance.py

@@ -0,0 +1,55 @@
+import pytest
+
+
+def test_inheritance(msg):
+    from pybind11_tests import Pet, Dog, Rabbit, Hamster, dog_bark, pet_name_species
+
+    roger = Rabbit('Rabbit')
+    assert roger.name() + " is a " + roger.species() == "Rabbit is a parrot"
+    assert pet_name_species(roger) == "Rabbit is a parrot"
+
+    polly = Pet('Polly', 'parrot')
+    assert polly.name() + " is a " + polly.species() == "Polly is a parrot"
+    assert pet_name_species(polly) == "Polly is a parrot"
+
+    molly = Dog('Molly')
+    assert molly.name() + " is a " + molly.species() == "Molly is a dog"
+    assert pet_name_species(molly) == "Molly is a dog"
+
+    fred = Hamster('Fred')
+    assert fred.name() + " is a " + fred.species() == "Fred is a rodent"
+
+    assert dog_bark(molly) == "Woof!"
+
+    with pytest.raises(TypeError) as excinfo:
+        dog_bark(polly)
+    assert msg(excinfo.value) == """
+        dog_bark(): incompatible function arguments. The following argument types are supported:
+            1. (arg0: m.Dog) -> str
+
+        Invoked with: <m.Pet object at 0>
+    """
+
+
+def test_automatic_upcasting():
+    from pybind11_tests import return_class_1, return_class_2, return_class_n, return_none
+
+    assert type(return_class_1()).__name__ == "DerivedClass1"
+    assert type(return_class_2()).__name__ == "DerivedClass2"
+    assert type(return_none()).__name__ == "NoneType"
+    # Repeat these a few times in a random order to ensure no invalid caching is applied
+    assert type(return_class_n(1)).__name__ == "DerivedClass1"
+    assert type(return_class_n(2)).__name__ == "DerivedClass2"
+    assert type(return_class_n(0)).__name__ == "BaseClass"
+    assert type(return_class_n(2)).__name__ == "DerivedClass2"
+    assert type(return_class_n(2)).__name__ == "DerivedClass2"
+    assert type(return_class_n(0)).__name__ == "BaseClass"
+    assert type(return_class_n(1)).__name__ == "DerivedClass1"
+
+
+def test_isinstance():
+    from pybind11_tests import test_isinstance, Pet, Dog
+
+    objects = [tuple(), dict(), Pet("Polly", "parrot")] + [Dog("Molly")] * 4
+    expected = (True, True, True, True, True, False, False)
+    assert test_isinstance(objects) == expected

ext/pybind11/tests/test_installed_module/CMakeLists.txt

@@ -0,0 +1,14 @@
+cmake_minimum_required(VERSION 2.8.12)
+project(test_installed_module CXX)
+
+set(CMAKE_MODULE_PATH "")
+
+find_package(pybind11 CONFIG REQUIRED)
+
+message(STATUS "Found pybind11: ${pybind11_INCLUDE_DIRS} (found version ${pybind11_VERSION})")
+message(STATUS "Found Python: ${PYTHON_INCLUDE_DIRS} (found version ${PYTHON_VERSION_STRING})")
+
+pybind11_add_module(test_installed_module SHARED main.cpp)
+
+add_custom_target(check ${CMAKE_COMMAND} -E env PYTHONPATH=$<TARGET_FILE_DIR:test_installed_module>
+                  ${PYTHON_EXECUTABLE} ${PROJECT_SOURCE_DIR}/test.py)