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
--- /dev/null
+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%
--- /dev/null
+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
--- /dev/null
+[submodule "tools/clang"]
+ path = tools/clang
+ url = https://github.com/wjakob/clang-cindex-python3
--- /dev/null
+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
--- /dev/null
+# 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()
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+include include/pybind11/*.h
+include LICENSE README.md CONTRIBUTING.md
--- /dev/null
+
+
+# pybind11 — Seamless operability between C++11 and Python
+
+[](http://pybind11.readthedocs.org/en/master/?badge=master)
+[](http://pybind11.readthedocs.org/en/stable/?badge=stable)
+[](https://travis-ci.org/pybind/pybind11)
+[](https://ci.appveyor.com/project/wjakob/pybind11)
+
+**pybind11** is a lightweight header-only library that exposes C++ types in Python
+and vice versa, mainly to create Python bindings of existing C++ code. Its
+goals and syntax are similar to the excellent
+[Boost.Python](http://www.boost.org/doc/libs/1_58_0/libs/python/doc/) library
+by David Abrahams: to minimize boilerplate code in traditional extension
+modules by inferring type information using compile-time introspection.
+
+The main issue with Boost.Python—and the reason for creating such a similar
+project—is Boost. Boost is an enormously large and complex suite of utility
+libraries that works with almost every C++ compiler in existence. This
+compatibility has its cost: arcane template tricks and workarounds are
+necessary to support the oldest and buggiest of compiler specimens. Now that
+C++11-compatible compilers are widely available, this heavy machinery has
+become an excessively large and unnecessary dependency.
+
+Think of this library as a tiny self-contained version of Boost.Python with
+everything stripped away that isn't relevant for binding generation. Without
+comments, the core header files only require ~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 MiÄ…sko,
+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.
--- /dev/null
+.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;
+}
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+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
+
--- /dev/null
+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` |
++------------------------------------+---------------------------+-------------------------------+
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+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.
--- /dev/null
+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);
--- /dev/null
+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
--- /dev/null
+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
--- /dev/null
+.. _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.
--- /dev/null
+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/
--- /dev/null
+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);
--- /dev/null
+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.
--- /dev/null
+.. _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.
--- /dev/null
+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 ("}")
--- /dev/null
+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
+
+
--- /dev/null
+.. _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
--- /dev/null
+.. _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.
--- /dev/null
+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
+
--- /dev/null
+#!/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'
--- /dev/null
+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.
--- /dev/null
+.. 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
--- /dev/null
+.. 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
--- /dev/null
+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.
+
--- /dev/null
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+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
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+ <use xlink:href="#glyph4-14" x="436.541016" y="140.28418"/>
+</g>
+</g>
+</svg>
--- /dev/null
+.. _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
+
--- /dev/null
+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``
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ pybind11/cast.h: Partial template specializations to cast between
+ C++ and 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 "pytypes.h"
+#include "typeid.h"
+#include "descr.h"
+#include <array>
+#include <limits>
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+
+/// Additional type information which does not fit into the PyTypeObject
+struct type_info {
+ PyTypeObject *type;
+ size_t type_size;
+ void (*init_holder)(PyObject *, const void *);
+ std::vector<PyObject *(*)(PyObject *, PyTypeObject *)> implicit_conversions;
+ std::vector<std::pair<const std::type_info *, void *(*)(void *)>> implicit_casts;
+ std::vector<bool (*)(PyObject *, void *&)> *direct_conversions;
+ buffer_info *(*get_buffer)(PyObject *, void *) = nullptr;
+ void *get_buffer_data = nullptr;
+ /** A simple type never occurs as a (direct or indirect) parent
+ * of a class that makes use of multiple inheritance */
+ bool simple_type = true;
+};
+
+PYBIND11_NOINLINE inline internals &get_internals() {
+ static internals *internals_ptr = nullptr;
+ if (internals_ptr)
+ return *internals_ptr;
+ handle builtins(PyEval_GetBuiltins());
+ const char *id = PYBIND11_INTERNALS_ID;
+ if (builtins.contains(id) && isinstance<capsule>(builtins[id])) {
+ internals_ptr = capsule(builtins[id]);
+ } else {
+ internals_ptr = new internals();
+ #if defined(WITH_THREAD)
+ PyEval_InitThreads();
+ PyThreadState *tstate = PyThreadState_Get();
+ internals_ptr->tstate = PyThread_create_key();
+ PyThread_set_key_value(internals_ptr->tstate, tstate);
+ internals_ptr->istate = tstate->interp;
+ #endif
+ builtins[id] = capsule(internals_ptr);
+ internals_ptr->registered_exception_translators.push_front(
+ [](std::exception_ptr p) -> void {
+ try {
+ if (p) std::rethrow_exception(p);
+ } catch (error_already_set &e) { e.restore(); return;
+ } catch (const builtin_exception &e) { e.set_error(); return;
+ } catch (const std::bad_alloc &e) { PyErr_SetString(PyExc_MemoryError, e.what()); return;
+ } catch (const std::domain_error &e) { PyErr_SetString(PyExc_ValueError, e.what()); return;
+ } catch (const std::invalid_argument &e) { PyErr_SetString(PyExc_ValueError, e.what()); return;
+ } catch (const std::length_error &e) { PyErr_SetString(PyExc_ValueError, e.what()); return;
+ } catch (const std::out_of_range &e) { PyErr_SetString(PyExc_IndexError, e.what()); return;
+ } catch (const std::range_error &e) { PyErr_SetString(PyExc_ValueError, e.what()); return;
+ } catch (const std::exception &e) { PyErr_SetString(PyExc_RuntimeError, e.what()); return;
+ } catch (...) {
+ PyErr_SetString(PyExc_RuntimeError, "Caught an unknown exception!");
+ return;
+ }
+ }
+ );
+ }
+ return *internals_ptr;
+}
+
+PYBIND11_NOINLINE inline detail::type_info* get_type_info(PyTypeObject *type) {
+ auto const &type_dict = get_internals().registered_types_py;
+ do {
+ auto it = type_dict.find(type);
+ if (it != type_dict.end())
+ return (detail::type_info *) it->second;
+ type = type->tp_base;
+ if (!type)
+ return nullptr;
+ } while (true);
+}
+
+PYBIND11_NOINLINE inline detail::type_info *get_type_info(const std::type_info &tp,
+ bool throw_if_missing = false) {
+ auto &types = get_internals().registered_types_cpp;
+
+ auto it = types.find(std::type_index(tp));
+ if (it != types.end())
+ return (detail::type_info *) it->second;
+ if (throw_if_missing) {
+ std::string tname = tp.name();
+ detail::clean_type_id(tname);
+ pybind11_fail("pybind11::detail::get_type_info: unable to find type info for \"" + tname + "\"");
+ }
+ return nullptr;
+}
+
+PYBIND11_NOINLINE inline handle get_type_handle(const std::type_info &tp, bool throw_if_missing) {
+ detail::type_info *type_info = get_type_info(tp, throw_if_missing);
+ return handle(type_info ? ((PyObject *) type_info->type) : nullptr);
+}
+
+PYBIND11_NOINLINE inline bool isinstance_generic(handle obj, const std::type_info &tp) {
+ const auto type = detail::get_type_handle(tp, false);
+ if (!type)
+ return false;
+
+ const auto result = PyObject_IsInstance(obj.ptr(), type.ptr());
+ if (result == -1)
+ throw error_already_set();
+ return result != 0;
+}
+
+PYBIND11_NOINLINE inline std::string error_string() {
+ if (!PyErr_Occurred()) {
+ PyErr_SetString(PyExc_RuntimeError, "Unknown internal error occurred");
+ return "Unknown internal error occurred";
+ }
+
+ error_scope scope; // Preserve error state
+
+ std::string errorString;
+ if (scope.type) {
+ errorString += handle(scope.type).attr("__name__").cast<std::string>();
+ errorString += ": ";
+ }
+ if (scope.value)
+ errorString += (std::string) str(scope.value);
+
+ PyErr_NormalizeException(&scope.type, &scope.value, &scope.trace);
+
+#if PY_MAJOR_VERSION >= 3
+ if (scope.trace != nullptr)
+ PyException_SetTraceback(scope.value, scope.trace);
+#endif
+
+ if (scope.trace) {
+ PyTracebackObject *trace = (PyTracebackObject *) scope.trace;
+
+ /* Get the deepest trace possible */
+ while (trace->tb_next)
+ trace = trace->tb_next;
+
+ PyFrameObject *frame = trace->tb_frame;
+ errorString += "\n\nAt:\n";
+ while (frame) {
+ int lineno = PyFrame_GetLineNumber(frame);
+ errorString +=
+ " " + handle(frame->f_code->co_filename).cast<std::string>() +
+ "(" + std::to_string(lineno) + "): " +
+ handle(frame->f_code->co_name).cast<std::string>() + "\n";
+ frame = frame->f_back;
+ }
+ trace = trace->tb_next;
+ }
+
+ return errorString;
+}
+
+PYBIND11_NOINLINE inline handle get_object_handle(const void *ptr, const detail::type_info *type ) {
+ auto &instances = get_internals().registered_instances;
+ auto range = instances.equal_range(ptr);
+ for (auto it = range.first; it != range.second; ++it) {
+ auto instance_type = detail::get_type_info(Py_TYPE(it->second));
+ if (instance_type && instance_type == type)
+ return handle((PyObject *) it->second);
+ }
+ return handle();
+}
+
+inline PyThreadState *get_thread_state_unchecked() {
+#if PY_VERSION_HEX < 0x03000000
+ return _PyThreadState_Current;
+#elif PY_VERSION_HEX < 0x03050000
+ return (PyThreadState*) _Py_atomic_load_relaxed(&_PyThreadState_Current);
+#elif PY_VERSION_HEX < 0x03050200
+ return (PyThreadState*) _PyThreadState_Current.value;
+#else
+ return _PyThreadState_UncheckedGet();
+#endif
+}
+
+// Forward declaration
+inline void keep_alive_impl(handle nurse, handle patient);
+
+class type_caster_generic {
+public:
+ PYBIND11_NOINLINE type_caster_generic(const std::type_info &type_info)
+ : typeinfo(get_type_info(type_info)) { }
+
+ PYBIND11_NOINLINE bool load(handle src, bool convert) {
+ if (!src)
+ return false;
+ return load(src, convert, Py_TYPE(src.ptr()));
+ }
+
+ bool load(handle src, bool convert, PyTypeObject *tobj) {
+ if (!src || !typeinfo)
+ return false;
+ if (src.is_none()) {
+ value = nullptr;
+ return true;
+ }
+
+ if (typeinfo->simple_type) { /* Case 1: no multiple inheritance etc. involved */
+ /* Check if we can safely perform a reinterpret-style cast */
+ if (PyType_IsSubtype(tobj, typeinfo->type)) {
+ value = reinterpret_cast<instance<void> *>(src.ptr())->value;
+ return true;
+ }
+ } else { /* Case 2: multiple inheritance */
+ /* Check if we can safely perform a reinterpret-style cast */
+ if (tobj == typeinfo->type) {
+ value = reinterpret_cast<instance<void> *>(src.ptr())->value;
+ return true;
+ }
+
+ /* If this is a python class, also check the parents recursively */
+ auto const &type_dict = get_internals().registered_types_py;
+ bool new_style_class = PyType_Check(tobj);
+ if (type_dict.find(tobj) == type_dict.end() && new_style_class && tobj->tp_bases) {
+ auto parents = reinterpret_borrow<tuple>(tobj->tp_bases);
+ for (handle parent : parents) {
+ bool result = load(src, convert, (PyTypeObject *) parent.ptr());
+ if (result)
+ return true;
+ }
+ }
+
+ /* Try implicit casts */
+ for (auto &cast : typeinfo->implicit_casts) {
+ type_caster_generic sub_caster(*cast.first);
+ if (sub_caster.load(src, convert)) {
+ value = cast.second(sub_caster.value);
+ return true;
+ }
+ }
+ }
+
+ /* Perform an implicit conversion */
+ if (convert) {
+ for (auto &converter : typeinfo->implicit_conversions) {
+ temp = reinterpret_steal<object>(converter(src.ptr(), typeinfo->type));
+ if (load(temp, false))
+ return true;
+ }
+ for (auto &converter : *typeinfo->direct_conversions) {
+ if (converter(src.ptr(), value))
+ return true;
+ }
+ }
+ return false;
+ }
+
+ PYBIND11_NOINLINE static handle cast(const void *_src, return_value_policy policy, handle parent,
+ const std::type_info *type_info,
+ const std::type_info *type_info_backup,
+ void *(*copy_constructor)(const void *),
+ void *(*move_constructor)(const void *),
+ const void *existing_holder = nullptr) {
+ void *src = const_cast<void *>(_src);
+ if (src == nullptr)
+ return none().inc_ref();
+
+ auto &internals = get_internals();
+
+ auto it = internals.registered_types_cpp.find(std::type_index(*type_info));
+ if (it == internals.registered_types_cpp.end()) {
+ type_info = type_info_backup;
+ it = internals.registered_types_cpp.find(std::type_index(*type_info));
+ }
+
+ if (it == internals.registered_types_cpp.end()) {
+ std::string tname = type_info->name();
+ detail::clean_type_id(tname);
+ std::string msg = "Unregistered type : " + tname;
+ PyErr_SetString(PyExc_TypeError, msg.c_str());
+ return handle();
+ }
+
+ auto tinfo = (const detail::type_info *) it->second;
+
+ auto it_instances = internals.registered_instances.equal_range(src);
+ for (auto it_i = it_instances.first; it_i != it_instances.second; ++it_i) {
+ auto instance_type = detail::get_type_info(Py_TYPE(it_i->second));
+ if (instance_type && instance_type == tinfo)
+ return handle((PyObject *) it_i->second).inc_ref();
+ }
+
+ auto inst = reinterpret_steal<object>(PyType_GenericAlloc(tinfo->type, 0));
+
+ auto wrapper = (instance<void> *) inst.ptr();
+
+ wrapper->value = nullptr;
+ wrapper->owned = false;
+
+ switch (policy) {
+ case return_value_policy::automatic:
+ case return_value_policy::take_ownership:
+ wrapper->value = src;
+ wrapper->owned = true;
+ break;
+
+ case return_value_policy::automatic_reference:
+ case return_value_policy::reference:
+ wrapper->value = src;
+ wrapper->owned = false;
+ break;
+
+ case return_value_policy::copy:
+ if (copy_constructor)
+ wrapper->value = copy_constructor(src);
+ else
+ throw cast_error("return_value_policy = copy, but the "
+ "object is non-copyable!");
+ wrapper->owned = true;
+ break;
+
+ case return_value_policy::move:
+ if (move_constructor)
+ wrapper->value = move_constructor(src);
+ else if (copy_constructor)
+ wrapper->value = copy_constructor(src);
+ else
+ throw cast_error("return_value_policy = move, but the "
+ "object is neither movable nor copyable!");
+ wrapper->owned = true;
+ break;
+
+ case return_value_policy::reference_internal:
+ wrapper->value = src;
+ wrapper->owned = false;
+ detail::keep_alive_impl(inst, parent);
+ break;
+
+ default:
+ throw cast_error("unhandled return_value_policy: should not happen!");
+ }
+
+ tinfo->init_holder(inst.ptr(), existing_holder);
+
+ internals.registered_instances.emplace(wrapper->value, inst.ptr());
+
+ return inst.release();
+ }
+
+protected:
+ const type_info *typeinfo = nullptr;
+ void *value = nullptr;
+ object temp;
+};
+
+/* Determine suitable casting operator */
+template <typename T>
+using cast_op_type = typename std::conditional<std::is_pointer<typename std::remove_reference<T>::type>::value,
+ typename std::add_pointer<intrinsic_t<T>>::type,
+ typename std::add_lvalue_reference<intrinsic_t<T>>::type>::type;
+
+// std::is_copy_constructible isn't quite enough: it lets std::vector<T> (and similar) through when
+// T is non-copyable, but code containing such a copy constructor fails to actually compile.
+template <typename T, typename SFINAE = void> struct is_copy_constructible : std::is_copy_constructible<T> {};
+
+// Specialization for types that appear to be copy constructible but also look like stl containers
+// (we specifically check for: has `value_type` and `reference` with `reference = value_type&`): if
+// so, copy constructability depends on whether the value_type is copy constructible.
+template <typename Container> struct is_copy_constructible<Container, enable_if_t<
+ std::is_copy_constructible<Container>::value &&
+ std::is_same<typename Container::value_type &, typename Container::reference>::value
+ >> : std::is_copy_constructible<typename Container::value_type> {};
+
+/// Generic type caster for objects stored on the heap
+template <typename type> class type_caster_base : public type_caster_generic {
+ using itype = intrinsic_t<type>;
+public:
+ static PYBIND11_DESCR name() { return type_descr(_<type>()); }
+
+ type_caster_base() : type_caster_base(typeid(type)) { }
+ explicit type_caster_base(const std::type_info &info) : type_caster_generic(info) { }
+
+ static handle cast(const itype &src, return_value_policy policy, handle parent) {
+ if (policy == return_value_policy::automatic || policy == return_value_policy::automatic_reference)
+ policy = return_value_policy::copy;
+ return cast(&src, policy, parent);
+ }
+
+ static handle cast(itype &&src, return_value_policy, handle parent) {
+ return cast(&src, return_value_policy::move, parent);
+ }
+
+ static handle cast(const itype *src, return_value_policy policy, handle parent) {
+ return type_caster_generic::cast(
+ src, policy, parent, src ? &typeid(*src) : nullptr, &typeid(type),
+ make_copy_constructor(src), make_move_constructor(src));
+ }
+
+ template <typename T> using cast_op_type = pybind11::detail::cast_op_type<T>;
+
+ operator itype*() { return (type *) value; }
+ operator itype&() { if (!value) throw reference_cast_error(); return *((itype *) value); }
+
+protected:
+ typedef void *(*Constructor)(const void *stream);
+#if !defined(_MSC_VER)
+ /* Only enabled when the types are {copy,move}-constructible *and* when the type
+ does not have a private operator new implementaton. */
+ template <typename T = type, typename = enable_if_t<is_copy_constructible<T>::value>> static auto make_copy_constructor(const T *value) -> decltype(new T(*value), Constructor(nullptr)) {
+ return [](const void *arg) -> void * { return new T(*((const T *) arg)); }; }
+ template <typename T = type> static auto make_move_constructor(const T *value) -> decltype(new T(std::move(*((T *) value))), Constructor(nullptr)) {
+ return [](const void *arg) -> void * { return (void *) new T(std::move(*((T *) arg))); }; }
+#else
+ /* Visual Studio 2015's SFINAE implementation doesn't yet handle the above robustly in all situations.
+ Use a workaround that only tests for constructibility for now. */
+ template <typename T = type, typename = enable_if_t<is_copy_constructible<T>::value>>
+ static Constructor make_copy_constructor(const T *value) {
+ return [](const void *arg) -> void * { return new T(*((const T *)arg)); }; }
+ template <typename T = type, typename = enable_if_t<std::is_move_constructible<T>::value>>
+ static Constructor make_move_constructor(const T *value) {
+ return [](const void *arg) -> void * { return (void *) new T(std::move(*((T *)arg))); }; }
+#endif
+
+ static Constructor make_copy_constructor(...) { return nullptr; }
+ static Constructor make_move_constructor(...) { return nullptr; }
+};
+
+template <typename type, typename SFINAE = void> class type_caster : public type_caster_base<type> { };
+template <typename type> using make_caster = type_caster<intrinsic_t<type>>;
+
+// Shortcut for calling a caster's `cast_op_type` cast operator for casting a type_caster to a T
+template <typename T> typename make_caster<T>::template cast_op_type<T> cast_op(make_caster<T> &caster) {
+ return caster.operator typename make_caster<T>::template cast_op_type<T>();
+}
+template <typename T> typename make_caster<T>::template cast_op_type<T> cast_op(make_caster<T> &&caster) {
+ return cast_op<T>(caster);
+}
+
+template <typename type> class type_caster<std::reference_wrapper<type>> : public type_caster_base<type> {
+public:
+ static handle cast(const std::reference_wrapper<type> &src, return_value_policy policy, handle parent) {
+ return type_caster_base<type>::cast(&src.get(), policy, parent);
+ }
+ template <typename T> using cast_op_type = std::reference_wrapper<type>;
+ operator std::reference_wrapper<type>() { return std::ref(*((type *) this->value)); }
+};
+
+#define PYBIND11_TYPE_CASTER(type, py_name) \
+ protected: \
+ type value; \
+ public: \
+ static PYBIND11_DESCR name() { return type_descr(py_name); } \
+ static handle cast(const type *src, return_value_policy policy, handle parent) { \
+ return cast(*src, policy, parent); \
+ } \
+ operator type*() { return &value; } \
+ operator type&() { return value; } \
+ template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>
+
+
+template <typename T>
+struct type_caster<T, enable_if_t<std::is_arithmetic<T>::value>> {
+ typedef typename std::conditional<sizeof(T) <= sizeof(long), long, long long>::type _py_type_0;
+ typedef typename std::conditional<std::is_signed<T>::value, _py_type_0, typename std::make_unsigned<_py_type_0>::type>::type _py_type_1;
+ typedef typename std::conditional<std::is_floating_point<T>::value, double, _py_type_1>::type py_type;
+public:
+
+ bool load(handle src, bool) {
+ py_type py_value;
+
+ if (!src) {
+ return false;
+ } if (std::is_floating_point<T>::value) {
+ py_value = (py_type) PyFloat_AsDouble(src.ptr());
+ } else if (sizeof(T) <= sizeof(long)) {
+ if (PyFloat_Check(src.ptr()))
+ return false;
+ if (std::is_signed<T>::value)
+ py_value = (py_type) PyLong_AsLong(src.ptr());
+ else
+ py_value = (py_type) PyLong_AsUnsignedLong(src.ptr());
+ } else {
+ if (PyFloat_Check(src.ptr()))
+ return false;
+ if (std::is_signed<T>::value)
+ py_value = (py_type) PYBIND11_LONG_AS_LONGLONG(src.ptr());
+ else
+ py_value = (py_type) PYBIND11_LONG_AS_UNSIGNED_LONGLONG(src.ptr());
+ }
+
+ if ((py_value == (py_type) -1 && PyErr_Occurred()) ||
+ (std::is_integral<T>::value && sizeof(py_type) != sizeof(T) &&
+ (py_value < (py_type) std::numeric_limits<T>::min() ||
+ py_value > (py_type) std::numeric_limits<T>::max()))) {
+#if PY_VERSION_HEX < 0x03000000
+ bool type_error = PyErr_ExceptionMatches(PyExc_SystemError);
+#else
+ bool type_error = PyErr_ExceptionMatches(PyExc_TypeError);
+#endif
+ PyErr_Clear();
+ if (type_error && PyNumber_Check(src.ptr())) {
+ auto tmp = reinterpret_borrow<object>(std::is_floating_point<T>::value
+ ? PyNumber_Float(src.ptr())
+ : PyNumber_Long(src.ptr()));
+ PyErr_Clear();
+ return load(tmp, false);
+ }
+ return false;
+ }
+
+ value = (T) py_value;
+ return true;
+ }
+
+ static handle cast(T src, return_value_policy /* policy */, handle /* parent */) {
+ if (std::is_floating_point<T>::value) {
+ return PyFloat_FromDouble((double) src);
+ } else if (sizeof(T) <= sizeof(long)) {
+ if (std::is_signed<T>::value)
+ return PyLong_FromLong((long) src);
+ else
+ return PyLong_FromUnsignedLong((unsigned long) src);
+ } else {
+ if (std::is_signed<T>::value)
+ return PyLong_FromLongLong((long long) src);
+ else
+ return PyLong_FromUnsignedLongLong((unsigned long long) src);
+ }
+ }
+
+ PYBIND11_TYPE_CASTER(T, _<std::is_integral<T>::value>("int", "float"));
+};
+
+template<typename T> struct void_caster {
+public:
+ bool load(handle, bool) { return false; }
+ static handle cast(T, return_value_policy /* policy */, handle /* parent */) {
+ return none().inc_ref();
+ }
+ PYBIND11_TYPE_CASTER(T, _("None"));
+};
+
+template <> class type_caster<void_type> : public void_caster<void_type> {};
+
+template <> class type_caster<void> : public type_caster<void_type> {
+public:
+ using type_caster<void_type>::cast;
+
+ bool load(handle h, bool) {
+ if (!h) {
+ return false;
+ } else if (h.is_none()) {
+ value = nullptr;
+ return true;
+ }
+
+ /* Check if this is a capsule */
+ if (isinstance<capsule>(h)) {
+ value = reinterpret_borrow<capsule>(h);
+ return true;
+ }
+
+ /* Check if this is a C++ type */
+ if (get_type_info((PyTypeObject *) h.get_type().ptr())) {
+ value = ((instance<void> *) h.ptr())->value;
+ return true;
+ }
+
+ /* Fail */
+ return false;
+ }
+
+ static handle cast(const void *ptr, return_value_policy /* policy */, handle /* parent */) {
+ if (ptr)
+ return capsule(ptr).release();
+ else
+ return none().inc_ref();
+ }
+
+ template <typename T> using cast_op_type = void*&;
+ operator void *&() { return value; }
+ static PYBIND11_DESCR name() { return type_descr(_("capsule")); }
+private:
+ void *value = nullptr;
+};
+
+template <> class type_caster<std::nullptr_t> : public type_caster<void_type> { };
+
+template <> class type_caster<bool> {
+public:
+ bool load(handle src, bool) {
+ if (!src) return false;
+ else if (src.ptr() == Py_True) { value = true; return true; }
+ else if (src.ptr() == Py_False) { value = false; return true; }
+ else return false;
+ }
+ static handle cast(bool src, return_value_policy /* policy */, handle /* parent */) {
+ return handle(src ? Py_True : Py_False).inc_ref();
+ }
+ PYBIND11_TYPE_CASTER(bool, _("bool"));
+};
+
+template <> class type_caster<std::string> {
+public:
+ bool load(handle src, bool) {
+ object temp;
+ handle load_src = src;
+ if (!src) {
+ return false;
+ } else if (PyUnicode_Check(load_src.ptr())) {
+ temp = reinterpret_steal<object>(PyUnicode_AsUTF8String(load_src.ptr()));
+ if (!temp) { PyErr_Clear(); return false; } // UnicodeEncodeError
+ load_src = temp;
+ }
+ char *buffer;
+ ssize_t length;
+ int err = PYBIND11_BYTES_AS_STRING_AND_SIZE(load_src.ptr(), &buffer, &length);
+ if (err == -1) { PyErr_Clear(); return false; } // TypeError
+ value = std::string(buffer, (size_t) length);
+ success = true;
+ return true;
+ }
+
+ static handle cast(const std::string &src, return_value_policy /* policy */, handle /* parent */) {
+ return PyUnicode_FromStringAndSize(src.c_str(), (ssize_t) src.length());
+ }
+
+ PYBIND11_TYPE_CASTER(std::string, _(PYBIND11_STRING_NAME));
+protected:
+ bool success = false;
+};
+
+template <typename type, typename deleter> class type_caster<std::unique_ptr<type, deleter>> {
+public:
+ static handle cast(std::unique_ptr<type, deleter> &&src, return_value_policy policy, handle parent) {
+ handle result = type_caster_base<type>::cast(src.get(), policy, parent);
+ if (result)
+ src.release();
+ return result;
+ }
+ static PYBIND11_DESCR name() { return type_caster_base<type>::name(); }
+};
+
+template <> class type_caster<std::wstring> {
+public:
+ bool load(handle src, bool) {
+ object temp;
+ handle load_src = src;
+ if (!src) {
+ return false;
+ } else if (!PyUnicode_Check(load_src.ptr())) {
+ temp = reinterpret_steal<object>(PyUnicode_FromObject(load_src.ptr()));
+ if (!temp) { PyErr_Clear(); return false; }
+ load_src = temp;
+ }
+ wchar_t *buffer = nullptr;
+ ssize_t length = -1;
+#if PY_MAJOR_VERSION >= 3
+ buffer = PyUnicode_AsWideCharString(load_src.ptr(), &length);
+#else
+ temp = reinterpret_steal<object>(
+ sizeof(wchar_t) == sizeof(short)
+ ? PyUnicode_AsUTF16String(load_src.ptr())
+ : PyUnicode_AsUTF32String(load_src.ptr()));
+ if (temp) {
+ int err = PYBIND11_BYTES_AS_STRING_AND_SIZE(temp.ptr(), (char **) &buffer, &length);
+ if (err == -1) { buffer = nullptr; } // TypeError
+ length = length / (ssize_t) sizeof(wchar_t) - 1; ++buffer; // Skip BOM
+ }
+#endif
+ if (!buffer) { PyErr_Clear(); return false; }
+ value = std::wstring(buffer, (size_t) length);
+ success = true;
+ return true;
+ }
+
+ static handle cast(const std::wstring &src, return_value_policy /* policy */, handle /* parent */) {
+ return PyUnicode_FromWideChar(src.c_str(), (ssize_t) src.length());
+ }
+
+ PYBIND11_TYPE_CASTER(std::wstring, _(PYBIND11_STRING_NAME));
+protected:
+ bool success = false;
+};
+
+template <> class type_caster<char> : public type_caster<std::string> {
+public:
+ bool load(handle src, bool convert) {
+ if (src.is_none()) return true;
+ return type_caster<std::string>::load(src, convert);
+ }
+
+ static handle cast(const char *src, return_value_policy /* policy */, handle /* parent */) {
+ if (src == nullptr) return none().inc_ref();
+ return PyUnicode_FromString(src);
+ }
+
+ static handle cast(char src, return_value_policy /* policy */, handle /* parent */) {
+ char str[2] = { src, '\0' };
+ return PyUnicode_DecodeLatin1(str, 1, nullptr);
+ }
+
+ operator char*() { return success ? (char *) value.c_str() : nullptr; }
+ operator char&() { return value[0]; }
+
+ static PYBIND11_DESCR name() { return type_descr(_(PYBIND11_STRING_NAME)); }
+};
+
+template <> class type_caster<wchar_t> : public type_caster<std::wstring> {
+public:
+ bool load(handle src, bool convert) {
+ if (src.is_none()) return true;
+ return type_caster<std::wstring>::load(src, convert);
+ }
+
+ static handle cast(const wchar_t *src, return_value_policy /* policy */, handle /* parent */) {
+ if (src == nullptr) return none().inc_ref();
+ return PyUnicode_FromWideChar(src, (ssize_t) wcslen(src));
+ }
+
+ static handle cast(wchar_t src, return_value_policy /* policy */, handle /* parent */) {
+ wchar_t wstr[2] = { src, L'\0' };
+ return PyUnicode_FromWideChar(wstr, 1);
+ }
+
+ operator wchar_t*() { return success ? (wchar_t *) value.c_str() : nullptr; }
+ operator wchar_t&() { return value[0]; }
+
+ static PYBIND11_DESCR name() { return type_descr(_(PYBIND11_STRING_NAME)); }
+};
+
+template <typename T1, typename T2> class type_caster<std::pair<T1, T2>> {
+ typedef std::pair<T1, T2> type;
+public:
+ bool load(handle src, bool convert) {
+ if (!isinstance<sequence>(src))
+ return false;
+ const auto seq = reinterpret_borrow<sequence>(src);
+ if (seq.size() != 2)
+ return false;
+ return first.load(seq[0], convert) && second.load(seq[1], convert);
+ }
+
+ static handle cast(const type &src, return_value_policy policy, handle parent) {
+ auto o1 = reinterpret_steal<object>(make_caster<T1>::cast(src.first, policy, parent));
+ auto o2 = reinterpret_steal<object>(make_caster<T2>::cast(src.second, policy, parent));
+ if (!o1 || !o2)
+ return handle();
+ tuple result(2);
+ PyTuple_SET_ITEM(result.ptr(), 0, o1.release().ptr());
+ PyTuple_SET_ITEM(result.ptr(), 1, o2.release().ptr());
+ return result.release();
+ }
+
+ static PYBIND11_DESCR name() {
+ return type_descr(
+ _("Tuple[") + make_caster<T1>::name() + _(", ") + make_caster<T2>::name() + _("]")
+ );
+ }
+
+ template <typename T> using cast_op_type = type;
+
+ operator type() {
+ return type(cast_op<T1>(first), cast_op<T2>(second));
+ }
+protected:
+ make_caster<T1> first;
+ make_caster<T2> second;
+};
+
+template <typename... Tuple> class type_caster<std::tuple<Tuple...>> {
+ using type = std::tuple<Tuple...>;
+ using indices = make_index_sequence<sizeof...(Tuple)>;
+ static constexpr auto size = sizeof...(Tuple);
+
+public:
+ bool load(handle src, bool convert) {
+ if (!isinstance<sequence>(src))
+ return false;
+ const auto seq = reinterpret_borrow<sequence>(src);
+ if (seq.size() != size)
+ return false;
+ return load_impl(seq, convert, indices{});
+ }
+
+ static handle cast(const type &src, return_value_policy policy, handle parent) {
+ return cast_impl(src, policy, parent, indices{});
+ }
+
+ static PYBIND11_DESCR name() {
+ return type_descr(_("Tuple[") + detail::concat(make_caster<Tuple>::name()...) + _("]"));
+ }
+
+ template <typename T> using cast_op_type = type;
+
+ operator type() { return implicit_cast(indices{}); }
+
+protected:
+ template <size_t... Is>
+ type implicit_cast(index_sequence<Is...>) { return type(cast_op<Tuple>(std::get<Is>(value))...); }
+
+ static constexpr bool load_impl(const sequence &, bool, index_sequence<>) { return true; }
+
+ template <size_t... Is>
+ bool load_impl(const sequence &seq, bool convert, index_sequence<Is...>) {
+ for (bool r : {std::get<Is>(value).load(seq[Is], convert)...})
+ if (!r)
+ return false;
+ return true;
+ }
+
+ static handle cast_impl(const type &, return_value_policy, handle,
+ index_sequence<>) { return tuple().release(); }
+
+ /* Implementation: Convert a C++ tuple into a Python tuple */
+ template <size_t... Is>
+ static handle cast_impl(const type &src, return_value_policy policy, handle parent, index_sequence<Is...>) {
+ std::array<object, size> entries {{
+ reinterpret_steal<object>(make_caster<Tuple>::cast(std::get<Is>(src), policy, parent))...
+ }};
+ for (const auto &entry: entries)
+ if (!entry)
+ return handle();
+ tuple result(size);
+ int counter = 0;
+ for (auto & entry: entries)
+ PyTuple_SET_ITEM(result.ptr(), counter++, entry.release().ptr());
+ return result.release();
+ }
+
+protected:
+ std::tuple<make_caster<Tuple>...> value;
+};
+
+/// Type caster for holder types like std::shared_ptr, etc.
+template <typename type, typename holder_type> class type_caster_holder : public type_caster_base<type> {
+public:
+ using base = type_caster_base<type>;
+ using base::base;
+ using base::cast;
+ using base::typeinfo;
+ using base::value;
+ using base::temp;
+
+ PYBIND11_NOINLINE bool load(handle src, bool convert) {
+ return load(src, convert, Py_TYPE(src.ptr()));
+ }
+
+ bool load(handle src, bool convert, PyTypeObject *tobj) {
+ if (!src || !typeinfo)
+ return false;
+ if (src.is_none()) {
+ value = nullptr;
+ return true;
+ }
+
+ if (typeinfo->simple_type) { /* Case 1: no multiple inheritance etc. involved */
+ /* Check if we can safely perform a reinterpret-style cast */
+ if (PyType_IsSubtype(tobj, typeinfo->type))
+ return load_value_and_holder(src);
+ } else { /* Case 2: multiple inheritance */
+ /* Check if we can safely perform a reinterpret-style cast */
+ if (tobj == typeinfo->type)
+ return load_value_and_holder(src);
+
+ /* If this is a python class, also check the parents recursively */
+ auto const &type_dict = get_internals().registered_types_py;
+ bool new_style_class = PyType_Check(tobj);
+ if (type_dict.find(tobj) == type_dict.end() && new_style_class && tobj->tp_bases) {
+ auto parents = reinterpret_borrow<tuple>(tobj->tp_bases);
+ for (handle parent : parents) {
+ bool result = load(src, convert, (PyTypeObject *) parent.ptr());
+ if (result)
+ return true;
+ }
+ }
+
+ if (try_implicit_casts(src, convert))
+ return true;
+ }
+
+ if (convert) {
+ for (auto &converter : typeinfo->implicit_conversions) {
+ temp = reinterpret_steal<object>(converter(src.ptr(), typeinfo->type));
+ if (load(temp, false))
+ return true;
+ }
+ }
+
+ return false;
+ }
+
+ bool load_value_and_holder(handle src) {
+ auto inst = (instance<type, holder_type> *) src.ptr();
+ value = (void *) inst->value;
+ if (inst->holder_constructed) {
+ holder = inst->holder;
+ return true;
+ } else {
+ throw cast_error("Unable to cast from non-held to held instance (T& to Holder<T>) "
+#if defined(NDEBUG)
+ "(compile in debug mode for type information)");
+#else
+ "of type '" + type_id<holder_type>() + "''");
+#endif
+ }
+ }
+
+ template <typename T = holder_type, detail::enable_if_t<!std::is_constructible<T, const T &, type*>::value, int> = 0>
+ bool try_implicit_casts(handle, bool) { return false; }
+
+ template <typename T = holder_type, detail::enable_if_t<std::is_constructible<T, const T &, type*>::value, int> = 0>
+ bool try_implicit_casts(handle src, bool convert) {
+ for (auto &cast : typeinfo->implicit_casts) {
+ type_caster_holder sub_caster(*cast.first);
+ if (sub_caster.load(src, convert)) {
+ value = cast.second(sub_caster.value);
+ holder = holder_type(sub_caster.holder, (type *) value);
+ return true;
+ }
+ }
+ return false;
+ }
+
+ explicit operator type*() { return this->value; }
+ explicit operator type&() { return *(this->value); }
+ explicit operator holder_type*() { return &holder; }
+
+ // Workaround for Intel compiler bug
+ // see pybind11 issue 94
+ #if defined(__ICC) || defined(__INTEL_COMPILER)
+ operator holder_type&() { return holder; }
+ #else
+ explicit operator holder_type&() { return holder; }
+ #endif
+
+ static handle cast(const holder_type &src, return_value_policy, handle) {
+ return type_caster_generic::cast(
+ src.get(), return_value_policy::take_ownership, handle(),
+ src.get() ? &typeid(*src.get()) : nullptr, &typeid(type),
+ nullptr, nullptr, &src);
+ }
+
+protected:
+ holder_type holder;
+};
+
+/// Specialize for the common std::shared_ptr, so users don't need to
+template <typename T>
+class type_caster<std::shared_ptr<T>> : public type_caster_holder<T, std::shared_ptr<T>> { };
+
+/// Create a specialization for custom holder types (silently ignores std::shared_ptr)
+#define PYBIND11_DECLARE_HOLDER_TYPE(type, holder_type) \
+ namespace pybind11 { namespace detail { \
+ template <typename type> \
+ class type_caster<holder_type, enable_if_t<!is_shared_ptr<holder_type>::value>> \
+ : public type_caster_holder<type, holder_type> { }; \
+ }}
+
+// PYBIND11_DECLARE_HOLDER_TYPE holder types:
+template <typename base, typename holder> struct is_holder_type :
+ std::is_base_of<detail::type_caster_holder<base, holder>, detail::type_caster<holder>> {};
+// Specialization for always-supported unique_ptr holders:
+template <typename base, typename deleter> struct is_holder_type<base, std::unique_ptr<base, deleter>> :
+ std::true_type {};
+
+template <typename T> struct handle_type_name { static PYBIND11_DESCR name() { return _<T>(); } };
+template <> struct handle_type_name<bytes> { static PYBIND11_DESCR name() { return _(PYBIND11_BYTES_NAME); } };
+template <> struct handle_type_name<args> { static PYBIND11_DESCR name() { return _("*args"); } };
+template <> struct handle_type_name<kwargs> { static PYBIND11_DESCR name() { return _("**kwargs"); } };
+
+template <typename type>
+struct pyobject_caster {
+ template <typename T = type, enable_if_t<std::is_same<T, handle>::value, int> = 0>
+ bool load(handle src, bool /* convert */) { value = src; return static_cast<bool>(value); }
+
+ template <typename T = type, enable_if_t<std::is_base_of<object, T>::value, int> = 0>
+ bool load(handle src, bool /* convert */) {
+ if (!isinstance<type>(src))
+ return false;
+ value = reinterpret_borrow<type>(src);
+ return true;
+ }
+
+ static handle cast(const handle &src, return_value_policy /* policy */, handle /* parent */) {
+ return src.inc_ref();
+ }
+ PYBIND11_TYPE_CASTER(type, handle_type_name<type>::name());
+};
+
+template <typename T>
+class type_caster<T, enable_if_t<is_pyobject<T>::value>> : public pyobject_caster<T> { };
+
+// Our conditions for enabling moving are quite restrictive:
+// At compile time:
+// - T needs to be a non-const, non-pointer, non-reference type
+// - type_caster<T>::operator T&() must exist
+// - the type must be move constructible (obviously)
+// At run-time:
+// - if the type is non-copy-constructible, the object must be the sole owner of the type (i.e. it
+// must have ref_count() == 1)h
+// If any of the above are not satisfied, we fall back to copying.
+template <typename T, typename SFINAE = void> struct move_is_plain_type : std::false_type {};
+template <typename T> struct move_is_plain_type<T, enable_if_t<
+ !std::is_void<T>::value && !std::is_pointer<T>::value && !std::is_reference<T>::value && !std::is_const<T>::value
+ >> : std::true_type { };
+template <typename T, typename SFINAE = void> struct move_always : std::false_type {};
+template <typename T> struct move_always<T, enable_if_t<
+ move_is_plain_type<T>::value &&
+ !std::is_copy_constructible<T>::value && std::is_move_constructible<T>::value &&
+ std::is_same<decltype(std::declval<type_caster<T>>().operator T&()), T&>::value
+ >> : std::true_type { };
+template <typename T, typename SFINAE = void> struct move_if_unreferenced : std::false_type {};
+template <typename T> struct move_if_unreferenced<T, enable_if_t<
+ move_is_plain_type<T>::value &&
+ !move_always<T>::value && std::is_move_constructible<T>::value &&
+ std::is_same<decltype(std::declval<type_caster<T>>().operator T&()), T&>::value
+ >> : std::true_type { };
+template <typename T> using move_never = std::integral_constant<bool, !move_always<T>::value && !move_if_unreferenced<T>::value>;
+
+// Detect whether returning a `type` from a cast on type's type_caster is going to result in a
+// reference or pointer to a local variable of the type_caster. Basically, only
+// non-reference/pointer `type`s and reference/pointers from a type_caster_generic are safe;
+// everything else returns a reference/pointer to a local variable.
+template <typename type> using cast_is_temporary_value_reference = bool_constant<
+ (std::is_reference<type>::value || std::is_pointer<type>::value) &&
+ !std::is_base_of<type_caster_generic, make_caster<type>>::value
+>;
+
+// Basic python -> C++ casting; throws if casting fails
+template <typename T, typename SFINAE> type_caster<T, SFINAE> &load_type(type_caster<T, SFINAE> &conv, const handle &handle) {
+ if (!conv.load(handle, true)) {
+#if defined(NDEBUG)
+ throw cast_error("Unable to cast Python instance to C++ type (compile in debug mode for details)");
+#else
+ throw cast_error("Unable to cast Python instance of type " +
+ (std::string) str(handle.get_type()) + " to C++ type '" + type_id<T>() + "''");
+#endif
+ }
+ return conv;
+}
+// Wrapper around the above that also constructs and returns a type_caster
+template <typename T> make_caster<T> load_type(const handle &handle) {
+ make_caster<T> conv;
+ load_type(conv, handle);
+ return conv;
+}
+
+NAMESPACE_END(detail)
+
+// pytype -> C++ type
+template <typename T, detail::enable_if_t<!detail::is_pyobject<T>::value, int> = 0>
+T cast(const handle &handle) {
+ using namespace detail;
+ static_assert(!cast_is_temporary_value_reference<T>::value,
+ "Unable to cast type to reference: value is local to type caster");
+ return cast_op<T>(load_type<T>(handle));
+}
+
+// pytype -> pytype (calls converting constructor)
+template <typename T, detail::enable_if_t<detail::is_pyobject<T>::value, int> = 0>
+T cast(const handle &handle) { return T(reinterpret_borrow<object>(handle)); }
+
+// C++ type -> py::object
+template <typename T, detail::enable_if_t<!detail::is_pyobject<T>::value, int> = 0>
+object cast(const T &value, return_value_policy policy = return_value_policy::automatic_reference,
+ handle parent = handle()) {
+ if (policy == return_value_policy::automatic)
+ policy = std::is_pointer<T>::value ? return_value_policy::take_ownership : return_value_policy::copy;
+ else if (policy == return_value_policy::automatic_reference)
+ policy = std::is_pointer<T>::value ? return_value_policy::reference : return_value_policy::copy;
+ return reinterpret_steal<object>(detail::make_caster<T>::cast(value, policy, parent));
+}
+
+template <typename T> T handle::cast() const { return pybind11::cast<T>(*this); }
+template <> inline void handle::cast() const { return; }
+
+template <typename T>
+detail::enable_if_t<detail::move_always<T>::value || detail::move_if_unreferenced<T>::value, T> move(object &&obj) {
+ if (obj.ref_count() > 1)
+#if defined(NDEBUG)
+ throw cast_error("Unable to cast Python instance to C++ rvalue: instance has multiple references"
+ " (compile in debug mode for details)");
+#else
+ throw cast_error("Unable to move from Python " + (std::string) str(obj.get_type()) +
+ " instance to C++ " + type_id<T>() + " instance: instance has multiple references");
+#endif
+
+ // Move into a temporary and return that, because the reference may be a local value of `conv`
+ T ret = std::move(detail::load_type<T>(obj).operator T&());
+ return ret;
+}
+
+// Calling cast() on an rvalue calls pybind::cast with the object rvalue, which does:
+// - If we have to move (because T has no copy constructor), do it. This will fail if the moved
+// object has multiple references, but trying to copy will fail to compile.
+// - If both movable and copyable, check ref count: if 1, move; otherwise copy
+// - Otherwise (not movable), copy.
+template <typename T> detail::enable_if_t<detail::move_always<T>::value, T> cast(object &&object) {
+ return move<T>(std::move(object));
+}
+template <typename T> detail::enable_if_t<detail::move_if_unreferenced<T>::value, T> cast(object &&object) {
+ if (object.ref_count() > 1)
+ return cast<T>(object);
+ else
+ return move<T>(std::move(object));
+}
+template <typename T> detail::enable_if_t<detail::move_never<T>::value, T> cast(object &&object) {
+ return cast<T>(object);
+}
+
+template <typename T> T object::cast() const & { return pybind11::cast<T>(*this); }
+template <typename T> T object::cast() && { return pybind11::cast<T>(std::move(*this)); }
+template <> inline void object::cast() const & { return; }
+template <> inline void object::cast() && { return; }
+
+NAMESPACE_BEGIN(detail)
+
+// Declared in pytypes.h:
+template <typename T, enable_if_t<!is_pyobject<T>::value, int>>
+object object_or_cast(T &&o) { return pybind11::cast(std::forward<T>(o)); }
+
+struct overload_unused {}; // Placeholder type for the unneeded (and dead code) static variable in the OVERLOAD_INT macro
+template <typename ret_type> using overload_caster_t = conditional_t<
+ cast_is_temporary_value_reference<ret_type>::value, make_caster<ret_type>, overload_unused>;
+
+// Trampoline use: for reference/pointer types to value-converted values, we do a value cast, then
+// store the result in the given variable. For other types, this is a no-op.
+template <typename T> enable_if_t<cast_is_temporary_value_reference<T>::value, T> cast_ref(object &&o, make_caster<T> &caster) {
+ return cast_op<T>(load_type(caster, o));
+}
+template <typename T> enable_if_t<!cast_is_temporary_value_reference<T>::value, T> cast_ref(object &&, overload_unused &) {
+ pybind11_fail("Internal error: cast_ref fallback invoked"); }
+
+// Trampoline use: Having a pybind11::cast with an invalid reference type is going to static_assert, even
+// though if it's in dead code, so we provide a "trampoline" to pybind11::cast that only does anything in
+// cases where pybind11::cast is valid.
+template <typename T> enable_if_t<!cast_is_temporary_value_reference<T>::value, T> cast_safe(object &&o) {
+ return pybind11::cast<T>(std::move(o)); }
+template <typename T> enable_if_t<cast_is_temporary_value_reference<T>::value, T> cast_safe(object &&) {
+ pybind11_fail("Internal error: cast_safe fallback invoked"); }
+template <> inline void cast_safe<void>(object &&) {}
+
+NAMESPACE_END(detail)
+
+template <return_value_policy policy = return_value_policy::automatic_reference,
+ typename... Args> tuple make_tuple(Args&&... args_) {
+ const size_t size = sizeof...(Args);
+ std::array<object, size> args {
+ { reinterpret_steal<object>(detail::make_caster<Args>::cast(
+ std::forward<Args>(args_), policy, nullptr))... }
+ };
+ for (auto &arg_value : args) {
+ if (!arg_value) {
+#if defined(NDEBUG)
+ throw cast_error("make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)");
+#else
+ throw cast_error("make_tuple(): unable to convert arguments of types '" +
+ (std::string) type_id<std::tuple<Args...>>() + "' to Python object");
+#endif
+ }
+ }
+ tuple result(size);
+ int counter = 0;
+ for (auto &arg_value : args)
+ PyTuple_SET_ITEM(result.ptr(), counter++, arg_value.release().ptr());
+ return result;
+}
+
+/// Annotation for keyword arguments
+struct arg {
+ constexpr explicit arg(const char *name) : name(name) { }
+ template <typename T> arg_v operator=(T &&value) const;
+
+ const char *name;
+};
+
+/// Annotation for keyword arguments with values
+struct arg_v : arg {
+ template <typename T>
+ arg_v(const char *name, T &&x, const char *descr = nullptr)
+ : arg(name),
+ value(reinterpret_steal<object>(
+ detail::make_caster<T>::cast(x, return_value_policy::automatic, {})
+ )),
+ descr(descr)
+#if !defined(NDEBUG)
+ , type(type_id<T>())
+#endif
+ { }
+
+ object value;
+ const char *descr;
+#if !defined(NDEBUG)
+ std::string type;
+#endif
+};
+
+template <typename T>
+arg_v arg::operator=(T &&value) const { return {name, std::forward<T>(value)}; }
+
+/// Alias for backward compatibility -- to be removed in version 2.0
+template <typename /*unused*/> using arg_t = arg_v;
+
+inline namespace literals {
+/// String literal version of arg
+constexpr arg operator"" _a(const char *name, size_t) { return arg(name); }
+}
+
+NAMESPACE_BEGIN(detail)
+
+/// Helper class which loads arguments for C++ functions called from Python
+template <typename... Args>
+class argument_loader {
+ using itypes = type_list<intrinsic_t<Args>...>;
+ using indices = make_index_sequence<sizeof...(Args)>;
+
+public:
+ static constexpr auto has_kwargs = std::is_same<itypes, type_list<args, kwargs>>::value;
+ static constexpr auto has_args = has_kwargs || std::is_same<itypes, type_list<args>>::value;
+
+ static PYBIND11_DESCR arg_names() { return detail::concat(make_caster<Args>::name()...); }
+
+ bool load_args(handle args, handle kwargs, bool convert) {
+ return load_impl(args, kwargs, convert, itypes{});
+ }
+
+ template <typename Return, typename Func>
+ enable_if_t<!std::is_void<Return>::value, Return> call(Func &&f) {
+ return call_impl<Return>(std::forward<Func>(f), indices{});
+ }
+
+ template <typename Return, typename Func>
+ enable_if_t<std::is_void<Return>::value, void_type> call(Func &&f) {
+ call_impl<Return>(std::forward<Func>(f), indices{});
+ return void_type();
+ }
+
+private:
+ bool load_impl(handle args_, handle, bool convert, type_list<args>) {
+ std::get<0>(value).load(args_, convert);
+ return true;
+ }
+
+ bool load_impl(handle args_, handle kwargs_, bool convert, type_list<args, kwargs>) {
+ std::get<0>(value).load(args_, convert);
+ std::get<1>(value).load(kwargs_, convert);
+ return true;
+ }
+
+ bool load_impl(handle args, handle, bool convert, ... /* anything else */) {
+ return load_impl_sequence(args, convert, indices{});
+ }
+
+ static constexpr bool load_impl_sequence(handle, bool, index_sequence<>) { return true; }
+
+ template <size_t... Is>
+ bool load_impl_sequence(handle src, bool convert, index_sequence<Is...>) {
+ for (bool r : {std::get<Is>(value).load(PyTuple_GET_ITEM(src.ptr(), Is), convert)...})
+ if (!r)
+ return false;
+ return true;
+ }
+
+ template <typename Return, typename Func, size_t... Is>
+ Return call_impl(Func &&f, index_sequence<Is...>) {
+ return std::forward<Func>(f)(cast_op<Args>(std::get<Is>(value))...);
+ }
+
+private:
+ std::tuple<make_caster<Args>...> value;
+};
+
+NAMESPACE_BEGIN(constexpr_impl)
+/// Implementation details for constexpr functions
+constexpr int first(int i) { return i; }
+template <typename T, typename... Ts>
+constexpr int first(int i, T v, Ts... vs) { return v ? i : first(i + 1, vs...); }
+
+constexpr int last(int /*i*/, int result) { return result; }
+template <typename T, typename... Ts>
+constexpr int last(int i, int result, T v, Ts... vs) { return last(i + 1, v ? i : result, vs...); }
+NAMESPACE_END(constexpr_impl)
+
+/// Return the index of the first type in Ts which satisfies Predicate<T>
+template <template<typename> class Predicate, typename... Ts>
+constexpr int constexpr_first() { return constexpr_impl::first(0, Predicate<Ts>::value...); }
+
+/// Return the index of the last type in Ts which satisfies Predicate<T>
+template <template<typename> class Predicate, typename... Ts>
+constexpr int constexpr_last() { return constexpr_impl::last(0, -1, Predicate<Ts>::value...); }
+
+/// Helper class which collects only positional arguments for a Python function call.
+/// A fancier version below can collect any argument, but this one is optimal for simple calls.
+template <return_value_policy policy>
+class simple_collector {
+public:
+ template <typename... Ts>
+ explicit simple_collector(Ts &&...values)
+ : m_args(pybind11::make_tuple<policy>(std::forward<Ts>(values)...)) { }
+
+ const tuple &args() const & { return m_args; }
+ dict kwargs() const { return {}; }
+
+ tuple args() && { return std::move(m_args); }
+
+ /// Call a Python function and pass the collected arguments
+ object call(PyObject *ptr) const {
+ PyObject *result = PyObject_CallObject(ptr, m_args.ptr());
+ if (!result)
+ throw error_already_set();
+ return reinterpret_steal<object>(result);
+ }
+
+private:
+ tuple m_args;
+};
+
+/// Helper class which collects positional, keyword, * and ** arguments for a Python function call
+template <return_value_policy policy>
+class unpacking_collector {
+public:
+ template <typename... Ts>
+ explicit unpacking_collector(Ts &&...values) {
+ // Tuples aren't (easily) resizable so a list is needed for collection,
+ // but the actual function call strictly requires a tuple.
+ auto args_list = list();
+ int _[] = { 0, (process(args_list, std::forward<Ts>(values)), 0)... };
+ ignore_unused(_);
+
+ m_args = std::move(args_list);
+ }
+
+ const tuple &args() const & { return m_args; }
+ const dict &kwargs() const & { return m_kwargs; }
+
+ tuple args() && { return std::move(m_args); }
+ dict kwargs() && { return std::move(m_kwargs); }
+
+ /// Call a Python function and pass the collected arguments
+ object call(PyObject *ptr) const {
+ PyObject *result = PyObject_Call(ptr, m_args.ptr(), m_kwargs.ptr());
+ if (!result)
+ throw error_already_set();
+ return reinterpret_steal<object>(result);
+ }
+
+private:
+ template <typename T>
+ void process(list &args_list, T &&x) {
+ auto o = reinterpret_steal<object>(detail::make_caster<T>::cast(std::forward<T>(x), policy, {}));
+ if (!o) {
+#if defined(NDEBUG)
+ argument_cast_error();
+#else
+ argument_cast_error(std::to_string(args_list.size()), type_id<T>());
+#endif
+ }
+ args_list.append(o);
+ }
+
+ void process(list &args_list, detail::args_proxy ap) {
+ for (const auto &a : ap)
+ args_list.append(a);
+ }
+
+ void process(list &/*args_list*/, arg_v a) {
+ if (m_kwargs.contains(a.name)) {
+#if defined(NDEBUG)
+ multiple_values_error();
+#else
+ multiple_values_error(a.name);
+#endif
+ }
+ if (!a.value) {
+#if defined(NDEBUG)
+ argument_cast_error();
+#else
+ argument_cast_error(a.name, a.type);
+#endif
+ }
+ m_kwargs[a.name] = a.value;
+ }
+
+ void process(list &/*args_list*/, detail::kwargs_proxy kp) {
+ if (!kp)
+ return;
+ for (const auto &k : reinterpret_borrow<dict>(kp)) {
+ if (m_kwargs.contains(k.first)) {
+#if defined(NDEBUG)
+ multiple_values_error();
+#else
+ multiple_values_error(str(k.first));
+#endif
+ }
+ m_kwargs[k.first] = k.second;
+ }
+ }
+
+ [[noreturn]] static void multiple_values_error() {
+ throw type_error("Got multiple values for keyword argument "
+ "(compile in debug mode for details)");
+ }
+
+ [[noreturn]] static void multiple_values_error(std::string name) {
+ throw type_error("Got multiple values for keyword argument '" + name + "'");
+ }
+
+ [[noreturn]] static void argument_cast_error() {
+ throw cast_error("Unable to convert call argument to Python object "
+ "(compile in debug mode for details)");
+ }
+
+ [[noreturn]] static void argument_cast_error(std::string name, std::string type) {
+ throw cast_error("Unable to convert call argument '" + name
+ + "' of type '" + type + "' to Python object");
+ }
+
+private:
+ tuple m_args;
+ dict m_kwargs;
+};
+
+/// Collect only positional arguments for a Python function call
+template <return_value_policy policy, typename... Args,
+ typename = enable_if_t<all_of_t<is_positional, Args...>::value>>
+simple_collector<policy> collect_arguments(Args &&...args) {
+ return simple_collector<policy>(std::forward<Args>(args)...);
+}
+
+/// Collect all arguments, including keywords and unpacking (only instantiated when needed)
+template <return_value_policy policy, typename... Args,
+ typename = enable_if_t<!all_of_t<is_positional, Args...>::value>>
+unpacking_collector<policy> collect_arguments(Args &&...args) {
+ // Following argument order rules for generalized unpacking according to PEP 448
+ static_assert(
+ constexpr_last<is_positional, Args...>() < constexpr_first<is_keyword_or_ds, Args...>()
+ && constexpr_last<is_s_unpacking, Args...>() < constexpr_first<is_ds_unpacking, Args...>(),
+ "Invalid function call: positional args must precede keywords and ** unpacking; "
+ "* unpacking must precede ** unpacking"
+ );
+ return unpacking_collector<policy>(std::forward<Args>(args)...);
+}
+
+template <typename Derived>
+template <return_value_policy policy, typename... Args>
+object object_api<Derived>::operator()(Args &&...args) const {
+ return detail::collect_arguments<policy>(std::forward<Args>(args)...).call(derived().ptr());
+}
+
+template <typename Derived>
+template <return_value_policy policy, typename... Args>
+object object_api<Derived>::call(Args &&...args) const {
+ return operator()<policy>(std::forward<Args>(args)...);
+}
+
+NAMESPACE_END(detail)
+
+#define PYBIND11_MAKE_OPAQUE(Type) \
+ namespace pybind11 { namespace detail { \
+ template<> class type_caster<Type> : public type_caster_base<Type> { }; \
+ }}
+
+NAMESPACE_END(pybind11)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ pybind11/numpy.h: Basic NumPy support, vectorize() wrapper
+
+ 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.h"
+#include <numeric>
+#include <algorithm>
+#include <array>
+#include <cstdlib>
+#include <cstring>
+#include <sstream>
+#include <string>
+#include <initializer_list>
+#include <functional>
+#include <utility>
+#include <typeindex>
+
+#if defined(_MSC_VER)
+# pragma warning(push)
+# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
+#endif
+
+/* This will be true on all flat address space platforms and allows us to reduce the
+ whole npy_intp / size_t / Py_intptr_t business down to just size_t for all size
+ and dimension types (e.g. shape, strides, indexing), instead of inflicting this
+ upon the library user. */
+static_assert(sizeof(size_t) == sizeof(Py_intptr_t), "size_t != Py_intptr_t");
+
+NAMESPACE_BEGIN(pybind11)
+NAMESPACE_BEGIN(detail)
+template <typename type, typename SFINAE = void> struct npy_format_descriptor { };
+template <typename type> struct is_pod_struct;
+
+struct PyArrayDescr_Proxy {
+ PyObject_HEAD
+ PyObject *typeobj;
+ char kind;
+ char type;
+ char byteorder;
+ char flags;
+ int type_num;
+ int elsize;
+ int alignment;
+ char *subarray;
+ PyObject *fields;
+ PyObject *names;
+};
+
+struct PyArray_Proxy {
+ PyObject_HEAD
+ char *data;
+ int nd;
+ ssize_t *dimensions;
+ ssize_t *strides;
+ PyObject *base;
+ PyObject *descr;
+ int flags;
+};
+
+struct PyVoidScalarObject_Proxy {
+ PyObject_VAR_HEAD
+ char *obval;
+ PyArrayDescr_Proxy *descr;
+ int flags;
+ PyObject *base;
+};
+
+struct numpy_type_info {
+ PyObject* dtype_ptr;
+ std::string format_str;
+};
+
+struct numpy_internals {
+ std::unordered_map<std::type_index, numpy_type_info> registered_dtypes;
+
+ numpy_type_info *get_type_info(const std::type_info& tinfo, bool throw_if_missing = true) {
+ auto it = registered_dtypes.find(std::type_index(tinfo));
+ if (it != registered_dtypes.end())
+ return &(it->second);
+ if (throw_if_missing)
+ pybind11_fail(std::string("NumPy type info missing for ") + tinfo.name());
+ return nullptr;
+ }
+
+ template<typename T> numpy_type_info *get_type_info(bool throw_if_missing = true) {
+ return get_type_info(typeid(typename std::remove_cv<T>::type), throw_if_missing);
+ }
+};
+
+inline PYBIND11_NOINLINE void load_numpy_internals(numpy_internals* &ptr) {
+ ptr = &get_or_create_shared_data<numpy_internals>("_numpy_internals");
+}
+
+inline numpy_internals& get_numpy_internals() {
+ static numpy_internals* ptr = nullptr;
+ if (!ptr)
+ load_numpy_internals(ptr);
+ return *ptr;
+}
+
+struct npy_api {
+ enum constants {
+ NPY_C_CONTIGUOUS_ = 0x0001,
+ NPY_F_CONTIGUOUS_ = 0x0002,
+ NPY_ARRAY_OWNDATA_ = 0x0004,
+ NPY_ARRAY_FORCECAST_ = 0x0010,
+ NPY_ENSURE_ARRAY_ = 0x0040,
+ NPY_ARRAY_ALIGNED_ = 0x0100,
+ NPY_ARRAY_WRITEABLE_ = 0x0400,
+ NPY_BOOL_ = 0,
+ NPY_BYTE_, NPY_UBYTE_,
+ NPY_SHORT_, NPY_USHORT_,
+ NPY_INT_, NPY_UINT_,
+ NPY_LONG_, NPY_ULONG_,
+ NPY_LONGLONG_, NPY_ULONGLONG_,
+ NPY_FLOAT_, NPY_DOUBLE_, NPY_LONGDOUBLE_,
+ NPY_CFLOAT_, NPY_CDOUBLE_, NPY_CLONGDOUBLE_,
+ NPY_OBJECT_ = 17,
+ NPY_STRING_, NPY_UNICODE_, NPY_VOID_
+ };
+
+ static npy_api& get() {
+ static npy_api api = lookup();
+ return api;
+ }
+
+ bool PyArray_Check_(PyObject *obj) const {
+ return (bool) PyObject_TypeCheck(obj, PyArray_Type_);
+ }
+ bool PyArrayDescr_Check_(PyObject *obj) const {
+ return (bool) PyObject_TypeCheck(obj, PyArrayDescr_Type_);
+ }
+
+ PyObject *(*PyArray_DescrFromType_)(int);
+ PyObject *(*PyArray_NewFromDescr_)
+ (PyTypeObject *, PyObject *, int, Py_intptr_t *,
+ Py_intptr_t *, void *, int, PyObject *);
+ PyObject *(*PyArray_DescrNewFromType_)(int);
+ PyObject *(*PyArray_NewCopy_)(PyObject *, int);
+ PyTypeObject *PyArray_Type_;
+ PyTypeObject *PyVoidArrType_Type_;
+ PyTypeObject *PyArrayDescr_Type_;
+ PyObject *(*PyArray_DescrFromScalar_)(PyObject *);
+ PyObject *(*PyArray_FromAny_) (PyObject *, PyObject *, int, int, int, PyObject *);
+ int (*PyArray_DescrConverter_) (PyObject *, PyObject **);
+ bool (*PyArray_EquivTypes_) (PyObject *, PyObject *);
+ int (*PyArray_GetArrayParamsFromObject_)(PyObject *, PyObject *, char, PyObject **, int *,
+ Py_ssize_t *, PyObject **, PyObject *);
+ PyObject *(*PyArray_Squeeze_)(PyObject *);
+private:
+ enum functions {
+ API_PyArray_Type = 2,
+ API_PyArrayDescr_Type = 3,
+ API_PyVoidArrType_Type = 39,
+ API_PyArray_DescrFromType = 45,
+ API_PyArray_DescrFromScalar = 57,
+ API_PyArray_FromAny = 69,
+ API_PyArray_NewCopy = 85,
+ API_PyArray_NewFromDescr = 94,
+ API_PyArray_DescrNewFromType = 9,
+ API_PyArray_DescrConverter = 174,
+ API_PyArray_EquivTypes = 182,
+ API_PyArray_GetArrayParamsFromObject = 278,
+ API_PyArray_Squeeze = 136
+ };
+
+ static npy_api lookup() {
+ module m = module::import("numpy.core.multiarray");
+ auto c = m.attr("_ARRAY_API");
+#if PY_MAJOR_VERSION >= 3
+ void **api_ptr = (void **) PyCapsule_GetPointer(c.ptr(), NULL);
+#else
+ void **api_ptr = (void **) PyCObject_AsVoidPtr(c.ptr());
+#endif
+ npy_api api;
+#define DECL_NPY_API(Func) api.Func##_ = (decltype(api.Func##_)) api_ptr[API_##Func];
+ DECL_NPY_API(PyArray_Type);
+ DECL_NPY_API(PyVoidArrType_Type);
+ DECL_NPY_API(PyArrayDescr_Type);
+ DECL_NPY_API(PyArray_DescrFromType);
+ DECL_NPY_API(PyArray_DescrFromScalar);
+ DECL_NPY_API(PyArray_FromAny);
+ DECL_NPY_API(PyArray_NewCopy);
+ DECL_NPY_API(PyArray_NewFromDescr);
+ DECL_NPY_API(PyArray_DescrNewFromType);
+ DECL_NPY_API(PyArray_DescrConverter);
+ DECL_NPY_API(PyArray_EquivTypes);
+ DECL_NPY_API(PyArray_GetArrayParamsFromObject);
+ DECL_NPY_API(PyArray_Squeeze);
+#undef DECL_NPY_API
+ return api;
+ }
+};
+
+inline PyArray_Proxy* array_proxy(void* ptr) {
+ return reinterpret_cast<PyArray_Proxy*>(ptr);
+}
+
+inline const PyArray_Proxy* array_proxy(const void* ptr) {
+ return reinterpret_cast<const PyArray_Proxy*>(ptr);
+}
+
+inline PyArrayDescr_Proxy* array_descriptor_proxy(PyObject* ptr) {
+ return reinterpret_cast<PyArrayDescr_Proxy*>(ptr);
+}
+
+inline const PyArrayDescr_Proxy* array_descriptor_proxy(const PyObject* ptr) {
+ return reinterpret_cast<const PyArrayDescr_Proxy*>(ptr);
+}
+
+inline bool check_flags(const void* ptr, int flag) {
+ return (flag == (array_proxy(ptr)->flags & flag));
+}
+
+NAMESPACE_END(detail)
+
+class dtype : public object {
+public:
+ PYBIND11_OBJECT_DEFAULT(dtype, object, detail::npy_api::get().PyArrayDescr_Check_);
+
+ explicit dtype(const buffer_info &info) {
+ dtype descr(_dtype_from_pep3118()(PYBIND11_STR_TYPE(info.format)));
+ // If info.itemsize == 0, use the value calculated from the format string
+ m_ptr = descr.strip_padding(info.itemsize ? info.itemsize : descr.itemsize()).release().ptr();
+ }
+
+ explicit dtype(const std::string &format) {
+ m_ptr = from_args(pybind11::str(format)).release().ptr();
+ }
+
+ dtype(const char *format) : dtype(std::string(format)) { }
+
+ dtype(list names, list formats, list offsets, size_t itemsize) {
+ dict args;
+ args["names"] = names;
+ args["formats"] = formats;
+ args["offsets"] = offsets;
+ args["itemsize"] = pybind11::int_(itemsize);
+ m_ptr = from_args(args).release().ptr();
+ }
+
+ /// This is essentially the same as calling numpy.dtype(args) in Python.
+ static dtype from_args(object args) {
+ PyObject *ptr = nullptr;
+ if (!detail::npy_api::get().PyArray_DescrConverter_(args.release().ptr(), &ptr) || !ptr)
+ throw error_already_set();
+ return reinterpret_steal<dtype>(ptr);
+ }
+
+ /// Return dtype associated with a C++ type.
+ template <typename T> static dtype of() {
+ return detail::npy_format_descriptor<typename std::remove_cv<T>::type>::dtype();
+ }
+
+ /// Size of the data type in bytes.
+ size_t itemsize() const {
+ return (size_t) detail::array_descriptor_proxy(m_ptr)->elsize;
+ }
+
+ /// Returns true for structured data types.
+ bool has_fields() const {
+ return detail::array_descriptor_proxy(m_ptr)->names != nullptr;
+ }
+
+ /// Single-character type code.
+ char kind() const {
+ return detail::array_descriptor_proxy(m_ptr)->kind;
+ }
+
+private:
+ static object _dtype_from_pep3118() {
+ static PyObject *obj = module::import("numpy.core._internal")
+ .attr("_dtype_from_pep3118").cast<object>().release().ptr();
+ return reinterpret_borrow<object>(obj);
+ }
+
+ dtype strip_padding(size_t itemsize) {
+ // Recursively strip all void fields with empty names that are generated for
+ // padding fields (as of NumPy v1.11).
+ if (!has_fields())
+ return *this;
+
+ struct field_descr { PYBIND11_STR_TYPE name; object format; pybind11::int_ offset; };
+ std::vector<field_descr> field_descriptors;
+
+ for (auto field : attr("fields").attr("items")()) {
+ auto spec = field.cast<tuple>();
+ auto name = spec[0].cast<pybind11::str>();
+ auto format = spec[1].cast<tuple>()[0].cast<dtype>();
+ auto offset = spec[1].cast<tuple>()[1].cast<pybind11::int_>();
+ if (!len(name) && format.kind() == 'V')
+ continue;
+ field_descriptors.push_back({(PYBIND11_STR_TYPE) name, format.strip_padding(format.itemsize()), offset});
+ }
+
+ std::sort(field_descriptors.begin(), field_descriptors.end(),
+ [](const field_descr& a, const field_descr& b) {
+ return a.offset.cast<int>() < b.offset.cast<int>();
+ });
+
+ list names, formats, offsets;
+ for (auto& descr : field_descriptors) {
+ names.append(descr.name);
+ formats.append(descr.format);
+ offsets.append(descr.offset);
+ }
+ return dtype(names, formats, offsets, itemsize);
+ }
+};
+
+class array : public buffer {
+public:
+ PYBIND11_OBJECT_CVT(array, buffer, detail::npy_api::get().PyArray_Check_, raw_array)
+
+ enum {
+ c_style = detail::npy_api::NPY_C_CONTIGUOUS_,
+ f_style = detail::npy_api::NPY_F_CONTIGUOUS_,
+ forcecast = detail::npy_api::NPY_ARRAY_FORCECAST_
+ };
+
+ array() : array(0, static_cast<const double *>(nullptr)) {}
+
+ array(const pybind11::dtype &dt, const std::vector<size_t> &shape,
+ const std::vector<size_t> &strides, const void *ptr = nullptr,
+ handle base = handle()) {
+ auto& api = detail::npy_api::get();
+ auto ndim = shape.size();
+ if (shape.size() != strides.size())
+ pybind11_fail("NumPy: shape ndim doesn't match strides ndim");
+ auto descr = dt;
+
+ int flags = 0;
+ if (base && ptr) {
+ if (isinstance<array>(base))
+ /* Copy flags from base (except baseship bit) */
+ flags = reinterpret_borrow<array>(base).flags() & ~detail::npy_api::NPY_ARRAY_OWNDATA_;
+ else
+ /* Writable by default, easy to downgrade later on if needed */
+ flags = detail::npy_api::NPY_ARRAY_WRITEABLE_;
+ }
+
+ auto tmp = reinterpret_steal<object>(api.PyArray_NewFromDescr_(
+ api.PyArray_Type_, descr.release().ptr(), (int) ndim, (Py_intptr_t *) shape.data(),
+ (Py_intptr_t *) strides.data(), const_cast<void *>(ptr), flags, nullptr));
+ if (!tmp)
+ pybind11_fail("NumPy: unable to create array!");
+ if (ptr) {
+ if (base) {
+ detail::array_proxy(tmp.ptr())->base = base.inc_ref().ptr();
+ } else {
+ tmp = reinterpret_steal<object>(api.PyArray_NewCopy_(tmp.ptr(), -1 /* any order */));
+ }
+ }
+ m_ptr = tmp.release().ptr();
+ }
+
+ array(const pybind11::dtype &dt, const std::vector<size_t> &shape,
+ const void *ptr = nullptr, handle base = handle())
+ : array(dt, shape, default_strides(shape, dt.itemsize()), ptr, base) { }
+
+ array(const pybind11::dtype &dt, size_t count, const void *ptr = nullptr,
+ handle base = handle())
+ : array(dt, std::vector<size_t>{ count }, ptr, base) { }
+
+ template<typename T> array(const std::vector<size_t>& shape,
+ const std::vector<size_t>& strides,
+ const T* ptr, handle base = handle())
+ : array(pybind11::dtype::of<T>(), shape, strides, (void *) ptr, base) { }
+
+ template <typename T>
+ array(const std::vector<size_t> &shape, const T *ptr,
+ handle base = handle())
+ : array(shape, default_strides(shape, sizeof(T)), ptr, base) { }
+
+ template <typename T>
+ array(size_t count, const T *ptr, handle base = handle())
+ : array(std::vector<size_t>{ count }, ptr, base) { }
+
+ explicit array(const buffer_info &info)
+ : array(pybind11::dtype(info), info.shape, info.strides, info.ptr) { }
+
+ /// Array descriptor (dtype)
+ pybind11::dtype dtype() const {
+ return reinterpret_borrow<pybind11::dtype>(detail::array_proxy(m_ptr)->descr);
+ }
+
+ /// Total number of elements
+ size_t size() const {
+ return std::accumulate(shape(), shape() + ndim(), (size_t) 1, std::multiplies<size_t>());
+ }
+
+ /// Byte size of a single element
+ size_t itemsize() const {
+ return (size_t) detail::array_descriptor_proxy(detail::array_proxy(m_ptr)->descr)->elsize;
+ }
+
+ /// Total number of bytes
+ size_t nbytes() const {
+ return size() * itemsize();
+ }
+
+ /// Number of dimensions
+ size_t ndim() const {
+ return (size_t) detail::array_proxy(m_ptr)->nd;
+ }
+
+ /// Base object
+ object base() const {
+ return reinterpret_borrow<object>(detail::array_proxy(m_ptr)->base);
+ }
+
+ /// Dimensions of the array
+ const size_t* shape() const {
+ return reinterpret_cast<const size_t *>(detail::array_proxy(m_ptr)->dimensions);
+ }
+
+ /// Dimension along a given axis
+ size_t shape(size_t dim) const {
+ if (dim >= ndim())
+ fail_dim_check(dim, "invalid axis");
+ return shape()[dim];
+ }
+
+ /// Strides of the array
+ const size_t* strides() const {
+ return reinterpret_cast<const size_t *>(detail::array_proxy(m_ptr)->strides);
+ }
+
+ /// Stride along a given axis
+ size_t strides(size_t dim) const {
+ if (dim >= ndim())
+ fail_dim_check(dim, "invalid axis");
+ return strides()[dim];
+ }
+
+ /// Return the NumPy array flags
+ int flags() const {
+ return detail::array_proxy(m_ptr)->flags;
+ }
+
+ /// If set, the array is writeable (otherwise the buffer is read-only)
+ bool writeable() const {
+ return detail::check_flags(m_ptr, detail::npy_api::NPY_ARRAY_WRITEABLE_);
+ }
+
+ /// If set, the array owns the data (will be freed when the array is deleted)
+ bool owndata() const {
+ return detail::check_flags(m_ptr, detail::npy_api::NPY_ARRAY_OWNDATA_);
+ }
+
+ /// Pointer to the contained data. If index is not provided, points to the
+ /// beginning of the buffer. May throw if the index would lead to out of bounds access.
+ template<typename... Ix> const void* data(Ix... index) const {
+ return static_cast<const void *>(detail::array_proxy(m_ptr)->data + offset_at(index...));
+ }
+
+ /// Mutable pointer to the contained data. If index is not provided, points to the
+ /// beginning of the buffer. May throw if the index would lead to out of bounds access.
+ /// May throw if the array is not writeable.
+ template<typename... Ix> void* mutable_data(Ix... index) {
+ check_writeable();
+ return static_cast<void *>(detail::array_proxy(m_ptr)->data + offset_at(index...));
+ }
+
+ /// Byte offset from beginning of the array to a given index (full or partial).
+ /// May throw if the index would lead to out of bounds access.
+ template<typename... Ix> size_t offset_at(Ix... index) const {
+ if (sizeof...(index) > ndim())
+ fail_dim_check(sizeof...(index), "too many indices for an array");
+ return byte_offset(size_t(index)...);
+ }
+
+ size_t offset_at() const { return 0; }
+
+ /// Item count from beginning of the array to a given index (full or partial).
+ /// May throw if the index would lead to out of bounds access.
+ template<typename... Ix> size_t index_at(Ix... index) const {
+ return offset_at(index...) / itemsize();
+ }
+
+ /// Return a new view with all of the dimensions of length 1 removed
+ array squeeze() {
+ auto& api = detail::npy_api::get();
+ return reinterpret_steal<array>(api.PyArray_Squeeze_(m_ptr));
+ }
+
+ /// Ensure that the argument is a NumPy array
+ /// In case of an error, nullptr is returned and the Python error is cleared.
+ static array ensure(handle h, int ExtraFlags = 0) {
+ auto result = reinterpret_steal<array>(raw_array(h.ptr(), ExtraFlags));
+ if (!result)
+ PyErr_Clear();
+ return result;
+ }
+
+protected:
+ template<typename, typename> friend struct detail::npy_format_descriptor;
+
+ void fail_dim_check(size_t dim, const std::string& msg) const {
+ throw index_error(msg + ": " + std::to_string(dim) +
+ " (ndim = " + std::to_string(ndim()) + ")");
+ }
+
+ template<typename... Ix> size_t byte_offset(Ix... index) const {
+ check_dimensions(index...);
+ return byte_offset_unsafe(index...);
+ }
+
+ template<size_t dim = 0, typename... Ix> size_t byte_offset_unsafe(size_t i, Ix... index) const {
+ return i * strides()[dim] + byte_offset_unsafe<dim + 1>(index...);
+ }
+
+ template<size_t dim = 0> size_t byte_offset_unsafe() const { return 0; }
+
+ void check_writeable() const {
+ if (!writeable())
+ throw std::runtime_error("array is not writeable");
+ }
+
+ static std::vector<size_t> default_strides(const std::vector<size_t>& shape, size_t itemsize) {
+ auto ndim = shape.size();
+ std::vector<size_t> strides(ndim);
+ if (ndim) {
+ std::fill(strides.begin(), strides.end(), itemsize);
+ for (size_t i = 0; i < ndim - 1; i++)
+ for (size_t j = 0; j < ndim - 1 - i; j++)
+ strides[j] *= shape[ndim - 1 - i];
+ }
+ return strides;
+ }
+
+ template<typename... Ix> void check_dimensions(Ix... index) const {
+ check_dimensions_impl(size_t(0), shape(), size_t(index)...);
+ }
+
+ void check_dimensions_impl(size_t, const size_t*) const { }
+
+ template<typename... Ix> void check_dimensions_impl(size_t axis, const size_t* shape, size_t i, Ix... index) const {
+ if (i >= *shape) {
+ throw index_error(std::string("index ") + std::to_string(i) +
+ " is out of bounds for axis " + std::to_string(axis) +
+ " with size " + std::to_string(*shape));
+ }
+ check_dimensions_impl(axis + 1, shape + 1, index...);
+ }
+
+ /// Create array from any object -- always returns a new reference
+ static PyObject *raw_array(PyObject *ptr, int ExtraFlags = 0) {
+ if (ptr == nullptr)
+ return nullptr;
+ return detail::npy_api::get().PyArray_FromAny_(
+ ptr, nullptr, 0, 0, detail::npy_api::NPY_ENSURE_ARRAY_ | ExtraFlags, nullptr);
+ }
+};
+
+template <typename T, int ExtraFlags = array::forcecast> class array_t : public array {
+public:
+ array_t() : array(0, static_cast<const T *>(nullptr)) {}
+ array_t(handle h, borrowed_t) : array(h, borrowed) { }
+ array_t(handle h, stolen_t) : array(h, stolen) { }
+
+ PYBIND11_DEPRECATED("Use array_t<T>::ensure() instead")
+ array_t(handle h, bool is_borrowed) : array(raw_array_t(h.ptr()), stolen) {
+ if (!m_ptr) PyErr_Clear();
+ if (!is_borrowed) Py_XDECREF(h.ptr());
+ }
+
+ array_t(const object &o) : array(raw_array_t(o.ptr()), stolen) {
+ if (!m_ptr) throw error_already_set();
+ }
+
+ explicit array_t(const buffer_info& info) : array(info) { }
+
+ array_t(const std::vector<size_t> &shape,
+ const std::vector<size_t> &strides, const T *ptr = nullptr,
+ handle base = handle())
+ : array(shape, strides, ptr, base) { }
+
+ explicit array_t(const std::vector<size_t> &shape, const T *ptr = nullptr,
+ handle base = handle())
+ : array(shape, ptr, base) { }
+
+ explicit array_t(size_t count, const T *ptr = nullptr, handle base = handle())
+ : array(count, ptr, base) { }
+
+ constexpr size_t itemsize() const {
+ return sizeof(T);
+ }
+
+ template<typename... Ix> size_t index_at(Ix... index) const {
+ return offset_at(index...) / itemsize();
+ }
+
+ template<typename... Ix> const T* data(Ix... index) const {
+ return static_cast<const T*>(array::data(index...));
+ }
+
+ template<typename... Ix> T* mutable_data(Ix... index) {
+ return static_cast<T*>(array::mutable_data(index...));
+ }
+
+ // Reference to element at a given index
+ template<typename... Ix> const T& at(Ix... index) const {
+ if (sizeof...(index) != ndim())
+ fail_dim_check(sizeof...(index), "index dimension mismatch");
+ return *(static_cast<const T*>(array::data()) + byte_offset(size_t(index)...) / itemsize());
+ }
+
+ // Mutable reference to element at a given index
+ template<typename... Ix> T& mutable_at(Ix... index) {
+ if (sizeof...(index) != ndim())
+ fail_dim_check(sizeof...(index), "index dimension mismatch");
+ return *(static_cast<T*>(array::mutable_data()) + byte_offset(size_t(index)...) / itemsize());
+ }
+
+ /// Ensure that the argument is a NumPy array of the correct dtype.
+ /// In case of an error, nullptr is returned and the Python error is cleared.
+ static array_t ensure(handle h) {
+ auto result = reinterpret_steal<array_t>(raw_array_t(h.ptr()));
+ if (!result)
+ PyErr_Clear();
+ return result;
+ }
+
+ static bool _check(handle h) {
+ const auto &api = detail::npy_api::get();
+ return api.PyArray_Check_(h.ptr())
+ && api.PyArray_EquivTypes_(detail::array_proxy(h.ptr())->descr, dtype::of<T>().ptr());
+ }
+
+protected:
+ /// Create array from any object -- always returns a new reference
+ static PyObject *raw_array_t(PyObject *ptr) {
+ if (ptr == nullptr)
+ return nullptr;
+ return detail::npy_api::get().PyArray_FromAny_(
+ ptr, dtype::of<T>().release().ptr(), 0, 0,
+ detail::npy_api::NPY_ENSURE_ARRAY_ | ExtraFlags, nullptr);
+ }
+};
+
+template <typename T>
+struct format_descriptor<T, detail::enable_if_t<detail::is_pod_struct<T>::value>> {
+ static std::string format() {
+ return detail::npy_format_descriptor<typename std::remove_cv<T>::type>::format();
+ }
+};
+
+template <size_t N> struct format_descriptor<char[N]> {
+ static std::string format() { return std::to_string(N) + "s"; }
+};
+template <size_t N> struct format_descriptor<std::array<char, N>> {
+ static std::string format() { return std::to_string(N) + "s"; }
+};
+
+template <typename T>
+struct format_descriptor<T, detail::enable_if_t<std::is_enum<T>::value>> {
+ static std::string format() {
+ return format_descriptor<
+ typename std::remove_cv<typename std::underlying_type<T>::type>::type>::format();
+ }
+};
+
+NAMESPACE_BEGIN(detail)
+template <typename T, int ExtraFlags>
+struct pyobject_caster<array_t<T, ExtraFlags>> {
+ using type = array_t<T, ExtraFlags>;
+
+ bool load(handle src, bool /* convert */) {
+ value = type::ensure(src);
+ return static_cast<bool>(value);
+ }
+
+ static handle cast(const handle &src, return_value_policy /* policy */, handle /* parent */) {
+ return src.inc_ref();
+ }
+ PYBIND11_TYPE_CASTER(type, handle_type_name<type>::name());
+};
+
+template <typename T> struct is_std_array : std::false_type { };
+template <typename T, size_t N> struct is_std_array<std::array<T, N>> : std::true_type { };
+
+template <typename T>
+struct is_pod_struct {
+ enum { value = std::is_pod<T>::value && // offsetof only works correctly for POD types
+ !std::is_reference<T>::value &&
+ !std::is_array<T>::value &&
+ !is_std_array<T>::value &&
+ !std::is_integral<T>::value &&
+ !std::is_enum<T>::value &&
+ !std::is_same<typename std::remove_cv<T>::type, float>::value &&
+ !std::is_same<typename std::remove_cv<T>::type, double>::value &&
+ !std::is_same<typename std::remove_cv<T>::type, bool>::value &&
+ !std::is_same<typename std::remove_cv<T>::type, std::complex<float>>::value &&
+ !std::is_same<typename std::remove_cv<T>::type, std::complex<double>>::value };
+};
+
+template <typename T> struct npy_format_descriptor<T, enable_if_t<std::is_integral<T>::value>> {
+private:
+ constexpr static const int values[8] = {
+ npy_api::NPY_BYTE_, npy_api::NPY_UBYTE_, npy_api::NPY_SHORT_, npy_api::NPY_USHORT_,
+ npy_api::NPY_INT_, npy_api::NPY_UINT_, npy_api::NPY_LONGLONG_, npy_api::NPY_ULONGLONG_ };
+public:
+ enum { value = values[detail::log2(sizeof(T)) * 2 + (std::is_unsigned<T>::value ? 1 : 0)] };
+ static pybind11::dtype dtype() {
+ if (auto ptr = npy_api::get().PyArray_DescrFromType_(value))
+ return reinterpret_borrow<pybind11::dtype>(ptr);
+ pybind11_fail("Unsupported buffer format!");
+ }
+ template <typename T2 = T, enable_if_t<std::is_signed<T2>::value, int> = 0>
+ static PYBIND11_DESCR name() { return _("int") + _<sizeof(T)*8>(); }
+ template <typename T2 = T, enable_if_t<!std::is_signed<T2>::value, int> = 0>
+ static PYBIND11_DESCR name() { return _("uint") + _<sizeof(T)*8>(); }
+};
+template <typename T> constexpr const int npy_format_descriptor<
+ T, enable_if_t<std::is_integral<T>::value>>::values[8];
+
+#define DECL_FMT(Type, NumPyName, Name) template<> struct npy_format_descriptor<Type> { \
+ enum { value = npy_api::NumPyName }; \
+ static pybind11::dtype dtype() { \
+ if (auto ptr = npy_api::get().PyArray_DescrFromType_(value)) \
+ return reinterpret_borrow<pybind11::dtype>(ptr); \
+ pybind11_fail("Unsupported buffer format!"); \
+ } \
+ static PYBIND11_DESCR name() { return _(Name); } }
+DECL_FMT(float, NPY_FLOAT_, "float32");
+DECL_FMT(double, NPY_DOUBLE_, "float64");
+DECL_FMT(bool, NPY_BOOL_, "bool");
+DECL_FMT(std::complex<float>, NPY_CFLOAT_, "complex64");
+DECL_FMT(std::complex<double>, NPY_CDOUBLE_, "complex128");
+#undef DECL_FMT
+
+#define DECL_CHAR_FMT \
+ static PYBIND11_DESCR name() { return _("S") + _<N>(); } \
+ static pybind11::dtype dtype() { return pybind11::dtype(std::string("S") + std::to_string(N)); }
+template <size_t N> struct npy_format_descriptor<char[N]> { DECL_CHAR_FMT };
+template <size_t N> struct npy_format_descriptor<std::array<char, N>> { DECL_CHAR_FMT };
+#undef DECL_CHAR_FMT
+
+template<typename T> struct npy_format_descriptor<T, enable_if_t<std::is_enum<T>::value>> {
+private:
+ using base_descr = npy_format_descriptor<typename std::underlying_type<T>::type>;
+public:
+ static PYBIND11_DESCR name() { return base_descr::name(); }
+ static pybind11::dtype dtype() { return base_descr::dtype(); }
+};
+
+struct field_descriptor {
+ const char *name;
+ size_t offset;
+ size_t size;
+ size_t alignment;
+ std::string format;
+ dtype descr;
+};
+
+inline PYBIND11_NOINLINE void register_structured_dtype(
+ const std::initializer_list<field_descriptor>& fields,
+ const std::type_info& tinfo, size_t itemsize,
+ bool (*direct_converter)(PyObject *, void *&)) {
+
+ auto& numpy_internals = get_numpy_internals();
+ if (numpy_internals.get_type_info(tinfo, false))
+ pybind11_fail("NumPy: dtype is already registered");
+
+ list names, formats, offsets;
+ for (auto field : fields) {
+ if (!field.descr)
+ pybind11_fail(std::string("NumPy: unsupported field dtype: `") +
+ field.name + "` @ " + tinfo.name());
+ names.append(PYBIND11_STR_TYPE(field.name));
+ formats.append(field.descr);
+ offsets.append(pybind11::int_(field.offset));
+ }
+ auto dtype_ptr = pybind11::dtype(names, formats, offsets, itemsize).release().ptr();
+
+ // There is an existing bug in NumPy (as of v1.11): trailing bytes are
+ // not encoded explicitly into the format string. This will supposedly
+ // get fixed in v1.12; for further details, see these:
+ // - https://github.com/numpy/numpy/issues/7797
+ // - https://github.com/numpy/numpy/pull/7798
+ // Because of this, we won't use numpy's logic to generate buffer format
+ // strings and will just do it ourselves.
+ std::vector<field_descriptor> ordered_fields(fields);
+ std::sort(ordered_fields.begin(), ordered_fields.end(),
+ [](const field_descriptor &a, const field_descriptor &b) { return a.offset < b.offset; });
+ size_t offset = 0;
+ std::ostringstream oss;
+ oss << "T{";
+ for (auto& field : ordered_fields) {
+ if (field.offset > offset)
+ oss << (field.offset - offset) << 'x';
+ // mark unaligned fields with '='
+ if (field.offset % field.alignment)
+ oss << '=';
+ oss << field.format << ':' << field.name << ':';
+ offset = field.offset + field.size;
+ }
+ if (itemsize > offset)
+ oss << (itemsize - offset) << 'x';
+ oss << '}';
+ auto format_str = oss.str();
+
+ // Sanity check: verify that NumPy properly parses our buffer format string
+ auto& api = npy_api::get();
+ auto arr = array(buffer_info(nullptr, itemsize, format_str, 1));
+ if (!api.PyArray_EquivTypes_(dtype_ptr, arr.dtype().ptr()))
+ pybind11_fail("NumPy: invalid buffer descriptor!");
+
+ auto tindex = std::type_index(tinfo);
+ numpy_internals.registered_dtypes[tindex] = { dtype_ptr, format_str };
+ get_internals().direct_conversions[tindex].push_back(direct_converter);
+}
+
+template <typename T>
+struct npy_format_descriptor<T, enable_if_t<is_pod_struct<T>::value>> {
+ static PYBIND11_DESCR name() { return _("struct"); }
+
+ static pybind11::dtype dtype() {
+ return reinterpret_borrow<pybind11::dtype>(dtype_ptr());
+ }
+
+ static std::string format() {
+ static auto format_str = get_numpy_internals().get_type_info<T>(true)->format_str;
+ return format_str;
+ }
+
+ static void register_dtype(const std::initializer_list<field_descriptor>& fields) {
+ register_structured_dtype(fields, typeid(typename std::remove_cv<T>::type),
+ sizeof(T), &direct_converter);
+ }
+
+private:
+ static PyObject* dtype_ptr() {
+ static PyObject* ptr = get_numpy_internals().get_type_info<T>(true)->dtype_ptr;
+ return ptr;
+ }
+
+ static bool direct_converter(PyObject *obj, void*& value) {
+ auto& api = npy_api::get();
+ if (!PyObject_TypeCheck(obj, api.PyVoidArrType_Type_))
+ return false;
+ if (auto descr = reinterpret_steal<object>(api.PyArray_DescrFromScalar_(obj))) {
+ if (api.PyArray_EquivTypes_(dtype_ptr(), descr.ptr())) {
+ value = ((PyVoidScalarObject_Proxy *) obj)->obval;
+ return true;
+ }
+ }
+ return false;
+ }
+};
+
+#define PYBIND11_FIELD_DESCRIPTOR_EX(T, Field, Name) \
+ ::pybind11::detail::field_descriptor { \
+ Name, offsetof(T, Field), sizeof(decltype(std::declval<T>().Field)), \
+ alignof(decltype(std::declval<T>().Field)), \
+ ::pybind11::format_descriptor<decltype(std::declval<T>().Field)>::format(), \
+ ::pybind11::detail::npy_format_descriptor<decltype(std::declval<T>().Field)>::dtype() \
+ }
+
+// Extract name, offset and format descriptor for a struct field
+#define PYBIND11_FIELD_DESCRIPTOR(T, Field) PYBIND11_FIELD_DESCRIPTOR_EX(T, Field, #Field)
+
+// The main idea of this macro is borrowed from https://github.com/swansontec/map-macro
+// (C) William Swanson, Paul Fultz
+#define PYBIND11_EVAL0(...) __VA_ARGS__
+#define PYBIND11_EVAL1(...) PYBIND11_EVAL0 (PYBIND11_EVAL0 (PYBIND11_EVAL0 (__VA_ARGS__)))
+#define PYBIND11_EVAL2(...) PYBIND11_EVAL1 (PYBIND11_EVAL1 (PYBIND11_EVAL1 (__VA_ARGS__)))
+#define PYBIND11_EVAL3(...) PYBIND11_EVAL2 (PYBIND11_EVAL2 (PYBIND11_EVAL2 (__VA_ARGS__)))
+#define PYBIND11_EVAL4(...) PYBIND11_EVAL3 (PYBIND11_EVAL3 (PYBIND11_EVAL3 (__VA_ARGS__)))
+#define PYBIND11_EVAL(...) PYBIND11_EVAL4 (PYBIND11_EVAL4 (PYBIND11_EVAL4 (__VA_ARGS__)))
+#define PYBIND11_MAP_END(...)
+#define PYBIND11_MAP_OUT
+#define PYBIND11_MAP_COMMA ,
+#define PYBIND11_MAP_GET_END() 0, PYBIND11_MAP_END
+#define PYBIND11_MAP_NEXT0(test, next, ...) next PYBIND11_MAP_OUT
+#define PYBIND11_MAP_NEXT1(test, next) PYBIND11_MAP_NEXT0 (test, next, 0)
+#define PYBIND11_MAP_NEXT(test, next) PYBIND11_MAP_NEXT1 (PYBIND11_MAP_GET_END test, next)
+#ifdef _MSC_VER // MSVC is not as eager to expand macros, hence this workaround
+#define PYBIND11_MAP_LIST_NEXT1(test, next) \
+ PYBIND11_EVAL0 (PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0))
+#else
+#define PYBIND11_MAP_LIST_NEXT1(test, next) \
+ PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0)
+#endif
+#define PYBIND11_MAP_LIST_NEXT(test, next) \
+ PYBIND11_MAP_LIST_NEXT1 (PYBIND11_MAP_GET_END test, next)
+#define PYBIND11_MAP_LIST0(f, t, x, peek, ...) \
+ f(t, x) PYBIND11_MAP_LIST_NEXT (peek, PYBIND11_MAP_LIST1) (f, t, peek, __VA_ARGS__)
+#define PYBIND11_MAP_LIST1(f, t, x, peek, ...) \
+ f(t, x) PYBIND11_MAP_LIST_NEXT (peek, PYBIND11_MAP_LIST0) (f, t, peek, __VA_ARGS__)
+// PYBIND11_MAP_LIST(f, t, a1, a2, ...) expands to f(t, a1), f(t, a2), ...
+#define PYBIND11_MAP_LIST(f, t, ...) \
+ PYBIND11_EVAL (PYBIND11_MAP_LIST1 (f, t, __VA_ARGS__, (), 0))
+
+#define PYBIND11_NUMPY_DTYPE(Type, ...) \
+ ::pybind11::detail::npy_format_descriptor<Type>::register_dtype \
+ ({PYBIND11_MAP_LIST (PYBIND11_FIELD_DESCRIPTOR, Type, __VA_ARGS__)})
+
+#ifdef _MSC_VER
+#define PYBIND11_MAP2_LIST_NEXT1(test, next) \
+ PYBIND11_EVAL0 (PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0))
+#else
+#define PYBIND11_MAP2_LIST_NEXT1(test, next) \
+ PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0)
+#endif
+#define PYBIND11_MAP2_LIST_NEXT(test, next) \
+ PYBIND11_MAP2_LIST_NEXT1 (PYBIND11_MAP_GET_END test, next)
+#define PYBIND11_MAP2_LIST0(f, t, x1, x2, peek, ...) \
+ f(t, x1, x2) PYBIND11_MAP2_LIST_NEXT (peek, PYBIND11_MAP2_LIST1) (f, t, peek, __VA_ARGS__)
+#define PYBIND11_MAP2_LIST1(f, t, x1, x2, peek, ...) \
+ f(t, x1, x2) PYBIND11_MAP2_LIST_NEXT (peek, PYBIND11_MAP2_LIST0) (f, t, peek, __VA_ARGS__)
+// PYBIND11_MAP2_LIST(f, t, a1, a2, ...) expands to f(t, a1, a2), f(t, a3, a4), ...
+#define PYBIND11_MAP2_LIST(f, t, ...) \
+ PYBIND11_EVAL (PYBIND11_MAP2_LIST1 (f, t, __VA_ARGS__, (), 0))
+
+#define PYBIND11_NUMPY_DTYPE_EX(Type, ...) \
+ ::pybind11::detail::npy_format_descriptor<Type>::register_dtype \
+ ({PYBIND11_MAP2_LIST (PYBIND11_FIELD_DESCRIPTOR_EX, Type, __VA_ARGS__)})
+
+template <class T>
+using array_iterator = typename std::add_pointer<T>::type;
+
+template <class T>
+array_iterator<T> array_begin(const buffer_info& buffer) {
+ return array_iterator<T>(reinterpret_cast<T*>(buffer.ptr));
+}
+
+template <class T>
+array_iterator<T> array_end(const buffer_info& buffer) {
+ return array_iterator<T>(reinterpret_cast<T*>(buffer.ptr) + buffer.size);
+}
+
+class common_iterator {
+public:
+ using container_type = std::vector<size_t>;
+ using value_type = container_type::value_type;
+ using size_type = container_type::size_type;
+
+ common_iterator() : p_ptr(0), m_strides() {}
+
+ common_iterator(void* ptr, const container_type& strides, const std::vector<size_t>& shape)
+ : p_ptr(reinterpret_cast<char*>(ptr)), m_strides(strides.size()) {
+ m_strides.back() = static_cast<value_type>(strides.back());
+ for (size_type i = m_strides.size() - 1; i != 0; --i) {
+ size_type j = i - 1;
+ value_type s = static_cast<value_type>(shape[i]);
+ m_strides[j] = strides[j] + m_strides[i] - strides[i] * s;
+ }
+ }
+
+ void increment(size_type dim) {
+ p_ptr += m_strides[dim];
+ }
+
+ void* data() const {
+ return p_ptr;
+ }
+
+private:
+ char* p_ptr;
+ container_type m_strides;
+};
+
+template <size_t N> class multi_array_iterator {
+public:
+ using container_type = std::vector<size_t>;
+
+ multi_array_iterator(const std::array<buffer_info, N> &buffers,
+ const std::vector<size_t> &shape)
+ : m_shape(shape.size()), m_index(shape.size(), 0),
+ m_common_iterator() {
+
+ // Manual copy to avoid conversion warning if using std::copy
+ for (size_t i = 0; i < shape.size(); ++i)
+ m_shape[i] = static_cast<container_type::value_type>(shape[i]);
+
+ container_type strides(shape.size());
+ for (size_t i = 0; i < N; ++i)
+ init_common_iterator(buffers[i], shape, m_common_iterator[i], strides);
+ }
+
+ multi_array_iterator& operator++() {
+ for (size_t j = m_index.size(); j != 0; --j) {
+ size_t i = j - 1;
+ if (++m_index[i] != m_shape[i]) {
+ increment_common_iterator(i);
+ break;
+ } else {
+ m_index[i] = 0;
+ }
+ }
+ return *this;
+ }
+
+ template <size_t K, class T> const T& data() const {
+ return *reinterpret_cast<T*>(m_common_iterator[K].data());
+ }
+
+private:
+
+ using common_iter = common_iterator;
+
+ void init_common_iterator(const buffer_info &buffer,
+ const std::vector<size_t> &shape,
+ common_iter &iterator, container_type &strides) {
+ auto buffer_shape_iter = buffer.shape.rbegin();
+ auto buffer_strides_iter = buffer.strides.rbegin();
+ auto shape_iter = shape.rbegin();
+ auto strides_iter = strides.rbegin();
+
+ while (buffer_shape_iter != buffer.shape.rend()) {
+ if (*shape_iter == *buffer_shape_iter)
+ *strides_iter = static_cast<size_t>(*buffer_strides_iter);
+ else
+ *strides_iter = 0;
+
+ ++buffer_shape_iter;
+ ++buffer_strides_iter;
+ ++shape_iter;
+ ++strides_iter;
+ }
+
+ std::fill(strides_iter, strides.rend(), 0);
+ iterator = common_iter(buffer.ptr, strides, shape);
+ }
+
+ void increment_common_iterator(size_t dim) {
+ for (auto &iter : m_common_iterator)
+ iter.increment(dim);
+ }
+
+ container_type m_shape;
+ container_type m_index;
+ std::array<common_iter, N> m_common_iterator;
+};
+
+template <size_t N>
+bool broadcast(const std::array<buffer_info, N>& buffers, size_t& ndim, std::vector<size_t>& shape) {
+ ndim = std::accumulate(buffers.begin(), buffers.end(), size_t(0), [](size_t res, const buffer_info& buf) {
+ return std::max(res, buf.ndim);
+ });
+
+ shape = std::vector<size_t>(ndim, 1);
+ bool trivial_broadcast = true;
+ for (size_t i = 0; i < N; ++i) {
+ auto res_iter = shape.rbegin();
+ bool i_trivial_broadcast = (buffers[i].size == 1) || (buffers[i].ndim == ndim);
+ for (auto shape_iter = buffers[i].shape.rbegin();
+ shape_iter != buffers[i].shape.rend(); ++shape_iter, ++res_iter) {
+
+ if (*res_iter == 1)
+ *res_iter = *shape_iter;
+ else if ((*shape_iter != 1) && (*res_iter != *shape_iter))
+ pybind11_fail("pybind11::vectorize: incompatible size/dimension of inputs!");
+
+ i_trivial_broadcast = i_trivial_broadcast && (*res_iter == *shape_iter);
+ }
+ trivial_broadcast = trivial_broadcast && i_trivial_broadcast;
+ }
+ return trivial_broadcast;
+}
+
+template <typename Func, typename Return, typename... Args>
+struct vectorize_helper {
+ typename std::remove_reference<Func>::type f;
+
+ template <typename T>
+ explicit vectorize_helper(T&&f) : f(std::forward<T>(f)) { }
+
+ object operator()(array_t<Args, array::c_style | array::forcecast>... args) {
+ return run(args..., make_index_sequence<sizeof...(Args)>());
+ }
+
+ template <size_t ... Index> object run(array_t<Args, array::c_style | array::forcecast>&... args, index_sequence<Index...> index) {
+ /* Request buffers from all parameters */
+ const size_t N = sizeof...(Args);
+
+ std::array<buffer_info, N> buffers {{ args.request()... }};
+
+ /* Determine dimensions parameters of output array */
+ size_t ndim = 0;
+ std::vector<size_t> shape(0);
+ bool trivial_broadcast = broadcast(buffers, ndim, shape);
+
+ size_t size = 1;
+ std::vector<size_t> strides(ndim);
+ if (ndim > 0) {
+ strides[ndim-1] = sizeof(Return);
+ for (size_t i = ndim - 1; i > 0; --i) {
+ strides[i - 1] = strides[i] * shape[i];
+ size *= shape[i];
+ }
+ size *= shape[0];
+ }
+
+ if (size == 1)
+ return cast(f(*((Args *) buffers[Index].ptr)...));
+
+ array_t<Return> result(shape, strides);
+ auto buf = result.request();
+ auto output = (Return *) buf.ptr;
+
+ if (trivial_broadcast) {
+ /* Call the function */
+ for (size_t i = 0; i < size; ++i) {
+ output[i] = f((buffers[Index].size == 1
+ ? *((Args *) buffers[Index].ptr)
+ : ((Args *) buffers[Index].ptr)[i])...);
+ }
+ } else {
+ apply_broadcast<N, Index...>(buffers, buf, index);
+ }
+
+ return result;
+ }
+
+ template <size_t N, size_t... Index>
+ void apply_broadcast(const std::array<buffer_info, N> &buffers,
+ buffer_info &output, index_sequence<Index...>) {
+ using input_iterator = multi_array_iterator<N>;
+ using output_iterator = array_iterator<Return>;
+
+ input_iterator input_iter(buffers, output.shape);
+ output_iterator output_end = array_end<Return>(output);
+
+ for (output_iterator iter = array_begin<Return>(output);
+ iter != output_end; ++iter, ++input_iter) {
+ *iter = f((input_iter.template data<Index, Args>())...);
+ }
+ }
+};
+
+template <typename T, int Flags> struct handle_type_name<array_t<T, Flags>> {
+ static PYBIND11_DESCR name() { return _("numpy.ndarray[") + type_caster<T>::name() + _("]"); }
+};
+
+NAMESPACE_END(detail)
+
+template <typename Func, typename Return, typename... Args>
+detail::vectorize_helper<Func, Return, Args...> vectorize(const Func &f, Return (*) (Args ...)) {
+ return detail::vectorize_helper<Func, Return, Args...>(f);
+}
+
+template <typename Return, typename... Args>
+detail::vectorize_helper<Return (*) (Args ...), Return, Args...> vectorize(Return (*f) (Args ...)) {
+ return vectorize<Return (*) (Args ...), Return, Args...>(f, f);
+}
+
+template <typename Func>
+auto vectorize(Func &&f) -> decltype(
+ vectorize(std::forward<Func>(f), (typename detail::remove_class<decltype(&std::remove_reference<Func>::type::operator())>::type *) nullptr)) {
+ return vectorize(std::forward<Func>(f), (typename detail::remove_class<decltype(
+ &std::remove_reference<Func>::type::operator())>::type *) nullptr);
+}
+
+NAMESPACE_END(pybind11)
+
+#if defined(_MSC_VER)
+#pragma warning(pop)
+#endif
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ pybind11/pybind11.h: Main header file of the C++11 python
+ binding generator library
+
+ 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(_MSC_VER)
+# pragma warning(push)
+# pragma warning(disable: 4100) // warning C4100: Unreferenced formal parameter
+# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
+# pragma warning(disable: 4512) // warning C4512: Assignment operator was implicitly defined as deleted
+# pragma warning(disable: 4800) // warning C4800: 'int': forcing value to bool 'true' or 'false' (performance warning)
+# pragma warning(disable: 4996) // warning C4996: The POSIX name for this item is deprecated. Instead, use the ISO C and C++ conformant name
+# pragma warning(disable: 4702) // warning C4702: unreachable code
+# pragma warning(disable: 4522) // warning C4522: multiple assignment operators specified
+#elif defined(__INTEL_COMPILER)
+# pragma warning(push)
+# pragma warning(disable: 186) // pointless comparison of unsigned integer with zero
+# pragma warning(disable: 1334) // the "template" keyword used for syntactic disambiguation may only be used within a template
+# pragma warning(disable: 2196) // warning #2196: routine is both "inline" and "noinline"
+#elif defined(__GNUG__) && !defined(__clang__)
+# pragma GCC diagnostic push
+# pragma GCC diagnostic ignored "-Wunused-but-set-parameter"
+# pragma GCC diagnostic ignored "-Wunused-but-set-variable"
+# pragma GCC diagnostic ignored "-Wmissing-field-initializers"
+# pragma GCC diagnostic ignored "-Wstrict-aliasing"
+# pragma GCC diagnostic ignored "-Wattributes"
+#endif
+
+#include "attr.h"
+#include "options.h"
+
+NAMESPACE_BEGIN(pybind11)
+
+/// Wraps an arbitrary C++ function/method/lambda function/.. into a callable Python object
+class cpp_function : public function {
+public:
+ cpp_function() { }
+
+ /// Construct a cpp_function from a vanilla function pointer
+ template <typename Return, typename... Args, typename... Extra>
+ cpp_function(Return (*f)(Args...), const Extra&... extra) {
+ initialize(f, f, extra...);
+ }
+
+ /// Construct a cpp_function from a lambda function (possibly with internal state)
+ template <typename Func, typename... Extra> cpp_function(Func &&f, const Extra&... extra) {
+ initialize(std::forward<Func>(f),
+ (typename detail::remove_class<decltype(
+ &std::remove_reference<Func>::type::operator())>::type *) nullptr, extra...);
+ }
+
+ /// Construct a cpp_function from a class method (non-const)
+ template <typename Return, typename Class, typename... Arg, typename... Extra>
+ cpp_function(Return (Class::*f)(Arg...), const Extra&... extra) {
+ initialize([f](Class *c, Arg... args) -> Return { return (c->*f)(args...); },
+ (Return (*) (Class *, Arg...)) nullptr, extra...);
+ }
+
+ /// Construct a cpp_function from a class method (const)
+ template <typename Return, typename Class, typename... Arg, typename... Extra>
+ cpp_function(Return (Class::*f)(Arg...) const, const Extra&... extra) {
+ initialize([f](const Class *c, Arg... args) -> Return { return (c->*f)(args...); },
+ (Return (*)(const Class *, Arg ...)) nullptr, extra...);
+ }
+
+ /// Return the function name
+ object name() const { return attr("__name__"); }
+
+protected:
+ /// Space optimization: don't inline this frequently instantiated fragment
+ PYBIND11_NOINLINE detail::function_record *make_function_record() {
+ return new detail::function_record();
+ }
+
+ /// Special internal constructor for functors, lambda functions, etc.
+ template <typename Func, typename Return, typename... Args, typename... Extra>
+ void initialize(Func &&f, Return (*)(Args...), const Extra&... extra) {
+ static_assert(detail::expected_num_args<Extra...>(sizeof...(Args)),
+ "The number of named arguments does not match the function signature");
+
+ struct capture { typename std::remove_reference<Func>::type f; };
+
+ /* Store the function including any extra state it might have (e.g. a lambda capture object) */
+ auto rec = make_function_record();
+
+ /* Store the capture object directly in the function record if there is enough space */
+ if (sizeof(capture) <= sizeof(rec->data)) {
+ /* Without these pragmas, GCC warns that there might not be
+ enough space to use the placement new operator. However, the
+ 'if' statement above ensures that this is the case. */
+#if defined(__GNUG__) && !defined(__clang__) && __GNUC__ >= 6
+# pragma GCC diagnostic push
+# pragma GCC diagnostic ignored "-Wplacement-new"
+#endif
+ new ((capture *) &rec->data) capture { std::forward<Func>(f) };
+#if defined(__GNUG__) && !defined(__clang__) && __GNUC__ >= 6
+# pragma GCC diagnostic pop
+#endif
+ if (!std::is_trivially_destructible<Func>::value)
+ rec->free_data = [](detail::function_record *r) { ((capture *) &r->data)->~capture(); };
+ } else {
+ rec->data[0] = new capture { std::forward<Func>(f) };
+ rec->free_data = [](detail::function_record *r) { delete ((capture *) r->data[0]); };
+ }
+
+ /* Type casters for the function arguments and return value */
+ using cast_in = detail::argument_loader<Args...>;
+ using cast_out = detail::make_caster<
+ detail::conditional_t<std::is_void<Return>::value, detail::void_type, Return>
+ >;
+
+ /* Dispatch code which converts function arguments and performs the actual function call */
+ rec->impl = [](detail::function_record *rec, handle args, handle kwargs, handle parent) -> handle {
+ cast_in args_converter;
+
+ /* Try to cast the function arguments into the C++ domain */
+ if (!args_converter.load_args(args, kwargs, true))
+ return PYBIND11_TRY_NEXT_OVERLOAD;
+
+ /* Invoke call policy pre-call hook */
+ detail::process_attributes<Extra...>::precall(args);
+
+ /* Get a pointer to the capture object */
+ capture *cap = (capture *) (sizeof(capture) <= sizeof(rec->data)
+ ? &rec->data : rec->data[0]);
+
+ /* Override policy for rvalues -- always move */
+ constexpr auto is_rvalue = !std::is_pointer<Return>::value
+ && !std::is_lvalue_reference<Return>::value;
+ const auto policy = is_rvalue ? return_value_policy::move : rec->policy;
+
+ /* Perform the function call */
+ handle result = cast_out::cast(args_converter.template call<Return>(cap->f),
+ policy, parent);
+
+ /* Invoke call policy post-call hook */
+ detail::process_attributes<Extra...>::postcall(args, result);
+
+ return result;
+ };
+
+ /* Process any user-provided function attributes */
+ detail::process_attributes<Extra...>::init(extra..., rec);
+
+ /* Generate a readable signature describing the function's arguments and return value types */
+ using detail::descr; using detail::_;
+ PYBIND11_DESCR signature = _("(") + cast_in::arg_names() + _(") -> ") + cast_out::name();
+
+ /* Register the function with Python from generic (non-templated) code */
+ initialize_generic(rec, signature.text(), signature.types(), sizeof...(Args));
+
+ if (cast_in::has_args) rec->has_args = true;
+ if (cast_in::has_kwargs) rec->has_kwargs = true;
+
+ /* Stash some additional information used by an important optimization in 'functional.h' */
+ using FunctionType = Return (*)(Args...);
+ constexpr bool is_function_ptr =
+ std::is_convertible<Func, FunctionType>::value &&
+ sizeof(capture) == sizeof(void *);
+ if (is_function_ptr) {
+ rec->is_stateless = true;
+ rec->data[1] = (void *) &typeid(FunctionType);
+ }
+ }
+
+ /// Register a function call with Python (generic non-templated code goes here)
+ void initialize_generic(detail::function_record *rec, const char *text,
+ const std::type_info *const *types, size_t args) {
+
+ /* Create copies of all referenced C-style strings */
+ rec->name = strdup(rec->name ? rec->name : "");
+ if (rec->doc) rec->doc = strdup(rec->doc);
+ for (auto &a: rec->args) {
+ if (a.name)
+ a.name = strdup(a.name);
+ if (a.descr)
+ a.descr = strdup(a.descr);
+ else if (a.value)
+ a.descr = strdup(a.value.attr("__repr__")().cast<std::string>().c_str());
+ }
+
+ /* Generate a proper function signature */
+ std::string signature;
+ size_t type_depth = 0, char_index = 0, type_index = 0, arg_index = 0;
+ while (true) {
+ char c = text[char_index++];
+ if (c == '\0')
+ break;
+
+ if (c == '{') {
+ // Write arg name for everything except *args, **kwargs and return type.
+ if (type_depth == 0 && text[char_index] != '*' && arg_index < args) {
+ if (!rec->args.empty()) {
+ signature += rec->args[arg_index].name;
+ } else if (arg_index == 0 && rec->is_method) {
+ signature += "self";
+ } else {
+ signature += "arg" + std::to_string(arg_index - (rec->is_method ? 1 : 0));
+ }
+ signature += ": ";
+ }
+ ++type_depth;
+ } else if (c == '}') {
+ --type_depth;
+ if (type_depth == 0) {
+ if (arg_index < rec->args.size() && rec->args[arg_index].descr) {
+ signature += "=";
+ signature += rec->args[arg_index].descr;
+ }
+ arg_index++;
+ }
+ } else if (c == '%') {
+ const std::type_info *t = types[type_index++];
+ if (!t)
+ pybind11_fail("Internal error while parsing type signature (1)");
+ if (auto tinfo = detail::get_type_info(*t)) {
+ signature += tinfo->type->tp_name;
+ } else {
+ std::string tname(t->name());
+ detail::clean_type_id(tname);
+ signature += tname;
+ }
+ } else {
+ signature += c;
+ }
+ }
+ if (type_depth != 0 || types[type_index] != nullptr)
+ pybind11_fail("Internal error while parsing type signature (2)");
+
+ #if !defined(PYBIND11_CPP14)
+ delete[] types;
+ delete[] text;
+ #endif
+
+#if PY_MAJOR_VERSION < 3
+ if (strcmp(rec->name, "__next__") == 0) {
+ std::free(rec->name);
+ rec->name = strdup("next");
+ } else if (strcmp(rec->name, "__bool__") == 0) {
+ std::free(rec->name);
+ rec->name = strdup("__nonzero__");
+ }
+#endif
+ rec->signature = strdup(signature.c_str());
+ rec->args.shrink_to_fit();
+ rec->is_constructor = !strcmp(rec->name, "__init__") || !strcmp(rec->name, "__setstate__");
+ rec->nargs = (uint16_t) args;
+
+#if PY_MAJOR_VERSION < 3
+ if (rec->sibling && PyMethod_Check(rec->sibling.ptr()))
+ rec->sibling = PyMethod_GET_FUNCTION(rec->sibling.ptr());
+#endif
+
+ detail::function_record *chain = nullptr, *chain_start = rec;
+ if (rec->sibling) {
+ if (PyCFunction_Check(rec->sibling.ptr())) {
+ auto rec_capsule = reinterpret_borrow<capsule>(PyCFunction_GetSelf(rec->sibling.ptr()));
+ chain = (detail::function_record *) rec_capsule;
+ /* Never append a method to an overload chain of a parent class;
+ instead, hide the parent's overloads in this case */
+ if (chain->scope != rec->scope)
+ chain = nullptr;
+ }
+ // Don't trigger for things like the default __init__, which are wrapper_descriptors that we are intentionally replacing
+ else if (!rec->sibling.is_none() && rec->name[0] != '_')
+ pybind11_fail("Cannot overload existing non-function object \"" + std::string(rec->name) +
+ "\" with a function of the same name");
+ }
+
+ if (!chain) {
+ /* No existing overload was found, create a new function object */
+ rec->def = new PyMethodDef();
+ memset(rec->def, 0, sizeof(PyMethodDef));
+ rec->def->ml_name = rec->name;
+ rec->def->ml_meth = reinterpret_cast<PyCFunction>(*dispatcher);
+ rec->def->ml_flags = METH_VARARGS | METH_KEYWORDS;
+
+ capsule rec_capsule(rec, [](PyObject *o) {
+ destruct((detail::function_record *) PyCapsule_GetPointer(o, nullptr));
+ });
+
+ object scope_module;
+ if (rec->scope) {
+ if (hasattr(rec->scope, "__module__")) {
+ scope_module = rec->scope.attr("__module__");
+ } else if (hasattr(rec->scope, "__name__")) {
+ scope_module = rec->scope.attr("__name__");
+ }
+ }
+
+ m_ptr = PyCFunction_NewEx(rec->def, rec_capsule.ptr(), scope_module.ptr());
+ if (!m_ptr)
+ pybind11_fail("cpp_function::cpp_function(): Could not allocate function object");
+ } else {
+ /* Append at the end of the overload chain */
+ m_ptr = rec->sibling.ptr();
+ inc_ref();
+ chain_start = chain;
+ while (chain->next)
+ chain = chain->next;
+ chain->next = rec;
+ }
+
+ std::string signatures;
+ int index = 0;
+ /* Create a nice pydoc rec including all signatures and
+ docstrings of the functions in the overload chain */
+ if (chain && options::show_function_signatures()) {
+ // First a generic signature
+ signatures += rec->name;
+ signatures += "(*args, **kwargs)\n";
+ signatures += "Overloaded function.\n\n";
+ }
+ // Then specific overload signatures
+ for (auto it = chain_start; it != nullptr; it = it->next) {
+ if (options::show_function_signatures()) {
+ if (chain)
+ signatures += std::to_string(++index) + ". ";
+ signatures += rec->name;
+ signatures += it->signature;
+ signatures += "\n";
+ }
+ if (it->doc && strlen(it->doc) > 0 && options::show_user_defined_docstrings()) {
+ if (options::show_function_signatures()) signatures += "\n";
+ signatures += it->doc;
+ if (options::show_function_signatures()) signatures += "\n";
+ }
+ if (it->next)
+ signatures += "\n";
+ }
+
+ /* Install docstring */
+ PyCFunctionObject *func = (PyCFunctionObject *) m_ptr;
+ if (func->m_ml->ml_doc)
+ std::free((char *) func->m_ml->ml_doc);
+ func->m_ml->ml_doc = strdup(signatures.c_str());
+
+ if (rec->is_method) {
+ m_ptr = PYBIND11_INSTANCE_METHOD_NEW(m_ptr, rec->scope.ptr());
+ if (!m_ptr)
+ pybind11_fail("cpp_function::cpp_function(): Could not allocate instance method object");
+ Py_DECREF(func);
+ }
+ }
+
+ /// When a cpp_function is GCed, release any memory allocated by pybind11
+ static void destruct(detail::function_record *rec) {
+ while (rec) {
+ detail::function_record *next = rec->next;
+ if (rec->free_data)
+ rec->free_data(rec);
+ std::free((char *) rec->name);
+ std::free((char *) rec->doc);
+ std::free((char *) rec->signature);
+ for (auto &arg: rec->args) {
+ std::free((char *) arg.name);
+ std::free((char *) arg.descr);
+ arg.value.dec_ref();
+ }
+ if (rec->def) {
+ std::free((char *) rec->def->ml_doc);
+ delete rec->def;
+ }
+ delete rec;
+ rec = next;
+ }
+ }
+
+ /// Main dispatch logic for calls to functions bound using pybind11
+ static PyObject *dispatcher(PyObject *self, PyObject *args, PyObject *kwargs) {
+ /* Iterator over the list of potentially admissible overloads */
+ detail::function_record *overloads = (detail::function_record *) PyCapsule_GetPointer(self, nullptr),
+ *it = overloads;
+
+ /* Need to know how many arguments + keyword arguments there are to pick the right overload */
+ size_t nargs = (size_t) PyTuple_GET_SIZE(args),
+ nkwargs = kwargs ? (size_t) PyDict_Size(kwargs) : 0;
+
+ handle parent = nargs > 0 ? PyTuple_GET_ITEM(args, 0) : nullptr,
+ result = PYBIND11_TRY_NEXT_OVERLOAD;
+ try {
+ for (; it != nullptr; it = it->next) {
+ auto args_ = reinterpret_borrow<tuple>(args);
+ size_t kwargs_consumed = 0;
+
+ /* For each overload:
+ 1. If the required list of arguments is longer than the
+ actually provided amount, create a copy of the argument
+ list and fill in any available keyword/default arguments.
+ 2. Ensure that all keyword arguments were "consumed"
+ 3. Call the function call dispatcher (function_record::impl)
+ */
+ size_t nargs_ = nargs;
+ if (nargs < it->args.size()) {
+ nargs_ = it->args.size();
+ args_ = tuple(nargs_);
+ for (size_t i = 0; i < nargs; ++i) {
+ handle item = PyTuple_GET_ITEM(args, i);
+ PyTuple_SET_ITEM(args_.ptr(), i, item.inc_ref().ptr());
+ }
+
+ int arg_ctr = 0;
+ for (auto const &it2 : it->args) {
+ int index = arg_ctr++;
+ if (PyTuple_GET_ITEM(args_.ptr(), index))
+ continue;
+
+ handle value;
+ if (kwargs)
+ value = PyDict_GetItemString(kwargs, it2.name);
+
+ if (value)
+ kwargs_consumed++;
+ else if (it2.value)
+ value = it2.value;
+
+ if (value) {
+ PyTuple_SET_ITEM(args_.ptr(), index, value.inc_ref().ptr());
+ } else {
+ kwargs_consumed = (size_t) -1; /* definite failure */
+ break;
+ }
+ }
+ }
+
+ try {
+ if ((kwargs_consumed == nkwargs || it->has_kwargs) &&
+ (nargs_ == it->nargs || it->has_args))
+ result = it->impl(it, args_, kwargs, parent);
+ } catch (reference_cast_error &) {
+ result = PYBIND11_TRY_NEXT_OVERLOAD;
+ }
+
+ if (result.ptr() != PYBIND11_TRY_NEXT_OVERLOAD)
+ break;
+ }
+ } catch (error_already_set &e) {
+ e.restore();
+ return nullptr;
+ } catch (...) {
+ /* When an exception is caught, give each registered exception
+ translator a chance to translate it to a Python exception
+ in reverse order of registration.
+
+ A translator may choose to do one of the following:
+
+ - catch the exception and call PyErr_SetString or PyErr_SetObject
+ to set a standard (or custom) Python exception, or
+ - do nothing and let the exception fall through to the next translator, or
+ - delegate translation to the next translator by throwing a new type of exception. */
+
+ auto last_exception = std::current_exception();
+ auto ®istered_exception_translators = pybind11::detail::get_internals().registered_exception_translators;
+ for (auto& translator : registered_exception_translators) {
+ try {
+ translator(last_exception);
+ } catch (...) {
+ last_exception = std::current_exception();
+ continue;
+ }
+ return nullptr;
+ }
+ PyErr_SetString(PyExc_SystemError, "Exception escaped from default exception translator!");
+ return nullptr;
+ }
+
+ if (result.ptr() == PYBIND11_TRY_NEXT_OVERLOAD) {
+ if (overloads->is_operator)
+ return handle(Py_NotImplemented).inc_ref().ptr();
+
+ std::string msg = std::string(overloads->name) + "(): incompatible " +
+ std::string(overloads->is_constructor ? "constructor" : "function") +
+ " arguments. The following argument types are supported:\n";
+
+ int ctr = 0;
+ for (detail::function_record *it2 = overloads; it2 != nullptr; it2 = it2->next) {
+ msg += " "+ std::to_string(++ctr) + ". ";
+
+ bool wrote_sig = false;
+ if (overloads->is_constructor) {
+ // For a constructor, rewrite `(self: Object, arg0, ...) -> NoneType` as `Object(arg0, ...)`
+ std::string sig = it2->signature;
+ size_t start = sig.find('(') + 7; // skip "(self: "
+ if (start < sig.size()) {
+ // End at the , for the next argument
+ size_t end = sig.find(", "), next = end + 2;
+ size_t ret = sig.rfind(" -> ");
+ // Or the ), if there is no comma:
+ if (end >= sig.size()) next = end = sig.find(')');
+ if (start < end && next < sig.size()) {
+ msg.append(sig, start, end - start);
+ msg += '(';
+ msg.append(sig, next, ret - next);
+ wrote_sig = true;
+ }
+ }
+ }
+ if (!wrote_sig) msg += it2->signature;
+
+ msg += "\n";
+ }
+ msg += "\nInvoked with: ";
+ auto args_ = reinterpret_borrow<tuple>(args);
+ for (size_t ti = overloads->is_constructor ? 1 : 0; ti < args_.size(); ++ti) {
+ msg += pybind11::repr(args_[ti]);
+ if ((ti + 1) != args_.size() )
+ msg += ", ";
+ }
+ PyErr_SetString(PyExc_TypeError, msg.c_str());
+ return nullptr;
+ } else if (!result) {
+ std::string msg = "Unable to convert function return value to a "
+ "Python type! The signature was\n\t";
+ msg += it->signature;
+ PyErr_SetString(PyExc_TypeError, msg.c_str());
+ return nullptr;
+ } else {
+ if (overloads->is_constructor) {
+ /* When a constructor ran successfully, the corresponding
+ holder type (e.g. std::unique_ptr) must still be initialized. */
+ PyObject *inst = PyTuple_GET_ITEM(args, 0);
+ auto tinfo = detail::get_type_info(Py_TYPE(inst));
+ tinfo->init_holder(inst, nullptr);
+ }
+ return result.ptr();
+ }
+ }
+};
+
+/// Wrapper for Python extension modules
+class module : public object {
+public:
+ PYBIND11_OBJECT_DEFAULT(module, object, PyModule_Check)
+
+ explicit module(const char *name, const char *doc = nullptr) {
+ if (!options::show_user_defined_docstrings()) doc = nullptr;
+#if PY_MAJOR_VERSION >= 3
+ PyModuleDef *def = new PyModuleDef();
+ memset(def, 0, sizeof(PyModuleDef));
+ def->m_name = name;
+ def->m_doc = doc;
+ def->m_size = -1;
+ Py_INCREF(def);
+ m_ptr = PyModule_Create(def);
+#else
+ m_ptr = Py_InitModule3(name, nullptr, doc);
+#endif
+ if (m_ptr == nullptr)
+ pybind11_fail("Internal error in module::module()");
+ inc_ref();
+ }
+
+ template <typename Func, typename... Extra>
+ module &def(const char *name_, Func &&f, const Extra& ... extra) {
+ cpp_function func(std::forward<Func>(f), name(name_), scope(*this),
+ sibling(getattr(*this, name_, none())), extra...);
+ // NB: allow overwriting here because cpp_function sets up a chain with the intention of
+ // overwriting (and has already checked internally that it isn't overwriting non-functions).
+ add_object(name_, func, true /* overwrite */);
+ return *this;
+ }
+
+ module def_submodule(const char *name, const char *doc = nullptr) {
+ std::string full_name = std::string(PyModule_GetName(m_ptr))
+ + std::string(".") + std::string(name);
+ auto result = reinterpret_borrow<module>(PyImport_AddModule(full_name.c_str()));
+ if (doc && options::show_user_defined_docstrings())
+ result.attr("__doc__") = pybind11::str(doc);
+ attr(name) = result;
+ return result;
+ }
+
+ static module import(const char *name) {
+ PyObject *obj = PyImport_ImportModule(name);
+ if (!obj)
+ throw error_already_set();
+ return reinterpret_steal<module>(obj);
+ }
+
+ // Adds an object to the module using the given name. Throws if an object with the given name
+ // already exists.
+ //
+ // overwrite should almost always be false: attempting to overwrite objects that pybind11 has
+ // established will, in most cases, break things.
+ PYBIND11_NOINLINE void add_object(const char *name, object &obj, bool overwrite = false) {
+ if (!overwrite && hasattr(*this, name))
+ pybind11_fail("Error during initialization: multiple incompatible definitions with name \"" +
+ std::string(name) + "\"");
+
+ obj.inc_ref(); // PyModule_AddObject() steals a reference
+ PyModule_AddObject(ptr(), name, obj.ptr());
+ }
+};
+
+NAMESPACE_BEGIN(detail)
+extern "C" inline PyObject *get_dict(PyObject *op, void *) {
+ PyObject *&dict = *_PyObject_GetDictPtr(op);
+ if (!dict) {
+ dict = PyDict_New();
+ }
+ Py_XINCREF(dict);
+ return dict;
+}
+
+extern "C" inline int set_dict(PyObject *op, PyObject *new_dict, void *) {
+ if (!PyDict_Check(new_dict)) {
+ PyErr_Format(PyExc_TypeError, "__dict__ must be set to a dictionary, not a '%.200s'",
+ Py_TYPE(new_dict)->tp_name);
+ return -1;
+ }
+ PyObject *&dict = *_PyObject_GetDictPtr(op);
+ Py_INCREF(new_dict);
+ Py_CLEAR(dict);
+ dict = new_dict;
+ return 0;
+}
+
+static PyGetSetDef generic_getset[] = {
+ {const_cast<char*>("__dict__"), get_dict, set_dict, nullptr, nullptr},
+ {nullptr, nullptr, nullptr, nullptr, nullptr}
+};
+
+/// Generic support for creating new Python heap types
+class generic_type : public object {
+ template <typename...> friend class class_;
+public:
+ PYBIND11_OBJECT_DEFAULT(generic_type, object, PyType_Check)
+protected:
+ void initialize(type_record *rec) {
+ auto &internals = get_internals();
+ auto tindex = std::type_index(*(rec->type));
+
+ if (get_type_info(*(rec->type)))
+ pybind11_fail("generic_type: type \"" + std::string(rec->name) +
+ "\" is already registered!");
+
+ auto name = reinterpret_steal<object>(PYBIND11_FROM_STRING(rec->name));
+ object scope_module;
+ if (rec->scope) {
+ if (hasattr(rec->scope, rec->name))
+ pybind11_fail("generic_type: cannot initialize type \"" + std::string(rec->name) +
+ "\": an object with that name is already defined");
+
+ if (hasattr(rec->scope, "__module__")) {
+ scope_module = rec->scope.attr("__module__");
+ } else if (hasattr(rec->scope, "__name__")) {
+ scope_module = rec->scope.attr("__name__");
+ }
+ }
+
+#if PY_MAJOR_VERSION >= 3 && PY_MINOR_VERSION >= 3
+ /* Qualified names for Python >= 3.3 */
+ object scope_qualname;
+ if (rec->scope && hasattr(rec->scope, "__qualname__"))
+ scope_qualname = rec->scope.attr("__qualname__");
+ object ht_qualname;
+ if (scope_qualname) {
+ ht_qualname = reinterpret_steal<object>(PyUnicode_FromFormat(
+ "%U.%U", scope_qualname.ptr(), name.ptr()));
+ } else {
+ ht_qualname = name;
+ }
+#endif
+
+ size_t num_bases = rec->bases.size();
+ auto bases = tuple(rec->bases);
+
+ std::string full_name = (scope_module ? ((std::string) pybind11::str(scope_module) + "." + rec->name)
+ : std::string(rec->name));
+
+ char *tp_doc = nullptr;
+ if (rec->doc && options::show_user_defined_docstrings()) {
+ /* Allocate memory for docstring (using PyObject_MALLOC, since
+ Python will free this later on) */
+ size_t size = strlen(rec->doc) + 1;
+ tp_doc = (char *) PyObject_MALLOC(size);
+ memcpy((void *) tp_doc, rec->doc, size);
+ }
+
+ /* Danger zone: from now (and until PyType_Ready), make sure to
+ issue no Python C API calls which could potentially invoke the
+ garbage collector (the GC will call type_traverse(), which will in
+ turn find the newly constructed type in an invalid state) */
+
+ auto type_holder = reinterpret_steal<object>(PyType_Type.tp_alloc(&PyType_Type, 0));
+ auto type = (PyHeapTypeObject*) type_holder.ptr();
+
+ if (!type_holder || !name)
+ pybind11_fail(std::string(rec->name) + ": Unable to create type object!");
+
+ /* Register supplemental type information in C++ dict */
+ detail::type_info *tinfo = new detail::type_info();
+ tinfo->type = (PyTypeObject *) type;
+ tinfo->type_size = rec->type_size;
+ tinfo->init_holder = rec->init_holder;
+ tinfo->direct_conversions = &internals.direct_conversions[tindex];
+ internals.registered_types_cpp[tindex] = tinfo;
+ internals.registered_types_py[type] = tinfo;
+
+ /* Basic type attributes */
+ type->ht_type.tp_name = strdup(full_name.c_str());
+ type->ht_type.tp_basicsize = (ssize_t) rec->instance_size;
+
+ if (num_bases > 0) {
+ type->ht_type.tp_base = (PyTypeObject *) ((object) bases[0]).inc_ref().ptr();
+ type->ht_type.tp_bases = bases.release().ptr();
+ rec->multiple_inheritance |= num_bases > 1;
+ }
+
+ type->ht_name = name.release().ptr();
+
+#if PY_MAJOR_VERSION >= 3 && PY_MINOR_VERSION >= 3
+ type->ht_qualname = ht_qualname.release().ptr();
+#endif
+
+ /* Supported protocols */
+ type->ht_type.tp_as_number = &type->as_number;
+ type->ht_type.tp_as_sequence = &type->as_sequence;
+ type->ht_type.tp_as_mapping = &type->as_mapping;
+
+ /* Supported elementary operations */
+ type->ht_type.tp_init = (initproc) init;
+ type->ht_type.tp_new = (newfunc) new_instance;
+ type->ht_type.tp_dealloc = rec->dealloc;
+
+ /* Support weak references (needed for the keep_alive feature) */
+ type->ht_type.tp_weaklistoffset = offsetof(instance_essentials<void>, weakrefs);
+
+ /* Flags */
+ type->ht_type.tp_flags |= Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HEAPTYPE;
+#if PY_MAJOR_VERSION < 3
+ type->ht_type.tp_flags |= Py_TPFLAGS_CHECKTYPES;
+#endif
+ type->ht_type.tp_flags &= ~Py_TPFLAGS_HAVE_GC;
+
+ /* Support dynamic attributes */
+ if (rec->dynamic_attr) {
+ type->ht_type.tp_flags |= Py_TPFLAGS_HAVE_GC;
+ type->ht_type.tp_dictoffset = type->ht_type.tp_basicsize; // place the dict at the end
+ type->ht_type.tp_basicsize += sizeof(PyObject *); // and allocate enough space for it
+ type->ht_type.tp_getset = generic_getset;
+ type->ht_type.tp_traverse = traverse;
+ type->ht_type.tp_clear = clear;
+ }
+
+ type->ht_type.tp_doc = tp_doc;
+
+ if (PyType_Ready(&type->ht_type) < 0)
+ pybind11_fail(std::string(rec->name) + ": PyType_Ready failed (" +
+ detail::error_string() + ")!");
+
+ m_ptr = type_holder.ptr();
+
+ if (scope_module) // Needed by pydoc
+ attr("__module__") = scope_module;
+
+ /* Register type with the parent scope */
+ if (rec->scope)
+ rec->scope.attr(handle(type->ht_name)) = *this;
+
+ if (rec->multiple_inheritance)
+ mark_parents_nonsimple(&type->ht_type);
+
+ type_holder.release();
+ }
+
+ /// Helper function which tags all parents of a type using mult. inheritance
+ void mark_parents_nonsimple(PyTypeObject *value) {
+ auto t = reinterpret_borrow<tuple>(value->tp_bases);
+ for (handle h : t) {
+ auto tinfo2 = get_type_info((PyTypeObject *) h.ptr());
+ if (tinfo2)
+ tinfo2->simple_type = false;
+ mark_parents_nonsimple((PyTypeObject *) h.ptr());
+ }
+ }
+
+ /// Allocate a metaclass on demand (for static properties)
+ handle metaclass() {
+ auto &ht_type = ((PyHeapTypeObject *) m_ptr)->ht_type;
+ auto &ob_type = PYBIND11_OB_TYPE(ht_type);
+
+ if (ob_type == &PyType_Type) {
+ std::string name_ = std::string(ht_type.tp_name) + "__Meta";
+#if PY_MAJOR_VERSION >= 3 && PY_MINOR_VERSION >= 3
+ auto ht_qualname = reinterpret_steal<object>(PyUnicode_FromFormat("%U__Meta", attr("__qualname__").ptr()));
+#endif
+ auto name = reinterpret_steal<object>(PYBIND11_FROM_STRING(name_.c_str()));
+ auto type_holder = reinterpret_steal<object>(PyType_Type.tp_alloc(&PyType_Type, 0));
+ if (!type_holder || !name)
+ pybind11_fail("generic_type::metaclass(): unable to create type object!");
+
+ auto type = (PyHeapTypeObject*) type_holder.ptr();
+ type->ht_name = name.release().ptr();
+
+#if PY_MAJOR_VERSION >= 3 && PY_MINOR_VERSION >= 3
+ /* Qualified names for Python >= 3.3 */
+ type->ht_qualname = ht_qualname.release().ptr();
+#endif
+ type->ht_type.tp_name = strdup(name_.c_str());
+ type->ht_type.tp_base = ob_type;
+ type->ht_type.tp_flags |= (Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HEAPTYPE) &
+ ~Py_TPFLAGS_HAVE_GC;
+
+ if (PyType_Ready(&type->ht_type) < 0)
+ pybind11_fail("generic_type::metaclass(): PyType_Ready failed!");
+
+ ob_type = (PyTypeObject *) type_holder.release().ptr();
+ }
+ return handle((PyObject *) ob_type);
+ }
+
+ static int init(void *self, PyObject *, PyObject *) {
+ std::string msg = std::string(Py_TYPE(self)->tp_name) + ": No constructor defined!";
+ PyErr_SetString(PyExc_TypeError, msg.c_str());
+ return -1;
+ }
+
+ static PyObject *new_instance(PyTypeObject *type, PyObject *, PyObject *) {
+ instance<void> *self = (instance<void> *) PyType_GenericAlloc((PyTypeObject *) type, 0);
+ auto tinfo = detail::get_type_info(type);
+ self->value = ::operator new(tinfo->type_size);
+ self->owned = true;
+ self->holder_constructed = false;
+ detail::get_internals().registered_instances.emplace(self->value, (PyObject *) self);
+ return (PyObject *) self;
+ }
+
+ static void dealloc(instance<void> *self) {
+ if (self->value) {
+ auto instance_type = Py_TYPE(self);
+ auto ®istered_instances = detail::get_internals().registered_instances;
+ auto range = registered_instances.equal_range(self->value);
+ bool found = false;
+ for (auto it = range.first; it != range.second; ++it) {
+ if (instance_type == Py_TYPE(it->second)) {
+ registered_instances.erase(it);
+ found = true;
+ break;
+ }
+ }
+ if (!found)
+ pybind11_fail("generic_type::dealloc(): Tried to deallocate unregistered instance!");
+
+ if (self->weakrefs)
+ PyObject_ClearWeakRefs((PyObject *) self);
+
+ PyObject **dict_ptr = _PyObject_GetDictPtr((PyObject *) self);
+ if (dict_ptr) {
+ Py_CLEAR(*dict_ptr);
+ }
+ }
+ Py_TYPE(self)->tp_free((PyObject*) self);
+ }
+
+ static int traverse(PyObject *op, visitproc visit, void *arg) {
+ PyObject *&dict = *_PyObject_GetDictPtr(op);
+ Py_VISIT(dict);
+ return 0;
+ }
+
+ static int clear(PyObject *op) {
+ PyObject *&dict = *_PyObject_GetDictPtr(op);
+ Py_CLEAR(dict);
+ return 0;
+ }
+
+ void install_buffer_funcs(
+ buffer_info *(*get_buffer)(PyObject *, void *),
+ void *get_buffer_data) {
+ PyHeapTypeObject *type = (PyHeapTypeObject*) m_ptr;
+ type->ht_type.tp_as_buffer = &type->as_buffer;
+#if PY_MAJOR_VERSION < 3
+ type->ht_type.tp_flags |= Py_TPFLAGS_HAVE_NEWBUFFER;
+#endif
+ type->as_buffer.bf_getbuffer = getbuffer;
+ type->as_buffer.bf_releasebuffer = releasebuffer;
+ auto tinfo = detail::get_type_info(&type->ht_type);
+ tinfo->get_buffer = get_buffer;
+ tinfo->get_buffer_data = get_buffer_data;
+ }
+
+ static int getbuffer(PyObject *obj, Py_buffer *view, int flags) {
+ auto tinfo = detail::get_type_info(Py_TYPE(obj));
+ if (view == nullptr || obj == nullptr || !tinfo || !tinfo->get_buffer) {
+ PyErr_SetString(PyExc_BufferError, "generic_type::getbuffer(): Internal error");
+ return -1;
+ }
+ memset(view, 0, sizeof(Py_buffer));
+ buffer_info *info = tinfo->get_buffer(obj, tinfo->get_buffer_data);
+ view->obj = obj;
+ view->ndim = 1;
+ view->internal = info;
+ view->buf = info->ptr;
+ view->itemsize = (ssize_t) info->itemsize;
+ view->len = view->itemsize;
+ for (auto s : info->shape)
+ view->len *= s;
+ if ((flags & PyBUF_FORMAT) == PyBUF_FORMAT)
+ view->format = const_cast<char *>(info->format.c_str());
+ if ((flags & PyBUF_STRIDES) == PyBUF_STRIDES) {
+ view->ndim = (int) info->ndim;
+ view->strides = (ssize_t *) &info->strides[0];
+ view->shape = (ssize_t *) &info->shape[0];
+ }
+ Py_INCREF(view->obj);
+ return 0;
+ }
+
+ static void releasebuffer(PyObject *, Py_buffer *view) { delete (buffer_info *) view->internal; }
+};
+
+NAMESPACE_END(detail)
+
+template <typename type_, typename... options>
+class class_ : public detail::generic_type {
+ template <typename T> using is_holder = detail::is_holder_type<type_, T>;
+ template <typename T> using is_subtype = detail::bool_constant<std::is_base_of<type_, T>::value && !std::is_same<T, type_>::value>;
+ template <typename T> using is_base = detail::bool_constant<std::is_base_of<T, type_>::value && !std::is_same<T, type_>::value>;
+ template <typename T> using is_valid_class_option =
+ detail::bool_constant<
+ is_holder<T>::value ||
+ is_subtype<T>::value ||
+ is_base<T>::value
+ >;
+
+public:
+ using type = type_;
+ using type_alias = detail::first_of_t<is_subtype, void, options...>;
+ constexpr static bool has_alias = !std::is_void<type_alias>::value;
+ using holder_type = detail::first_of_t<is_holder, std::unique_ptr<type>, options...>;
+ using instance_type = detail::instance<type, holder_type>;
+
+ static_assert(detail::all_of_t<is_valid_class_option, options...>::value,
+ "Unknown/invalid class_ template parameters provided");
+
+ PYBIND11_OBJECT(class_, generic_type, PyType_Check)
+
+ template <typename... Extra>
+ class_(handle scope, const char *name, const Extra &... extra) {
+ detail::type_record record;
+ record.scope = scope;
+ record.name = name;
+ record.type = &typeid(type);
+ record.type_size = sizeof(detail::conditional_t<has_alias, type_alias, type>);
+ record.instance_size = sizeof(instance_type);
+ record.init_holder = init_holder;
+ record.dealloc = dealloc;
+
+ /* Register base classes specified via template arguments to class_, if any */
+ bool unused[] = { (add_base<options>(record), false)..., false };
+ (void) unused;
+
+ /* Process optional arguments, if any */
+ detail::process_attributes<Extra...>::init(extra..., &record);
+
+ detail::generic_type::initialize(&record);
+
+ if (has_alias) {
+ auto &instances = pybind11::detail::get_internals().registered_types_cpp;
+ instances[std::type_index(typeid(type_alias))] = instances[std::type_index(typeid(type))];
+ }
+ }
+
+ template <typename Base, detail::enable_if_t<is_base<Base>::value, int> = 0>
+ static void add_base(detail::type_record &rec) {
+ rec.add_base(&typeid(Base), [](void *src) -> void * {
+ return static_cast<Base *>(reinterpret_cast<type *>(src));
+ });
+ }
+
+ template <typename Base, detail::enable_if_t<!is_base<Base>::value, int> = 0>
+ static void add_base(detail::type_record &) { }
+
+ template <typename Func, typename... Extra>
+ class_ &def(const char *name_, Func&& f, const Extra&... extra) {
+ cpp_function cf(std::forward<Func>(f), name(name_), is_method(*this),
+ sibling(getattr(*this, name_, none())), extra...);
+ attr(cf.name()) = cf;
+ return *this;
+ }
+
+ template <typename Func, typename... Extra> class_ &
+ def_static(const char *name_, Func f, const Extra&... extra) {
+ cpp_function cf(std::forward<Func>(f), name(name_), scope(*this),
+ sibling(getattr(*this, name_, none())), extra...);
+ attr(cf.name()) = cf;
+ return *this;
+ }
+
+ template <detail::op_id id, detail::op_type ot, typename L, typename R, typename... Extra>
+ class_ &def(const detail::op_<id, ot, L, R> &op, const Extra&... extra) {
+ op.execute(*this, extra...);
+ return *this;
+ }
+
+ template <detail::op_id id, detail::op_type ot, typename L, typename R, typename... Extra>
+ class_ & def_cast(const detail::op_<id, ot, L, R> &op, const Extra&... extra) {
+ op.execute_cast(*this, extra...);
+ return *this;
+ }
+
+ template <typename... Args, typename... Extra>
+ class_ &def(const detail::init<Args...> &init, const Extra&... extra) {
+ init.execute(*this, extra...);
+ return *this;
+ }
+
+ template <typename... Args, typename... Extra>
+ class_ &def(const detail::init_alias<Args...> &init, const Extra&... extra) {
+ init.execute(*this, extra...);
+ return *this;
+ }
+
+ template <typename Func> class_& def_buffer(Func &&func) {
+ struct capture { Func func; };
+ capture *ptr = new capture { std::forward<Func>(func) };
+ install_buffer_funcs([](PyObject *obj, void *ptr) -> buffer_info* {
+ detail::type_caster<type> caster;
+ if (!caster.load(obj, false))
+ return nullptr;
+ return new buffer_info(((capture *) ptr)->func(caster));
+ }, ptr);
+ return *this;
+ }
+
+ template <typename C, typename D, typename... Extra>
+ class_ &def_readwrite(const char *name, D C::*pm, const Extra&... extra) {
+ cpp_function fget([pm](const C &c) -> const D &{ return c.*pm; }, is_method(*this)),
+ fset([pm](C &c, const D &value) { c.*pm = value; }, is_method(*this));
+ def_property(name, fget, fset, return_value_policy::reference_internal, extra...);
+ return *this;
+ }
+
+ template <typename C, typename D, typename... Extra>
+ class_ &def_readonly(const char *name, const D C::*pm, const Extra& ...extra) {
+ cpp_function fget([pm](const C &c) -> const D &{ return c.*pm; }, is_method(*this));
+ def_property_readonly(name, fget, return_value_policy::reference_internal, extra...);
+ return *this;
+ }
+
+ template <typename D, typename... Extra>
+ class_ &def_readwrite_static(const char *name, D *pm, const Extra& ...extra) {
+ cpp_function fget([pm](object) -> const D &{ return *pm; }, scope(*this)),
+ fset([pm](object, const D &value) { *pm = value; }, scope(*this));
+ def_property_static(name, fget, fset, return_value_policy::reference, extra...);
+ return *this;
+ }
+
+ template <typename D, typename... Extra>
+ class_ &def_readonly_static(const char *name, const D *pm, const Extra& ...extra) {
+ cpp_function fget([pm](object) -> const D &{ return *pm; }, scope(*this));
+ def_property_readonly_static(name, fget, return_value_policy::reference, extra...);
+ return *this;
+ }
+
+ /// Uses return_value_policy::reference_internal by default
+ template <typename Getter, typename... Extra>
+ class_ &def_property_readonly(const char *name, const Getter &fget, const Extra& ...extra) {
+ return def_property_readonly(name, cpp_function(fget), return_value_policy::reference_internal, extra...);
+ }
+
+ /// Uses cpp_function's return_value_policy by default
+ template <typename... Extra>
+ class_ &def_property_readonly(const char *name, const cpp_function &fget, const Extra& ...extra) {
+ return def_property(name, fget, cpp_function(), extra...);
+ }
+
+ /// Uses return_value_policy::reference by default
+ template <typename Getter, typename... Extra>
+ class_ &def_property_readonly_static(const char *name, const Getter &fget, const Extra& ...extra) {
+ return def_property_readonly_static(name, cpp_function(fget), return_value_policy::reference, extra...);
+ }
+
+ /// Uses cpp_function's return_value_policy by default
+ template <typename... Extra>
+ class_ &def_property_readonly_static(const char *name, const cpp_function &fget, const Extra& ...extra) {
+ return def_property_static(name, fget, cpp_function(), extra...);
+ }
+
+ /// Uses return_value_policy::reference_internal by default
+ template <typename Getter, typename... Extra>
+ class_ &def_property(const char *name, const Getter &fget, const cpp_function &fset, const Extra& ...extra) {
+ return def_property(name, cpp_function(fget), fset, return_value_policy::reference_internal, extra...);
+ }
+
+ /// Uses cpp_function's return_value_policy by default
+ template <typename... Extra>
+ class_ &def_property(const char *name, const cpp_function &fget, const cpp_function &fset, const Extra& ...extra) {
+ return def_property_static(name, fget, fset, is_method(*this), extra...);
+ }
+
+ /// Uses return_value_policy::reference by default
+ template <typename Getter, typename... Extra>
+ class_ &def_property_static(const char *name, const Getter &fget, const cpp_function &fset, const Extra& ...extra) {
+ return def_property_static(name, cpp_function(fget), fset, return_value_policy::reference, extra...);
+ }
+
+ /// Uses cpp_function's return_value_policy by default
+ template <typename... Extra>
+ class_ &def_property_static(const char *name, const cpp_function &fget, const cpp_function &fset, const Extra& ...extra) {
+ auto rec_fget = get_function_record(fget), rec_fset = get_function_record(fset);
+ char *doc_prev = rec_fget->doc; /* 'extra' field may include a property-specific documentation string */
+ detail::process_attributes<Extra...>::init(extra..., rec_fget);
+ if (rec_fget->doc && rec_fget->doc != doc_prev) {
+ free(doc_prev);
+ rec_fget->doc = strdup(rec_fget->doc);
+ }
+ if (rec_fset) {
+ doc_prev = rec_fset->doc;
+ detail::process_attributes<Extra...>::init(extra..., rec_fset);
+ if (rec_fset->doc && rec_fset->doc != doc_prev) {
+ free(doc_prev);
+ rec_fset->doc = strdup(rec_fset->doc);
+ }
+ }
+ pybind11::str doc_obj = pybind11::str((rec_fget->doc && pybind11::options::show_user_defined_docstrings()) ? rec_fget->doc : "");
+ const auto property = reinterpret_steal<object>(
+ PyObject_CallFunctionObjArgs((PyObject *) &PyProperty_Type, fget.ptr() ? fget.ptr() : Py_None,
+ fset.ptr() ? fset.ptr() : Py_None, Py_None, doc_obj.ptr(), nullptr));
+ if (rec_fget->is_method && rec_fget->scope)
+ attr(name) = property;
+ else
+ metaclass().attr(name) = property;
+ return *this;
+ }
+
+private:
+ /// Initialize holder object, variant 1: object derives from enable_shared_from_this
+ template <typename T>
+ static void init_holder_helper(instance_type *inst, const holder_type * /* unused */, const std::enable_shared_from_this<T> * /* dummy */) {
+ try {
+ new (&inst->holder) holder_type(std::static_pointer_cast<typename holder_type::element_type>(inst->value->shared_from_this()));
+ inst->holder_constructed = true;
+ } catch (const std::bad_weak_ptr &) {
+ if (inst->owned) {
+ new (&inst->holder) holder_type(inst->value);
+ inst->holder_constructed = true;
+ }
+ }
+ }
+
+ /// Initialize holder object, variant 2: try to construct from existing holder object, if possible
+ template <typename T = holder_type,
+ detail::enable_if_t<std::is_copy_constructible<T>::value, int> = 0>
+ static void init_holder_helper(instance_type *inst, const holder_type *holder_ptr, const void * /* dummy */) {
+ if (holder_ptr) {
+ new (&inst->holder) holder_type(*holder_ptr);
+ inst->holder_constructed = true;
+ } else if (inst->owned) {
+ new (&inst->holder) holder_type(inst->value);
+ inst->holder_constructed = true;
+ }
+ }
+
+ /// Initialize holder object, variant 3: holder is not copy constructible (e.g. unique_ptr), always initialize from raw pointer
+ template <typename T = holder_type,
+ detail::enable_if_t<!std::is_copy_constructible<T>::value, int> = 0>
+ static void init_holder_helper(instance_type *inst, const holder_type * /* unused */, const void * /* dummy */) {
+ if (inst->owned) {
+ new (&inst->holder) holder_type(inst->value);
+ inst->holder_constructed = true;
+ }
+ }
+
+ /// Initialize holder object of an instance, possibly given a pointer to an existing holder
+ static void init_holder(PyObject *inst_, const void *holder_ptr) {
+ auto inst = (instance_type *) inst_;
+ init_holder_helper(inst, (const holder_type *) holder_ptr, inst->value);
+ }
+
+ static void dealloc(PyObject *inst_) {
+ instance_type *inst = (instance_type *) inst_;
+ if (inst->holder_constructed)
+ inst->holder.~holder_type();
+ else if (inst->owned)
+ ::operator delete(inst->value);
+
+ generic_type::dealloc((detail::instance<void> *) inst);
+ }
+
+ static detail::function_record *get_function_record(handle h) {
+ h = detail::get_function(h);
+ return h ? (detail::function_record *) reinterpret_borrow<capsule>(PyCFunction_GetSelf(h.ptr()))
+ : nullptr;
+ }
+};
+
+/// Binds C++ enumerations and enumeration classes to Python
+template <typename Type> class enum_ : public class_<Type> {
+public:
+ using class_<Type>::def;
+ using Scalar = typename std::underlying_type<Type>::type;
+ template <typename T> using arithmetic_tag = std::is_same<T, arithmetic>;
+
+ template <typename... Extra>
+ enum_(const handle &scope, const char *name, const Extra&... extra)
+ : class_<Type>(scope, name, extra...), m_parent(scope) {
+
+ constexpr bool is_arithmetic =
+ !std::is_same<detail::first_of_t<arithmetic_tag, void, Extra...>,
+ void>::value;
+
+ auto entries = new std::unordered_map<Scalar, const char *>();
+ def("__repr__", [name, entries](Type value) -> std::string {
+ auto it = entries->find((Scalar) value);
+ return std::string(name) + "." +
+ ((it == entries->end()) ? std::string("???")
+ : std::string(it->second));
+ });
+ def("__init__", [](Type& value, Scalar i) { value = (Type)i; });
+ def("__init__", [](Type& value, Scalar i) { new (&value) Type((Type) i); });
+ def("__int__", [](Type value) { return (Scalar) value; });
+ def("__eq__", [](const Type &value, Type *value2) { return value2 && value == *value2; });
+ def("__ne__", [](const Type &value, Type *value2) { return !value2 || value != *value2; });
+ if (is_arithmetic) {
+ def("__lt__", [](const Type &value, Type *value2) { return value2 && value < *value2; });
+ def("__gt__", [](const Type &value, Type *value2) { return value2 && value > *value2; });
+ def("__le__", [](const Type &value, Type *value2) { return value2 && value <= *value2; });
+ def("__ge__", [](const Type &value, Type *value2) { return value2 && value >= *value2; });
+ }
+ if (std::is_convertible<Type, Scalar>::value) {
+ // Don't provide comparison with the underlying type if the enum isn't convertible,
+ // i.e. if Type is a scoped enum, mirroring the C++ behaviour. (NB: we explicitly
+ // convert Type to Scalar below anyway because this needs to compile).
+ def("__eq__", [](const Type &value, Scalar value2) { return (Scalar) value == value2; });
+ def("__ne__", [](const Type &value, Scalar value2) { return (Scalar) value != value2; });
+ if (is_arithmetic) {
+ def("__lt__", [](const Type &value, Scalar value2) { return (Scalar) value < value2; });
+ def("__gt__", [](const Type &value, Scalar value2) { return (Scalar) value > value2; });
+ def("__le__", [](const Type &value, Scalar value2) { return (Scalar) value <= value2; });
+ def("__ge__", [](const Type &value, Scalar value2) { return (Scalar) value >= value2; });
+ def("__invert__", [](const Type &value) { return ~((Scalar) value); });
+ def("__and__", [](const Type &value, Scalar value2) { return (Scalar) value & value2; });
+ def("__or__", [](const Type &value, Scalar value2) { return (Scalar) value | value2; });
+ def("__xor__", [](const Type &value, Scalar value2) { return (Scalar) value ^ value2; });
+ def("__rand__", [](const Type &value, Scalar value2) { return (Scalar) value & value2; });
+ def("__ror__", [](const Type &value, Scalar value2) { return (Scalar) value | value2; });
+ def("__rxor__", [](const Type &value, Scalar value2) { return (Scalar) value ^ value2; });
+ def("__and__", [](const Type &value, const Type &value2) { return (Scalar) value & (Scalar) value2; });
+ def("__or__", [](const Type &value, const Type &value2) { return (Scalar) value | (Scalar) value2; });
+ def("__xor__", [](const Type &value, const Type &value2) { return (Scalar) value ^ (Scalar) value2; });
+ }
+ }
+ def("__hash__", [](const Type &value) { return (Scalar) value; });
+ // Pickling and unpickling -- needed for use with the 'multiprocessing' module
+ def("__getstate__", [](const Type &value) { return pybind11::make_tuple((Scalar) value); });
+ def("__setstate__", [](Type &p, tuple t) { new (&p) Type((Type) t[0].cast<Scalar>()); });
+ m_entries = entries;
+ }
+
+ /// Export enumeration entries into the parent scope
+ enum_ &export_values() {
+ PyObject *dict = ((PyTypeObject *) this->m_ptr)->tp_dict;
+ PyObject *key, *value;
+ ssize_t pos = 0;
+ while (PyDict_Next(dict, &pos, &key, &value))
+ if (PyObject_IsInstance(value, this->m_ptr))
+ m_parent.attr(key) = value;
+ return *this;
+ }
+
+ /// Add an enumeration entry
+ enum_& value(char const* name, Type value) {
+ this->attr(name) = pybind11::cast(value, return_value_policy::copy);
+ (*m_entries)[(Scalar) value] = name;
+ return *this;
+ }
+private:
+ std::unordered_map<Scalar, const char *> *m_entries;
+ handle m_parent;
+};
+
+NAMESPACE_BEGIN(detail)
+template <typename... Args> struct init {
+ template <typename Class, typename... Extra, enable_if_t<!Class::has_alias, int> = 0>
+ static void execute(Class &cl, const Extra&... extra) {
+ using Base = typename Class::type;
+ /// Function which calls a specific C++ in-place constructor
+ cl.def("__init__", [](Base *self_, Args... args) { new (self_) Base(args...); }, extra...);
+ }
+
+ template <typename Class, typename... Extra,
+ enable_if_t<Class::has_alias &&
+ std::is_constructible<typename Class::type, Args...>::value, int> = 0>
+ static void execute(Class &cl, const Extra&... extra) {
+ using Base = typename Class::type;
+ using Alias = typename Class::type_alias;
+ handle cl_type = cl;
+ cl.def("__init__", [cl_type](handle self_, Args... args) {
+ if (self_.get_type() == cl_type)
+ new (self_.cast<Base *>()) Base(args...);
+ else
+ new (self_.cast<Alias *>()) Alias(args...);
+ }, extra...);
+ }
+
+ template <typename Class, typename... Extra,
+ enable_if_t<Class::has_alias &&
+ !std::is_constructible<typename Class::type, Args...>::value, int> = 0>
+ static void execute(Class &cl, const Extra&... extra) {
+ init_alias<Args...>::execute(cl, extra...);
+ }
+};
+template <typename... Args> struct init_alias {
+ template <typename Class, typename... Extra,
+ enable_if_t<Class::has_alias && std::is_constructible<typename Class::type_alias, Args...>::value, int> = 0>
+ static void execute(Class &cl, const Extra&... extra) {
+ using Alias = typename Class::type_alias;
+ cl.def("__init__", [](Alias *self_, Args... args) { new (self_) Alias(args...); }, extra...);
+ }
+};
+
+
+inline void keep_alive_impl(handle nurse, handle patient) {
+ /* Clever approach based on weak references taken from Boost.Python */
+ if (!nurse || !patient)
+ pybind11_fail("Could not activate keep_alive!");
+
+ if (patient.is_none() || nurse.is_none())
+ return; /* Nothing to keep alive or nothing to be kept alive by */
+
+ cpp_function disable_lifesupport(
+ [patient](handle weakref) { patient.dec_ref(); weakref.dec_ref(); });
+
+ weakref wr(nurse, disable_lifesupport);
+
+ patient.inc_ref(); /* reference patient and leak the weak reference */
+ (void) wr.release();
+}
+
+PYBIND11_NOINLINE inline void keep_alive_impl(int Nurse, int Patient, handle args, handle ret) {
+ handle nurse (Nurse > 0 ? PyTuple_GetItem(args.ptr(), Nurse - 1) : ret.ptr());
+ handle patient(Patient > 0 ? PyTuple_GetItem(args.ptr(), Patient - 1) : ret.ptr());
+
+ keep_alive_impl(nurse, patient);
+}
+
+template <typename Iterator, typename Sentinel, bool KeyIterator, return_value_policy Policy>
+struct iterator_state {
+ Iterator it;
+ Sentinel end;
+ bool first;
+};
+
+NAMESPACE_END(detail)
+
+template <typename... Args> detail::init<Args...> init() { return detail::init<Args...>(); }
+template <typename... Args> detail::init_alias<Args...> init_alias() { return detail::init_alias<Args...>(); }
+
+template <return_value_policy Policy = return_value_policy::reference_internal,
+ typename Iterator,
+ typename Sentinel,
+ typename ValueType = decltype(*std::declval<Iterator>()),
+ typename... Extra>
+iterator make_iterator(Iterator first, Sentinel last, Extra &&... extra) {
+ typedef detail::iterator_state<Iterator, Sentinel, false, Policy> state;
+
+ if (!detail::get_type_info(typeid(state), false)) {
+ class_<state>(handle(), "iterator")
+ .def("__iter__", [](state &s) -> state& { return s; })
+ .def("__next__", [](state &s) -> ValueType {
+ if (!s.first)
+ ++s.it;
+ else
+ s.first = false;
+ if (s.it == s.end)
+ throw stop_iteration();
+ return *s.it;
+ }, std::forward<Extra>(extra)..., Policy);
+ }
+
+ return (iterator) cast(state { first, last, true });
+}
+
+template <return_value_policy Policy = return_value_policy::reference_internal,
+ typename Iterator,
+ typename Sentinel,
+ typename KeyType = decltype((*std::declval<Iterator>()).first),
+ typename... Extra>
+iterator make_key_iterator(Iterator first, Sentinel last, Extra &&... extra) {
+ typedef detail::iterator_state<Iterator, Sentinel, true, Policy> state;
+
+ if (!detail::get_type_info(typeid(state), false)) {
+ class_<state>(handle(), "iterator")
+ .def("__iter__", [](state &s) -> state& { return s; })
+ .def("__next__", [](state &s) -> KeyType {
+ if (!s.first)
+ ++s.it;
+ else
+ s.first = false;
+ if (s.it == s.end)
+ throw stop_iteration();
+ return (*s.it).first;
+ }, std::forward<Extra>(extra)..., Policy);
+ }
+
+ return (iterator) cast(state { first, last, true });
+}
+
+template <return_value_policy Policy = return_value_policy::reference_internal,
+ typename Type, typename... Extra> iterator make_iterator(Type &value, Extra&&... extra) {
+ return make_iterator<Policy>(std::begin(value), std::end(value), extra...);
+}
+
+template <return_value_policy Policy = return_value_policy::reference_internal,
+ typename Type, typename... Extra> iterator make_key_iterator(Type &value, Extra&&... extra) {
+ return make_key_iterator<Policy>(std::begin(value), std::end(value), extra...);
+}
+
+template <typename InputType, typename OutputType> void implicitly_convertible() {
+ auto implicit_caster = [](PyObject *obj, PyTypeObject *type) -> PyObject * {
+ if (!detail::type_caster<InputType>().load(obj, false))
+ return nullptr;
+ tuple args(1);
+ args[0] = obj;
+ PyObject *result = PyObject_Call((PyObject *) type, args.ptr(), nullptr);
+ if (result == nullptr)
+ PyErr_Clear();
+ return result;
+ };
+
+ if (auto tinfo = detail::get_type_info(typeid(OutputType)))
+ tinfo->implicit_conversions.push_back(implicit_caster);
+ else
+ pybind11_fail("implicitly_convertible: Unable to find type " + type_id<OutputType>());
+}
+
+template <typename ExceptionTranslator>
+void register_exception_translator(ExceptionTranslator&& translator) {
+ detail::get_internals().registered_exception_translators.push_front(
+ std::forward<ExceptionTranslator>(translator));
+}
+
+/* Wrapper to generate a new Python exception type.
+ *
+ * This should only be used with PyErr_SetString for now.
+ * It is not (yet) possible to use as a py::base.
+ * Template type argument is reserved for future use.
+ */
+template <typename type>
+class exception : public object {
+public:
+ exception(handle scope, const char *name, PyObject *base = PyExc_Exception) {
+ std::string full_name = scope.attr("__name__").cast<std::string>() +
+ std::string(".") + name;
+ m_ptr = PyErr_NewException((char *) full_name.c_str(), base, NULL);
+ if (hasattr(scope, name))
+ pybind11_fail("Error during initialization: multiple incompatible "
+ "definitions with name \"" + std::string(name) + "\"");
+ scope.attr(name) = *this;
+ }
+
+ // Sets the current python exception to this exception object with the given message
+ void operator()(const char *message) {
+ PyErr_SetString(m_ptr, message);
+ }
+};
+
+/** Registers a Python exception in `m` of the given `name` and installs an exception translator to
+ * translate the C++ exception to the created Python exception using the exceptions what() method.
+ * This is intended for simple exception translations; for more complex translation, register the
+ * exception object and translator directly.
+ */
+template <typename CppException>
+exception<CppException> ®ister_exception(handle scope,
+ const char *name,
+ PyObject *base = PyExc_Exception) {
+ static exception<CppException> ex(scope, name, base);
+ register_exception_translator([](std::exception_ptr p) {
+ if (!p) return;
+ try {
+ std::rethrow_exception(p);
+ } catch (const CppException &e) {
+ ex(e.what());
+ }
+ });
+ return ex;
+}
+
+NAMESPACE_BEGIN(detail)
+PYBIND11_NOINLINE inline void print(tuple args, dict kwargs) {
+ auto strings = tuple(args.size());
+ for (size_t i = 0; i < args.size(); ++i) {
+ strings[i] = str(args[i]);
+ }
+ auto sep = kwargs.contains("sep") ? kwargs["sep"] : cast(" ");
+ auto line = sep.attr("join")(strings);
+
+ object file;
+ if (kwargs.contains("file")) {
+ file = kwargs["file"].cast<object>();
+ } else {
+ try {
+ file = module::import("sys").attr("stdout");
+ } catch (const error_already_set &) {
+ /* If print() is called from code that is executed as
+ part of garbage collection during interpreter shutdown,
+ importing 'sys' can fail. Give up rather than crashing the
+ interpreter in this case. */
+ return;
+ }
+ }
+
+ auto write = file.attr("write");
+ write(line);
+ write(kwargs.contains("end") ? kwargs["end"] : cast("\n"));
+
+ if (kwargs.contains("flush") && kwargs["flush"].cast<bool>())
+ file.attr("flush")();
+}
+NAMESPACE_END(detail)
+
+template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
+void print(Args &&...args) {
+ auto c = detail::collect_arguments<policy>(std::forward<Args>(args)...);
+ detail::print(c.args(), c.kwargs());
+}
+
+#if defined(WITH_THREAD)
+
+/* The functions below essentially reproduce the PyGILState_* API using a RAII
+ * pattern, but there are a few important differences:
+ *
+ * 1. When acquiring the GIL from an non-main thread during the finalization
+ * phase, the GILState API blindly terminates the calling thread, which
+ * is often not what is wanted. This API does not do this.
+ *
+ * 2. The gil_scoped_release function can optionally cut the relationship
+ * of a PyThreadState and its associated thread, which allows moving it to
+ * another thread (this is a fairly rare/advanced use case).
+ *
+ * 3. The reference count of an acquired thread state can be controlled. This
+ * can be handy to prevent cases where callbacks issued from an external
+ * thread would otherwise constantly construct and destroy thread state data
+ * structures.
+ *
+ * See the Python bindings of NanoGUI (http://github.com/wjakob/nanogui) for an
+ * example which uses features 2 and 3 to migrate the Python thread of
+ * execution to another thread (to run the event loop on the original thread,
+ * in this case).
+ */
+
+class gil_scoped_acquire {
+public:
+ PYBIND11_NOINLINE gil_scoped_acquire() {
+ auto const &internals = detail::get_internals();
+ tstate = (PyThreadState *) PyThread_get_key_value(internals.tstate);
+
+ if (!tstate) {
+ tstate = PyThreadState_New(internals.istate);
+ #if !defined(NDEBUG)
+ if (!tstate)
+ pybind11_fail("scoped_acquire: could not create thread state!");
+ #endif
+ tstate->gilstate_counter = 0;
+ #if PY_MAJOR_VERSION < 3
+ PyThread_delete_key_value(internals.tstate);
+ #endif
+ PyThread_set_key_value(internals.tstate, tstate);
+ } else {
+ release = detail::get_thread_state_unchecked() != tstate;
+ }
+
+ if (release) {
+ /* Work around an annoying assertion in PyThreadState_Swap */
+ #if defined(Py_DEBUG)
+ PyInterpreterState *interp = tstate->interp;
+ tstate->interp = nullptr;
+ #endif
+ PyEval_AcquireThread(tstate);
+ #if defined(Py_DEBUG)
+ tstate->interp = interp;
+ #endif
+ }
+
+ inc_ref();
+ }
+
+ void inc_ref() {
+ ++tstate->gilstate_counter;
+ }
+
+ PYBIND11_NOINLINE void dec_ref() {
+ --tstate->gilstate_counter;
+ #if !defined(NDEBUG)
+ if (detail::get_thread_state_unchecked() != tstate)
+ pybind11_fail("scoped_acquire::dec_ref(): thread state must be current!");
+ if (tstate->gilstate_counter < 0)
+ pybind11_fail("scoped_acquire::dec_ref(): reference count underflow!");
+ #endif
+ if (tstate->gilstate_counter == 0) {
+ #if !defined(NDEBUG)
+ if (!release)
+ pybind11_fail("scoped_acquire::dec_ref(): internal error!");
+ #endif
+ PyThreadState_Clear(tstate);
+ PyThreadState_DeleteCurrent();
+ PyThread_delete_key_value(detail::get_internals().tstate);
+ release = false;
+ }
+ }
+
+ PYBIND11_NOINLINE ~gil_scoped_acquire() {
+ dec_ref();
+ if (release)
+ PyEval_SaveThread();
+ }
+private:
+ PyThreadState *tstate = nullptr;
+ bool release = true;
+};
+
+class gil_scoped_release {
+public:
+ explicit gil_scoped_release(bool disassoc = false) : disassoc(disassoc) {
+ tstate = PyEval_SaveThread();
+ if (disassoc) {
+ auto key = detail::get_internals().tstate;
+ #if PY_MAJOR_VERSION < 3
+ PyThread_delete_key_value(key);
+ #else
+ PyThread_set_key_value(key, nullptr);
+ #endif
+ }
+ }
+ ~gil_scoped_release() {
+ if (!tstate)
+ return;
+ PyEval_RestoreThread(tstate);
+ if (disassoc) {
+ auto key = detail::get_internals().tstate;
+ #if PY_MAJOR_VERSION < 3
+ PyThread_delete_key_value(key);
+ #endif
+ PyThread_set_key_value(key, tstate);
+ }
+ }
+private:
+ PyThreadState *tstate;
+ bool disassoc;
+};
+#else
+class gil_scoped_acquire { };
+class gil_scoped_release { };
+#endif
+
+error_already_set::~error_already_set() {
+ if (value) {
+ gil_scoped_acquire gil;
+ PyErr_Restore(type, value, trace);
+ PyErr_Clear();
+ }
+}
+
+inline function get_type_overload(const void *this_ptr, const detail::type_info *this_type, const char *name) {
+ handle py_object = detail::get_object_handle(this_ptr, this_type);
+ if (!py_object)
+ return function();
+ handle type = py_object.get_type();
+ auto key = std::make_pair(type.ptr(), name);
+
+ /* Cache functions that aren't overloaded in Python to avoid
+ many costly Python dictionary lookups below */
+ auto &cache = detail::get_internals().inactive_overload_cache;
+ if (cache.find(key) != cache.end())
+ return function();
+
+ function overload = getattr(py_object, name, function());
+ if (overload.is_cpp_function()) {
+ cache.insert(key);
+ return function();
+ }
+
+ /* Don't call dispatch code if invoked from overridden function */
+ PyFrameObject *frame = PyThreadState_Get()->frame;
+ if (frame && (std::string) str(frame->f_code->co_name) == name &&
+ frame->f_code->co_argcount > 0) {
+ PyFrame_FastToLocals(frame);
+ PyObject *self_caller = PyDict_GetItem(
+ frame->f_locals, PyTuple_GET_ITEM(frame->f_code->co_varnames, 0));
+ if (self_caller == py_object.ptr())
+ return function();
+ }
+ return overload;
+}
+
+template <class T> function get_overload(const T *this_ptr, const char *name) {
+ auto tinfo = detail::get_type_info(typeid(T));
+ return tinfo ? get_type_overload(this_ptr, tinfo, name) : function();
+}
+
+#define PYBIND11_OVERLOAD_INT(ret_type, cname, name, ...) { \
+ pybind11::gil_scoped_acquire gil; \
+ pybind11::function overload = pybind11::get_overload(static_cast<const cname *>(this), name); \
+ if (overload) { \
+ auto o = overload(__VA_ARGS__); \
+ if (pybind11::detail::cast_is_temporary_value_reference<ret_type>::value) { \
+ static pybind11::detail::overload_caster_t<ret_type> caster; \
+ return pybind11::detail::cast_ref<ret_type>(std::move(o), caster); \
+ } \
+ else return pybind11::detail::cast_safe<ret_type>(std::move(o)); \
+ } \
+ }
+
+#define PYBIND11_OVERLOAD_NAME(ret_type, cname, name, fn, ...) \
+ PYBIND11_OVERLOAD_INT(ret_type, cname, name, __VA_ARGS__) \
+ return cname::fn(__VA_ARGS__)
+
+#define PYBIND11_OVERLOAD_PURE_NAME(ret_type, cname, name, fn, ...) \
+ PYBIND11_OVERLOAD_INT(ret_type, cname, name, __VA_ARGS__) \
+ pybind11::pybind11_fail("Tried to call pure virtual function \"" #cname "::" name "\"");
+
+#define PYBIND11_OVERLOAD(ret_type, cname, fn, ...) \
+ PYBIND11_OVERLOAD_NAME(ret_type, cname, #fn, fn, __VA_ARGS__)
+
+#define PYBIND11_OVERLOAD_PURE(ret_type, cname, fn, ...) \
+ PYBIND11_OVERLOAD_PURE_NAME(ret_type, cname, #fn, fn, __VA_ARGS__)
+
+NAMESPACE_END(pybind11)
+
+#if defined(_MSC_VER)
+# pragma warning(pop)
+#elif defined(__INTEL_COMPILER)
+/* Leave ignored warnings on */
+#elif defined(__GNUG__) && !defined(__clang__)
+# pragma GCC diagnostic pop
+#endif
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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
--- /dev/null
+/*
+ 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)
--- /dev/null
+/*
+ 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)
--- /dev/null
+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'
--- /dev/null
+version_info = (1, 9, 'dev0')
+__version__ = '.'.join(map(str, version_info))
--- /dev/null
+[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
--- /dev/null
+#!/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.""")
--- /dev/null
+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)
--- /dev/null
+"""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()
--- /dev/null
+#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...);
+}
+
--- /dev/null
+#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 */
--- /dev/null
+/*
+ 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();
+}
--- /dev/null
+#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);
+};
--- /dev/null
+/*
+ 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(); });
+
+});
+
--- /dev/null
+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()
+ """
--- /dev/null
+/*
+ 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) }
+ );
+ })
+ ;
+});
--- /dev/null
+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
--- /dev/null
+/*
+ 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>);
+});
--- /dev/null
+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]"
--- /dev/null
+/*
+ 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);
+});
--- /dev/null
+
+
+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
--- /dev/null
+/*
+ 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", []() {});
+});
--- /dev/null
+
+
+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()
--- /dev/null
+/*
+ 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);
+});
--- /dev/null
+
+
+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]"
--- /dev/null
+/*
+ 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);
+});
--- /dev/null
+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)
--- /dev/null
+/*
+ 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")
+ ;
+ }
+});
--- /dev/null
+
+
+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__
--- /dev/null
+/*
+ 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;
+ });
+});
--- /dev/null
+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
--- /dev/null
+/*
+ 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();
+});
--- /dev/null
+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
--- /dev/null
+/*
+ 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;
+ });
+});
--- /dev/null
+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()
--- /dev/null
+# This file is called from 'test_eval.py'
+
+if 'call_test2' in locals():
+ call_test2(y) # noqa: F821 undefined name
--- /dev/null
+/*
+ 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;
+ });
+});
--- /dev/null
+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"
--- /dev/null
+/*
+ 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])
+ );
+ });
+});
--- /dev/null
+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
--- /dev/null
+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)
--- /dev/null
+#include <pybind11/pybind11.h>
+namespace py = pybind11;
+
+PYBIND11_PLUGIN(test_installed_module) {
+ py::module m("test_installed_module");
+
+ m.def("add", [](int i, int j) { return i + j; });
+
+ return m.ptr();
+}
--- /dev/null
+import test_installed_module
+assert test_installed_module.add(11, 22) == 33
+print('test_installed_module imports, runs, and adds: 11 + 22 = 33')
--- /dev/null
+cmake_minimum_required(VERSION 3.0)
+project(test_installed_target 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 ${PYTHON_VERSION_STRING})")
+
+add_library(test_installed_target MODULE main.cpp)
+
+target_link_libraries(test_installed_target PRIVATE pybind11::pybind11)
+
+# make sure result is, for example, test_installed_target.so, not libtest_installed_target.dylib
+set_target_properties(test_installed_target PROPERTIES PREFIX "${PYTHON_MODULE_PREFIX}"
+ SUFFIX "${PYTHON_MODULE_EXTENSION}")
+
+add_custom_target(check ${CMAKE_COMMAND} -E env PYTHONPATH=$<TARGET_FILE_DIR:test_installed_target>
+ ${PYTHON_EXECUTABLE} ${PROJECT_SOURCE_DIR}/test.py)
--- /dev/null
+#include <pybind11/pybind11.h>
+namespace py = pybind11;
+
+PYBIND11_PLUGIN(test_installed_target) {
+ py::module m("test_installed_target");
+
+ m.def("add", [](int i, int j) { return i + j; });
+
+ return m.ptr();
+}
--- /dev/null
+import test_installed_target
+assert test_installed_target.add(1, 2) == 3
+print('test_installed_target imports, runs, and adds: 1 + 2 = 3')
--- /dev/null
+/*
+ tests/test_issues.cpp -- collection of testcases for miscellaneous issues
+
+ 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/stl.h>
+#include <pybind11/operators.h>
+#include <pybind11/complex.h>
+
+#define TRACKERS(CLASS) CLASS() { print_default_created(this); } ~CLASS() { print_destroyed(this); }
+struct NestABase { int value = -2; TRACKERS(NestABase) };
+struct NestA : NestABase { int value = 3; NestA& operator+=(int i) { value += i; return *this; } TRACKERS(NestA) };
+struct NestB { NestA a; int value = 4; NestB& operator-=(int i) { value -= i; return *this; } TRACKERS(NestB) };
+struct NestC { NestB b; int value = 5; NestC& operator*=(int i) { value *= i; return *this; } TRACKERS(NestC) };
+
+/// #393
+class OpTest1 {};
+class OpTest2 {};
+
+OpTest1 operator+(const OpTest1 &, const OpTest1 &) {
+ py::print("Add OpTest1 with OpTest1");
+ return OpTest1();
+}
+OpTest2 operator+(const OpTest2 &, const OpTest2 &) {
+ py::print("Add OpTest2 with OpTest2");
+ return OpTest2();
+}
+OpTest2 operator+(const OpTest2 &, const OpTest1 &) {
+ py::print("Add OpTest2 with OpTest1");
+ return OpTest2();
+}
+
+// #461
+class Dupe1 {
+public:
+ Dupe1(int v) : v_{v} {}
+ int get_value() const { return v_; }
+private:
+ int v_;
+};
+class Dupe2 {};
+class Dupe3 {};
+class DupeException : public std::runtime_error {};
+
+// #478
+template <typename T> class custom_unique_ptr {
+public:
+ custom_unique_ptr() { print_default_created(this); }
+ custom_unique_ptr(T *ptr) : _ptr{ptr} { print_created(this, ptr); }
+ custom_unique_ptr(custom_unique_ptr<T> &&move) : _ptr{move._ptr} { move._ptr = nullptr; print_move_created(this); }
+ custom_unique_ptr &operator=(custom_unique_ptr<T> &&move) { print_move_assigned(this); if (_ptr) destruct_ptr(); _ptr = move._ptr; move._ptr = nullptr; return *this; }
+ custom_unique_ptr(const custom_unique_ptr<T> &) = delete;
+ void operator=(const custom_unique_ptr<T> ©) = delete;
+ ~custom_unique_ptr() { print_destroyed(this); if (_ptr) destruct_ptr(); }
+private:
+ T *_ptr = nullptr;
+ void destruct_ptr() { delete _ptr; }
+};
+PYBIND11_DECLARE_HOLDER_TYPE(T, custom_unique_ptr<T>);
+
+/// Issue #528: templated constructor
+struct TplConstrClass {
+ template <typename T> TplConstrClass(const T &arg) : str{arg} {}
+ std::string str;
+ bool operator==(const TplConstrClass &t) const { return t.str == str; }
+};
+namespace std {
+template <> struct hash<TplConstrClass> { size_t operator()(const TplConstrClass &t) const { return std::hash<std::string>()(t.str); } };
+}
+
+
+void init_issues(py::module &m) {
+ py::module m2 = m.def_submodule("issues");
+
+#if !defined(_MSC_VER)
+ // Visual Studio 2015 currently cannot compile this test
+ // (see the comment in type_caster_base::make_copy_constructor)
+ // #70 compilation issue if operator new is not public
+ class NonConstructible { private: void *operator new(size_t bytes) throw(); };
+ py::class_<NonConstructible>(m, "Foo");
+ m2.def("getstmt", []() -> NonConstructible * { return nullptr; },
+ py::return_value_policy::reference);
+#endif
+
+ // #137: const char* isn't handled properly
+ m2.def("print_cchar", [](const char *s) { return std::string(s); });
+
+ // #150: char bindings broken
+ m2.def("print_char", [](char c) { return std::string(1, c); });
+
+ // #159: virtual function dispatch has problems with similar-named functions
+ struct Base { virtual std::string dispatch() const {
+ /* for some reason MSVC2015 can't compile this if the function is pure virtual */
+ return {};
+ }; };
+
+ struct DispatchIssue : Base {
+ virtual std::string dispatch() const {
+ PYBIND11_OVERLOAD_PURE(std::string, Base, dispatch, /* no arguments */);
+ }
+ };
+
+ py::class_<Base, DispatchIssue>(m2, "DispatchIssue")
+ .def(py::init<>())
+ .def("dispatch", &Base::dispatch);
+
+ m2.def("dispatch_issue_go", [](const Base * b) { return b->dispatch(); });
+
+ struct Placeholder { int i; Placeholder(int i) : i(i) { } };
+
+ py::class_<Placeholder>(m2, "Placeholder")
+ .def(py::init<int>())
+ .def("__repr__", [](const Placeholder &p) { return "Placeholder[" + std::to_string(p.i) + "]"; });
+
+ // #171: Can't return reference wrappers (or STL datastructures containing them)
+ m2.def("return_vec_of_reference_wrapper", [](std::reference_wrapper<Placeholder> p4) {
+ Placeholder *p1 = new Placeholder{1};
+ Placeholder *p2 = new Placeholder{2};
+ Placeholder *p3 = new Placeholder{3};
+ std::vector<std::reference_wrapper<Placeholder>> v;
+ v.push_back(std::ref(*p1));
+ v.push_back(std::ref(*p2));
+ v.push_back(std::ref(*p3));
+ v.push_back(p4);
+ return v;
+ });
+
+ // #181: iterator passthrough did not compile
+ m2.def("iterator_passthrough", [](py::iterator s) -> py::iterator {
+ return py::make_iterator(std::begin(s), std::end(s));
+ });
+
+ // #187: issue involving std::shared_ptr<> return value policy & garbage collection
+ struct ElementBase { virtual void foo() { } /* Force creation of virtual table */ };
+ struct ElementA : ElementBase {
+ ElementA(int v) : v(v) { }
+ int value() { return v; }
+ int v;
+ };
+
+ struct ElementList {
+ void add(std::shared_ptr<ElementBase> e) { l.push_back(e); }
+ std::vector<std::shared_ptr<ElementBase>> l;
+ };
+
+ py::class_<ElementBase, std::shared_ptr<ElementBase>> (m2, "ElementBase");
+
+ py::class_<ElementA, ElementBase, std::shared_ptr<ElementA>>(m2, "ElementA")
+ .def(py::init<int>())
+ .def("value", &ElementA::value);
+
+ py::class_<ElementList, std::shared_ptr<ElementList>>(m2, "ElementList")
+ .def(py::init<>())
+ .def("add", &ElementList::add)
+ .def("get", [](ElementList &el) {
+ py::list list;
+ for (auto &e : el.l)
+ list.append(py::cast(e));
+ return list;
+ });
+
+ // (no id): should not be able to pass 'None' to a reference argument
+ m2.def("get_element", [](ElementA &el) { return el.value(); });
+
+ // (no id): don't cast doubles to ints
+ m2.def("expect_float", [](float f) { return f; });
+ m2.def("expect_int", [](int i) { return i; });
+
+ try {
+ py::class_<Placeholder>(m2, "Placeholder");
+ throw std::logic_error("Expected an exception!");
+ } catch (std::runtime_error &) {
+ /* All good */
+ }
+
+ // Issue #283: __str__ called on uninitialized instance when constructor arguments invalid
+ class StrIssue {
+ public:
+ StrIssue(int i) : val{i} {}
+ StrIssue() : StrIssue(-1) {}
+ int value() const { return val; }
+ private:
+ int val;
+ };
+ py::class_<StrIssue> si(m2, "StrIssue");
+ si .def(py::init<int>())
+ .def(py::init<>())
+ .def("__str__", [](const StrIssue &si) { return "StrIssue[" + std::to_string(si.value()) + "]"; })
+ ;
+
+ // Issue #328: first member in a class can't be used in operators
+ py::class_<NestABase>(m2, "NestABase").def(py::init<>()).def_readwrite("value", &NestABase::value);
+ py::class_<NestA>(m2, "NestA").def(py::init<>()).def(py::self += int())
+ .def("as_base", [](NestA &a) -> NestABase& { return (NestABase&) a; }, py::return_value_policy::reference_internal);
+ py::class_<NestB>(m2, "NestB").def(py::init<>()).def(py::self -= int()).def_readwrite("a", &NestB::a);
+ py::class_<NestC>(m2, "NestC").def(py::init<>()).def(py::self *= int()).def_readwrite("b", &NestC::b);
+ m2.def("get_NestA", [](const NestA &a) { return a.value; });
+ m2.def("get_NestB", [](const NestB &b) { return b.value; });
+ m2.def("get_NestC", [](const NestC &c) { return c.value; });
+
+ // Issue 389: r_v_p::move should fall-through to copy on non-movable objects
+ class MoveIssue1 {
+ public:
+ MoveIssue1(int v) : v{v} {}
+ MoveIssue1(const MoveIssue1 &c) { v = c.v; }
+ MoveIssue1(MoveIssue1 &&) = delete;
+ int v;
+ };
+ class MoveIssue2 {
+ public:
+ MoveIssue2(int v) : v{v} {}
+ MoveIssue2(MoveIssue2 &&) = default;
+ int v;
+ };
+ py::class_<MoveIssue1>(m2, "MoveIssue1").def(py::init<int>()).def_readwrite("value", &MoveIssue1::v);
+ py::class_<MoveIssue2>(m2, "MoveIssue2").def(py::init<int>()).def_readwrite("value", &MoveIssue2::v);
+ m2.def("get_moveissue1", [](int i) -> MoveIssue1 * { return new MoveIssue1(i); }, py::return_value_policy::move);
+ m2.def("get_moveissue2", [](int i) { return MoveIssue2(i); }, py::return_value_policy::move);
+
+ // Issues 392/397: overridding reference-returning functions
+ class OverrideTest {
+ public:
+ struct A { std::string value = "hi"; };
+ std::string v;
+ A a;
+ explicit OverrideTest(const std::string &v) : v{v} {}
+ virtual std::string str_value() { return v; }
+ virtual std::string &str_ref() { return v; }
+ virtual A A_value() { return a; }
+ virtual A &A_ref() { return a; }
+ };
+ class PyOverrideTest : public OverrideTest {
+ public:
+ using OverrideTest::OverrideTest;
+ std::string str_value() override { PYBIND11_OVERLOAD(std::string, OverrideTest, str_value); }
+ // Not allowed (uncommenting should hit a static_assert failure): we can't get a reference
+ // to a python numeric value, since we only copy values in the numeric type caster:
+// std::string &str_ref() override { PYBIND11_OVERLOAD(std::string &, OverrideTest, str_ref); }
+ // But we can work around it like this:
+ private:
+ std::string _tmp;
+ std::string str_ref_helper() { PYBIND11_OVERLOAD(std::string, OverrideTest, str_ref); }
+ public:
+ std::string &str_ref() override { return _tmp = str_ref_helper(); }
+
+ A A_value() override { PYBIND11_OVERLOAD(A, OverrideTest, A_value); }
+ A &A_ref() override { PYBIND11_OVERLOAD(A &, OverrideTest, A_ref); }
+ };
+ py::class_<OverrideTest::A>(m2, "OverrideTest_A")
+ .def_readwrite("value", &OverrideTest::A::value);
+ py::class_<OverrideTest, PyOverrideTest>(m2, "OverrideTest")
+ .def(py::init<const std::string &>())
+ .def("str_value", &OverrideTest::str_value)
+// .def("str_ref", &OverrideTest::str_ref)
+ .def("A_value", &OverrideTest::A_value)
+ .def("A_ref", &OverrideTest::A_ref);
+
+ /// Issue 393: need to return NotSupported to ensure correct arithmetic operator behavior
+ py::class_<OpTest1>(m2, "OpTest1")
+ .def(py::init<>())
+ .def(py::self + py::self);
+
+ py::class_<OpTest2>(m2, "OpTest2")
+ .def(py::init<>())
+ .def(py::self + py::self)
+ .def("__add__", [](const OpTest2& c2, const OpTest1& c1) { return c2 + c1; })
+ .def("__radd__", [](const OpTest2& c2, const OpTest1& c1) { return c2 + c1; });
+
+ // Issue 388: Can't make iterators via make_iterator() with different r/v policies
+ static std::vector<int> list = { 1, 2, 3 };
+ m2.def("make_iterator_1", []() { return py::make_iterator<py::return_value_policy::copy>(list); });
+ m2.def("make_iterator_2", []() { return py::make_iterator<py::return_value_policy::automatic>(list); });
+
+ static std::vector<std::string> nothrows;
+ // Issue 461: registering two things with the same name:
+ py::class_<Dupe1>(m2, "Dupe1")
+ .def("get_value", &Dupe1::get_value)
+ ;
+ m2.def("dupe1_factory", [](int v) { return new Dupe1(v); });
+
+ py::class_<Dupe2>(m2, "Dupe2");
+ py::exception<DupeException>(m2, "DupeException");
+
+ try {
+ m2.def("Dupe1", [](int v) { return new Dupe1(v); });
+ nothrows.emplace_back("Dupe1");
+ }
+ catch (std::runtime_error &) {}
+ try {
+ py::class_<Dupe3>(m2, "dupe1_factory");
+ nothrows.emplace_back("dupe1_factory");
+ }
+ catch (std::runtime_error &) {}
+ try {
+ py::exception<Dupe3>(m2, "Dupe2");
+ nothrows.emplace_back("Dupe2");
+ }
+ catch (std::runtime_error &) {}
+ try {
+ m2.def("DupeException", []() { return 30; });
+ nothrows.emplace_back("DupeException1");
+ }
+ catch (std::runtime_error &) {}
+ try {
+ py::class_<DupeException>(m2, "DupeException");
+ nothrows.emplace_back("DupeException2");
+ }
+ catch (std::runtime_error &) {}
+ m2.def("dupe_exception_failures", []() {
+ py::list l;
+ for (auto &e : nothrows) l.append(py::cast(e));
+ return l;
+ });
+
+ /// Issue #471: shared pointer instance not dellocated
+ class SharedChild : public std::enable_shared_from_this<SharedChild> {
+ public:
+ SharedChild() { print_created(this); }
+ ~SharedChild() { print_destroyed(this); }
+ };
+
+ class SharedParent {
+ public:
+ SharedParent() : child(std::make_shared<SharedChild>()) { }
+ const SharedChild &get_child() const { return *child; }
+
+ private:
+ std::shared_ptr<SharedChild> child;
+ };
+
+ py::class_<SharedChild, std::shared_ptr<SharedChild>>(m, "SharedChild");
+ py::class_<SharedParent, std::shared_ptr<SharedParent>>(m, "SharedParent")
+ .def(py::init<>())
+ .def("get_child", &SharedParent::get_child, py::return_value_policy::reference);
+
+ /// Issue/PR #478: unique ptrs constructed and freed without destruction
+ class SpecialHolderObj {
+ public:
+ int val = 0;
+ SpecialHolderObj *ch = nullptr;
+ SpecialHolderObj(int v, bool make_child = true) : val{v}, ch{make_child ? new SpecialHolderObj(val+1, false) : nullptr}
+ { print_created(this, val); }
+ ~SpecialHolderObj() { delete ch; print_destroyed(this); }
+ SpecialHolderObj *child() { return ch; }
+ };
+
+ py::class_<SpecialHolderObj, custom_unique_ptr<SpecialHolderObj>>(m, "SpecialHolderObj")
+ .def(py::init<int>())
+ .def("child", &SpecialHolderObj::child, pybind11::return_value_policy::reference_internal)
+ .def_readwrite("val", &SpecialHolderObj::val)
+ .def_static("holder_cstats", &ConstructorStats::get<custom_unique_ptr<SpecialHolderObj>>,
+ py::return_value_policy::reference);
+
+ /// Issue #484: number conversion generates unhandled exceptions
+ m2.def("test_complex", [](float x) { py::print("{}"_s.format(x)); });
+ m2.def("test_complex", [](std::complex<float> x) { py::print("({}, {})"_s.format(x.real(), x.imag())); });
+
+ /// Issue #511: problem with inheritance + overwritten def_static
+ struct MyBase {
+ static std::unique_ptr<MyBase> make() {
+ return std::unique_ptr<MyBase>(new MyBase());
+ }
+ };
+
+ struct MyDerived : MyBase {
+ static std::unique_ptr<MyDerived> make() {
+ return std::unique_ptr<MyDerived>(new MyDerived());
+ }
+ };
+
+ py::class_<MyBase>(m2, "MyBase")
+ .def_static("make", &MyBase::make);
+
+ py::class_<MyDerived, MyBase>(m2, "MyDerived")
+ .def_static("make", &MyDerived::make)
+ .def_static("make2", &MyDerived::make);
+
+ py::dict d;
+ std::string bar = "bar";
+ d["str"] = bar;
+ d["num"] = 3.7;
+
+ /// Issue #528: templated constructor
+ m2.def("tpl_constr_vector", [](std::vector<TplConstrClass> &) {});
+ m2.def("tpl_constr_map", [](std::unordered_map<TplConstrClass, TplConstrClass> &) {});
+ m2.def("tpl_constr_set", [](std::unordered_set<TplConstrClass> &) {});
+#if defined(PYBIND11_HAS_OPTIONAL)
+ m2.def("tpl_constr_optional", [](std::optional<TplConstrClass> &) {});
+#elif defined(PYBIND11_HAS_EXP_OPTIONAL)
+ m2.def("tpl_constr_optional", [](std::experimental::optional<TplConstrClass> &) {});
+#endif
+}
+
+// MSVC workaround: trying to use a lambda here crashes MSCV
+test_initializer issues(&init_issues);
--- /dev/null
+import pytest
+import gc
+from pybind11_tests import ConstructorStats
+
+
+def test_regressions():
+ from pybind11_tests.issues import print_cchar, print_char
+
+ # #137: const char* isn't handled properly
+ assert print_cchar("const char *") == "const char *"
+ # #150: char bindings broken
+ assert print_char("c") == "c"
+
+
+def test_dispatch_issue(msg):
+ """#159: virtual function dispatch has problems with similar-named functions"""
+ from pybind11_tests.issues import DispatchIssue, dispatch_issue_go
+
+ class PyClass1(DispatchIssue):
+ def dispatch(self):
+ return "Yay.."
+
+ class PyClass2(DispatchIssue):
+ def dispatch(self):
+ with pytest.raises(RuntimeError) as excinfo:
+ super(PyClass2, self).dispatch()
+ assert msg(excinfo.value) == 'Tried to call pure virtual function "Base::dispatch"'
+
+ p = PyClass1()
+ return dispatch_issue_go(p)
+
+ b = PyClass2()
+ assert dispatch_issue_go(b) == "Yay.."
+
+
+def test_reference_wrapper():
+ """#171: Can't return reference wrappers (or STL data structures containing them)"""
+ from pybind11_tests.issues import Placeholder, return_vec_of_reference_wrapper
+
+ assert str(return_vec_of_reference_wrapper(Placeholder(4))) == \
+ "[Placeholder[1], Placeholder[2], Placeholder[3], Placeholder[4]]"
+
+
+def test_iterator_passthrough():
+ """#181: iterator passthrough did not compile"""
+ from pybind11_tests.issues import iterator_passthrough
+
+ assert list(iterator_passthrough(iter([3, 5, 7, 9, 11, 13, 15]))) == [3, 5, 7, 9, 11, 13, 15]
+
+
+def test_shared_ptr_gc():
+ """// #187: issue involving std::shared_ptr<> return value policy & garbage collection"""
+ from pybind11_tests.issues import ElementList, ElementA
+
+ el = ElementList()
+ for i in range(10):
+ el.add(ElementA(i))
+ gc.collect()
+ for i, v in enumerate(el.get()):
+ assert i == v.value()
+
+
+def test_no_id(msg):
+ from pybind11_tests.issues import get_element, expect_float, expect_int
+
+ with pytest.raises(TypeError) as excinfo:
+ get_element(None)
+ assert msg(excinfo.value) == """
+ get_element(): incompatible function arguments. The following argument types are supported:
+ 1. (arg0: m.issues.ElementA) -> int
+
+ Invoked with: None
+ """
+
+ with pytest.raises(TypeError) as excinfo:
+ expect_int(5.2)
+ assert msg(excinfo.value) == """
+ expect_int(): incompatible function arguments. The following argument types are supported:
+ 1. (arg0: int) -> int
+
+ Invoked with: 5.2
+ """
+ assert expect_float(12) == 12
+
+
+def test_str_issue(msg):
+ """Issue #283: __str__ called on uninitialized instance when constructor arguments invalid"""
+ from pybind11_tests.issues import StrIssue
+
+ assert str(StrIssue(3)) == "StrIssue[3]"
+
+ with pytest.raises(TypeError) as excinfo:
+ str(StrIssue("no", "such", "constructor"))
+ assert msg(excinfo.value) == """
+ __init__(): incompatible constructor arguments. The following argument types are supported:
+ 1. m.issues.StrIssue(arg0: int)
+ 2. m.issues.StrIssue()
+
+ Invoked with: 'no', 'such', 'constructor'
+ """
+
+
+def test_nested():
+ """ #328: first member in a class can't be used in operators"""
+ from pybind11_tests.issues import NestA, NestB, NestC, get_NestA, get_NestB, get_NestC
+
+ a = NestA()
+ b = NestB()
+ c = NestC()
+
+ a += 10
+ assert get_NestA(a) == 13
+ b.a += 100
+ assert get_NestA(b.a) == 103
+ c.b.a += 1000
+ assert get_NestA(c.b.a) == 1003
+ b -= 1
+ assert get_NestB(b) == 3
+ c.b -= 3
+ assert get_NestB(c.b) == 1
+ c *= 7
+ assert get_NestC(c) == 35
+
+ abase = a.as_base()
+ assert abase.value == -2
+ a.as_base().value += 44
+ assert abase.value == 42
+ assert c.b.a.as_base().value == -2
+ c.b.a.as_base().value += 44
+ assert c.b.a.as_base().value == 42
+
+ del c
+ gc.collect()
+ del a # Should't delete while abase is still alive
+ gc.collect()
+
+ assert abase.value == 42
+ del abase, b
+ gc.collect()
+
+
+def test_move_fallback():
+ from pybind11_tests.issues import get_moveissue1, get_moveissue2
+ m2 = get_moveissue2(2)
+ assert m2.value == 2
+ m1 = get_moveissue1(1)
+ assert m1.value == 1
+
+
+def test_override_ref():
+ from pybind11_tests.issues import OverrideTest
+ o = OverrideTest("asdf")
+
+ # Not allowed (see associated .cpp comment)
+ # i = o.str_ref()
+ # assert o.str_ref() == "asdf"
+ assert o.str_value() == "asdf"
+
+ assert o.A_value().value == "hi"
+ a = o.A_ref()
+ assert a.value == "hi"
+ a.value = "bye"
+ assert a.value == "bye"
+
+
+def test_operators_notimplemented(capture):
+ from pybind11_tests.issues import OpTest1, OpTest2
+ with capture:
+ c1, c2 = OpTest1(), OpTest2()
+ c1 + c1
+ c2 + c2
+ c2 + c1
+ c1 + c2
+ assert capture == """
+ Add OpTest1 with OpTest1
+ Add OpTest2 with OpTest2
+ Add OpTest2 with OpTest1
+ Add OpTest2 with OpTest1
+ """
+
+
+def test_iterator_rvpolicy():
+ """ Issue 388: Can't make iterators via make_iterator() with different r/v policies """
+ from pybind11_tests.issues import make_iterator_1
+ from pybind11_tests.issues import make_iterator_2
+
+ assert list(make_iterator_1()) == [1, 2, 3]
+ assert list(make_iterator_2()) == [1, 2, 3]
+ assert not isinstance(make_iterator_1(), type(make_iterator_2()))
+
+
+def test_dupe_assignment():
+ """ Issue 461: overwriting a class with a function """
+ from pybind11_tests.issues import dupe_exception_failures
+ assert dupe_exception_failures() == []
+
+
+def test_enable_shared_from_this_with_reference_rvp():
+ """ Issue #471: shared pointer instance not dellocated """
+ from pybind11_tests import SharedParent, SharedChild
+
+ parent = SharedParent()
+ child = parent.get_child()
+
+ cstats = ConstructorStats.get(SharedChild)
+ assert cstats.alive() == 1
+ del child, parent
+ assert cstats.alive() == 0
+
+
+def test_non_destructed_holders():
+ """ Issue #478: unique ptrs constructed and freed without destruction """
+ from pybind11_tests import SpecialHolderObj
+
+ a = SpecialHolderObj(123)
+ b = a.child()
+
+ assert a.val == 123
+ assert b.val == 124
+
+ cstats = SpecialHolderObj.holder_cstats()
+ assert cstats.alive() == 1
+ del b
+ assert cstats.alive() == 1
+ del a
+ assert cstats.alive() == 0
+
+
+def test_complex_cast(capture):
+ """ Issue #484: number conversion generates unhandled exceptions """
+ from pybind11_tests.issues import test_complex
+
+ with capture:
+ test_complex(1)
+ test_complex(2j)
+
+ assert capture == """
+ 1.0
+ (0.0, 2.0)
+ """
+
+
+def test_inheritance_override_def_static():
+ from pybind11_tests.issues import MyBase, MyDerived
+
+ b = MyBase.make()
+ d1 = MyDerived.make2()
+ d2 = MyDerived.make()
+
+ assert isinstance(b, MyBase)
+ assert isinstance(d1, MyDerived)
+ assert isinstance(d2, MyDerived)
--- /dev/null
+/*
+ tests/test_keep_alive.cpp -- keep_alive modifier (pybind11's version
+ of Boost.Python's with_custodian_and_ward / with_custodian_and_ward_postcall)
+
+ 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 Child {
+public:
+ Child() { py::print("Allocating child."); }
+ ~Child() { py::print("Releasing child."); }
+};
+
+class Parent {
+public:
+ Parent() { py::print("Allocating parent."); }
+ ~Parent() { py::print("Releasing parent."); }
+ void addChild(Child *) { }
+ Child *returnChild() { return new Child(); }
+ Child *returnNullChild() { return nullptr; }
+};
+
+test_initializer keep_alive([](py::module &m) {
+ py::class_<Parent>(m, "Parent")
+ .def(py::init<>())
+ .def("addChild", &Parent::addChild)
+ .def("addChildKeepAlive", &Parent::addChild, py::keep_alive<1, 2>())
+ .def("returnChild", &Parent::returnChild)
+ .def("returnChildKeepAlive", &Parent::returnChild, py::keep_alive<1, 0>())
+ .def("returnNullChildKeepAliveChild", &Parent::returnNullChild, py::keep_alive<1, 0>())
+ .def("returnNullChildKeepAliveParent", &Parent::returnNullChild, py::keep_alive<0, 1>());
+
+ py::class_<Child>(m, "Child")
+ .def(py::init<>());
+});
--- /dev/null
+import gc
+
+
+def test_keep_alive_argument(capture):
+ from pybind11_tests import Parent, Child
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.addChild(Child())
+ gc.collect()
+ assert capture == """
+ Allocating child.
+ Releasing child.
+ """
+ with capture:
+ del p
+ gc.collect()
+ assert capture == "Releasing parent."
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.addChildKeepAlive(Child())
+ gc.collect()
+ assert capture == "Allocating child."
+ with capture:
+ del p
+ gc.collect()
+ assert capture == """
+ Releasing parent.
+ Releasing child.
+ """
+
+
+def test_keep_alive_return_value(capture):
+ from pybind11_tests import Parent
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.returnChild()
+ gc.collect()
+ assert capture == """
+ Allocating child.
+ Releasing child.
+ """
+ with capture:
+ del p
+ gc.collect()
+ assert capture == "Releasing parent."
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.returnChildKeepAlive()
+ gc.collect()
+ assert capture == "Allocating child."
+ with capture:
+ del p
+ gc.collect()
+ assert capture == """
+ Releasing parent.
+ Releasing child.
+ """
+
+
+def test_return_none(capture):
+ from pybind11_tests import Parent
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.returnNullChildKeepAliveChild()
+ gc.collect()
+ assert capture == ""
+ with capture:
+ del p
+ gc.collect()
+ assert capture == "Releasing parent."
+
+ with capture:
+ p = Parent()
+ assert capture == "Allocating parent."
+ with capture:
+ p.returnNullChildKeepAliveParent()
+ gc.collect()
+ assert capture == ""
+ with capture:
+ del p
+ gc.collect()
+ assert capture == "Releasing parent."
--- /dev/null
+/*
+ tests/test_kwargs_and_defaults.cpp -- keyword arguments and default values
+
+ 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/stl.h>
+
+std::string kw_func(int x, int y) { return "x=" + std::to_string(x) + ", y=" + std::to_string(y); }
+
+std::string kw_func4(const std::vector<int> &entries) {
+ std::string ret = "{";
+ for (int i : entries)
+ ret += std::to_string(i) + " ";
+ ret.back() = '}';
+ return ret;
+}
+
+py::tuple args_function(py::args args) {
+ return args;
+}
+
+py::tuple args_kwargs_function(py::args args, py::kwargs kwargs) {
+ return py::make_tuple(args, kwargs);
+}
+
+struct KWClass {
+ void foo(int, float) {}
+};
+
+test_initializer arg_keywords_and_defaults([](py::module &m) {
+ m.def("kw_func0", &kw_func);
+ m.def("kw_func1", &kw_func, py::arg("x"), py::arg("y"));
+ m.def("kw_func2", &kw_func, py::arg("x") = 100, py::arg("y") = 200);
+ m.def("kw_func3", [](const char *) { }, py::arg("data") = std::string("Hello world!"));
+
+ /* A fancier default argument */
+ std::vector<int> list;
+ list.push_back(13);
+ list.push_back(17);
+ m.def("kw_func4", &kw_func4, py::arg("myList") = list);
+
+ m.def("args_function", &args_function);
+ m.def("args_kwargs_function", &args_kwargs_function);
+
+ m.def("kw_func_udl", &kw_func, "x"_a, "y"_a=300);
+ m.def("kw_func_udl_z", &kw_func, "x"_a, "y"_a=0);
+
+ py::class_<KWClass>(m, "KWClass")
+ .def("foo0", &KWClass::foo)
+ .def("foo1", &KWClass::foo, "x"_a, "y"_a);
+});
--- /dev/null
+import pytest
+from pybind11_tests import (kw_func0, kw_func1, kw_func2, kw_func3, kw_func4, args_function,
+ args_kwargs_function, kw_func_udl, kw_func_udl_z, KWClass)
+
+
+def test_function_signatures(doc):
+ assert doc(kw_func0) == "kw_func0(arg0: int, arg1: int) -> str"
+ assert doc(kw_func1) == "kw_func1(x: int, y: int) -> str"
+ assert doc(kw_func2) == "kw_func2(x: int=100, y: int=200) -> str"
+ assert doc(kw_func3) == "kw_func3(data: str='Hello world!') -> None"
+ assert doc(kw_func4) == "kw_func4(myList: List[int]=[13, 17]) -> str"
+ assert doc(kw_func_udl) == "kw_func_udl(x: int, y: int=300) -> str"
+ assert doc(kw_func_udl_z) == "kw_func_udl_z(x: int, y: int=0) -> str"
+ assert doc(args_function) == "args_function(*args) -> tuple"
+ assert doc(args_kwargs_function) == "args_kwargs_function(*args, **kwargs) -> tuple"
+ assert doc(KWClass.foo0) == "foo0(self: m.KWClass, arg0: int, arg1: float) -> None"
+ assert doc(KWClass.foo1) == "foo1(self: m.KWClass, x: int, y: float) -> None"
+
+
+def test_named_arguments(msg):
+ assert kw_func0(5, 10) == "x=5, y=10"
+
+ assert kw_func1(5, 10) == "x=5, y=10"
+ assert kw_func1(5, y=10) == "x=5, y=10"
+ assert kw_func1(y=10, x=5) == "x=5, y=10"
+
+ assert kw_func2() == "x=100, y=200"
+ assert kw_func2(5) == "x=5, y=200"
+ assert kw_func2(x=5) == "x=5, y=200"
+ assert kw_func2(y=10) == "x=100, y=10"
+ assert kw_func2(5, 10) == "x=5, y=10"
+ assert kw_func2(x=5, y=10) == "x=5, y=10"
+
+ with pytest.raises(TypeError) as excinfo:
+ # noinspection PyArgumentList
+ kw_func2(x=5, y=10, z=12)
+ assert msg(excinfo.value) == """
+ kw_func2(): incompatible function arguments. The following argument types are supported:
+ 1. (x: int=100, y: int=200) -> str
+
+ Invoked with:
+ """
+
+ assert kw_func4() == "{13 17}"
+ assert kw_func4(myList=[1, 2, 3]) == "{1 2 3}"
+
+ assert kw_func_udl(x=5, y=10) == "x=5, y=10"
+ assert kw_func_udl_z(x=5) == "x=5, y=0"
+
+
+def test_arg_and_kwargs():
+ args = 'arg1_value', 'arg2_value', 3
+ assert args_function(*args) == args
+
+ args = 'a1', 'a2'
+ kwargs = dict(arg3='a3', arg4=4)
+ assert args_kwargs_function(*args, **kwargs) == (args, kwargs)
--- /dev/null
+/*
+ tests/test_methods_and_attributes.cpp -- constructors, deconstructors, attribute access,
+ __str__, argument and return value conventions
+
+ 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 ExampleMandA {
+public:
+ ExampleMandA() { print_default_created(this); }
+ ExampleMandA(int value) : value(value) { print_created(this, value); }
+ ExampleMandA(const ExampleMandA &e) : value(e.value) { print_copy_created(this); }
+ ExampleMandA(ExampleMandA &&e) : value(e.value) { print_move_created(this); }
+ ~ExampleMandA() { print_destroyed(this); }
+
+ std::string toString() {
+ return "ExampleMandA[value=" + std::to_string(value) + "]";
+ }
+
+ void operator=(const ExampleMandA &e) { print_copy_assigned(this); value = e.value; }
+ void operator=(ExampleMandA &&e) { print_move_assigned(this); value = e.value; }
+
+ void add1(ExampleMandA other) { value += other.value; } // passing by value
+ void add2(ExampleMandA &other) { value += other.value; } // passing by reference
+ void add3(const ExampleMandA &other) { value += other.value; } // passing by const reference
+ void add4(ExampleMandA *other) { value += other->value; } // passing by pointer
+ void add5(const ExampleMandA *other) { value += other->value; } // passing by const pointer
+
+ void add6(int other) { value += other; } // passing by value
+ void add7(int &other) { value += other; } // passing by reference
+ void add8(const int &other) { value += other; } // passing by const reference
+ void add9(int *other) { value += *other; } // passing by pointer
+ void add10(const int *other) { value += *other; } // passing by const pointer
+
+ ExampleMandA self1() { return *this; } // return by value
+ ExampleMandA &self2() { return *this; } // return by reference
+ const ExampleMandA &self3() { return *this; } // return by const reference
+ ExampleMandA *self4() { return this; } // return by pointer
+ const ExampleMandA *self5() { return this; } // return by const pointer
+
+ int internal1() { return value; } // return by value
+ int &internal2() { return value; } // return by reference
+ const int &internal3() { return value; } // return by const reference
+ int *internal4() { return &value; } // return by pointer
+ const int *internal5() { return &value; } // return by const pointer
+
+ py::str overloaded(int, float) { return "(int, float)"; }
+ py::str overloaded(float, int) { return "(float, int)"; }
+ py::str overloaded(int, float) const { return "(int, float) const"; }
+ py::str overloaded(float, int) const { return "(float, int) const"; }
+
+ int value = 0;
+};
+
+struct TestProperties {
+ int value = 1;
+ static int static_value;
+
+ int get() const { return value; }
+ void set(int v) { value = v; }
+
+ static int static_get() { return static_value; }
+ static void static_set(int v) { static_value = v; }
+};
+
+int TestProperties::static_value = 1;
+
+struct SimpleValue { int value = 1; };
+
+struct TestPropRVP {
+ SimpleValue v1;
+ SimpleValue v2;
+ static SimpleValue sv1;
+ static SimpleValue sv2;
+
+ const SimpleValue &get1() const { return v1; }
+ const SimpleValue &get2() const { return v2; }
+ SimpleValue get_rvalue() const { return v2; }
+ void set1(int v) { v1.value = v; }
+ void set2(int v) { v2.value = v; }
+};
+
+SimpleValue TestPropRVP::sv1{};
+SimpleValue TestPropRVP::sv2{};
+
+class DynamicClass {
+public:
+ DynamicClass() { print_default_created(this); }
+ ~DynamicClass() { print_destroyed(this); }
+};
+
+class CppDerivedDynamicClass : public DynamicClass { };
+
+test_initializer methods_and_attributes([](py::module &m) {
+ py::class_<ExampleMandA>(m, "ExampleMandA")
+ .def(py::init<>())
+ .def(py::init<int>())
+ .def(py::init<const ExampleMandA&>())
+ .def("add1", &ExampleMandA::add1)
+ .def("add2", &ExampleMandA::add2)
+ .def("add3", &ExampleMandA::add3)
+ .def("add4", &ExampleMandA::add4)
+ .def("add5", &ExampleMandA::add5)
+ .def("add6", &ExampleMandA::add6)
+ .def("add7", &ExampleMandA::add7)
+ .def("add8", &ExampleMandA::add8)
+ .def("add9", &ExampleMandA::add9)
+ .def("add10", &ExampleMandA::add10)
+ .def("self1", &ExampleMandA::self1)
+ .def("self2", &ExampleMandA::self2)
+ .def("self3", &ExampleMandA::self3)
+ .def("self4", &ExampleMandA::self4)
+ .def("self5", &ExampleMandA::self5)
+ .def("internal1", &ExampleMandA::internal1)
+ .def("internal2", &ExampleMandA::internal2)
+ .def("internal3", &ExampleMandA::internal3)
+ .def("internal4", &ExampleMandA::internal4)
+ .def("internal5", &ExampleMandA::internal5)
+#if defined(PYBIND11_OVERLOAD_CAST)
+ .def("overloaded", py::overload_cast<int, float>(&ExampleMandA::overloaded))
+ .def("overloaded", py::overload_cast<float, int>(&ExampleMandA::overloaded))
+ .def("overloaded_const", py::overload_cast<int, float>(&ExampleMandA::overloaded, py::const_))
+ .def("overloaded_const", py::overload_cast<float, int>(&ExampleMandA::overloaded, py::const_))
+#else
+ .def("overloaded", static_cast<py::str (ExampleMandA::*)(int, float)>(&ExampleMandA::overloaded))
+ .def("overloaded", static_cast<py::str (ExampleMandA::*)(float, int)>(&ExampleMandA::overloaded))
+ .def("overloaded_const", static_cast<py::str (ExampleMandA::*)(int, float) const>(&ExampleMandA::overloaded))
+ .def("overloaded_const", static_cast<py::str (ExampleMandA::*)(float, int) const>(&ExampleMandA::overloaded))
+#endif
+ .def("__str__", &ExampleMandA::toString)
+ .def_readwrite("value", &ExampleMandA::value)
+ ;
+
+ py::class_<TestProperties>(m, "TestProperties")
+ .def(py::init<>())
+ .def_readonly("def_readonly", &TestProperties::value)
+ .def_readwrite("def_readwrite", &TestProperties::value)
+ .def_property_readonly("def_property_readonly", &TestProperties::get)
+ .def_property("def_property", &TestProperties::get, &TestProperties::set)
+ .def_readonly_static("def_readonly_static", &TestProperties::static_value)
+ .def_readwrite_static("def_readwrite_static", &TestProperties::static_value)
+ .def_property_readonly_static("def_property_readonly_static",
+ [](py::object) { return TestProperties::static_get(); })
+ .def_property_static("def_property_static",
+ [](py::object) { return TestProperties::static_get(); },
+ [](py::object, int v) { return TestProperties::static_set(v); });
+
+ py::class_<SimpleValue>(m, "SimpleValue")
+ .def_readwrite("value", &SimpleValue::value);
+
+ auto static_get1 = [](py::object) -> const SimpleValue & { return TestPropRVP::sv1; };
+ auto static_get2 = [](py::object) -> const SimpleValue & { return TestPropRVP::sv2; };
+ auto static_set1 = [](py::object, int v) { TestPropRVP::sv1.value = v; };
+ auto static_set2 = [](py::object, int v) { TestPropRVP::sv2.value = v; };
+ auto rvp_copy = py::return_value_policy::copy;
+
+ py::class_<TestPropRVP>(m, "TestPropRVP")
+ .def(py::init<>())
+ .def_property_readonly("ro_ref", &TestPropRVP::get1)
+ .def_property_readonly("ro_copy", &TestPropRVP::get2, rvp_copy)
+ .def_property_readonly("ro_func", py::cpp_function(&TestPropRVP::get2, rvp_copy))
+ .def_property("rw_ref", &TestPropRVP::get1, &TestPropRVP::set1)
+ .def_property("rw_copy", &TestPropRVP::get2, &TestPropRVP::set2, rvp_copy)
+ .def_property("rw_func", py::cpp_function(&TestPropRVP::get2, rvp_copy), &TestPropRVP::set2)
+ .def_property_readonly_static("static_ro_ref", static_get1)
+ .def_property_readonly_static("static_ro_copy", static_get2, rvp_copy)
+ .def_property_readonly_static("static_ro_func", py::cpp_function(static_get2, rvp_copy))
+ .def_property_static("static_rw_ref", static_get1, static_set1)
+ .def_property_static("static_rw_copy", static_get2, static_set2, rvp_copy)
+ .def_property_static("static_rw_func", py::cpp_function(static_get2, rvp_copy), static_set2)
+ .def_property_readonly("rvalue", &TestPropRVP::get_rvalue)
+ .def_property_readonly_static("static_rvalue", [](py::object) { return SimpleValue(); });
+
+ py::class_<DynamicClass>(m, "DynamicClass", py::dynamic_attr())
+ .def(py::init());
+
+ py::class_<CppDerivedDynamicClass, DynamicClass>(m, "CppDerivedDynamicClass")
+ .def(py::init());
+});
--- /dev/null
+import pytest
+from pybind11_tests import ExampleMandA, ConstructorStats
+
+
+def test_methods_and_attributes():
+ instance1 = ExampleMandA()
+ instance2 = ExampleMandA(32)
+
+ instance1.add1(instance2)
+ instance1.add2(instance2)
+ instance1.add3(instance2)
+ instance1.add4(instance2)
+ instance1.add5(instance2)
+ instance1.add6(32)
+ instance1.add7(32)
+ instance1.add8(32)
+ instance1.add9(32)
+ instance1.add10(32)
+
+ assert str(instance1) == "ExampleMandA[value=320]"
+ assert str(instance2) == "ExampleMandA[value=32]"
+ assert str(instance1.self1()) == "ExampleMandA[value=320]"
+ assert str(instance1.self2()) == "ExampleMandA[value=320]"
+ assert str(instance1.self3()) == "ExampleMandA[value=320]"
+ assert str(instance1.self4()) == "ExampleMandA[value=320]"
+ assert str(instance1.self5()) == "ExampleMandA[value=320]"
+
+ assert instance1.internal1() == 320
+ assert instance1.internal2() == 320
+ assert instance1.internal3() == 320
+ assert instance1.internal4() == 320
+ assert instance1.internal5() == 320
+
+ assert instance1.overloaded(1, 1.0) == "(int, float)"
+ assert instance1.overloaded(2.0, 2) == "(float, int)"
+ assert instance1.overloaded_const(3, 3.0) == "(int, float) const"
+ assert instance1.overloaded_const(4.0, 4) == "(float, int) const"
+
+ assert instance1.value == 320
+ instance1.value = 100
+ assert str(instance1) == "ExampleMandA[value=100]"
+
+ cstats = ConstructorStats.get(ExampleMandA)
+ assert cstats.alive() == 2
+ del instance1, instance2
+ assert cstats.alive() == 0
+ assert cstats.values() == ["32"]
+ assert cstats.default_constructions == 1
+ assert cstats.copy_constructions == 3
+ assert cstats.move_constructions >= 1
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+
+def test_properties():
+ from pybind11_tests import TestProperties
+
+ instance = TestProperties()
+
+ assert instance.def_readonly == 1
+ with pytest.raises(AttributeError):
+ instance.def_readonly = 2
+
+ instance.def_readwrite = 2
+ assert instance.def_readwrite == 2
+
+ assert instance.def_property_readonly == 2
+ with pytest.raises(AttributeError):
+ instance.def_property_readonly = 3
+
+ instance.def_property = 3
+ assert instance.def_property == 3
+
+
+def test_static_properties():
+ from pybind11_tests import TestProperties as Type
+
+ assert Type.def_readonly_static == 1
+ with pytest.raises(AttributeError):
+ Type.def_readonly_static = 2
+
+ Type.def_readwrite_static = 2
+ assert Type.def_readwrite_static == 2
+
+ assert Type.def_property_readonly_static == 2
+ with pytest.raises(AttributeError):
+ Type.def_property_readonly_static = 3
+
+ Type.def_property_static = 3
+ assert Type.def_property_static == 3
+
+
+@pytest.mark.parametrize("access", ["ro", "rw", "static_ro", "static_rw"])
+def test_property_return_value_policies(access):
+ from pybind11_tests import TestPropRVP
+
+ if not access.startswith("static"):
+ obj = TestPropRVP()
+ else:
+ obj = TestPropRVP
+
+ ref = getattr(obj, access + "_ref")
+ assert ref.value == 1
+ ref.value = 2
+ assert getattr(obj, access + "_ref").value == 2
+ ref.value = 1 # restore original value for static properties
+
+ copy = getattr(obj, access + "_copy")
+ assert copy.value == 1
+ copy.value = 2
+ assert getattr(obj, access + "_copy").value == 1
+
+ copy = getattr(obj, access + "_func")
+ assert copy.value == 1
+ copy.value = 2
+ assert getattr(obj, access + "_func").value == 1
+
+
+def test_property_rvalue_policy():
+ """When returning an rvalue, the return value policy is automatically changed from
+ `reference(_internal)` to `move`. The following would not work otherwise.
+ """
+ from pybind11_tests import TestPropRVP
+
+ instance = TestPropRVP()
+ o = instance.rvalue
+ assert o.value == 1
+ o = TestPropRVP.static_rvalue
+ assert o.value == 1
+
+
+def test_dynamic_attributes():
+ from pybind11_tests import DynamicClass, CppDerivedDynamicClass
+
+ instance = DynamicClass()
+ assert not hasattr(instance, "foo")
+ assert "foo" not in dir(instance)
+
+ # Dynamically add attribute
+ instance.foo = 42
+ assert hasattr(instance, "foo")
+ assert instance.foo == 42
+ assert "foo" in dir(instance)
+
+ # __dict__ should be accessible and replaceable
+ assert "foo" in instance.__dict__
+ instance.__dict__ = {"bar": True}
+ assert not hasattr(instance, "foo")
+ assert hasattr(instance, "bar")
+
+ with pytest.raises(TypeError) as excinfo:
+ instance.__dict__ = []
+ assert str(excinfo.value) == "__dict__ must be set to a dictionary, not a 'list'"
+
+ cstats = ConstructorStats.get(DynamicClass)
+ assert cstats.alive() == 1
+ del instance
+ assert cstats.alive() == 0
+
+ # Derived classes should work as well
+ class PythonDerivedDynamicClass(DynamicClass):
+ pass
+
+ for cls in CppDerivedDynamicClass, PythonDerivedDynamicClass:
+ derived = cls()
+ derived.foobar = 100
+ assert derived.foobar == 100
+
+ assert cstats.alive() == 1
+ del derived
+ assert cstats.alive() == 0
+
+
+def test_cyclic_gc():
+ from pybind11_tests import DynamicClass
+
+ # One object references itself
+ instance = DynamicClass()
+ instance.circular_reference = instance
+
+ cstats = ConstructorStats.get(DynamicClass)
+ assert cstats.alive() == 1
+ del instance
+ assert cstats.alive() == 0
+
+ # Two object reference each other
+ i1 = DynamicClass()
+ i2 = DynamicClass()
+ i1.cycle = i2
+ i2.cycle = i1
+
+ assert cstats.alive() == 2
+ del i1, i2
+ assert cstats.alive() == 0
--- /dev/null
+/*
+ tests/test_modules.cpp -- nested modules, importing modules, and
+ internal references
+
+ 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::string submodule_func() {
+ return "submodule_func()";
+}
+
+class A {
+public:
+ A(int v) : v(v) { print_created(this, v); }
+ ~A() { print_destroyed(this); }
+ A(const A&) { print_copy_created(this); }
+ A& operator=(const A ©) { print_copy_assigned(this); v = copy.v; return *this; }
+ std::string toString() { return "A[" + std::to_string(v) + "]"; }
+private:
+ int v;
+};
+
+class B {
+public:
+ B() { print_default_created(this); }
+ ~B() { print_destroyed(this); }
+ B(const B&) { print_copy_created(this); }
+ B& operator=(const B ©) { print_copy_assigned(this); a1 = copy.a1; a2 = copy.a2; return *this; }
+ A &get_a1() { return a1; }
+ A &get_a2() { return a2; }
+
+ A a1{1};
+ A a2{2};
+};
+
+test_initializer modules([](py::module &m) {
+ py::module m_sub = m.def_submodule("submodule");
+ m_sub.def("submodule_func", &submodule_func);
+
+ py::class_<A>(m_sub, "A")
+ .def(py::init<int>())
+ .def("__repr__", &A::toString);
+
+ py::class_<B>(m_sub, "B")
+ .def(py::init<>())
+ .def("get_a1", &B::get_a1, "Return the internal A 1", py::return_value_policy::reference_internal)
+ .def("get_a2", &B::get_a2, "Return the internal A 2", py::return_value_policy::reference_internal)
+ .def_readwrite("a1", &B::a1) // def_readonly uses an internal reference return policy by default
+ .def_readwrite("a2", &B::a2);
+
+ m.attr("OD") = py::module::import("collections").attr("OrderedDict");
+});
--- /dev/null
+
+def test_nested_modules():
+ import pybind11_tests
+ from pybind11_tests.submodule import submodule_func
+
+ assert pybind11_tests.__name__ == "pybind11_tests"
+ assert pybind11_tests.submodule.__name__ == "pybind11_tests.submodule"
+
+ assert submodule_func() == "submodule_func()"
+
+
+def test_reference_internal():
+ from pybind11_tests import ConstructorStats
+ from pybind11_tests.submodule import A, B
+
+ b = B()
+ assert str(b.get_a1()) == "A[1]"
+ assert str(b.a1) == "A[1]"
+ assert str(b.get_a2()) == "A[2]"
+ assert str(b.a2) == "A[2]"
+
+ b.a1 = A(42)
+ b.a2 = A(43)
+ assert str(b.get_a1()) == "A[42]"
+ assert str(b.a1) == "A[42]"
+ assert str(b.get_a2()) == "A[43]"
+ assert str(b.a2) == "A[43]"
+
+ astats, bstats = ConstructorStats.get(A), ConstructorStats.get(B)
+ assert astats.alive() == 2
+ assert bstats.alive() == 1
+ del b
+ assert astats.alive() == 0
+ assert bstats.alive() == 0
+ assert astats.values() == ['1', '2', '42', '43']
+ assert bstats.values() == []
+ assert astats.default_constructions == 0
+ assert bstats.default_constructions == 1
+ assert astats.copy_constructions == 0
+ assert bstats.copy_constructions == 0
+ # assert astats.move_constructions >= 0 # Don't invoke any
+ # assert bstats.move_constructions >= 0 # Don't invoke any
+ assert astats.copy_assignments == 2
+ assert bstats.copy_assignments == 0
+ assert astats.move_assignments == 0
+ assert bstats.move_assignments == 0
+
+
+def test_importing():
+ from pybind11_tests import OD
+ from collections import OrderedDict
+
+ assert OD is OrderedDict
+ assert str(OD([(1, 'a'), (2, 'b')])) == "OrderedDict([(1, 'a'), (2, 'b')])"
--- /dev/null
+/*
+ tests/test_multiple_inheritance.cpp -- multiple inheritance,
+ implicit MI casts
+
+ 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 Base1 {
+ Base1(int i) : i(i) { }
+ int foo() { return i; }
+ int i;
+};
+
+struct Base2 {
+ Base2(int i) : i(i) { }
+ int bar() { return i; }
+ int i;
+};
+
+struct Base12 : Base1, Base2 {
+ Base12(int i, int j) : Base1(i), Base2(j) { }
+};
+
+struct MIType : Base12 {
+ MIType(int i, int j) : Base12(i, j) { }
+};
+
+test_initializer multiple_inheritance([](py::module &m) {
+ py::class_<Base1>(m, "Base1")
+ .def(py::init<int>())
+ .def("foo", &Base1::foo);
+
+ py::class_<Base2>(m, "Base2")
+ .def(py::init<int>())
+ .def("bar", &Base2::bar);
+
+ py::class_<Base12, Base1, Base2>(m, "Base12");
+
+ py::class_<MIType, Base12>(m, "MIType")
+ .def(py::init<int, int>());
+});
+
+/* Test the case where not all base classes are specified,
+ and where pybind11 requires the py::multiple_inheritance
+ flag to perform proper casting between types */
+
+struct Base1a {
+ Base1a(int i) : i(i) { }
+ int foo() { return i; }
+ int i;
+};
+
+struct Base2a {
+ Base2a(int i) : i(i) { }
+ int bar() { return i; }
+ int i;
+};
+
+struct Base12a : Base1a, Base2a {
+ Base12a(int i, int j) : Base1a(i), Base2a(j) { }
+};
+
+test_initializer multiple_inheritance_nonexplicit([](py::module &m) {
+ py::class_<Base1a, std::shared_ptr<Base1a>>(m, "Base1a")
+ .def(py::init<int>())
+ .def("foo", &Base1a::foo);
+
+ py::class_<Base2a, std::shared_ptr<Base2a>>(m, "Base2a")
+ .def(py::init<int>())
+ .def("bar", &Base2a::bar);
+
+ py::class_<Base12a, /* Base1 missing */ Base2a,
+ std::shared_ptr<Base12a>>(m, "Base12a", py::multiple_inheritance())
+ .def(py::init<int, int>());
+
+ m.def("bar_base2a", [](Base2a *b) { return b->bar(); });
+ m.def("bar_base2a_sharedptr", [](std::shared_ptr<Base2a> b) { return b->bar(); });
+});
--- /dev/null
+
+
+def test_multiple_inheritance_cpp():
+ from pybind11_tests import MIType
+
+ mt = MIType(3, 4)
+
+ assert mt.foo() == 3
+ assert mt.bar() == 4
+
+
+def test_multiple_inheritance_mix1():
+ from pybind11_tests import Base2
+
+ class Base1:
+ def __init__(self, i):
+ self.i = i
+
+ def foo(self):
+ return self.i
+
+ class MITypePy(Base1, Base2):
+ def __init__(self, i, j):
+ Base1.__init__(self, i)
+ Base2.__init__(self, j)
+
+ mt = MITypePy(3, 4)
+
+ assert mt.foo() == 3
+ assert mt.bar() == 4
+
+
+def test_multiple_inheritance_mix2():
+ from pybind11_tests import Base1
+
+ class Base2:
+ def __init__(self, i):
+ self.i = i
+
+ def bar(self):
+ return self.i
+
+ class MITypePy(Base1, Base2):
+ def __init__(self, i, j):
+ Base1.__init__(self, i)
+ Base2.__init__(self, j)
+
+ mt = MITypePy(3, 4)
+
+ assert mt.foo() == 3
+ assert mt.bar() == 4
+
+
+def test_multiple_inheritance_virtbase():
+ from pybind11_tests import Base12a, bar_base2a, bar_base2a_sharedptr
+
+ class MITypePy(Base12a):
+ def __init__(self, i, j):
+ Base12a.__init__(self, i, j)
+
+ mt = MITypePy(3, 4)
+ assert mt.bar() == 4
+ assert bar_base2a(mt) == 4
+ assert bar_base2a_sharedptr(mt) == 4
--- /dev/null
+/*
+ tests/test_numpy_array.cpp -- test core array functionality
+
+ Copyright (c) 2016 Ivan Smirnov <i.s.smirnov@gmail.com>
+
+ 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/numpy.h>
+#include <pybind11/stl.h>
+
+#include <cstdint>
+#include <vector>
+
+using arr = py::array;
+using arr_t = py::array_t<uint16_t, 0>;
+
+template<typename... Ix> arr data(const arr& a, Ix... index) {
+ return arr(a.nbytes() - a.offset_at(index...), (const uint8_t *) a.data(index...));
+}
+
+template<typename... Ix> arr data_t(const arr_t& a, Ix... index) {
+ return arr(a.size() - a.index_at(index...), a.data(index...));
+}
+
+arr& mutate_data(arr& a) {
+ auto ptr = (uint8_t *) a.mutable_data();
+ for (size_t i = 0; i < a.nbytes(); i++)
+ ptr[i] = (uint8_t) (ptr[i] * 2);
+ return a;
+}
+
+arr_t& mutate_data_t(arr_t& a) {
+ auto ptr = a.mutable_data();
+ for (size_t i = 0; i < a.size(); i++)
+ ptr[i]++;
+ return a;
+}
+
+template<typename... Ix> arr& mutate_data(arr& a, Ix... index) {
+ auto ptr = (uint8_t *) a.mutable_data(index...);
+ for (size_t i = 0; i < a.nbytes() - a.offset_at(index...); i++)
+ ptr[i] = (uint8_t) (ptr[i] * 2);
+ return a;
+}
+
+template<typename... Ix> arr_t& mutate_data_t(arr_t& a, Ix... index) {
+ auto ptr = a.mutable_data(index...);
+ for (size_t i = 0; i < a.size() - a.index_at(index...); i++)
+ ptr[i]++;
+ return a;
+}
+
+template<typename... Ix> size_t index_at(const arr& a, Ix... idx) { return a.index_at(idx...); }
+template<typename... Ix> size_t index_at_t(const arr_t& a, Ix... idx) { return a.index_at(idx...); }
+template<typename... Ix> size_t offset_at(const arr& a, Ix... idx) { return a.offset_at(idx...); }
+template<typename... Ix> size_t offset_at_t(const arr_t& a, Ix... idx) { return a.offset_at(idx...); }
+template<typename... Ix> size_t at_t(const arr_t& a, Ix... idx) { return a.at(idx...); }
+template<typename... Ix> arr_t& mutate_at_t(arr_t& a, Ix... idx) { a.mutable_at(idx...)++; return a; }
+
+#define def_index_fn(name, type) \
+ sm.def(#name, [](type a) { return name(a); }); \
+ sm.def(#name, [](type a, int i) { return name(a, i); }); \
+ sm.def(#name, [](type a, int i, int j) { return name(a, i, j); }); \
+ sm.def(#name, [](type a, int i, int j, int k) { return name(a, i, j, k); });
+
+test_initializer numpy_array([](py::module &m) {
+ auto sm = m.def_submodule("array");
+
+ sm.def("ndim", [](const arr& a) { return a.ndim(); });
+ sm.def("shape", [](const arr& a) { return arr(a.ndim(), a.shape()); });
+ sm.def("shape", [](const arr& a, size_t dim) { return a.shape(dim); });
+ sm.def("strides", [](const arr& a) { return arr(a.ndim(), a.strides()); });
+ sm.def("strides", [](const arr& a, size_t dim) { return a.strides(dim); });
+ sm.def("writeable", [](const arr& a) { return a.writeable(); });
+ sm.def("size", [](const arr& a) { return a.size(); });
+ sm.def("itemsize", [](const arr& a) { return a.itemsize(); });
+ sm.def("nbytes", [](const arr& a) { return a.nbytes(); });
+ sm.def("owndata", [](const arr& a) { return a.owndata(); });
+
+ def_index_fn(data, const arr&);
+ def_index_fn(data_t, const arr_t&);
+ def_index_fn(index_at, const arr&);
+ def_index_fn(index_at_t, const arr_t&);
+ def_index_fn(offset_at, const arr&);
+ def_index_fn(offset_at_t, const arr_t&);
+ def_index_fn(mutate_data, arr&);
+ def_index_fn(mutate_data_t, arr_t&);
+ def_index_fn(at_t, const arr_t&);
+ def_index_fn(mutate_at_t, arr_t&);
+
+ sm.def("make_f_array", [] {
+ return py::array_t<float>({ 2, 2 }, { 4, 8 });
+ });
+
+ sm.def("make_c_array", [] {
+ return py::array_t<float>({ 2, 2 }, { 8, 4 });
+ });
+
+ sm.def("wrap", [](py::array a) {
+ return py::array(
+ a.dtype(),
+ std::vector<size_t>(a.shape(), a.shape() + a.ndim()),
+ std::vector<size_t>(a.strides(), a.strides() + a.ndim()),
+ a.data(),
+ a
+ );
+ });
+
+ struct ArrayClass {
+ int data[2] = { 1, 2 };
+ ArrayClass() { py::print("ArrayClass()"); }
+ ~ArrayClass() { py::print("~ArrayClass()"); }
+ };
+
+ py::class_<ArrayClass>(sm, "ArrayClass")
+ .def(py::init<>())
+ .def("numpy_view", [](py::object &obj) {
+ py::print("ArrayClass::numpy_view()");
+ ArrayClass &a = obj.cast<ArrayClass&>();
+ return py::array_t<int>({2}, {4}, a.data, obj);
+ }
+ );
+
+ sm.def("function_taking_uint64", [](uint64_t) { });
+
+ sm.def("isinstance_untyped", [](py::object yes, py::object no) {
+ return py::isinstance<py::array>(yes) && !py::isinstance<py::array>(no);
+ });
+
+ sm.def("isinstance_typed", [](py::object o) {
+ return py::isinstance<py::array_t<double>>(o) && !py::isinstance<py::array_t<int>>(o);
+ });
+
+ sm.def("default_constructors", []() {
+ return py::dict(
+ "array"_a=py::array(),
+ "array_t<int32>"_a=py::array_t<std::int32_t>(),
+ "array_t<double>"_a=py::array_t<double>()
+ );
+ });
+
+ sm.def("converting_constructors", [](py::object o) {
+ return py::dict(
+ "array"_a=py::array(o),
+ "array_t<int32>"_a=py::array_t<std::int32_t>(o),
+ "array_t<double>"_a=py::array_t<double>(o)
+ );
+ });
+});
--- /dev/null
+import pytest
+import gc
+
+with pytest.suppress(ImportError):
+ import numpy as np
+
+
+@pytest.fixture(scope='function')
+def arr():
+ return np.array([[1, 2, 3], [4, 5, 6]], '<u2')
+
+
+@pytest.requires_numpy
+def test_array_attributes():
+ from pybind11_tests.array import (
+ ndim, shape, strides, writeable, size, itemsize, nbytes, owndata
+ )
+
+ a = np.array(0, 'f8')
+ assert ndim(a) == 0
+ assert all(shape(a) == [])
+ assert all(strides(a) == [])
+ with pytest.raises(IndexError) as excinfo:
+ shape(a, 0)
+ assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
+ with pytest.raises(IndexError) as excinfo:
+ strides(a, 0)
+ assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
+ assert writeable(a)
+ assert size(a) == 1
+ assert itemsize(a) == 8
+ assert nbytes(a) == 8
+ assert owndata(a)
+
+ a = np.array([[1, 2, 3], [4, 5, 6]], 'u2').view()
+ a.flags.writeable = False
+ assert ndim(a) == 2
+ assert all(shape(a) == [2, 3])
+ assert shape(a, 0) == 2
+ assert shape(a, 1) == 3
+ assert all(strides(a) == [6, 2])
+ assert strides(a, 0) == 6
+ assert strides(a, 1) == 2
+ with pytest.raises(IndexError) as excinfo:
+ shape(a, 2)
+ assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
+ with pytest.raises(IndexError) as excinfo:
+ strides(a, 2)
+ assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
+ assert not writeable(a)
+ assert size(a) == 6
+ assert itemsize(a) == 2
+ assert nbytes(a) == 12
+ assert not owndata(a)
+
+
+@pytest.requires_numpy
+@pytest.mark.parametrize('args, ret', [([], 0), ([0], 0), ([1], 3), ([0, 1], 1), ([1, 2], 5)])
+def test_index_offset(arr, args, ret):
+ from pybind11_tests.array import index_at, index_at_t, offset_at, offset_at_t
+ assert index_at(arr, *args) == ret
+ assert index_at_t(arr, *args) == ret
+ assert offset_at(arr, *args) == ret * arr.dtype.itemsize
+ assert offset_at_t(arr, *args) == ret * arr.dtype.itemsize
+
+
+@pytest.requires_numpy
+def test_dim_check_fail(arr):
+ from pybind11_tests.array import (index_at, index_at_t, offset_at, offset_at_t, data, data_t,
+ mutate_data, mutate_data_t)
+ for func in (index_at, index_at_t, offset_at, offset_at_t, data, data_t,
+ mutate_data, mutate_data_t):
+ with pytest.raises(IndexError) as excinfo:
+ func(arr, 1, 2, 3)
+ assert str(excinfo.value) == 'too many indices for an array: 3 (ndim = 2)'
+
+
+@pytest.requires_numpy
+@pytest.mark.parametrize('args, ret',
+ [([], [1, 2, 3, 4, 5, 6]),
+ ([1], [4, 5, 6]),
+ ([0, 1], [2, 3, 4, 5, 6]),
+ ([1, 2], [6])])
+def test_data(arr, args, ret):
+ from pybind11_tests.array import data, data_t
+ assert all(data_t(arr, *args) == ret)
+ assert all(data(arr, *args)[::2] == ret)
+ assert all(data(arr, *args)[1::2] == 0)
+
+
+@pytest.requires_numpy
+def test_mutate_readonly(arr):
+ from pybind11_tests.array import mutate_data, mutate_data_t, mutate_at_t
+ arr.flags.writeable = False
+ for func, args in (mutate_data, ()), (mutate_data_t, ()), (mutate_at_t, (0, 0)):
+ with pytest.raises(RuntimeError) as excinfo:
+ func(arr, *args)
+ assert str(excinfo.value) == 'array is not writeable'
+
+
+@pytest.requires_numpy
+@pytest.mark.parametrize('dim', [0, 1, 3])
+def test_at_fail(arr, dim):
+ from pybind11_tests.array import at_t, mutate_at_t
+ for func in at_t, mutate_at_t:
+ with pytest.raises(IndexError) as excinfo:
+ func(arr, *([0] * dim))
+ assert str(excinfo.value) == 'index dimension mismatch: {} (ndim = 2)'.format(dim)
+
+
+@pytest.requires_numpy
+def test_at(arr):
+ from pybind11_tests.array import at_t, mutate_at_t
+
+ assert at_t(arr, 0, 2) == 3
+ assert at_t(arr, 1, 0) == 4
+
+ assert all(mutate_at_t(arr, 0, 2).ravel() == [1, 2, 4, 4, 5, 6])
+ assert all(mutate_at_t(arr, 1, 0).ravel() == [1, 2, 4, 5, 5, 6])
+
+
+@pytest.requires_numpy
+def test_mutate_data(arr):
+ from pybind11_tests.array import mutate_data, mutate_data_t
+
+ assert all(mutate_data(arr).ravel() == [2, 4, 6, 8, 10, 12])
+ assert all(mutate_data(arr).ravel() == [4, 8, 12, 16, 20, 24])
+ assert all(mutate_data(arr, 1).ravel() == [4, 8, 12, 32, 40, 48])
+ assert all(mutate_data(arr, 0, 1).ravel() == [4, 16, 24, 64, 80, 96])
+ assert all(mutate_data(arr, 1, 2).ravel() == [4, 16, 24, 64, 80, 192])
+
+ assert all(mutate_data_t(arr).ravel() == [5, 17, 25, 65, 81, 193])
+ assert all(mutate_data_t(arr).ravel() == [6, 18, 26, 66, 82, 194])
+ assert all(mutate_data_t(arr, 1).ravel() == [6, 18, 26, 67, 83, 195])
+ assert all(mutate_data_t(arr, 0, 1).ravel() == [6, 19, 27, 68, 84, 196])
+ assert all(mutate_data_t(arr, 1, 2).ravel() == [6, 19, 27, 68, 84, 197])
+
+
+@pytest.requires_numpy
+def test_bounds_check(arr):
+ from pybind11_tests.array import (index_at, index_at_t, data, data_t,
+ mutate_data, mutate_data_t, at_t, mutate_at_t)
+ funcs = (index_at, index_at_t, data, data_t,
+ mutate_data, mutate_data_t, at_t, mutate_at_t)
+ for func in funcs:
+ with pytest.raises(IndexError) as excinfo:
+ func(arr, 2, 0)
+ assert str(excinfo.value) == 'index 2 is out of bounds for axis 0 with size 2'
+ with pytest.raises(IndexError) as excinfo:
+ func(arr, 0, 4)
+ assert str(excinfo.value) == 'index 4 is out of bounds for axis 1 with size 3'
+
+
+@pytest.requires_numpy
+def test_make_c_f_array():
+ from pybind11_tests.array import (
+ make_c_array, make_f_array
+ )
+ assert make_c_array().flags.c_contiguous
+ assert not make_c_array().flags.f_contiguous
+ assert make_f_array().flags.f_contiguous
+ assert not make_f_array().flags.c_contiguous
+
+
+@pytest.requires_numpy
+def test_wrap():
+ from pybind11_tests.array import wrap
+
+ def assert_references(a, b):
+ assert a is not b
+ assert a.__array_interface__['data'][0] == b.__array_interface__['data'][0]
+ assert a.shape == b.shape
+ assert a.strides == b.strides
+ assert a.flags.c_contiguous == b.flags.c_contiguous
+ assert a.flags.f_contiguous == b.flags.f_contiguous
+ assert a.flags.writeable == b.flags.writeable
+ assert a.flags.aligned == b.flags.aligned
+ assert a.flags.updateifcopy == b.flags.updateifcopy
+ assert np.all(a == b)
+ assert not b.flags.owndata
+ assert b.base is a
+ if a.flags.writeable and a.ndim == 2:
+ a[0, 0] = 1234
+ assert b[0, 0] == 1234
+
+ a1 = np.array([1, 2], dtype=np.int16)
+ assert a1.flags.owndata and a1.base is None
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+ a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='F')
+ assert a1.flags.owndata and a1.base is None
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+ a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='C')
+ a1.flags.writeable = False
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+ a1 = np.random.random((4, 4, 4))
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+ a1 = a1.transpose()
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+ a1 = a1.diagonal()
+ a2 = wrap(a1)
+ assert_references(a1, a2)
+
+
+@pytest.requires_numpy
+def test_numpy_view(capture):
+ from pybind11_tests.array import ArrayClass
+ with capture:
+ ac = ArrayClass()
+ ac_view_1 = ac.numpy_view()
+ ac_view_2 = ac.numpy_view()
+ assert np.all(ac_view_1 == np.array([1, 2], dtype=np.int32))
+ del ac
+ gc.collect()
+ assert capture == """
+ ArrayClass()
+ ArrayClass::numpy_view()
+ ArrayClass::numpy_view()
+ """
+ ac_view_1[0] = 4
+ ac_view_1[1] = 3
+ assert ac_view_2[0] == 4
+ assert ac_view_2[1] == 3
+ with capture:
+ del ac_view_1
+ del ac_view_2
+ gc.collect()
+ assert capture == """
+ ~ArrayClass()
+ """
+
+
+@pytest.requires_numpy
+def test_cast_numpy_int64_to_uint64():
+ from pybind11_tests.array import function_taking_uint64
+ function_taking_uint64(123)
+ function_taking_uint64(np.uint64(123))
+
+
+@pytest.requires_numpy
+def test_isinstance():
+ from pybind11_tests.array import isinstance_untyped, isinstance_typed
+
+ assert isinstance_untyped(np.array([1, 2, 3]), "not an array")
+ assert isinstance_typed(np.array([1.0, 2.0, 3.0]))
+
+
+@pytest.requires_numpy
+def test_constructors():
+ from pybind11_tests.array import default_constructors, converting_constructors
+
+ defaults = default_constructors()
+ for a in defaults.values():
+ assert a.size == 0
+ assert defaults["array"].dtype == np.array([]).dtype
+ assert defaults["array_t<int32>"].dtype == np.int32
+ assert defaults["array_t<double>"].dtype == np.float64
+
+ results = converting_constructors([1, 2, 3])
+ for a in results.values():
+ np.testing.assert_array_equal(a, [1, 2, 3])
+ assert results["array"].dtype == np.int_
+ assert results["array_t<int32>"].dtype == np.int32
+ assert results["array_t<double>"].dtype == np.float64
--- /dev/null
+/*
+ tests/test_numpy_dtypes.cpp -- Structured and compound NumPy dtypes
+
+ Copyright (c) 2016 Ivan Smirnov
+
+ 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/numpy.h>
+
+#ifdef __GNUC__
+#define PYBIND11_PACKED(cls) cls __attribute__((__packed__))
+#else
+#define PYBIND11_PACKED(cls) __pragma(pack(push, 1)) cls __pragma(pack(pop))
+#endif
+
+namespace py = pybind11;
+
+struct SimpleStruct {
+ bool x;
+ uint32_t y;
+ float z;
+};
+
+std::ostream& operator<<(std::ostream& os, const SimpleStruct& v) {
+ return os << "s:" << v.x << "," << v.y << "," << v.z;
+}
+
+PYBIND11_PACKED(struct PackedStruct {
+ bool x;
+ uint32_t y;
+ float z;
+});
+
+std::ostream& operator<<(std::ostream& os, const PackedStruct& v) {
+ return os << "p:" << v.x << "," << v.y << "," << v.z;
+}
+
+PYBIND11_PACKED(struct NestedStruct {
+ SimpleStruct a;
+ PackedStruct b;
+});
+
+std::ostream& operator<<(std::ostream& os, const NestedStruct& v) {
+ return os << "n:a=" << v.a << ";b=" << v.b;
+}
+
+struct PartialStruct {
+ bool x;
+ uint32_t y;
+ float z;
+ uint64_t dummy2;
+};
+
+struct PartialNestedStruct {
+ uint64_t dummy1;
+ PartialStruct a;
+ uint64_t dummy2;
+};
+
+struct UnboundStruct { };
+
+struct StringStruct {
+ char a[3];
+ std::array<char, 3> b;
+};
+
+PYBIND11_PACKED(struct StructWithUglyNames {
+ int8_t __x__;
+ uint64_t __y__;
+});
+
+enum class E1 : int64_t { A = -1, B = 1 };
+enum E2 : uint8_t { X = 1, Y = 2 };
+
+PYBIND11_PACKED(struct EnumStruct {
+ E1 e1;
+ E2 e2;
+});
+
+std::ostream& operator<<(std::ostream& os, const StringStruct& v) {
+ os << "a='";
+ for (size_t i = 0; i < 3 && v.a[i]; i++) os << v.a[i];
+ os << "',b='";
+ for (size_t i = 0; i < 3 && v.b[i]; i++) os << v.b[i];
+ return os << "'";
+}
+
+std::ostream& operator<<(std::ostream& os, const EnumStruct& v) {
+ return os << "e1=" << (v.e1 == E1::A ? "A" : "B") << ",e2=" << (v.e2 == E2::X ? "X" : "Y");
+}
+
+template <typename T>
+py::array mkarray_via_buffer(size_t n) {
+ return py::array(py::buffer_info(nullptr, sizeof(T),
+ py::format_descriptor<T>::format(),
+ 1, { n }, { sizeof(T) }));
+}
+
+template <typename S>
+py::array_t<S, 0> create_recarray(size_t n) {
+ auto arr = mkarray_via_buffer<S>(n);
+ auto req = arr.request();
+ auto ptr = static_cast<S*>(req.ptr);
+ for (size_t i = 0; i < n; i++) {
+ ptr[i].x = i % 2 != 0; ptr[i].y = (uint32_t) i; ptr[i].z = (float) i * 1.5f;
+ }
+ return arr;
+}
+
+std::string get_format_unbound() {
+ return py::format_descriptor<UnboundStruct>::format();
+}
+
+py::array_t<NestedStruct, 0> create_nested(size_t n) {
+ auto arr = mkarray_via_buffer<NestedStruct>(n);
+ auto req = arr.request();
+ auto ptr = static_cast<NestedStruct*>(req.ptr);
+ for (size_t i = 0; i < n; i++) {
+ ptr[i].a.x = i % 2 != 0; ptr[i].a.y = (uint32_t) i; ptr[i].a.z = (float) i * 1.5f;
+ ptr[i].b.x = (i + 1) % 2 != 0; ptr[i].b.y = (uint32_t) (i + 1); ptr[i].b.z = (float) (i + 1) * 1.5f;
+ }
+ return arr;
+}
+
+py::array_t<PartialNestedStruct, 0> create_partial_nested(size_t n) {
+ auto arr = mkarray_via_buffer<PartialNestedStruct>(n);
+ auto req = arr.request();
+ auto ptr = static_cast<PartialNestedStruct*>(req.ptr);
+ for (size_t i = 0; i < n; i++) {
+ ptr[i].a.x = i % 2 != 0; ptr[i].a.y = (uint32_t) i; ptr[i].a.z = (float) i * 1.5f;
+ }
+ return arr;
+}
+
+py::array_t<StringStruct, 0> create_string_array(bool non_empty) {
+ auto arr = mkarray_via_buffer<StringStruct>(non_empty ? 4 : 0);
+ if (non_empty) {
+ auto req = arr.request();
+ auto ptr = static_cast<StringStruct*>(req.ptr);
+ for (size_t i = 0; i < req.size * req.itemsize; i++)
+ static_cast<char*>(req.ptr)[i] = 0;
+ ptr[1].a[0] = 'a'; ptr[1].b[0] = 'a';
+ ptr[2].a[0] = 'a'; ptr[2].b[0] = 'a';
+ ptr[3].a[0] = 'a'; ptr[3].b[0] = 'a';
+
+ ptr[2].a[1] = 'b'; ptr[2].b[1] = 'b';
+ ptr[3].a[1] = 'b'; ptr[3].b[1] = 'b';
+
+ ptr[3].a[2] = 'c'; ptr[3].b[2] = 'c';
+ }
+ return arr;
+}
+
+py::array_t<EnumStruct, 0> create_enum_array(size_t n) {
+ auto arr = mkarray_via_buffer<EnumStruct>(n);
+ auto ptr = (EnumStruct *) arr.mutable_data();
+ for (size_t i = 0; i < n; i++) {
+ ptr[i].e1 = static_cast<E1>(-1 + ((int) i % 2) * 2);
+ ptr[i].e2 = static_cast<E2>(1 + (i % 2));
+ }
+ return arr;
+}
+
+template <typename S>
+py::list print_recarray(py::array_t<S, 0> arr) {
+ const auto req = arr.request();
+ const auto ptr = static_cast<S*>(req.ptr);
+ auto l = py::list();
+ for (size_t i = 0; i < req.size; i++) {
+ std::stringstream ss;
+ ss << ptr[i];
+ l.append(py::str(ss.str()));
+ }
+ return l;
+}
+
+py::list print_format_descriptors() {
+ const auto fmts = {
+ py::format_descriptor<SimpleStruct>::format(),
+ py::format_descriptor<PackedStruct>::format(),
+ py::format_descriptor<NestedStruct>::format(),
+ py::format_descriptor<PartialStruct>::format(),
+ py::format_descriptor<PartialNestedStruct>::format(),
+ py::format_descriptor<StringStruct>::format(),
+ py::format_descriptor<EnumStruct>::format()
+ };
+ auto l = py::list();
+ for (const auto &fmt : fmts) {
+ l.append(py::cast(fmt));
+ }
+ return l;
+}
+
+py::list print_dtypes() {
+ const auto dtypes = {
+ py::str(py::dtype::of<SimpleStruct>()),
+ py::str(py::dtype::of<PackedStruct>()),
+ py::str(py::dtype::of<NestedStruct>()),
+ py::str(py::dtype::of<PartialStruct>()),
+ py::str(py::dtype::of<PartialNestedStruct>()),
+ py::str(py::dtype::of<StringStruct>()),
+ py::str(py::dtype::of<EnumStruct>()),
+ py::str(py::dtype::of<StructWithUglyNames>())
+ };
+ auto l = py::list();
+ for (const auto &s : dtypes) {
+ l.append(s);
+ }
+ return l;
+}
+
+py::array_t<int32_t, 0> test_array_ctors(int i) {
+ using arr_t = py::array_t<int32_t, 0>;
+
+ std::vector<int32_t> data { 1, 2, 3, 4, 5, 6 };
+ std::vector<size_t> shape { 3, 2 };
+ std::vector<size_t> strides { 8, 4 };
+
+ auto ptr = data.data();
+ auto vptr = (void *) ptr;
+ auto dtype = py::dtype("int32");
+
+ py::buffer_info buf_ndim1(vptr, 4, "i", 6);
+ py::buffer_info buf_ndim1_null(nullptr, 4, "i", 6);
+ py::buffer_info buf_ndim2(vptr, 4, "i", 2, shape, strides);
+ py::buffer_info buf_ndim2_null(nullptr, 4, "i", 2, shape, strides);
+
+ auto fill = [](py::array arr) {
+ auto req = arr.request();
+ for (int i = 0; i < 6; i++) ((int32_t *) req.ptr)[i] = i + 1;
+ return arr;
+ };
+
+ switch (i) {
+ // shape: (3, 2)
+ case 10: return arr_t(shape, strides, ptr);
+ case 11: return py::array(shape, strides, ptr);
+ case 12: return py::array(dtype, shape, strides, vptr);
+ case 13: return arr_t(shape, ptr);
+ case 14: return py::array(shape, ptr);
+ case 15: return py::array(dtype, shape, vptr);
+ case 16: return arr_t(buf_ndim2);
+ case 17: return py::array(buf_ndim2);
+ // shape: (3, 2) - post-fill
+ case 20: return fill(arr_t(shape, strides));
+ case 21: return py::array(shape, strides, ptr); // can't have nullptr due to templated ctor
+ case 22: return fill(py::array(dtype, shape, strides));
+ case 23: return fill(arr_t(shape));
+ case 24: return py::array(shape, ptr); // can't have nullptr due to templated ctor
+ case 25: return fill(py::array(dtype, shape));
+ case 26: return fill(arr_t(buf_ndim2_null));
+ case 27: return fill(py::array(buf_ndim2_null));
+ // shape: (6, )
+ case 30: return arr_t(6, ptr);
+ case 31: return py::array(6, ptr);
+ case 32: return py::array(dtype, 6, vptr);
+ case 33: return arr_t(buf_ndim1);
+ case 34: return py::array(buf_ndim1);
+ // shape: (6, )
+ case 40: return fill(arr_t(6));
+ case 41: return py::array(6, ptr); // can't have nullptr due to templated ctor
+ case 42: return fill(py::array(dtype, 6));
+ case 43: return fill(arr_t(buf_ndim1_null));
+ case 44: return fill(py::array(buf_ndim1_null));
+ }
+ return arr_t();
+}
+
+py::list test_dtype_ctors() {
+ py::list list;
+ list.append(py::dtype("int32"));
+ list.append(py::dtype(std::string("float64")));
+ list.append(py::dtype::from_args(py::str("bool")));
+ py::list names, offsets, formats;
+ py::dict dict;
+ names.append(py::str("a")); names.append(py::str("b")); dict["names"] = names;
+ offsets.append(py::int_(1)); offsets.append(py::int_(10)); dict["offsets"] = offsets;
+ formats.append(py::dtype("int32")); formats.append(py::dtype("float64")); dict["formats"] = formats;
+ dict["itemsize"] = py::int_(20);
+ list.append(py::dtype::from_args(dict));
+ list.append(py::dtype(names, formats, offsets, 20));
+ list.append(py::dtype(py::buffer_info((void *) 0, sizeof(unsigned int), "I", 1)));
+ list.append(py::dtype(py::buffer_info((void *) 0, 0, "T{i:a:f:b:}", 1)));
+ return list;
+}
+
+struct TrailingPaddingStruct {
+ int32_t a;
+ char b;
+};
+
+py::dtype trailing_padding_dtype() {
+ return py::dtype::of<TrailingPaddingStruct>();
+}
+
+py::dtype buffer_to_dtype(py::buffer& buf) {
+ return py::dtype(buf.request());
+}
+
+py::list test_dtype_methods() {
+ py::list list;
+ auto dt1 = py::dtype::of<int32_t>();
+ auto dt2 = py::dtype::of<SimpleStruct>();
+ list.append(dt1); list.append(dt2);
+ list.append(py::bool_(dt1.has_fields())); list.append(py::bool_(dt2.has_fields()));
+ list.append(py::int_(dt1.itemsize())); list.append(py::int_(dt2.itemsize()));
+ return list;
+}
+
+test_initializer numpy_dtypes([](py::module &m) {
+ try {
+ py::module::import("numpy");
+ } catch (...) {
+ return;
+ }
+
+ // typeinfo may be registered before the dtype descriptor for scalar casts to work...
+ py::class_<SimpleStruct>(m, "SimpleStruct");
+
+ PYBIND11_NUMPY_DTYPE(SimpleStruct, x, y, z);
+ PYBIND11_NUMPY_DTYPE(PackedStruct, x, y, z);
+ PYBIND11_NUMPY_DTYPE(NestedStruct, a, b);
+ PYBIND11_NUMPY_DTYPE(PartialStruct, x, y, z);
+ PYBIND11_NUMPY_DTYPE(PartialNestedStruct, a);
+ PYBIND11_NUMPY_DTYPE(StringStruct, a, b);
+ PYBIND11_NUMPY_DTYPE(EnumStruct, e1, e2);
+ PYBIND11_NUMPY_DTYPE(TrailingPaddingStruct, a, b);
+
+ // ... or after
+ py::class_<PackedStruct>(m, "PackedStruct");
+
+ PYBIND11_NUMPY_DTYPE_EX(StructWithUglyNames, __x__, "x", __y__, "y");
+
+ m.def("create_rec_simple", &create_recarray<SimpleStruct>);
+ m.def("create_rec_packed", &create_recarray<PackedStruct>);
+ m.def("create_rec_nested", &create_nested);
+ m.def("create_rec_partial", &create_recarray<PartialStruct>);
+ m.def("create_rec_partial_nested", &create_partial_nested);
+ m.def("print_format_descriptors", &print_format_descriptors);
+ m.def("print_rec_simple", &print_recarray<SimpleStruct>);
+ m.def("print_rec_packed", &print_recarray<PackedStruct>);
+ m.def("print_rec_nested", &print_recarray<NestedStruct>);
+ m.def("print_dtypes", &print_dtypes);
+ m.def("get_format_unbound", &get_format_unbound);
+ m.def("create_string_array", &create_string_array);
+ m.def("print_string_array", &print_recarray<StringStruct>);
+ m.def("create_enum_array", &create_enum_array);
+ m.def("print_enum_array", &print_recarray<EnumStruct>);
+ m.def("test_array_ctors", &test_array_ctors);
+ m.def("test_dtype_ctors", &test_dtype_ctors);
+ m.def("test_dtype_methods", &test_dtype_methods);
+ m.def("trailing_padding_dtype", &trailing_padding_dtype);
+ m.def("buffer_to_dtype", &buffer_to_dtype);
+ m.def("f_simple", [](SimpleStruct s) { return s.y * 10; });
+ m.def("f_packed", [](PackedStruct s) { return s.y * 10; });
+ m.def("f_nested", [](NestedStruct s) { return s.a.y * 10; });
+ m.def("register_dtype", []() { PYBIND11_NUMPY_DTYPE(SimpleStruct, x, y, z); });
+});
+
+#undef PYBIND11_PACKED
--- /dev/null
+import re
+import pytest
+
+with pytest.suppress(ImportError):
+ import numpy as np
+
+
+@pytest.fixture(scope='module')
+def simple_dtype():
+ return np.dtype({'names': ['x', 'y', 'z'],
+ 'formats': ['?', 'u4', 'f4'],
+ 'offsets': [0, 4, 8]})
+
+
+@pytest.fixture(scope='module')
+def packed_dtype():
+ return np.dtype([('x', '?'), ('y', 'u4'), ('z', 'f4')])
+
+
+def assert_equal(actual, expected_data, expected_dtype):
+ np.testing.assert_equal(actual, np.array(expected_data, dtype=expected_dtype))
+
+
+@pytest.requires_numpy
+def test_format_descriptors():
+ from pybind11_tests import get_format_unbound, print_format_descriptors
+
+ with pytest.raises(RuntimeError) as excinfo:
+ get_format_unbound()
+ assert re.match('^NumPy type info missing for .*UnboundStruct.*$', str(excinfo.value))
+
+ assert print_format_descriptors() == [
+ "T{?:x:3xI:y:f:z:}",
+ "T{?:x:=I:y:=f:z:}",
+ "T{T{?:x:3xI:y:f:z:}:a:T{?:x:=I:y:=f:z:}:b:}",
+ "T{?:x:3xI:y:f:z:12x}",
+ "T{8xT{?:x:3xI:y:f:z:12x}:a:8x}",
+ "T{3s:a:3s:b:}",
+ 'T{q:e1:B:e2:}'
+ ]
+
+
+@pytest.requires_numpy
+def test_dtype(simple_dtype):
+ from pybind11_tests import (print_dtypes, test_dtype_ctors, test_dtype_methods,
+ trailing_padding_dtype, buffer_to_dtype)
+
+ assert print_dtypes() == [
+ "{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':12}",
+ "[('x', '?'), ('y', '<u4'), ('z', '<f4')]",
+ "[('a', {'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8],"
+ " 'itemsize':12}), ('b', [('x', '?'), ('y', '<u4'), ('z', '<f4')])]",
+ "{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':24}",
+ "{'names':['a'], 'formats':[{'names':['x','y','z'], 'formats':['?','<u4','<f4'],"
+ " 'offsets':[0,4,8], 'itemsize':24}], 'offsets':[8], 'itemsize':40}",
+ "[('a', 'S3'), ('b', 'S3')]",
+ "[('e1', '<i8'), ('e2', 'u1')]",
+ "[('x', 'i1'), ('y', '<u8')]"
+ ]
+
+ d1 = np.dtype({'names': ['a', 'b'], 'formats': ['int32', 'float64'],
+ 'offsets': [1, 10], 'itemsize': 20})
+ d2 = np.dtype([('a', 'i4'), ('b', 'f4')])
+ assert test_dtype_ctors() == [np.dtype('int32'), np.dtype('float64'),
+ np.dtype('bool'), d1, d1, np.dtype('uint32'), d2]
+
+ assert test_dtype_methods() == [np.dtype('int32'), simple_dtype, False, True,
+ np.dtype('int32').itemsize, simple_dtype.itemsize]
+
+ assert trailing_padding_dtype() == buffer_to_dtype(np.zeros(1, trailing_padding_dtype()))
+
+
+@pytest.requires_numpy
+def test_recarray(simple_dtype, packed_dtype):
+ from pybind11_tests import (create_rec_simple, create_rec_packed, create_rec_nested,
+ print_rec_simple, print_rec_packed, print_rec_nested,
+ create_rec_partial, create_rec_partial_nested)
+
+ elements = [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)]
+
+ for func, dtype in [(create_rec_simple, simple_dtype), (create_rec_packed, packed_dtype)]:
+ arr = func(0)
+ assert arr.dtype == dtype
+ assert_equal(arr, [], simple_dtype)
+ assert_equal(arr, [], packed_dtype)
+
+ arr = func(3)
+ assert arr.dtype == dtype
+ assert_equal(arr, elements, simple_dtype)
+ assert_equal(arr, elements, packed_dtype)
+
+ if dtype == simple_dtype:
+ assert print_rec_simple(arr) == [
+ "s:0,0,0",
+ "s:1,1,1.5",
+ "s:0,2,3"
+ ]
+ else:
+ assert print_rec_packed(arr) == [
+ "p:0,0,0",
+ "p:1,1,1.5",
+ "p:0,2,3"
+ ]
+
+ nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
+
+ arr = create_rec_nested(0)
+ assert arr.dtype == nested_dtype
+ assert_equal(arr, [], nested_dtype)
+
+ arr = create_rec_nested(3)
+ assert arr.dtype == nested_dtype
+ assert_equal(arr, [((False, 0, 0.0), (True, 1, 1.5)),
+ ((True, 1, 1.5), (False, 2, 3.0)),
+ ((False, 2, 3.0), (True, 3, 4.5))], nested_dtype)
+ assert print_rec_nested(arr) == [
+ "n:a=s:0,0,0;b=p:1,1,1.5",
+ "n:a=s:1,1,1.5;b=p:0,2,3",
+ "n:a=s:0,2,3;b=p:1,3,4.5"
+ ]
+
+ arr = create_rec_partial(3)
+ assert str(arr.dtype) == \
+ "{'names':['x','y','z'], 'formats':['?','<u4','<f4'], 'offsets':[0,4,8], 'itemsize':24}"
+ partial_dtype = arr.dtype
+ assert '' not in arr.dtype.fields
+ assert partial_dtype.itemsize > simple_dtype.itemsize
+ assert_equal(arr, elements, simple_dtype)
+ assert_equal(arr, elements, packed_dtype)
+
+ arr = create_rec_partial_nested(3)
+ assert str(arr.dtype) == \
+ "{'names':['a'], 'formats':[{'names':['x','y','z'], 'formats':['?','<u4','<f4']," \
+ " 'offsets':[0,4,8], 'itemsize':24}], 'offsets':[8], 'itemsize':40}"
+ assert '' not in arr.dtype.fields
+ assert '' not in arr.dtype.fields['a'][0].fields
+ assert arr.dtype.itemsize > partial_dtype.itemsize
+ np.testing.assert_equal(arr['a'], create_rec_partial(3))
+
+
+@pytest.requires_numpy
+def test_array_constructors():
+ from pybind11_tests import test_array_ctors
+
+ data = np.arange(1, 7, dtype='int32')
+ for i in range(8):
+ np.testing.assert_array_equal(test_array_ctors(10 + i), data.reshape((3, 2)))
+ np.testing.assert_array_equal(test_array_ctors(20 + i), data.reshape((3, 2)))
+ for i in range(5):
+ np.testing.assert_array_equal(test_array_ctors(30 + i), data)
+ np.testing.assert_array_equal(test_array_ctors(40 + i), data)
+
+
+@pytest.requires_numpy
+def test_string_array():
+ from pybind11_tests import create_string_array, print_string_array
+
+ arr = create_string_array(True)
+ assert str(arr.dtype) == "[('a', 'S3'), ('b', 'S3')]"
+ assert print_string_array(arr) == [
+ "a='',b=''",
+ "a='a',b='a'",
+ "a='ab',b='ab'",
+ "a='abc',b='abc'"
+ ]
+ dtype = arr.dtype
+ assert arr['a'].tolist() == [b'', b'a', b'ab', b'abc']
+ assert arr['b'].tolist() == [b'', b'a', b'ab', b'abc']
+ arr = create_string_array(False)
+ assert dtype == arr.dtype
+
+
+@pytest.requires_numpy
+def test_enum_array():
+ from pybind11_tests import create_enum_array, print_enum_array
+
+ arr = create_enum_array(3)
+ dtype = arr.dtype
+ assert dtype == np.dtype([('e1', '<i8'), ('e2', 'u1')])
+ assert print_enum_array(arr) == [
+ "e1=A,e2=X",
+ "e1=B,e2=Y",
+ "e1=A,e2=X"
+ ]
+ assert arr['e1'].tolist() == [-1, 1, -1]
+ assert arr['e2'].tolist() == [1, 2, 1]
+ assert create_enum_array(0).dtype == dtype
+
+
+@pytest.requires_numpy
+def test_signature(doc):
+ from pybind11_tests import create_rec_nested
+
+ assert doc(create_rec_nested) == "create_rec_nested(arg0: int) -> numpy.ndarray[NestedStruct]"
+
+
+@pytest.requires_numpy
+def test_scalar_conversion():
+ from pybind11_tests import (create_rec_simple, f_simple,
+ create_rec_packed, f_packed,
+ create_rec_nested, f_nested,
+ create_enum_array)
+
+ n = 3
+ arrays = [create_rec_simple(n), create_rec_packed(n),
+ create_rec_nested(n), create_enum_array(n)]
+ funcs = [f_simple, f_packed, f_nested]
+
+ for i, func in enumerate(funcs):
+ for j, arr in enumerate(arrays):
+ if i == j and i < 2:
+ assert [func(arr[k]) for k in range(n)] == [k * 10 for k in range(n)]
+ else:
+ with pytest.raises(TypeError) as excinfo:
+ func(arr[0])
+ assert 'incompatible function arguments' in str(excinfo.value)
+
+
+@pytest.requires_numpy
+def test_register_dtype():
+ from pybind11_tests import register_dtype
+
+ with pytest.raises(RuntimeError) as excinfo:
+ register_dtype()
+ assert 'dtype is already registered' in str(excinfo.value)
--- /dev/null
+/*
+ tests/test_numpy_vectorize.cpp -- auto-vectorize functions over NumPy array
+ arguments
+
+ 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/numpy.h>
+
+double my_func(int x, float y, double z) {
+ py::print("my_func(x:int={}, y:float={:.0f}, z:float={:.0f})"_s.format(x, y, z));
+ return (float) x*y*z;
+}
+
+std::complex<double> my_func3(std::complex<double> c) {
+ return c * std::complex<double>(2.f);
+}
+
+test_initializer numpy_vectorize([](py::module &m) {
+ // Vectorize all arguments of a function (though non-vector arguments are also allowed)
+ m.def("vectorized_func", py::vectorize(my_func));
+
+ // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
+ m.def("vectorized_func2",
+ [](py::array_t<int> x, py::array_t<float> y, float z) {
+ return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y);
+ }
+ );
+
+ // Vectorize a complex-valued function
+ m.def("vectorized_func3", py::vectorize(my_func3));
+
+ /// Numpy function which only accepts specific data types
+ m.def("selective_func", [](py::array_t<int, py::array::c_style>) { return "Int branch taken."; });
+ m.def("selective_func", [](py::array_t<float, py::array::c_style>) { return "Float branch taken."; });
+ m.def("selective_func", [](py::array_t<std::complex<float>, py::array::c_style>) { return "Complex float branch taken."; });
+});
--- /dev/null
+import pytest
+
+with pytest.suppress(ImportError):
+ import numpy as np
+
+
+@pytest.requires_numpy
+def test_vectorize(capture):
+ from pybind11_tests import vectorized_func, vectorized_func2, vectorized_func3
+
+ assert np.isclose(vectorized_func3(np.array(3 + 7j)), [6 + 14j])
+
+ for f in [vectorized_func, vectorized_func2]:
+ with capture:
+ assert np.isclose(f(1, 2, 3), 6)
+ assert capture == "my_func(x:int=1, y:float=2, z:float=3)"
+ with capture:
+ assert np.isclose(f(np.array(1), np.array(2), 3), 6)
+ assert capture == "my_func(x:int=1, y:float=2, z:float=3)"
+ with capture:
+ assert np.allclose(f(np.array([1, 3]), np.array([2, 4]), 3), [6, 36])
+ assert capture == """
+ my_func(x:int=1, y:float=2, z:float=3)
+ my_func(x:int=3, y:float=4, z:float=3)
+ """
+ with capture:
+ a, b, c = np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3
+ assert np.allclose(f(a, b, c), a * b * c)
+ assert capture == """
+ my_func(x:int=1, y:float=2, z:float=3)
+ my_func(x:int=3, y:float=4, z:float=3)
+ my_func(x:int=5, y:float=6, z:float=3)
+ my_func(x:int=7, y:float=8, z:float=3)
+ my_func(x:int=9, y:float=10, z:float=3)
+ my_func(x:int=11, y:float=12, z:float=3)
+ """
+ with capture:
+ a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2
+ assert np.allclose(f(a, b, c), a * b * c)
+ assert capture == """
+ my_func(x:int=1, y:float=2, z:float=2)
+ my_func(x:int=2, y:float=3, z:float=2)
+ my_func(x:int=3, y:float=4, z:float=2)
+ my_func(x:int=4, y:float=2, z:float=2)
+ my_func(x:int=5, y:float=3, z:float=2)
+ my_func(x:int=6, y:float=4, z:float=2)
+ """
+ with capture:
+ a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2
+ assert np.allclose(f(a, b, c), a * b * c)
+ assert capture == """
+ my_func(x:int=1, y:float=2, z:float=2)
+ my_func(x:int=2, y:float=2, z:float=2)
+ my_func(x:int=3, y:float=2, z:float=2)
+ my_func(x:int=4, y:float=3, z:float=2)
+ my_func(x:int=5, y:float=3, z:float=2)
+ my_func(x:int=6, y:float=3, z:float=2)
+ """
+
+
+@pytest.requires_numpy
+def test_type_selection():
+ from pybind11_tests import selective_func
+
+ assert selective_func(np.array([1], dtype=np.int32)) == "Int branch taken."
+ assert selective_func(np.array([1.0], dtype=np.float32)) == "Float branch taken."
+ assert selective_func(np.array([1.0j], dtype=np.complex64)) == "Complex float branch taken."
+
+
+@pytest.requires_numpy
+def test_docs(doc):
+ from pybind11_tests import vectorized_func
+
+ assert doc(vectorized_func) == """
+ vectorized_func(arg0: numpy.ndarray[int], arg1: numpy.ndarray[float], arg2: numpy.ndarray[float]) -> object
+ """ # noqa: E501 line too long
--- /dev/null
+/*
+ tests/test_opaque_types.cpp -- opaque types, passing void pointers
+
+ 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/stl.h>
+#include <vector>
+
+typedef std::vector<std::string> StringList;
+
+class ClassWithSTLVecProperty {
+public:
+ StringList stringList;
+};
+
+/* IMPORTANT: Disable internal pybind11 translation mechanisms for STL data structures */
+PYBIND11_MAKE_OPAQUE(StringList);
+
+test_initializer opaque_types([](py::module &m) {
+ py::class_<StringList>(m, "StringList")
+ .def(py::init<>())
+ .def("pop_back", &StringList::pop_back)
+ /* There are multiple versions of push_back(), etc. Select the right ones. */
+ .def("push_back", (void (StringList::*)(const std::string &)) &StringList::push_back)
+ .def("back", (std::string &(StringList::*)()) &StringList::back)
+ .def("__len__", [](const StringList &v) { return v.size(); })
+ .def("__iter__", [](StringList &v) {
+ return py::make_iterator(v.begin(), v.end());
+ }, py::keep_alive<0, 1>());
+
+ py::class_<ClassWithSTLVecProperty>(m, "ClassWithSTLVecProperty")
+ .def(py::init<>())
+ .def_readwrite("stringList", &ClassWithSTLVecProperty::stringList);
+
+ m.def("print_opaque_list", [](const StringList &l) {
+ std::string ret = "Opaque list: [";
+ bool first = true;
+ for (auto entry : l) {
+ if (!first)
+ ret += ", ";
+ ret += entry;
+ first = false;
+ }
+ return ret + "]";
+ });
+
+ m.def("return_void_ptr", []() { return (void *) 0x1234; });
+ m.def("get_void_ptr_value", [](void *ptr) { return reinterpret_cast<std::intptr_t>(ptr); });
+ m.def("return_null_str", []() { return (char *) nullptr; });
+ m.def("get_null_str_value", [](char *ptr) { return reinterpret_cast<std::intptr_t>(ptr); });
+
+ m.def("return_unique_ptr", []() -> std::unique_ptr<StringList> {
+ StringList *result = new StringList();
+ result->push_back("some value");
+ return std::unique_ptr<StringList>(result);
+ });
+});
--- /dev/null
+import pytest
+
+
+def test_string_list():
+ from pybind11_tests import StringList, ClassWithSTLVecProperty, print_opaque_list
+
+ l = StringList()
+ l.push_back("Element 1")
+ l.push_back("Element 2")
+ assert print_opaque_list(l) == "Opaque list: [Element 1, Element 2]"
+ assert l.back() == "Element 2"
+
+ for i, k in enumerate(l, start=1):
+ assert k == "Element {}".format(i)
+ l.pop_back()
+ assert print_opaque_list(l) == "Opaque list: [Element 1]"
+
+ cvp = ClassWithSTLVecProperty()
+ assert print_opaque_list(cvp.stringList) == "Opaque list: []"
+
+ cvp.stringList = l
+ cvp.stringList.push_back("Element 3")
+ assert print_opaque_list(cvp.stringList) == "Opaque list: [Element 1, Element 3]"
+
+
+def test_pointers(msg):
+ from pybind11_tests import (return_void_ptr, get_void_ptr_value, ExampleMandA,
+ print_opaque_list, return_null_str, get_null_str_value,
+ return_unique_ptr, ConstructorStats)
+
+ assert get_void_ptr_value(return_void_ptr()) == 0x1234
+ assert get_void_ptr_value(ExampleMandA()) # Should also work for other C++ types
+ assert ConstructorStats.get(ExampleMandA).alive() == 0
+
+ with pytest.raises(TypeError) as excinfo:
+ get_void_ptr_value([1, 2, 3]) # This should not work
+ assert msg(excinfo.value) == """
+ get_void_ptr_value(): incompatible function arguments. The following argument types are supported:
+ 1. (arg0: capsule) -> int
+
+ Invoked with: [1, 2, 3]
+ """ # noqa: E501 line too long
+
+ assert return_null_str() is None
+ assert get_null_str_value(return_null_str()) is not None
+
+ ptr = return_unique_ptr()
+ assert "StringList" in repr(ptr)
+ assert print_opaque_list(ptr) == "Opaque list: [some value]"
--- /dev/null
+/*
+ tests/test_operator_overloading.cpp -- 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.
+*/
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+#include <pybind11/operators.h>
+
+class Vector2 {
+public:
+ Vector2(float x, float y) : x(x), y(y) { print_created(this, toString()); }
+ Vector2(const Vector2 &v) : x(v.x), y(v.y) { print_copy_created(this); }
+ Vector2(Vector2 &&v) : x(v.x), y(v.y) { print_move_created(this); v.x = v.y = 0; }
+ ~Vector2() { print_destroyed(this); }
+
+ std::string toString() const {
+ return "[" + std::to_string(x) + ", " + std::to_string(y) + "]";
+ }
+
+ void operator=(const Vector2 &v) {
+ print_copy_assigned(this);
+ x = v.x;
+ y = v.y;
+ }
+
+ void operator=(Vector2 &&v) {
+ print_move_assigned(this);
+ x = v.x; y = v.y; v.x = v.y = 0;
+ }
+
+ Vector2 operator+(const Vector2 &v) const { return Vector2(x + v.x, y + v.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+(float value) const { return Vector2(x + value, y + value); }
+ Vector2 operator*(float value) const { return Vector2(x * value, y * value); }
+ 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-=(const Vector2 &v) { x -= v.x; y -= v.y; return *this; }
+ Vector2& operator*=(float v) { x *= v; y *= v; 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); }
+ friend Vector2 operator-(float f, const Vector2 &v) { return Vector2(f - v.x, f - v.y); }
+ friend Vector2 operator*(float f, const Vector2 &v) { return Vector2(f * v.x, f * v.y); }
+ friend Vector2 operator/(float f, const Vector2 &v) { return Vector2(f / v.x, f / v.y); }
+private:
+ float x, y;
+};
+
+test_initializer operator_overloading([](py::module &m) {
+ py::class_<Vector2>(m, "Vector2")
+ .def(py::init<float, float>())
+ .def(py::self + py::self)
+ .def(py::self + float())
+ .def(py::self - py::self)
+ .def(py::self - float())
+ .def(py::self * float())
+ .def(py::self / float())
+ .def(py::self += py::self)
+ .def(py::self -= py::self)
+ .def(py::self *= float())
+ .def(py::self /= float())
+ .def(float() + py::self)
+ .def(float() - py::self)
+ .def(float() * py::self)
+ .def(float() / py::self)
+ .def("__str__", &Vector2::toString)
+ ;
+
+ m.attr("Vector") = m.attr("Vector2");
+});
--- /dev/null
+
+def test_operator_overloading():
+ from pybind11_tests import Vector2, Vector, ConstructorStats
+
+ v1 = Vector2(1, 2)
+ v2 = Vector(3, -1)
+ assert str(v1) == "[1.000000, 2.000000]"
+ assert str(v2) == "[3.000000, -1.000000]"
+
+ assert str(v1 + v2) == "[4.000000, 1.000000]"
+ assert str(v1 - v2) == "[-2.000000, 3.000000]"
+ assert str(v1 - 8) == "[-7.000000, -6.000000]"
+ assert str(v1 + 8) == "[9.000000, 10.000000]"
+ assert str(v1 * 8) == "[8.000000, 16.000000]"
+ assert str(v1 / 8) == "[0.125000, 0.250000]"
+ assert str(8 - v1) == "[7.000000, 6.000000]"
+ assert str(8 + v1) == "[9.000000, 10.000000]"
+ assert str(8 * v1) == "[8.000000, 16.000000]"
+ assert str(8 / v1) == "[8.000000, 4.000000]"
+
+ v1 += v2
+ v1 *= 2
+ assert str(v1) == "[8.000000, 2.000000]"
+
+ cstats = ConstructorStats.get(Vector2)
+ assert cstats.alive() == 2
+ del v1
+ assert cstats.alive() == 1
+ del v2
+ assert cstats.alive() == 0
+ assert cstats.values() == ['[1.000000, 2.000000]', '[3.000000, -1.000000]',
+ '[4.000000, 1.000000]', '[-2.000000, 3.000000]',
+ '[-7.000000, -6.000000]', '[9.000000, 10.000000]',
+ '[8.000000, 16.000000]', '[0.125000, 0.250000]',
+ '[7.000000, 6.000000]', '[9.000000, 10.000000]',
+ '[8.000000, 16.000000]', '[8.000000, 4.000000]']
+ assert cstats.default_constructions == 0
+ assert cstats.copy_constructions == 0
+ assert cstats.move_constructions >= 10
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
--- /dev/null
+/*
+ tests/test_pickling.cpp -- pickle 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.
+*/
+
+#include "pybind11_tests.h"
+
+class Pickleable {
+public:
+ Pickleable(const std::string &value) : m_value(value) { }
+ const std::string &value() const { return m_value; }
+
+ void setExtra1(int extra1) { m_extra1 = extra1; }
+ void setExtra2(int extra2) { m_extra2 = extra2; }
+ int extra1() const { return m_extra1; }
+ int extra2() const { return m_extra2; }
+private:
+ std::string m_value;
+ int m_extra1 = 0;
+ int m_extra2 = 0;
+};
+
+class PickleableWithDict {
+public:
+ PickleableWithDict(const std::string &value) : value(value) { }
+
+ std::string value;
+ int extra;
+};
+
+test_initializer pickling([](py::module &m) {
+ py::class_<Pickleable>(m, "Pickleable")
+ .def(py::init<std::string>())
+ .def("value", &Pickleable::value)
+ .def("extra1", &Pickleable::extra1)
+ .def("extra2", &Pickleable::extra2)
+ .def("setExtra1", &Pickleable::setExtra1)
+ .def("setExtra2", &Pickleable::setExtra2)
+ // For details on the methods below, refer to
+ // http://docs.python.org/3/library/pickle.html#pickling-class-instances
+ .def("__getstate__", [](const Pickleable &p) {
+ /* Return a tuple that fully encodes the state of the object */
+ return py::make_tuple(p.value(), p.extra1(), p.extra2());
+ })
+ .def("__setstate__", [](Pickleable &p, py::tuple t) {
+ if (t.size() != 3)
+ throw std::runtime_error("Invalid state!");
+ /* Invoke the constructor (need to use in-place version) */
+ new (&p) Pickleable(t[0].cast<std::string>());
+
+ /* Assign any additional state */
+ p.setExtra1(t[1].cast<int>());
+ p.setExtra2(t[2].cast<int>());
+ });
+
+ py::class_<PickleableWithDict>(m, "PickleableWithDict", py::dynamic_attr())
+ .def(py::init<std::string>())
+ .def_readwrite("value", &PickleableWithDict::value)
+ .def_readwrite("extra", &PickleableWithDict::extra)
+ .def("__getstate__", [](py::object self) {
+ /* Also include __dict__ in state */
+ return py::make_tuple(self.attr("value"), self.attr("extra"), self.attr("__dict__"));
+ })
+ .def("__setstate__", [](py::object self, py::tuple t) {
+ if (t.size() != 3)
+ throw std::runtime_error("Invalid state!");
+ /* Cast and construct */
+ auto& p = self.cast<PickleableWithDict&>();
+ new (&p) Pickleable(t[0].cast<std::string>());
+
+ /* Assign C++ state */
+ p.extra = t[1].cast<int>();
+
+ /* Assign Python state */
+ self.attr("__dict__") = t[2];
+ });
+});
--- /dev/null
+try:
+ import cPickle as pickle # Use cPickle on Python 2.7
+except ImportError:
+ import pickle
+
+
+def test_roundtrip():
+ from pybind11_tests import Pickleable
+
+ p = Pickleable("test_value")
+ p.setExtra1(15)
+ p.setExtra2(48)
+
+ data = pickle.dumps(p, 2) # Must use pickle protocol >= 2
+ p2 = pickle.loads(data)
+ assert p2.value() == p.value()
+ assert p2.extra1() == p.extra1()
+ assert p2.extra2() == p.extra2()
+
+
+def test_roundtrip_with_dict():
+ from pybind11_tests import PickleableWithDict
+
+ p = PickleableWithDict("test_value")
+ p.extra = 15
+ p.dynamic = "Attribute"
+
+ data = pickle.dumps(p, pickle.HIGHEST_PROTOCOL)
+ p2 = pickle.loads(data)
+ assert p2.value == p.value
+ assert p2.extra == p.extra
+ assert p2.dynamic == p.dynamic
--- /dev/null
+/*
+ tests/test_python_types.cpp -- singleton design pattern, static functions and
+ variables, passing and interacting with 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.
+*/
+
+#include "pybind11_tests.h"
+#include "constructor_stats.h"
+#include <pybind11/stl.h>
+
+#ifdef _WIN32
+# include <io.h>
+# include <fcntl.h>
+#endif
+
+class ExamplePythonTypes {
+public:
+ static ExamplePythonTypes *new_instance() {
+ auto *ptr = new ExamplePythonTypes();
+ print_created(ptr, "via new_instance");
+ return ptr;
+ }
+ ~ExamplePythonTypes() { print_destroyed(this); }
+
+ /* Create and return a Python dictionary */
+ py::dict get_dict() {
+ py::dict dict;
+ dict[py::str("key")] = py::str("value");
+ return dict;
+ }
+
+ /* Create and return a Python set */
+ py::set get_set() {
+ py::set set;
+ set.add(py::str("key1"));
+ set.add("key2");
+ set.add(std::string("key3"));
+ return set;
+ }
+
+ /* Create and return a C++ dictionary */
+ std::map<std::string, std::string> get_dict_2() {
+ std::map<std::string, std::string> result;
+ result["key"] = "value";
+ return result;
+ }
+
+ /* Create and return a C++ set */
+ std::set<std::string> get_set_2() {
+ std::set<std::string> result;
+ result.insert("key1");
+ result.insert("key2");
+ return result;
+ }
+
+ /* Create, manipulate, and return a Python list */
+ py::list get_list() {
+ py::list list;
+ list.append("value");
+ py::print("Entry at position 0:", list[0]);
+ list[0] = py::str("overwritten");
+ return list;
+ }
+
+ /* C++ STL data types are automatically casted */
+ std::vector<std::wstring> get_list_2() {
+ std::vector<std::wstring> list;
+ list.push_back(L"value");
+ return list;
+ }
+
+ /* C++ STL data types are automatically casted */
+ std::array<std::string, 2> get_array() {
+ return std::array<std::string, 2> {{ "array entry 1" , "array entry 2"}};
+ }
+
+ std::valarray<int> get_valarray() {
+ return std::valarray<int>({ 1, 4, 9 });
+ }
+
+ /* Easily iterate over a dictionary using a C++11 range-based for loop */
+ void print_dict(py::dict dict) {
+ for (auto item : dict)
+ py::print("key: {}, value={}"_s.format(item.first, item.second));
+ }
+
+ /* Easily iterate over a set using a C++11 range-based for loop */
+ void print_set(py::set set) {
+ for (auto item : set)
+ py::print("key:", item);
+ }
+
+ /* Easily iterate over a list using a C++11 range-based for loop */
+ void print_list(py::list list) {
+ int index = 0;
+ for (auto item : list)
+ py::print("list item {}: {}"_s.format(index++, item));
+ }
+
+ /* STL data types (such as maps) are automatically casted from Python */
+ void print_dict_2(const std::map<std::string, std::string> &dict) {
+ for (auto item : dict)
+ py::print("key: {}, value={}"_s.format(item.first, item.second));
+ }
+
+ /* STL data types (such as sets) are automatically casted from Python */
+ void print_set_2(const std::set<std::string> &set) {
+ for (auto item : set)
+ py::print("key:", item);
+ }
+
+ /* STL data types (such as vectors) are automatically casted from Python */
+ void print_list_2(std::vector<std::wstring> &list) {
+ int index = 0;
+ for (auto item : list)
+ py::print("list item {}: {}"_s.format(index++, item));
+ }
+
+ /* pybind automatically translates between C++11 and Python tuples */
+ std::pair<std::string, bool> pair_passthrough(std::pair<bool, std::string> input) {
+ return std::make_pair(input.second, input.first);
+ }
+
+ /* pybind automatically translates between C++11 and Python tuples */
+ std::tuple<int, std::string, bool> tuple_passthrough(std::tuple<bool, std::string, int> input) {
+ return std::make_tuple(std::get<2>(input), std::get<1>(input), std::get<0>(input));
+ }
+
+ /* STL data types (such as arrays) are automatically casted from Python */
+ void print_array(std::array<std::string, 2> &array) {
+ int index = 0;
+ for (auto item : array)
+ py::print("array item {}: {}"_s.format(index++, item));
+ }
+
+ void print_valarray(std::valarray<int> &varray) {
+ int index = 0;
+ for (auto item : varray)
+ py::print("valarray item {}: {}"_s.format(index++, item));
+ }
+
+ void throw_exception() {
+ throw std::runtime_error("This exception was intentionally thrown.");
+ }
+
+ py::bytes get_bytes_from_string() {
+ return (py::bytes) std::string("foo");
+ }
+
+ py::bytes get_bytes_from_str() {
+ return (py::bytes) py::str("bar", 3);
+ }
+
+ py::str get_str_from_string() {
+ return (py::str) std::string("baz");
+ }
+
+ py::str get_str_from_bytes() {
+ return (py::str) py::bytes("boo", 3);
+ }
+
+ void test_print(const py::object& obj) {
+ py::print(py::str(obj));
+ py::print(py::repr(obj));
+ }
+
+ static int value;
+ static const int value2;
+};
+
+int ExamplePythonTypes::value = 0;
+const int ExamplePythonTypes::value2 = 5;
+
+struct MoveOutContainer {
+ struct Value { int value; };
+
+ std::list<Value> move_list() const { return {{0}, {1}, {2}}; }
+};
+
+
+test_initializer python_types([](py::module &m) {
+ /* No constructor is explicitly defined below. An exception is raised when
+ trying to construct it directly from Python */
+ py::class_<ExamplePythonTypes>(m, "ExamplePythonTypes", "Example 2 documentation")
+ .def("get_dict", &ExamplePythonTypes::get_dict, "Return a Python dictionary")
+ .def("get_dict_2", &ExamplePythonTypes::get_dict_2, "Return a C++ dictionary")
+ .def("get_list", &ExamplePythonTypes::get_list, "Return a Python list")
+ .def("get_list_2", &ExamplePythonTypes::get_list_2, "Return a C++ list")
+ .def("get_set", &ExamplePythonTypes::get_set, "Return a Python set")
+ .def("get_set2", &ExamplePythonTypes::get_set_2, "Return a C++ set")
+ .def("get_array", &ExamplePythonTypes::get_array, "Return a C++ array")
+ .def("get_valarray", &ExamplePythonTypes::get_valarray, "Return a C++ valarray")
+ .def("print_dict", &ExamplePythonTypes::print_dict, "Print entries of a Python dictionary")
+ .def("print_dict_2", &ExamplePythonTypes::print_dict_2, "Print entries of a C++ dictionary")
+ .def("print_set", &ExamplePythonTypes::print_set, "Print entries of a Python set")
+ .def("print_set_2", &ExamplePythonTypes::print_set_2, "Print entries of a C++ set")
+ .def("print_list", &ExamplePythonTypes::print_list, "Print entries of a Python list")
+ .def("print_list_2", &ExamplePythonTypes::print_list_2, "Print entries of a C++ list")
+ .def("print_array", &ExamplePythonTypes::print_array, "Print entries of a C++ array")
+ .def("print_valarray", &ExamplePythonTypes::print_valarray, "Print entries of a C++ valarray")
+ .def("pair_passthrough", &ExamplePythonTypes::pair_passthrough, "Return a pair in reversed order")
+ .def("tuple_passthrough", &ExamplePythonTypes::tuple_passthrough, "Return a triple in reversed order")
+ .def("throw_exception", &ExamplePythonTypes::throw_exception, "Throw an exception")
+ .def("get_bytes_from_string", &ExamplePythonTypes::get_bytes_from_string, "py::bytes from std::string")
+ .def("get_bytes_from_str", &ExamplePythonTypes::get_bytes_from_str, "py::bytes from py::str")
+ .def("get_str_from_string", &ExamplePythonTypes::get_str_from_string, "py::str from std::string")
+ .def("get_str_from_bytes", &ExamplePythonTypes::get_str_from_bytes, "py::str from py::bytes")
+ .def("test_print", &ExamplePythonTypes::test_print, "test the print function")
+ .def_static("new_instance", &ExamplePythonTypes::new_instance, "Return an instance")
+ .def_readwrite_static("value", &ExamplePythonTypes::value, "Static value member")
+ .def_readonly_static("value2", &ExamplePythonTypes::value2, "Static value member (readonly)")
+ ;
+
+ m.def("test_print_function", []() {
+ py::print("Hello, World!");
+ py::print(1, 2.0, "three", true, std::string("-- multiple args"));
+ auto args = py::make_tuple("and", "a", "custom", "separator");
+ py::print("*args", *args, "sep"_a="-");
+ py::print("no new line here", "end"_a=" -- ");
+ py::print("next print");
+
+ auto py_stderr = py::module::import("sys").attr("stderr");
+ py::print("this goes to stderr", "file"_a=py_stderr);
+
+ py::print("flush", "flush"_a=true);
+
+ py::print("{a} + {b} = {c}"_s.format("a"_a="py::print", "b"_a="str.format", "c"_a="this"));
+ });
+
+ m.def("test_str_format", []() {
+ auto s1 = "{} + {} = {}"_s.format(1, 2, 3);
+ auto s2 = "{a} + {b} = {c}"_s.format("a"_a=1, "b"_a=2, "c"_a=3);
+ return py::make_tuple(s1, s2);
+ });
+
+ m.def("test_dict_keyword_constructor", []() {
+ auto d1 = py::dict("x"_a=1, "y"_a=2);
+ auto d2 = py::dict("z"_a=3, **d1);
+ return d2;
+ });
+
+ m.def("test_accessor_api", [](py::object o) {
+ auto d = py::dict();
+
+ d["basic_attr"] = o.attr("basic_attr");
+
+ auto l = py::list();
+ for (const auto &item : o.attr("begin_end")) {
+ l.append(item);
+ }
+ d["begin_end"] = l;
+
+ d["operator[object]"] = o.attr("d")["operator[object]"_s];
+ d["operator[char *]"] = o.attr("d")["operator[char *]"];
+
+ d["attr(object)"] = o.attr("sub").attr("attr_obj");
+ d["attr(char *)"] = o.attr("sub").attr("attr_char");
+ try {
+ o.attr("sub").attr("missing").ptr();
+ } catch (const py::error_already_set &) {
+ d["missing_attr_ptr"] = "raised"_s;
+ }
+ try {
+ o.attr("missing").attr("doesn't matter");
+ } catch (const py::error_already_set &) {
+ d["missing_attr_chain"] = "raised"_s;
+ }
+
+ d["is_none"] = o.attr("basic_attr").is_none();
+
+ d["operator()"] = o.attr("func")(1);
+ d["operator*"] = o.attr("func")(*o.attr("begin_end"));
+
+ return d;
+ });
+
+ m.def("test_tuple_accessor", [](py::tuple existing_t) {
+ try {
+ existing_t[0] = 1;
+ } catch (const py::error_already_set &) {
+ // --> Python system error
+ // Only new tuples (refcount == 1) are mutable
+ auto new_t = py::tuple(3);
+ for (size_t i = 0; i < new_t.size(); ++i) {
+ new_t[i] = i;
+ }
+ return new_t;
+ }
+ return py::tuple();
+ });
+
+ m.def("test_accessor_assignment", []() {
+ auto l = py::list(1);
+ l[0] = 0;
+
+ auto d = py::dict();
+ d["get"] = l[0];
+ auto var = l[0];
+ d["deferred_get"] = var;
+ l[0] = 1;
+ d["set"] = l[0];
+ var = 99; // this assignment should not overwrite l[0]
+ d["deferred_set"] = l[0];
+ d["var"] = var;
+
+ return d;
+ });
+
+ bool has_optional = false, has_exp_optional = false;
+#ifdef PYBIND11_HAS_OPTIONAL
+ has_optional = true;
+ using opt_int = std::optional<int>;
+ m.def("double_or_zero", [](const opt_int& x) -> int {
+ return x.value_or(0) * 2;
+ });
+ m.def("half_or_none", [](int x) -> opt_int {
+ return x ? opt_int(x / 2) : opt_int();
+ });
+ m.def("test_nullopt", [](opt_int x) {
+ return x.value_or(42);
+ }, py::arg_v("x", std::nullopt, "None"));
+#endif
+
+#ifdef PYBIND11_HAS_EXP_OPTIONAL
+ has_exp_optional = true;
+ using opt_int = std::experimental::optional<int>;
+ m.def("double_or_zero_exp", [](const opt_int& x) -> int {
+ return x.value_or(0) * 2;
+ });
+ m.def("half_or_none_exp", [](int x) -> opt_int {
+ return x ? opt_int(x / 2) : opt_int();
+ });
+ m.def("test_nullopt_exp", [](opt_int x) {
+ return x.value_or(42);
+ }, py::arg_v("x", std::experimental::nullopt, "None"));
+#endif
+
+ m.attr("has_optional") = has_optional;
+ m.attr("has_exp_optional") = has_exp_optional;
+
+ m.def("test_default_constructors", []() {
+ return py::dict(
+ "str"_a=py::str(),
+ "bool"_a=py::bool_(),
+ "int"_a=py::int_(),
+ "float"_a=py::float_(),
+ "tuple"_a=py::tuple(),
+ "list"_a=py::list(),
+ "dict"_a=py::dict(),
+ "set"_a=py::set()
+ );
+ });
+
+ m.def("test_converting_constructors", [](py::dict d) {
+ return py::dict(
+ "str"_a=py::str(d["str"]),
+ "bool"_a=py::bool_(d["bool"]),
+ "int"_a=py::int_(d["int"]),
+ "float"_a=py::float_(d["float"]),
+ "tuple"_a=py::tuple(d["tuple"]),
+ "list"_a=py::list(d["list"]),
+ "dict"_a=py::dict(d["dict"]),
+ "set"_a=py::set(d["set"]),
+ "memoryview"_a=py::memoryview(d["memoryview"])
+ );
+ });
+
+ m.def("test_cast_functions", [](py::dict d) {
+ // When converting between Python types, obj.cast<T>() should be the same as T(obj)
+ return py::dict(
+ "str"_a=d["str"].cast<py::str>(),
+ "bool"_a=d["bool"].cast<py::bool_>(),
+ "int"_a=d["int"].cast<py::int_>(),
+ "float"_a=d["float"].cast<py::float_>(),
+ "tuple"_a=d["tuple"].cast<py::tuple>(),
+ "list"_a=d["list"].cast<py::list>(),
+ "dict"_a=d["dict"].cast<py::dict>(),
+ "set"_a=d["set"].cast<py::set>(),
+ "memoryview"_a=d["memoryview"].cast<py::memoryview>()
+ );
+ });
+
+ py::class_<MoveOutContainer::Value>(m, "MoveOutContainerValue")
+ .def_readonly("value", &MoveOutContainer::Value::value);
+
+ py::class_<MoveOutContainer>(m, "MoveOutContainer")
+ .def(py::init<>())
+ .def_property_readonly("move_list", &MoveOutContainer::move_list);
+
+ m.def("get_implicit_casting", []() {
+ py::dict d;
+ d["char*_i1"] = "abc";
+ const char *c2 = "abc";
+ d["char*_i2"] = c2;
+ d["char*_e"] = py::cast(c2);
+ d["char*_p"] = py::str(c2);
+
+ d["int_i1"] = 42;
+ int i = 42;
+ d["int_i2"] = i;
+ i++;
+ d["int_e"] = py::cast(i);
+ i++;
+ d["int_p"] = py::int_(i);
+
+ d["str_i1"] = std::string("str");
+ std::string s2("str1");
+ d["str_i2"] = s2;
+ s2[3] = '2';
+ d["str_e"] = py::cast(s2);
+ s2[3] = '3';
+ d["str_p"] = py::str(s2);
+
+ py::list l(2);
+ l[0] = 3;
+ l[1] = py::cast(6);
+ l.append(9);
+ l.append(py::cast(12));
+ l.append(py::int_(15));
+
+ return py::dict(
+ "d"_a=d,
+ "l"_a=l
+ );
+ });
+});
--- /dev/null
+import pytest
+
+from pybind11_tests import ExamplePythonTypes, ConstructorStats, has_optional, has_exp_optional
+
+
+def test_static():
+ ExamplePythonTypes.value = 15
+ assert ExamplePythonTypes.value == 15
+ assert ExamplePythonTypes.value2 == 5
+
+ with pytest.raises(AttributeError) as excinfo:
+ ExamplePythonTypes.value2 = 15
+ assert str(excinfo.value) == "can't set attribute"
+
+
+def test_instance(capture):
+ with pytest.raises(TypeError) as excinfo:
+ ExamplePythonTypes()
+ assert str(excinfo.value) == "pybind11_tests.ExamplePythonTypes: No constructor defined!"
+
+ instance = ExamplePythonTypes.new_instance()
+
+ with capture:
+ dict_result = instance.get_dict()
+ dict_result['key2'] = 'value2'
+ instance.print_dict(dict_result)
+ assert capture.unordered == """
+ key: key, value=value
+ key: key2, value=value2
+ """
+ with capture:
+ dict_result = instance.get_dict_2()
+ dict_result['key2'] = 'value2'
+ instance.print_dict_2(dict_result)
+ assert capture.unordered == """
+ key: key, value=value
+ key: key2, value=value2
+ """
+ with capture:
+ set_result = instance.get_set()
+ set_result.add('key4')
+ instance.print_set(set_result)
+ assert capture.unordered == """
+ key: key1
+ key: key2
+ key: key3
+ key: key4
+ """
+ with capture:
+ set_result = instance.get_set2()
+ set_result.add('key3')
+ instance.print_set_2(set_result)
+ assert capture.unordered == """
+ key: key1
+ key: key2
+ key: key3
+ """
+ with capture:
+ list_result = instance.get_list()
+ list_result.append('value2')
+ instance.print_list(list_result)
+ assert capture.unordered == """
+ Entry at position 0: value
+ list item 0: overwritten
+ list item 1: value2
+ """
+ with capture:
+ list_result = instance.get_list_2()
+ list_result.append('value2')
+ instance.print_list_2(list_result)
+ assert capture.unordered == """
+ list item 0: value
+ list item 1: value2
+ """
+ with capture:
+ list_result = instance.get_list_2()
+ list_result.append('value2')
+ instance.print_list_2(tuple(list_result))
+ assert capture.unordered == """
+ list item 0: value
+ list item 1: value2
+ """
+ array_result = instance.get_array()
+ assert array_result == ['array entry 1', 'array entry 2']
+ with capture:
+ instance.print_array(array_result)
+ assert capture.unordered == """
+ array item 0: array entry 1
+ array item 1: array entry 2
+ """
+ varray_result = instance.get_valarray()
+ assert varray_result == [1, 4, 9]
+ with capture:
+ instance.print_valarray(varray_result)
+ assert capture.unordered == """
+ valarray item 0: 1
+ valarray item 1: 4
+ valarray item 2: 9
+ """
+ with pytest.raises(RuntimeError) as excinfo:
+ instance.throw_exception()
+ assert str(excinfo.value) == "This exception was intentionally thrown."
+
+ assert instance.pair_passthrough((True, "test")) == ("test", True)
+ assert instance.tuple_passthrough((True, "test", 5)) == (5, "test", True)
+ # Any sequence can be cast to a std::pair or std::tuple
+ assert instance.pair_passthrough([True, "test"]) == ("test", True)
+ assert instance.tuple_passthrough([True, "test", 5]) == (5, "test", True)
+
+ assert instance.get_bytes_from_string().decode() == "foo"
+ assert instance.get_bytes_from_str().decode() == "bar"
+ assert instance.get_str_from_string().encode().decode() == "baz"
+ assert instance.get_str_from_bytes().encode().decode() == "boo"
+
+ class A(object):
+ def __str__(self):
+ return "this is a str"
+
+ def __repr__(self):
+ return "this is a repr"
+
+ with capture:
+ instance.test_print(A())
+ assert capture == """
+ this is a str
+ this is a repr
+ """
+
+ cstats = ConstructorStats.get(ExamplePythonTypes)
+ assert cstats.alive() == 1
+ del instance
+ assert cstats.alive() == 0
+
+
+def test_docs(doc):
+ assert doc(ExamplePythonTypes) == "Example 2 documentation"
+ assert doc(ExamplePythonTypes.get_dict) == """
+ get_dict(self: m.ExamplePythonTypes) -> dict
+
+ Return a Python dictionary
+ """
+ assert doc(ExamplePythonTypes.get_dict_2) == """
+ get_dict_2(self: m.ExamplePythonTypes) -> Dict[str, str]
+
+ Return a C++ dictionary
+ """
+ assert doc(ExamplePythonTypes.get_list) == """
+ get_list(self: m.ExamplePythonTypes) -> list
+
+ Return a Python list
+ """
+ assert doc(ExamplePythonTypes.get_list_2) == """
+ get_list_2(self: m.ExamplePythonTypes) -> List[str]
+
+ Return a C++ list
+ """
+ assert doc(ExamplePythonTypes.get_dict) == """
+ get_dict(self: m.ExamplePythonTypes) -> dict
+
+ Return a Python dictionary
+ """
+ assert doc(ExamplePythonTypes.get_set) == """
+ get_set(self: m.ExamplePythonTypes) -> set
+
+ Return a Python set
+ """
+ assert doc(ExamplePythonTypes.get_set2) == """
+ get_set2(self: m.ExamplePythonTypes) -> Set[str]
+
+ Return a C++ set
+ """
+ assert doc(ExamplePythonTypes.get_array) == """
+ get_array(self: m.ExamplePythonTypes) -> List[str[2]]
+
+ Return a C++ array
+ """
+ assert doc(ExamplePythonTypes.get_valarray) == """
+ get_valarray(self: m.ExamplePythonTypes) -> List[int]
+
+ Return a C++ valarray
+ """
+ assert doc(ExamplePythonTypes.print_dict) == """
+ print_dict(self: m.ExamplePythonTypes, arg0: dict) -> None
+
+ Print entries of a Python dictionary
+ """
+ assert doc(ExamplePythonTypes.print_dict_2) == """
+ print_dict_2(self: m.ExamplePythonTypes, arg0: Dict[str, str]) -> None
+
+ Print entries of a C++ dictionary
+ """
+ assert doc(ExamplePythonTypes.print_set) == """
+ print_set(self: m.ExamplePythonTypes, arg0: set) -> None
+
+ Print entries of a Python set
+ """
+ assert doc(ExamplePythonTypes.print_set_2) == """
+ print_set_2(self: m.ExamplePythonTypes, arg0: Set[str]) -> None
+
+ Print entries of a C++ set
+ """
+ assert doc(ExamplePythonTypes.print_list) == """
+ print_list(self: m.ExamplePythonTypes, arg0: list) -> None
+
+ Print entries of a Python list
+ """
+ assert doc(ExamplePythonTypes.print_list_2) == """
+ print_list_2(self: m.ExamplePythonTypes, arg0: List[str]) -> None
+
+ Print entries of a C++ list
+ """
+ assert doc(ExamplePythonTypes.print_array) == """
+ print_array(self: m.ExamplePythonTypes, arg0: List[str[2]]) -> None
+
+ Print entries of a C++ array
+ """
+ assert doc(ExamplePythonTypes.pair_passthrough) == """
+ pair_passthrough(self: m.ExamplePythonTypes, arg0: Tuple[bool, str]) -> Tuple[str, bool]
+
+ Return a pair in reversed order
+ """
+ assert doc(ExamplePythonTypes.tuple_passthrough) == """
+ tuple_passthrough(self: m.ExamplePythonTypes, arg0: Tuple[bool, str, int]) -> Tuple[int, str, bool]
+
+ Return a triple in reversed order
+ """ # noqa: E501 line too long
+ assert doc(ExamplePythonTypes.throw_exception) == """
+ throw_exception(self: m.ExamplePythonTypes) -> None
+
+ Throw an exception
+ """
+ assert doc(ExamplePythonTypes.new_instance) == """
+ new_instance() -> m.ExamplePythonTypes
+
+ Return an instance
+ """
+
+
+def test_module():
+ import pybind11_tests
+
+ assert pybind11_tests.__name__ == "pybind11_tests"
+ assert ExamplePythonTypes.__name__ == "ExamplePythonTypes"
+ assert ExamplePythonTypes.__module__ == "pybind11_tests"
+ assert ExamplePythonTypes.get_set.__name__ == "get_set"
+ assert ExamplePythonTypes.get_set.__module__ == "pybind11_tests"
+
+
+def test_print(capture):
+ from pybind11_tests import test_print_function
+
+ with capture:
+ test_print_function()
+ assert capture == """
+ Hello, World!
+ 1 2.0 three True -- multiple args
+ *args-and-a-custom-separator
+ no new line here -- next print
+ flush
+ py::print + str.format = this
+ """
+ assert capture.stderr == "this goes to stderr"
+
+
+def test_str_api():
+ from pybind11_tests import test_str_format
+
+ s1, s2 = test_str_format()
+ assert s1 == "1 + 2 = 3"
+ assert s1 == s2
+
+
+def test_dict_api():
+ from pybind11_tests import test_dict_keyword_constructor
+
+ assert test_dict_keyword_constructor() == {"x": 1, "y": 2, "z": 3}
+
+
+def test_accessors():
+ from pybind11_tests import test_accessor_api, test_tuple_accessor, test_accessor_assignment
+
+ class SubTestObject:
+ attr_obj = 1
+ attr_char = 2
+
+ class TestObject:
+ basic_attr = 1
+ begin_end = [1, 2, 3]
+ d = {"operator[object]": 1, "operator[char *]": 2}
+ sub = SubTestObject()
+
+ def func(self, x, *args):
+ return self.basic_attr + x + sum(args)
+
+ d = test_accessor_api(TestObject())
+ assert d["basic_attr"] == 1
+ assert d["begin_end"] == [1, 2, 3]
+ assert d["operator[object]"] == 1
+ assert d["operator[char *]"] == 2
+ assert d["attr(object)"] == 1
+ assert d["attr(char *)"] == 2
+ assert d["missing_attr_ptr"] == "raised"
+ assert d["missing_attr_chain"] == "raised"
+ assert d["is_none"] is False
+ assert d["operator()"] == 2
+ assert d["operator*"] == 7
+
+ assert test_tuple_accessor(tuple()) == (0, 1, 2)
+
+ d = test_accessor_assignment()
+ assert d["get"] == 0
+ assert d["deferred_get"] == 0
+ assert d["set"] == 1
+ assert d["deferred_set"] == 1
+ assert d["var"] == 99
+
+
+@pytest.mark.skipif(not has_optional, reason='no <optional>')
+def test_optional():
+ from pybind11_tests import double_or_zero, half_or_none, test_nullopt
+
+ assert double_or_zero(None) == 0
+ assert double_or_zero(42) == 84
+ pytest.raises(TypeError, double_or_zero, 'foo')
+
+ assert half_or_none(0) is None
+ assert half_or_none(42) == 21
+ pytest.raises(TypeError, half_or_none, 'foo')
+
+ assert test_nullopt() == 42
+ assert test_nullopt(None) == 42
+ assert test_nullopt(42) == 42
+ assert test_nullopt(43) == 43
+
+
+@pytest.mark.skipif(not has_exp_optional, reason='no <experimental/optional>')
+def test_exp_optional():
+ from pybind11_tests import double_or_zero_exp, half_or_none_exp, test_nullopt_exp
+
+ assert double_or_zero_exp(None) == 0
+ assert double_or_zero_exp(42) == 84
+ pytest.raises(TypeError, double_or_zero_exp, 'foo')
+
+ assert half_or_none_exp(0) is None
+ assert half_or_none_exp(42) == 21
+ pytest.raises(TypeError, half_or_none_exp, 'foo')
+
+ assert test_nullopt_exp() == 42
+ assert test_nullopt_exp(None) == 42
+ assert test_nullopt_exp(42) == 42
+ assert test_nullopt_exp(43) == 43
+
+
+def test_constructors():
+ """C++ default and converting constructors are equivalent to type calls in Python"""
+ from pybind11_tests import (test_default_constructors, test_converting_constructors,
+ test_cast_functions)
+
+ types = [str, bool, int, float, tuple, list, dict, set]
+ expected = {t.__name__: t() for t in types}
+ assert test_default_constructors() == expected
+
+ data = {
+ str: 42,
+ bool: "Not empty",
+ int: "42",
+ float: "+1e3",
+ tuple: range(3),
+ list: range(3),
+ dict: [("two", 2), ("one", 1), ("three", 3)],
+ set: [4, 4, 5, 6, 6, 6],
+ memoryview: b'abc'
+ }
+ inputs = {k.__name__: v for k, v in data.items()}
+ expected = {k.__name__: k(v) for k, v in data.items()}
+ assert test_converting_constructors(inputs) == expected
+ assert test_cast_functions(inputs) == expected
+
+
+def test_move_out_container():
+ """Properties use the `reference_internal` policy by default. If the underlying function
+ returns an rvalue, the policy is automatically changed to `move` to avoid referencing
+ a temporary. In case the return value is a container of user-defined types, the policy
+ also needs to be applied to the elements, not just the container."""
+ from pybind11_tests import MoveOutContainer
+
+ c = MoveOutContainer()
+ moved_out_list = c.move_list
+ assert [x.value for x in moved_out_list] == [0, 1, 2]
+
+
+def test_implicit_casting():
+ """Tests implicit casting when assigning or appending to dicts and lists."""
+ from pybind11_tests import get_implicit_casting
+
+ z = get_implicit_casting()
+ assert z['d'] == {
+ 'char*_i1': 'abc', 'char*_i2': 'abc', 'char*_e': 'abc', 'char*_p': 'abc',
+ 'str_i1': 'str', 'str_i2': 'str1', 'str_e': 'str2', 'str_p': 'str3',
+ 'int_i1': 42, 'int_i2': 42, 'int_e': 43, 'int_p': 44
+ }
+ assert z['l'] == [3, 6, 9, 12, 15]
--- /dev/null
+/*
+ tests/test_sequences_and_iterators.cpp -- supporting Pythons' sequence protocol, iterators,
+ etc.
+
+ 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/operators.h>
+#include <pybind11/stl.h>
+
+class Sequence {
+public:
+ Sequence(size_t size) : m_size(size) {
+ print_created(this, "of size", m_size);
+ m_data = new float[size];
+ memset(m_data, 0, sizeof(float) * size);
+ }
+
+ Sequence(const std::vector<float> &value) : m_size(value.size()) {
+ print_created(this, "of size", m_size, "from std::vector");
+ m_data = new float[m_size];
+ memcpy(m_data, &value[0], sizeof(float) * m_size);
+ }
+
+ Sequence(const Sequence &s) : m_size(s.m_size) {
+ print_copy_created(this);
+ m_data = new float[m_size];
+ memcpy(m_data, s.m_data, sizeof(float)*m_size);
+ }
+
+ Sequence(Sequence &&s) : m_size(s.m_size), m_data(s.m_data) {
+ print_move_created(this);
+ s.m_size = 0;
+ s.m_data = nullptr;
+ }
+
+ ~Sequence() {
+ print_destroyed(this);
+ delete[] m_data;
+ }
+
+ Sequence &operator=(const Sequence &s) {
+ if (&s != this) {
+ delete[] m_data;
+ m_size = s.m_size;
+ m_data = new float[m_size];
+ memcpy(m_data, s.m_data, sizeof(float)*m_size);
+ }
+
+ print_copy_assigned(this);
+
+ return *this;
+ }
+
+ Sequence &operator=(Sequence &&s) {
+ if (&s != this) {
+ delete[] m_data;
+ m_size = s.m_size;
+ m_data = s.m_data;
+ s.m_size = 0;
+ s.m_data = nullptr;
+ }
+
+ print_move_assigned(this);
+
+ return *this;
+ }
+
+ bool operator==(const Sequence &s) const {
+ if (m_size != s.size())
+ return false;
+ for (size_t i=0; i<m_size; ++i)
+ if (m_data[i] != s[i])
+ return false;
+ return true;
+ }
+
+ bool operator!=(const Sequence &s) const {
+ return !operator==(s);
+ }
+
+ float operator[](size_t index) const {
+ return m_data[index];
+ }
+
+ float &operator[](size_t index) {
+ return m_data[index];
+ }
+
+ bool contains(float v) const {
+ for (size_t i=0; i<m_size; ++i)
+ if (v == m_data[i])
+ return true;
+ return false;
+ }
+
+ Sequence reversed() const {
+ Sequence result(m_size);
+ for (size_t i=0; i<m_size; ++i)
+ result[m_size-i-1] = m_data[i];
+ return result;
+ }
+
+ size_t size() const { return m_size; }
+
+ const float *begin() const { return m_data; }
+ const float *end() const { return m_data+m_size; }
+
+private:
+ size_t m_size;
+ float *m_data;
+};
+
+class IntPairs {
+public:
+ IntPairs(std::vector<std::pair<int, int>> data) : data_(std::move(data)) {}
+ const std::pair<int, int>* begin() const { return data_.data(); }
+
+private:
+ std::vector<std::pair<int, int>> data_;
+};
+
+// Interface of a map-like object that isn't (directly) an unordered_map, but provides some basic
+// map-like functionality.
+class StringMap {
+public:
+ StringMap() = default;
+ StringMap(std::unordered_map<std::string, std::string> init)
+ : map(std::move(init)) {}
+
+ void set(std::string key, std::string val) {
+ map[key] = val;
+ }
+
+ std::string get(std::string key) const {
+ return map.at(key);
+ }
+
+ size_t size() const {
+ return map.size();
+ }
+
+private:
+ std::unordered_map<std::string, std::string> map;
+
+public:
+ decltype(map.cbegin()) begin() const { return map.cbegin(); }
+ decltype(map.cend()) end() const { return map.cend(); }
+};
+
+template<typename T>
+class NonZeroIterator {
+ const T* ptr_;
+public:
+ NonZeroIterator(const T* ptr) : ptr_(ptr) {}
+ const T& operator*() const { return *ptr_; }
+ NonZeroIterator& operator++() { ++ptr_; return *this; }
+};
+
+class NonZeroSentinel {};
+
+template<typename A, typename B>
+bool operator==(const NonZeroIterator<std::pair<A, B>>& it, const NonZeroSentinel&) {
+ return !(*it).first || !(*it).second;
+}
+
+test_initializer sequences_and_iterators([](py::module &m) {
+
+ py::class_<Sequence> seq(m, "Sequence");
+
+ seq.def(py::init<size_t>())
+ .def(py::init<const std::vector<float>&>())
+ /// Bare bones interface
+ .def("__getitem__", [](const Sequence &s, size_t i) {
+ if (i >= s.size())
+ throw py::index_error();
+ return s[i];
+ })
+ .def("__setitem__", [](Sequence &s, size_t i, float v) {
+ if (i >= s.size())
+ throw py::index_error();
+ s[i] = v;
+ })
+ .def("__len__", &Sequence::size)
+ /// Optional sequence protocol operations
+ .def("__iter__", [](const Sequence &s) { return py::make_iterator(s.begin(), s.end()); },
+ py::keep_alive<0, 1>() /* Essential: keep object alive while iterator exists */)
+ .def("__contains__", [](const Sequence &s, float v) { return s.contains(v); })
+ .def("__reversed__", [](const Sequence &s) -> Sequence { return s.reversed(); })
+ /// Slicing protocol (optional)
+ .def("__getitem__", [](const Sequence &s, py::slice slice) -> Sequence* {
+ size_t start, stop, step, slicelength;
+ if (!slice.compute(s.size(), &start, &stop, &step, &slicelength))
+ throw py::error_already_set();
+ Sequence *seq = new Sequence(slicelength);
+ for (size_t i=0; i<slicelength; ++i) {
+ (*seq)[i] = s[start]; start += step;
+ }
+ return seq;
+ })
+ .def("__setitem__", [](Sequence &s, py::slice slice, const Sequence &value) {
+ size_t start, stop, step, slicelength;
+ if (!slice.compute(s.size(), &start, &stop, &step, &slicelength))
+ throw py::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) {
+ s[start] = value[i]; start += step;
+ }
+ })
+ /// Comparisons
+ .def(py::self == py::self)
+ .def(py::self != py::self);
+ // Could also define py::self + py::self for concatenation, etc.
+
+ py::class_<StringMap> map(m, "StringMap");
+
+ map .def(py::init<>())
+ .def(py::init<std::unordered_map<std::string, std::string>>())
+ .def("__getitem__", [](const StringMap &map, std::string key) {
+ try { return map.get(key); }
+ catch (const std::out_of_range&) {
+ throw py::key_error("key '" + key + "' does not exist");
+ }
+ })
+ .def("__setitem__", &StringMap::set)
+ .def("__len__", &StringMap::size)
+ .def("__iter__", [](const StringMap &map) { return py::make_key_iterator(map.begin(), map.end()); },
+ py::keep_alive<0, 1>())
+ .def("items", [](const StringMap &map) { return py::make_iterator(map.begin(), map.end()); },
+ py::keep_alive<0, 1>())
+ ;
+
+ py::class_<IntPairs>(m, "IntPairs")
+ .def(py::init<std::vector<std::pair<int, int>>>())
+ .def("nonzero", [](const IntPairs& s) {
+ return py::make_iterator(NonZeroIterator<std::pair<int, int>>(s.begin()), NonZeroSentinel());
+ }, py::keep_alive<0, 1>())
+ .def("nonzero_keys", [](const IntPairs& s) {
+ return py::make_key_iterator(NonZeroIterator<std::pair<int, int>>(s.begin()), NonZeroSentinel());
+ }, py::keep_alive<0, 1>());
+
+
+#if 0
+ // Obsolete: special data structure for exposing custom iterator types to python
+ // kept here for illustrative purposes because there might be some use cases which
+ // are not covered by the much simpler py::make_iterator
+
+ struct PySequenceIterator {
+ PySequenceIterator(const Sequence &seq, py::object ref) : seq(seq), ref(ref) { }
+
+ float next() {
+ if (index == seq.size())
+ throw py::stop_iteration();
+ return seq[index++];
+ }
+
+ const Sequence &seq;
+ py::object ref; // keep a reference
+ size_t index = 0;
+ };
+
+ py::class_<PySequenceIterator>(seq, "Iterator")
+ .def("__iter__", [](PySequenceIterator &it) -> PySequenceIterator& { return it; })
+ .def("__next__", &PySequenceIterator::next);
+
+ On the actual Sequence object, the iterator would be constructed as follows:
+ .def("__iter__", [](py::object s) { return PySequenceIterator(s.cast<const Sequence &>(), s); })
+#endif
+});
--- /dev/null
+import pytest
+
+
+def isclose(a, b, rel_tol=1e-05, abs_tol=0.0):
+ """Like math.isclose() from Python 3.5"""
+ return abs(a - b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)
+
+
+def allclose(a_list, b_list, rel_tol=1e-05, abs_tol=0.0):
+ return all(isclose(a, b, rel_tol=rel_tol, abs_tol=abs_tol) for a, b in zip(a_list, b_list))
+
+
+def test_generalized_iterators():
+ from pybind11_tests import IntPairs
+
+ assert list(IntPairs([(1, 2), (3, 4), (0, 5)]).nonzero()) == [(1, 2), (3, 4)]
+ assert list(IntPairs([(1, 2), (2, 0), (0, 3), (4, 5)]).nonzero()) == [(1, 2)]
+ assert list(IntPairs([(0, 3), (1, 2), (3, 4)]).nonzero()) == []
+
+ assert list(IntPairs([(1, 2), (3, 4), (0, 5)]).nonzero_keys()) == [1, 3]
+ assert list(IntPairs([(1, 2), (2, 0), (0, 3), (4, 5)]).nonzero_keys()) == [1]
+ assert list(IntPairs([(0, 3), (1, 2), (3, 4)]).nonzero_keys()) == []
+
+
+def test_sequence():
+ from pybind11_tests import Sequence, ConstructorStats
+
+ cstats = ConstructorStats.get(Sequence)
+
+ s = Sequence(5)
+ assert cstats.values() == ['of size', '5']
+
+ assert "Sequence" in repr(s)
+ assert len(s) == 5
+ assert s[0] == 0 and s[3] == 0
+ assert 12.34 not in s
+ s[0], s[3] = 12.34, 56.78
+ assert 12.34 in s
+ assert isclose(s[0], 12.34) and isclose(s[3], 56.78)
+
+ rev = reversed(s)
+ assert cstats.values() == ['of size', '5']
+
+ rev2 = s[::-1]
+ assert cstats.values() == ['of size', '5']
+
+ expected = [0, 56.78, 0, 0, 12.34]
+ assert allclose(rev, expected)
+ assert allclose(rev2, expected)
+ assert rev == rev2
+
+ rev[0::2] = Sequence([2.0, 2.0, 2.0])
+ assert cstats.values() == ['of size', '3', 'from std::vector']
+
+ assert allclose(rev, [2, 56.78, 2, 0, 2])
+
+ assert cstats.alive() == 3
+ del s
+ assert cstats.alive() == 2
+ del rev
+ assert cstats.alive() == 1
+ del rev2
+ assert cstats.alive() == 0
+
+ assert cstats.values() == []
+ assert cstats.default_constructions == 0
+ assert cstats.copy_constructions == 0
+ assert cstats.move_constructions >= 1
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+
+def test_map_iterator():
+ from pybind11_tests import StringMap
+
+ m = StringMap({'hi': 'bye', 'black': 'white'})
+ assert m['hi'] == 'bye'
+ assert len(m) == 2
+ assert m['black'] == 'white'
+
+ with pytest.raises(KeyError):
+ assert m['orange']
+ m['orange'] = 'banana'
+ assert m['orange'] == 'banana'
+
+ expected = {'hi': 'bye', 'black': 'white', 'orange': 'banana'}
+ for k in m:
+ assert m[k] == expected[k]
+ for k, v in m.items():
+ assert v == expected[k]
--- /dev/null
+/*
+ tests/test_smart_ptr.cpp -- binding classes with custom reference counting,
+ implicit conversions between 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 "object.h"
+
+/// Custom object with builtin reference counting (see 'object.h' for the implementation)
+class MyObject1 : public Object {
+public:
+ MyObject1(int value) : value(value) {
+ print_created(this, toString());
+ }
+
+ std::string toString() const {
+ return "MyObject1[" + std::to_string(value) + "]";
+ }
+
+protected:
+ virtual ~MyObject1() {
+ print_destroyed(this);
+ }
+
+private:
+ int value;
+};
+
+/// Object managed by a std::shared_ptr<>
+class MyObject2 {
+public:
+ MyObject2(int value) : value(value) {
+ print_created(this, toString());
+ }
+
+ std::string toString() const {
+ return "MyObject2[" + std::to_string(value) + "]";
+ }
+
+ virtual ~MyObject2() {
+ print_destroyed(this);
+ }
+
+private:
+ int value;
+};
+
+/// Object managed by a std::shared_ptr<>, additionally derives from std::enable_shared_from_this<>
+class MyObject3 : public std::enable_shared_from_this<MyObject3> {
+public:
+ MyObject3(int value) : value(value) {
+ print_created(this, toString());
+ }
+
+ std::string toString() const {
+ return "MyObject3[" + std::to_string(value) + "]";
+ }
+
+ virtual ~MyObject3() {
+ print_destroyed(this);
+ }
+
+private:
+ int value;
+};
+
+class MyObject4 {
+public:
+ MyObject4(int value) : value{value} {
+ print_created(this);
+ }
+ int value;
+private:
+ ~MyObject4() {
+ print_destroyed(this);
+ }
+};
+
+/// Make pybind aware of the ref-counted wrapper type (s)
+PYBIND11_DECLARE_HOLDER_TYPE(T, ref<T>); // Required for custom holder type
+PYBIND11_DECLARE_HOLDER_TYPE(T, std::shared_ptr<T>); // Not required any more for std::shared_ptr,
+ // but it should compile without error
+
+Object *make_object_1() { return new MyObject1(1); }
+ref<Object> make_object_2() { return new MyObject1(2); }
+
+MyObject1 *make_myobject1_1() { return new MyObject1(4); }
+ref<MyObject1> make_myobject1_2() { return new MyObject1(5); }
+
+MyObject2 *make_myobject2_1() { return new MyObject2(6); }
+std::shared_ptr<MyObject2> make_myobject2_2() { return std::make_shared<MyObject2>(7); }
+
+MyObject3 *make_myobject3_1() { return new MyObject3(8); }
+std::shared_ptr<MyObject3> make_myobject3_2() { return std::make_shared<MyObject3>(9); }
+
+void print_object_1(const Object *obj) { py::print(obj->toString()); }
+void print_object_2(ref<Object> obj) { py::print(obj->toString()); }
+void print_object_3(const ref<Object> &obj) { py::print(obj->toString()); }
+void print_object_4(const ref<Object> *obj) { py::print((*obj)->toString()); }
+
+void print_myobject1_1(const MyObject1 *obj) { py::print(obj->toString()); }
+void print_myobject1_2(ref<MyObject1> obj) { py::print(obj->toString()); }
+void print_myobject1_3(const ref<MyObject1> &obj) { py::print(obj->toString()); }
+void print_myobject1_4(const ref<MyObject1> *obj) { py::print((*obj)->toString()); }
+
+void print_myobject2_1(const MyObject2 *obj) { py::print(obj->toString()); }
+void print_myobject2_2(std::shared_ptr<MyObject2> obj) { py::print(obj->toString()); }
+void print_myobject2_3(const std::shared_ptr<MyObject2> &obj) { py::print(obj->toString()); }
+void print_myobject2_4(const std::shared_ptr<MyObject2> *obj) { py::print((*obj)->toString()); }
+
+void print_myobject3_1(const MyObject3 *obj) { py::print(obj->toString()); }
+void print_myobject3_2(std::shared_ptr<MyObject3> obj) { py::print(obj->toString()); }
+void print_myobject3_3(const std::shared_ptr<MyObject3> &obj) { py::print(obj->toString()); }
+void print_myobject3_4(const std::shared_ptr<MyObject3> *obj) { py::print((*obj)->toString()); }
+
+test_initializer smart_ptr([](py::module &m) {
+ py::class_<Object, ref<Object>> obj(m, "Object");
+ obj.def("getRefCount", &Object::getRefCount);
+
+ py::class_<MyObject1, ref<MyObject1>>(m, "MyObject1", obj)
+ .def(py::init<int>());
+
+ m.def("make_object_1", &make_object_1);
+ m.def("make_object_2", &make_object_2);
+ m.def("make_myobject1_1", &make_myobject1_1);
+ m.def("make_myobject1_2", &make_myobject1_2);
+ m.def("print_object_1", &print_object_1);
+ m.def("print_object_2", &print_object_2);
+ m.def("print_object_3", &print_object_3);
+ m.def("print_object_4", &print_object_4);
+ m.def("print_myobject1_1", &print_myobject1_1);
+ m.def("print_myobject1_2", &print_myobject1_2);
+ m.def("print_myobject1_3", &print_myobject1_3);
+ m.def("print_myobject1_4", &print_myobject1_4);
+
+ py::class_<MyObject2, std::shared_ptr<MyObject2>>(m, "MyObject2")
+ .def(py::init<int>());
+ m.def("make_myobject2_1", &make_myobject2_1);
+ m.def("make_myobject2_2", &make_myobject2_2);
+ m.def("print_myobject2_1", &print_myobject2_1);
+ m.def("print_myobject2_2", &print_myobject2_2);
+ m.def("print_myobject2_3", &print_myobject2_3);
+ m.def("print_myobject2_4", &print_myobject2_4);
+
+ py::class_<MyObject3, std::shared_ptr<MyObject3>>(m, "MyObject3")
+ .def(py::init<int>());
+ m.def("make_myobject3_1", &make_myobject3_1);
+ m.def("make_myobject3_2", &make_myobject3_2);
+ m.def("print_myobject3_1", &print_myobject3_1);
+ m.def("print_myobject3_2", &print_myobject3_2);
+ m.def("print_myobject3_3", &print_myobject3_3);
+ m.def("print_myobject3_4", &print_myobject3_4);
+
+ py::class_<MyObject4, std::unique_ptr<MyObject4, py::nodelete>>(m, "MyObject4")
+ .def(py::init<int>())
+ .def_readwrite("value", &MyObject4::value);
+
+ py::implicitly_convertible<py::int_, MyObject1>();
+
+ // Expose constructor stats for the ref type
+ m.def("cstats_ref", &ConstructorStats::get<ref_tag>);
+});
+
+struct SharedPtrRef {
+ struct A {
+ A() { print_created(this); }
+ A(const A &) { print_copy_created(this); }
+ A(A &&) { print_move_created(this); }
+ ~A() { print_destroyed(this); }
+ };
+
+ A value = {};
+ std::shared_ptr<A> shared = std::make_shared<A>();
+};
+
+struct SharedFromThisRef {
+ struct B : std::enable_shared_from_this<B> {
+ B() { print_created(this); }
+ B(const B &) : std::enable_shared_from_this<B>() { print_copy_created(this); }
+ B(B &&) : std::enable_shared_from_this<B>() { print_move_created(this); }
+ ~B() { print_destroyed(this); }
+ };
+
+ B value = {};
+ std::shared_ptr<B> shared = std::make_shared<B>();
+};
+
+test_initializer smart_ptr_and_references([](py::module &pm) {
+ auto m = pm.def_submodule("smart_ptr");
+
+ using A = SharedPtrRef::A;
+ py::class_<A, std::shared_ptr<A>>(m, "A");
+
+ py::class_<SharedPtrRef>(m, "SharedPtrRef")
+ .def(py::init<>())
+ .def_readonly("ref", &SharedPtrRef::value)
+ .def_property_readonly("copy", [](const SharedPtrRef &s) { return s.value; },
+ py::return_value_policy::copy)
+ .def_readonly("holder_ref", &SharedPtrRef::shared)
+ .def_property_readonly("holder_copy", [](const SharedPtrRef &s) { return s.shared; },
+ py::return_value_policy::copy)
+ .def("set_ref", [](SharedPtrRef &, const A &) { return true; })
+ .def("set_holder", [](SharedPtrRef &, std::shared_ptr<A>) { return true; });
+
+ using B = SharedFromThisRef::B;
+ py::class_<B, std::shared_ptr<B>>(m, "B");
+
+ py::class_<SharedFromThisRef>(m, "SharedFromThisRef")
+ .def(py::init<>())
+ .def_readonly("bad_wp", &SharedFromThisRef::value)
+ .def_property_readonly("ref", [](const SharedFromThisRef &s) -> const B & { return *s.shared; })
+ .def_property_readonly("copy", [](const SharedFromThisRef &s) { return s.value; },
+ py::return_value_policy::copy)
+ .def_readonly("holder_ref", &SharedFromThisRef::shared)
+ .def_property_readonly("holder_copy", [](const SharedFromThisRef &s) { return s.shared; },
+ py::return_value_policy::copy)
+ .def("set_ref", [](SharedFromThisRef &, const B &) { return true; })
+ .def("set_holder", [](SharedFromThisRef &, std::shared_ptr<B>) { return true; });
+});
--- /dev/null
+import pytest
+from pybind11_tests import ConstructorStats
+
+
+def test_smart_ptr(capture):
+ # Object1
+ from pybind11_tests import (MyObject1, make_object_1, make_object_2,
+ print_object_1, print_object_2, print_object_3, print_object_4)
+
+ for i, o in enumerate([make_object_1(), make_object_2(), MyObject1(3)], start=1):
+ assert o.getRefCount() == 1
+ with capture:
+ print_object_1(o)
+ print_object_2(o)
+ print_object_3(o)
+ print_object_4(o)
+ assert capture == "MyObject1[{i}]\n".format(i=i) * 4
+
+ from pybind11_tests import (make_myobject1_1, make_myobject1_2,
+ print_myobject1_1, print_myobject1_2,
+ print_myobject1_3, print_myobject1_4)
+
+ for i, o in enumerate([make_myobject1_1(), make_myobject1_2(), MyObject1(6), 7], start=4):
+ print(o)
+ with capture:
+ if not isinstance(o, int):
+ print_object_1(o)
+ print_object_2(o)
+ print_object_3(o)
+ print_object_4(o)
+ print_myobject1_1(o)
+ print_myobject1_2(o)
+ print_myobject1_3(o)
+ print_myobject1_4(o)
+ assert capture == "MyObject1[{i}]\n".format(i=i) * (4 if isinstance(o, int) else 8)
+
+ cstats = ConstructorStats.get(MyObject1)
+ assert cstats.alive() == 0
+ expected_values = ['MyObject1[{}]'.format(i) for i in range(1, 7)] + ['MyObject1[7]'] * 4
+ assert cstats.values() == expected_values
+ assert cstats.default_constructions == 0
+ assert cstats.copy_constructions == 0
+ # assert cstats.move_constructions >= 0 # Doesn't invoke any
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+ # Object2
+ from pybind11_tests import (MyObject2, make_myobject2_1, make_myobject2_2,
+ make_myobject3_1, make_myobject3_2,
+ print_myobject2_1, print_myobject2_2,
+ print_myobject2_3, print_myobject2_4)
+
+ for i, o in zip([8, 6, 7], [MyObject2(8), make_myobject2_1(), make_myobject2_2()]):
+ print(o)
+ with capture:
+ print_myobject2_1(o)
+ print_myobject2_2(o)
+ print_myobject2_3(o)
+ print_myobject2_4(o)
+ assert capture == "MyObject2[{i}]\n".format(i=i) * 4
+
+ cstats = ConstructorStats.get(MyObject2)
+ assert cstats.alive() == 1
+ o = None
+ assert cstats.alive() == 0
+ assert cstats.values() == ['MyObject2[8]', 'MyObject2[6]', 'MyObject2[7]']
+ assert cstats.default_constructions == 0
+ assert cstats.copy_constructions == 0
+ # assert cstats.move_constructions >= 0 # Doesn't invoke any
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+ # Object3
+ from pybind11_tests import (MyObject3, print_myobject3_1, print_myobject3_2,
+ print_myobject3_3, print_myobject3_4)
+
+ for i, o in zip([9, 8, 9], [MyObject3(9), make_myobject3_1(), make_myobject3_2()]):
+ print(o)
+ with capture:
+ print_myobject3_1(o)
+ print_myobject3_2(o)
+ print_myobject3_3(o)
+ print_myobject3_4(o)
+ assert capture == "MyObject3[{i}]\n".format(i=i) * 4
+
+ cstats = ConstructorStats.get(MyObject3)
+ assert cstats.alive() == 1
+ o = None
+ assert cstats.alive() == 0
+ assert cstats.values() == ['MyObject3[9]', 'MyObject3[8]', 'MyObject3[9]']
+ assert cstats.default_constructions == 0
+ assert cstats.copy_constructions == 0
+ # assert cstats.move_constructions >= 0 # Doesn't invoke any
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+ # Object and ref
+ from pybind11_tests import Object, cstats_ref
+
+ cstats = ConstructorStats.get(Object)
+ assert cstats.alive() == 0
+ assert cstats.values() == []
+ assert cstats.default_constructions == 10
+ assert cstats.copy_constructions == 0
+ # assert cstats.move_constructions >= 0 # Doesn't invoke any
+ assert cstats.copy_assignments == 0
+ assert cstats.move_assignments == 0
+
+ cstats = cstats_ref()
+ assert cstats.alive() == 0
+ assert cstats.values() == ['from pointer'] * 10
+ assert cstats.default_constructions == 30
+ assert cstats.copy_constructions == 12
+ # assert cstats.move_constructions >= 0 # Doesn't invoke any
+ assert cstats.copy_assignments == 30
+ assert cstats.move_assignments == 0
+
+
+def test_unique_nodelete():
+ from pybind11_tests import MyObject4
+ o = MyObject4(23)
+ assert o.value == 23
+ cstats = ConstructorStats.get(MyObject4)
+ assert cstats.alive() == 1
+ del o
+ cstats = ConstructorStats.get(MyObject4)
+ assert cstats.alive() == 1 # Leak, but that's intentional
+
+
+def test_shared_ptr_and_references():
+ from pybind11_tests.smart_ptr import SharedPtrRef, A
+
+ s = SharedPtrRef()
+ stats = ConstructorStats.get(A)
+ assert stats.alive() == 2
+
+ ref = s.ref # init_holder_helper(holder_ptr=false, owned=false)
+ assert stats.alive() == 2
+ assert s.set_ref(ref)
+ with pytest.raises(RuntimeError) as excinfo:
+ assert s.set_holder(ref)
+ assert "Unable to cast from non-held to held instance" in str(excinfo.value)
+
+ copy = s.copy # init_holder_helper(holder_ptr=false, owned=true)
+ assert stats.alive() == 3
+ assert s.set_ref(copy)
+ assert s.set_holder(copy)
+
+ holder_ref = s.holder_ref # init_holder_helper(holder_ptr=true, owned=false)
+ assert stats.alive() == 3
+ assert s.set_ref(holder_ref)
+ assert s.set_holder(holder_ref)
+
+ holder_copy = s.holder_copy # init_holder_helper(holder_ptr=true, owned=true)
+ assert stats.alive() == 3
+ assert s.set_ref(holder_copy)
+ assert s.set_holder(holder_copy)
+
+ del ref, copy, holder_ref, holder_copy, s
+ assert stats.alive() == 0
+
+
+def test_shared_ptr_from_this_and_references():
+ from pybind11_tests.smart_ptr import SharedFromThisRef, B
+
+ s = SharedFromThisRef()
+ stats = ConstructorStats.get(B)
+ assert stats.alive() == 2
+
+ ref = s.ref # init_holder_helper(holder_ptr=false, owned=false, bad_wp=false)
+ assert stats.alive() == 2
+ assert s.set_ref(ref)
+ assert s.set_holder(ref) # std::enable_shared_from_this can create a holder from a reference
+
+ bad_wp = s.bad_wp # init_holder_helper(holder_ptr=false, owned=false, bad_wp=true)
+ assert stats.alive() == 2
+ assert s.set_ref(bad_wp)
+ with pytest.raises(RuntimeError) as excinfo:
+ assert s.set_holder(bad_wp)
+ assert "Unable to cast from non-held to held instance" in str(excinfo.value)
+
+ copy = s.copy # init_holder_helper(holder_ptr=false, owned=true, bad_wp=false)
+ assert stats.alive() == 3
+ assert s.set_ref(copy)
+ assert s.set_holder(copy)
+
+ holder_ref = s.holder_ref # init_holder_helper(holder_ptr=true, owned=false, bad_wp=false)
+ assert stats.alive() == 3
+ assert s.set_ref(holder_ref)
+ assert s.set_holder(holder_ref)
+
+ holder_copy = s.holder_copy # init_holder_helper(holder_ptr=true, owned=true, bad_wp=false)
+ assert stats.alive() == 3
+ assert s.set_ref(holder_copy)
+ assert s.set_holder(holder_copy)
+
+ del ref, bad_wp, copy, holder_ref, holder_copy, s
+ assert stats.alive() == 0
--- /dev/null
+/*
+ tests/test_stl_binders.cpp -- Usage of stl_binders functions
+
+ Copyright (c) 2016 Sergey Lyskov
+
+ 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/stl_bind.h>
+#include <map>
+#include <deque>
+#include <unordered_map>
+
+class El {
+public:
+ El() = delete;
+ El(int v) : a(v) { }
+
+ int a;
+};
+
+std::ostream & operator<<(std::ostream &s, El const&v) {
+ s << "El{" << v.a << '}';
+ return s;
+}
+
+/// Issue #487: binding std::vector<E> with E non-copyable
+class E_nc {
+public:
+ explicit E_nc(int i) : value{i} {}
+ E_nc(const E_nc &) = delete;
+ E_nc &operator=(const E_nc &) = delete;
+ E_nc(E_nc &&) = default;
+ E_nc &operator=(E_nc &&) = default;
+
+ int value;
+};
+
+template <class Container> Container *one_to_n(int n) {
+ auto v = new Container();
+ for (int i = 1; i <= n; i++)
+ v->emplace_back(i);
+ return v;
+}
+
+template <class Map> Map *times_ten(int n) {
+ auto m = new Map();
+ for (int i = 1; i <= n; i++)
+ m->emplace(int(i), E_nc(10*i));
+ return m;
+}
+
+test_initializer stl_binder_vector([](py::module &m) {
+ py::class_<El>(m, "El")
+ .def(py::init<int>());
+
+ py::bind_vector<std::vector<unsigned int>>(m, "VectorInt");
+ py::bind_vector<std::vector<bool>>(m, "VectorBool");
+
+ py::bind_vector<std::vector<El>>(m, "VectorEl");
+
+ py::bind_vector<std::vector<std::vector<El>>>(m, "VectorVectorEl");
+
+});
+
+test_initializer stl_binder_map([](py::module &m) {
+ py::bind_map<std::map<std::string, double>>(m, "MapStringDouble");
+ py::bind_map<std::unordered_map<std::string, double>>(m, "UnorderedMapStringDouble");
+
+ py::bind_map<std::map<std::string, double const>>(m, "MapStringDoubleConst");
+ py::bind_map<std::unordered_map<std::string, double const>>(m, "UnorderedMapStringDoubleConst");
+
+});
+
+test_initializer stl_binder_noncopyable([](py::module &m) {
+ py::class_<E_nc>(m, "ENC")
+ .def(py::init<int>())
+ .def_readwrite("value", &E_nc::value);
+
+ py::bind_vector<std::vector<E_nc>>(m, "VectorENC");
+ m.def("get_vnc", &one_to_n<std::vector<E_nc>>, py::return_value_policy::reference);
+
+ py::bind_vector<std::deque<E_nc>>(m, "DequeENC");
+ m.def("get_dnc", &one_to_n<std::deque<E_nc>>, py::return_value_policy::reference);
+
+ py::bind_map<std::map<int, E_nc>>(m, "MapENC");
+ m.def("get_mnc", ×_ten<std::map<int, E_nc>>, py::return_value_policy::reference);
+
+ py::bind_map<std::unordered_map<int, E_nc>>(m, "UmapENC");
+ m.def("get_umnc", ×_ten<std::unordered_map<int, E_nc>>, py::return_value_policy::reference);
+});
+
--- /dev/null
+def test_vector_int():
+ from pybind11_tests import VectorInt
+
+ v_int = VectorInt([0, 0])
+ assert len(v_int) == 2
+ assert bool(v_int) is True
+
+ v_int2 = VectorInt([0, 0])
+ assert v_int == v_int2
+ v_int2[1] = 1
+ assert v_int != v_int2
+
+ v_int2.append(2)
+ v_int2.append(3)
+ v_int2.insert(0, 1)
+ v_int2.insert(0, 2)
+ v_int2.insert(0, 3)
+ assert str(v_int2) == "VectorInt[3, 2, 1, 0, 1, 2, 3]"
+
+ v_int.append(99)
+ v_int2[2:-2] = v_int
+ assert v_int2 == VectorInt([3, 2, 0, 0, 99, 2, 3])
+ del v_int2[1:3]
+ assert v_int2 == VectorInt([3, 0, 99, 2, 3])
+ del v_int2[0]
+ assert v_int2 == VectorInt([0, 99, 2, 3])
+
+
+def test_vector_custom():
+ from pybind11_tests import El, VectorEl, VectorVectorEl
+
+ v_a = VectorEl()
+ v_a.append(El(1))
+ v_a.append(El(2))
+ assert str(v_a) == "VectorEl[El{1}, El{2}]"
+
+ vv_a = VectorVectorEl()
+ vv_a.append(v_a)
+ vv_b = vv_a[0]
+ assert str(vv_b) == "VectorEl[El{1}, El{2}]"
+
+
+def test_vector_bool():
+ from pybind11_tests import VectorBool
+
+ vv_c = VectorBool()
+ for i in range(10):
+ vv_c.append(i % 2 == 0)
+ for i in range(10):
+ assert vv_c[i] == (i % 2 == 0)
+ assert str(vv_c) == "VectorBool[1, 0, 1, 0, 1, 0, 1, 0, 1, 0]"
+
+
+def test_map_string_double():
+ from pybind11_tests import MapStringDouble, UnorderedMapStringDouble
+
+ m = MapStringDouble()
+ m['a'] = 1
+ m['b'] = 2.5
+
+ assert list(m) == ['a', 'b']
+ assert list(m.items()) == [('a', 1), ('b', 2.5)]
+ assert str(m) == "MapStringDouble{a: 1, b: 2.5}"
+
+ um = UnorderedMapStringDouble()
+ um['ua'] = 1.1
+ um['ub'] = 2.6
+
+ assert sorted(list(um)) == ['ua', 'ub']
+ assert sorted(list(um.items())) == [('ua', 1.1), ('ub', 2.6)]
+ assert "UnorderedMapStringDouble" in str(um)
+
+
+def test_map_string_double_const():
+ from pybind11_tests import MapStringDoubleConst, UnorderedMapStringDoubleConst
+
+ mc = MapStringDoubleConst()
+ mc['a'] = 10
+ mc['b'] = 20.5
+ assert str(mc) == "MapStringDoubleConst{a: 10, b: 20.5}"
+
+ umc = UnorderedMapStringDoubleConst()
+ umc['a'] = 11
+ umc['b'] = 21.5
+
+ str(umc)
+
+
+def test_noncopyable_vector():
+ from pybind11_tests import get_vnc
+
+ vnc = get_vnc(5)
+ for i in range(0, 5):
+ assert vnc[i].value == i + 1
+
+ for i, j in enumerate(vnc, start=1):
+ assert j.value == i
+
+
+def test_noncopyable_deque():
+ from pybind11_tests import get_dnc
+
+ dnc = get_dnc(5)
+ for i in range(0, 5):
+ assert dnc[i].value == i + 1
+
+ i = 1
+ for j in dnc:
+ assert(j.value == i)
+ i += 1
+
+
+def test_noncopyable_map():
+ from pybind11_tests import get_mnc
+
+ mnc = get_mnc(5)
+ for i in range(1, 6):
+ assert mnc[i].value == 10 * i
+
+ vsum = 0
+ for k, v in mnc.items():
+ assert v.value == 10 * k
+ vsum += v.value
+
+ assert vsum == 150
+
+
+def test_noncopyable_unordered_map():
+ from pybind11_tests import get_umnc
+
+ mnc = get_umnc(5)
+ for i in range(1, 6):
+ assert mnc[i].value == 10 * i
+
+ vsum = 0
+ for k, v in mnc.items():
+ assert v.value == 10 * k
+ vsum += v.value
+
+ assert vsum == 150
--- /dev/null
+/*
+ tests/test_virtual_functions.cpp -- overriding virtual functions from Python
+
+ 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>
+
+/* This is an example class that we'll want to be able to extend from Python */
+class ExampleVirt {
+public:
+ ExampleVirt(int state) : state(state) { print_created(this, state); }
+ ExampleVirt(const ExampleVirt &e) : state(e.state) { print_copy_created(this); }
+ ExampleVirt(ExampleVirt &&e) : state(e.state) { print_move_created(this); e.state = 0; }
+ ~ExampleVirt() { print_destroyed(this); }
+
+ virtual int run(int value) {
+ py::print("Original implementation of "
+ "ExampleVirt::run(state={}, value={}, str1={}, str2={})"_s.format(state, value, get_string1(), *get_string2()));
+ return state + value;
+ }
+
+ virtual bool run_bool() = 0;
+ virtual void pure_virtual() = 0;
+
+ // Returning a reference/pointer to a type converted from python (numbers, strings, etc.) is a
+ // bit trickier, because the actual int& or std::string& or whatever only exists temporarily, so
+ // we have to handle it specially in the trampoline class (see below).
+ virtual const std::string &get_string1() { return str1; }
+ virtual const std::string *get_string2() { return &str2; }
+
+private:
+ int state;
+ const std::string str1{"default1"}, str2{"default2"};
+};
+
+/* This is a wrapper class that must be generated */
+class PyExampleVirt : public ExampleVirt {
+public:
+ using ExampleVirt::ExampleVirt; /* Inherit constructors */
+
+ int run(int value) override {
+ /* Generate wrapping code that enables native function overloading */
+ PYBIND11_OVERLOAD(
+ int, /* Return type */
+ ExampleVirt, /* Parent class */
+ run, /* Name of function */
+ value /* Argument(s) */
+ );
+ }
+
+ bool run_bool() override {
+ PYBIND11_OVERLOAD_PURE(
+ bool, /* Return type */
+ ExampleVirt, /* Parent class */
+ run_bool, /* Name of function */
+ /* This function has no arguments. The trailing comma
+ in the previous line is needed for some compilers */
+ );
+ }
+
+ void pure_virtual() override {
+ PYBIND11_OVERLOAD_PURE(
+ void, /* Return type */
+ ExampleVirt, /* Parent class */
+ pure_virtual, /* Name of function */
+ /* This function has no arguments. The trailing comma
+ in the previous line is needed for some compilers */
+ );
+ }
+
+ // We can return reference types for compatibility with C++ virtual interfaces that do so, but
+ // note they have some significant limitations (see the documentation).
+ const std::string &get_string1() override {
+ PYBIND11_OVERLOAD(
+ const std::string &, /* Return type */
+ ExampleVirt, /* Parent class */
+ get_string1, /* Name of function */
+ /* (no arguments) */
+ );
+ }
+
+ const std::string *get_string2() override {
+ PYBIND11_OVERLOAD(
+ const std::string *, /* Return type */
+ ExampleVirt, /* Parent class */
+ get_string2, /* Name of function */
+ /* (no arguments) */
+ );
+ }
+
+};
+
+class NonCopyable {
+public:
+ NonCopyable(int a, int b) : value{new int(a*b)} { print_created(this, a, b); }
+ NonCopyable(NonCopyable &&o) { value = std::move(o.value); print_move_created(this); }
+ NonCopyable(const NonCopyable &) = delete;
+ NonCopyable() = delete;
+ void operator=(const NonCopyable &) = delete;
+ void operator=(NonCopyable &&) = delete;
+ std::string get_value() const {
+ if (value) return std::to_string(*value); else return "(null)";
+ }
+ ~NonCopyable() { print_destroyed(this); }
+
+private:
+ std::unique_ptr<int> value;
+};
+
+// This is like the above, but is both copy and movable. In effect this means it should get moved
+// when it is not referenced elsewhere, but copied if it is still referenced.
+class Movable {
+public:
+ Movable(int a, int b) : value{a+b} { print_created(this, a, b); }
+ Movable(const Movable &m) { value = m.value; print_copy_created(this); }
+ Movable(Movable &&m) { value = std::move(m.value); print_move_created(this); }
+ std::string get_value() const { return std::to_string(value); }
+ ~Movable() { print_destroyed(this); }
+private:
+ int value;
+};
+
+class NCVirt {
+public:
+ virtual NonCopyable get_noncopyable(int a, int b) { return NonCopyable(a, b); }
+ virtual Movable get_movable(int a, int b) = 0;
+
+ std::string print_nc(int a, int b) { return get_noncopyable(a, b).get_value(); }
+ std::string print_movable(int a, int b) { return get_movable(a, b).get_value(); }
+};
+class NCVirtTrampoline : public NCVirt {
+#if !defined(__INTEL_COMPILER)
+ NonCopyable get_noncopyable(int a, int b) override {
+ PYBIND11_OVERLOAD(NonCopyable, NCVirt, get_noncopyable, a, b);
+ }
+#endif
+ Movable get_movable(int a, int b) override {
+ PYBIND11_OVERLOAD_PURE(Movable, NCVirt, get_movable, a, b);
+ }
+};
+
+int runExampleVirt(ExampleVirt *ex, int value) {
+ return ex->run(value);
+}
+
+bool runExampleVirtBool(ExampleVirt* ex) {
+ return ex->run_bool();
+}
+
+void runExampleVirtVirtual(ExampleVirt *ex) {
+ ex->pure_virtual();
+}
+
+
+// Inheriting virtual methods. We do two versions here: the repeat-everything version and the
+// templated trampoline versions mentioned in docs/advanced.rst.
+//
+// These base classes are exactly the same, but we technically need distinct
+// classes for this example code because we need to be able to bind them
+// properly (pybind11, sensibly, doesn't allow us to bind the same C++ class to
+// multiple python classes).
+class A_Repeat {
+#define A_METHODS \
+public: \
+ virtual int unlucky_number() = 0; \
+ virtual std::string say_something(unsigned times) { \
+ std::string s = ""; \
+ for (unsigned i = 0; i < times; ++i) \
+ s += "hi"; \
+ return s; \
+ } \
+ std::string say_everything() { \
+ return say_something(1) + " " + std::to_string(unlucky_number()); \
+ }
+A_METHODS
+};
+class B_Repeat : public A_Repeat {
+#define B_METHODS \
+public: \
+ int unlucky_number() override { return 13; } \
+ std::string say_something(unsigned times) override { \
+ return "B says hi " + std::to_string(times) + " times"; \
+ } \
+ virtual double lucky_number() { return 7.0; }
+B_METHODS
+};
+class C_Repeat : public B_Repeat {
+#define C_METHODS \
+public: \
+ int unlucky_number() override { return 4444; } \
+ double lucky_number() override { return 888; }
+C_METHODS
+};
+class D_Repeat : public C_Repeat {
+#define D_METHODS // Nothing overridden.
+D_METHODS
+};
+
+// Base classes for templated inheritance trampolines. Identical to the repeat-everything version:
+class A_Tpl { A_METHODS };
+class B_Tpl : public A_Tpl { B_METHODS };
+class C_Tpl : public B_Tpl { C_METHODS };
+class D_Tpl : public C_Tpl { D_METHODS };
+
+
+// Inheritance approach 1: each trampoline gets every virtual method (11 in total)
+class PyA_Repeat : public A_Repeat {
+public:
+ using A_Repeat::A_Repeat;
+ int unlucky_number() override { PYBIND11_OVERLOAD_PURE(int, A_Repeat, unlucky_number, ); }
+ std::string say_something(unsigned times) override { PYBIND11_OVERLOAD(std::string, A_Repeat, say_something, times); }
+};
+class PyB_Repeat : public B_Repeat {
+public:
+ using B_Repeat::B_Repeat;
+ int unlucky_number() override { PYBIND11_OVERLOAD(int, B_Repeat, unlucky_number, ); }
+ std::string say_something(unsigned times) override { PYBIND11_OVERLOAD(std::string, B_Repeat, say_something, times); }
+ double lucky_number() override { PYBIND11_OVERLOAD(double, B_Repeat, lucky_number, ); }
+};
+class PyC_Repeat : public C_Repeat {
+public:
+ using C_Repeat::C_Repeat;
+ int unlucky_number() override { PYBIND11_OVERLOAD(int, C_Repeat, unlucky_number, ); }
+ std::string say_something(unsigned times) override { PYBIND11_OVERLOAD(std::string, C_Repeat, say_something, times); }
+ double lucky_number() override { PYBIND11_OVERLOAD(double, C_Repeat, lucky_number, ); }
+};
+class PyD_Repeat : public D_Repeat {
+public:
+ using D_Repeat::D_Repeat;
+ int unlucky_number() override { PYBIND11_OVERLOAD(int, D_Repeat, unlucky_number, ); }
+ std::string say_something(unsigned times) override { PYBIND11_OVERLOAD(std::string, D_Repeat, say_something, times); }
+ double lucky_number() override { PYBIND11_OVERLOAD(double, D_Repeat, lucky_number, ); }
+};
+
+// Inheritance approach 2: templated trampoline classes.
+//
+// Advantages:
+// - we have only 2 (template) class and 4 method declarations (one per virtual method, plus one for
+// any override of a pure virtual method), versus 4 classes and 6 methods (MI) or 4 classes and 11
+// methods (repeat).
+// - Compared to MI, we also don't have to change the non-trampoline inheritance to virtual, and can
+// properly inherit constructors.
+//
+// Disadvantage:
+// - the compiler must still generate and compile 14 different methods (more, even, than the 11
+// required for the repeat approach) instead of the 6 required for MI. (If there was no pure
+// method (or no pure method override), the number would drop down to the same 11 as the repeat
+// approach).
+template <class Base = A_Tpl>
+class PyA_Tpl : public Base {
+public:
+ using Base::Base; // Inherit constructors
+ int unlucky_number() override { PYBIND11_OVERLOAD_PURE(int, Base, unlucky_number, ); }
+ std::string say_something(unsigned times) override { PYBIND11_OVERLOAD(std::string, Base, say_something, times); }
+};
+template <class Base = B_Tpl>
+class PyB_Tpl : public PyA_Tpl<Base> {
+public:
+ using PyA_Tpl<Base>::PyA_Tpl; // Inherit constructors (via PyA_Tpl's inherited constructors)
+ int unlucky_number() override { PYBIND11_OVERLOAD(int, Base, unlucky_number, ); }
+ double lucky_number() override { PYBIND11_OVERLOAD(double, Base, lucky_number, ); }
+};
+// Since C_Tpl and D_Tpl don't declare any new virtual methods, we don't actually need these (we can
+// use PyB_Tpl<C_Tpl> and PyB_Tpl<D_Tpl> for the trampoline classes instead):
+/*
+template <class Base = C_Tpl> class PyC_Tpl : public PyB_Tpl<Base> {
+public:
+ using PyB_Tpl<Base>::PyB_Tpl;
+};
+template <class Base = D_Tpl> class PyD_Tpl : public PyC_Tpl<Base> {
+public:
+ using PyC_Tpl<Base>::PyC_Tpl;
+};
+*/
+
+
+void initialize_inherited_virtuals(py::module &m) {
+ // Method 1: repeat
+ py::class_<A_Repeat, PyA_Repeat>(m, "A_Repeat")
+ .def(py::init<>())
+ .def("unlucky_number", &A_Repeat::unlucky_number)
+ .def("say_something", &A_Repeat::say_something)
+ .def("say_everything", &A_Repeat::say_everything);
+ py::class_<B_Repeat, A_Repeat, PyB_Repeat>(m, "B_Repeat")
+ .def(py::init<>())
+ .def("lucky_number", &B_Repeat::lucky_number);
+ py::class_<C_Repeat, B_Repeat, PyC_Repeat>(m, "C_Repeat")
+ .def(py::init<>());
+ py::class_<D_Repeat, C_Repeat, PyD_Repeat>(m, "D_Repeat")
+ .def(py::init<>());
+
+ // Method 2: Templated trampolines
+ py::class_<A_Tpl, PyA_Tpl<>>(m, "A_Tpl")
+ .def(py::init<>())
+ .def("unlucky_number", &A_Tpl::unlucky_number)
+ .def("say_something", &A_Tpl::say_something)
+ .def("say_everything", &A_Tpl::say_everything);
+ py::class_<B_Tpl, A_Tpl, PyB_Tpl<>>(m, "B_Tpl")
+ .def(py::init<>())
+ .def("lucky_number", &B_Tpl::lucky_number);
+ py::class_<C_Tpl, B_Tpl, PyB_Tpl<C_Tpl>>(m, "C_Tpl")
+ .def(py::init<>());
+ py::class_<D_Tpl, C_Tpl, PyB_Tpl<D_Tpl>>(m, "D_Tpl")
+ .def(py::init<>());
+
+};
+
+
+test_initializer virtual_functions([](py::module &m) {
+ /* Important: indicate the trampoline class PyExampleVirt using the third
+ argument to py::class_. The second argument with the unique pointer
+ is simply the default holder type used by pybind11. */
+ py::class_<ExampleVirt, PyExampleVirt>(m, "ExampleVirt")
+ .def(py::init<int>())
+ /* Reference original class in function definitions */
+ .def("run", &ExampleVirt::run)
+ .def("run_bool", &ExampleVirt::run_bool)
+ .def("pure_virtual", &ExampleVirt::pure_virtual);
+
+ py::class_<NonCopyable>(m, "NonCopyable")
+ .def(py::init<int, int>());
+
+ py::class_<Movable>(m, "Movable")
+ .def(py::init<int, int>());
+
+#if !defined(__INTEL_COMPILER)
+ py::class_<NCVirt, NCVirtTrampoline>(m, "NCVirt")
+ .def(py::init<>())
+ .def("get_noncopyable", &NCVirt::get_noncopyable)
+ .def("get_movable", &NCVirt::get_movable)
+ .def("print_nc", &NCVirt::print_nc)
+ .def("print_movable", &NCVirt::print_movable);
+#endif
+
+ m.def("runExampleVirt", &runExampleVirt);
+ m.def("runExampleVirtBool", &runExampleVirtBool);
+ m.def("runExampleVirtVirtual", &runExampleVirtVirtual);
+
+ m.def("cstats_debug", &ConstructorStats::get<ExampleVirt>);
+ initialize_inherited_virtuals(m);
+});
--- /dev/null
+import pytest
+import pybind11_tests
+from pybind11_tests import ConstructorStats
+
+
+def test_override(capture, msg):
+ from pybind11_tests import (ExampleVirt, runExampleVirt, runExampleVirtVirtual,
+ runExampleVirtBool)
+
+ class ExtendedExampleVirt(ExampleVirt):
+ def __init__(self, state):
+ super(ExtendedExampleVirt, self).__init__(state + 1)
+ self.data = "Hello world"
+
+ def run(self, value):
+ print('ExtendedExampleVirt::run(%i), calling parent..' % value)
+ return super(ExtendedExampleVirt, self).run(value + 1)
+
+ def run_bool(self):
+ print('ExtendedExampleVirt::run_bool()')
+ return False
+
+ def get_string1(self):
+ return "override1"
+
+ def pure_virtual(self):
+ print('ExtendedExampleVirt::pure_virtual(): %s' % self.data)
+
+ class ExtendedExampleVirt2(ExtendedExampleVirt):
+ def __init__(self, state):
+ super(ExtendedExampleVirt2, self).__init__(state + 1)
+
+ def get_string2(self):
+ return "override2"
+
+ ex12 = ExampleVirt(10)
+ with capture:
+ assert runExampleVirt(ex12, 20) == 30
+ assert capture == """
+ Original implementation of ExampleVirt::run(state=10, value=20, str1=default1, str2=default2)
+ """ # noqa: E501 line too long
+
+ with pytest.raises(RuntimeError) as excinfo:
+ runExampleVirtVirtual(ex12)
+ assert msg(excinfo.value) == 'Tried to call pure virtual function "ExampleVirt::pure_virtual"'
+
+ ex12p = ExtendedExampleVirt(10)
+ with capture:
+ assert runExampleVirt(ex12p, 20) == 32
+ assert capture == """
+ ExtendedExampleVirt::run(20), calling parent..
+ Original implementation of ExampleVirt::run(state=11, value=21, str1=override1, str2=default2)
+ """ # noqa: E501 line too long
+ with capture:
+ assert runExampleVirtBool(ex12p) is False
+ assert capture == "ExtendedExampleVirt::run_bool()"
+ with capture:
+ runExampleVirtVirtual(ex12p)
+ assert capture == "ExtendedExampleVirt::pure_virtual(): Hello world"
+
+ ex12p2 = ExtendedExampleVirt2(15)
+ with capture:
+ assert runExampleVirt(ex12p2, 50) == 68
+ assert capture == """
+ ExtendedExampleVirt::run(50), calling parent..
+ Original implementation of ExampleVirt::run(state=17, value=51, str1=override1, str2=override2)
+ """ # noqa: E501 line too long
+
+ cstats = ConstructorStats.get(ExampleVirt)
+ assert cstats.alive() == 3
+ del ex12, ex12p, ex12p2
+ assert cstats.alive() == 0
+ assert cstats.values() == ['10', '11', '17']
+ assert cstats.copy_constructions == 0
+ assert cstats.move_constructions >= 0
+
+
+def test_inheriting_repeat():
+ from pybind11_tests import A_Repeat, B_Repeat, C_Repeat, D_Repeat, A_Tpl, B_Tpl, C_Tpl, D_Tpl
+
+ class AR(A_Repeat):
+ def unlucky_number(self):
+ return 99
+
+ class AT(A_Tpl):
+ def unlucky_number(self):
+ return 999
+
+ obj = AR()
+ assert obj.say_something(3) == "hihihi"
+ assert obj.unlucky_number() == 99
+ assert obj.say_everything() == "hi 99"
+
+ obj = AT()
+ assert obj.say_something(3) == "hihihi"
+ assert obj.unlucky_number() == 999
+ assert obj.say_everything() == "hi 999"
+
+ for obj in [B_Repeat(), B_Tpl()]:
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 13
+ assert obj.lucky_number() == 7.0
+ assert obj.say_everything() == "B says hi 1 times 13"
+
+ for obj in [C_Repeat(), C_Tpl()]:
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 888.0
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ class CR(C_Repeat):
+ def lucky_number(self):
+ return C_Repeat.lucky_number(self) + 1.25
+
+ obj = CR()
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 889.25
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ class CT(C_Tpl):
+ pass
+
+ obj = CT()
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 888.0
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ class CCR(CR):
+ def lucky_number(self):
+ return CR.lucky_number(self) * 10
+
+ obj = CCR()
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 8892.5
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ class CCT(CT):
+ def lucky_number(self):
+ return CT.lucky_number(self) * 1000
+
+ obj = CCT()
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 888000.0
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ class DR(D_Repeat):
+ def unlucky_number(self):
+ return 123
+
+ def lucky_number(self):
+ return 42.0
+
+ for obj in [D_Repeat(), D_Tpl()]:
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 4444
+ assert obj.lucky_number() == 888.0
+ assert obj.say_everything() == "B says hi 1 times 4444"
+
+ obj = DR()
+ assert obj.say_something(3) == "B says hi 3 times"
+ assert obj.unlucky_number() == 123
+ assert obj.lucky_number() == 42.0
+ assert obj.say_everything() == "B says hi 1 times 123"
+
+ class DT(D_Tpl):
+ def say_something(self, times):
+ return "DT says:" + (' quack' * times)
+
+ def unlucky_number(self):
+ return 1234
+
+ def lucky_number(self):
+ return -4.25
+
+ obj = DT()
+ assert obj.say_something(3) == "DT says: quack quack quack"
+ assert obj.unlucky_number() == 1234
+ assert obj.lucky_number() == -4.25
+ assert obj.say_everything() == "DT says: quack 1234"
+
+ class DT2(DT):
+ def say_something(self, times):
+ return "DT2: " + ('QUACK' * times)
+
+ def unlucky_number(self):
+ return -3
+
+ class BT(B_Tpl):
+ def say_something(self, times):
+ return "BT" * times
+
+ def unlucky_number(self):
+ return -7
+
+ def lucky_number(self):
+ return -1.375
+
+ obj = BT()
+ assert obj.say_something(3) == "BTBTBT"
+ assert obj.unlucky_number() == -7
+ assert obj.lucky_number() == -1.375
+ assert obj.say_everything() == "BT -7"
+
+
+@pytest.mark.skipif(not hasattr(pybind11_tests, 'NCVirt'),
+ reason="NCVirt test broken on ICPC")
+def test_move_support():
+ from pybind11_tests import NCVirt, NonCopyable, Movable
+
+ class NCVirtExt(NCVirt):
+ def get_noncopyable(self, a, b):
+ # Constructs and returns a new instance:
+ nc = NonCopyable(a * a, b * b)
+ return nc
+
+ def get_movable(self, a, b):
+ # Return a referenced copy
+ self.movable = Movable(a, b)
+ return self.movable
+
+ class NCVirtExt2(NCVirt):
+ def get_noncopyable(self, a, b):
+ # Keep a reference: this is going to throw an exception
+ self.nc = NonCopyable(a, b)
+ return self.nc
+
+ def get_movable(self, a, b):
+ # Return a new instance without storing it
+ return Movable(a, b)
+
+ ncv1 = NCVirtExt()
+ assert ncv1.print_nc(2, 3) == "36"
+ assert ncv1.print_movable(4, 5) == "9"
+ ncv2 = NCVirtExt2()
+ assert ncv2.print_movable(7, 7) == "14"
+ # Don't check the exception message here because it differs under debug/non-debug mode
+ with pytest.raises(RuntimeError):
+ ncv2.print_nc(9, 9)
+
+ nc_stats = ConstructorStats.get(NonCopyable)
+ mv_stats = ConstructorStats.get(Movable)
+ assert nc_stats.alive() == 1
+ assert mv_stats.alive() == 1
+ del ncv1, ncv2
+ assert nc_stats.alive() == 0
+ assert mv_stats.alive() == 0
+ assert nc_stats.values() == ['4', '9', '9', '9']
+ assert mv_stats.values() == ['4', '5', '7', '7']
+ assert nc_stats.copy_constructions == 0
+ assert mv_stats.copy_constructions == 1
+ assert nc_stats.move_constructions >= 0
+ assert mv_stats.move_constructions >= 0
--- /dev/null
+# - Try to find Eigen3 lib
+#
+# This module supports requiring a minimum version, e.g. you can do
+# find_package(Eigen3 3.1.2)
+# to require version 3.1.2 or newer of Eigen3.
+#
+# Once done this will define
+#
+# EIGEN3_FOUND - system has eigen lib with correct version
+# EIGEN3_INCLUDE_DIR - the eigen include directory
+# EIGEN3_VERSION - eigen version
+
+# Copyright (c) 2006, 2007 Montel Laurent, <montel@kde.org>
+# Copyright (c) 2008, 2009 Gael Guennebaud, <g.gael@free.fr>
+# Copyright (c) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+# Redistribution and use is allowed according to the terms of the 2-clause BSD license.
+
+if(NOT Eigen3_FIND_VERSION)
+ if(NOT Eigen3_FIND_VERSION_MAJOR)
+ set(Eigen3_FIND_VERSION_MAJOR 2)
+ endif(NOT Eigen3_FIND_VERSION_MAJOR)
+ if(NOT Eigen3_FIND_VERSION_MINOR)
+ set(Eigen3_FIND_VERSION_MINOR 91)
+ endif(NOT Eigen3_FIND_VERSION_MINOR)
+ if(NOT Eigen3_FIND_VERSION_PATCH)
+ set(Eigen3_FIND_VERSION_PATCH 0)
+ endif(NOT Eigen3_FIND_VERSION_PATCH)
+
+ set(Eigen3_FIND_VERSION "${Eigen3_FIND_VERSION_MAJOR}.${Eigen3_FIND_VERSION_MINOR}.${Eigen3_FIND_VERSION_PATCH}")
+endif(NOT Eigen3_FIND_VERSION)
+
+macro(_eigen3_check_version)
+ file(READ "${EIGEN3_INCLUDE_DIR}/Eigen/src/Core/util/Macros.h" _eigen3_version_header)
+
+ string(REGEX MATCH "define[ \t]+EIGEN_WORLD_VERSION[ \t]+([0-9]+)" _eigen3_world_version_match "${_eigen3_version_header}")
+ set(EIGEN3_WORLD_VERSION "${CMAKE_MATCH_1}")
+ string(REGEX MATCH "define[ \t]+EIGEN_MAJOR_VERSION[ \t]+([0-9]+)" _eigen3_major_version_match "${_eigen3_version_header}")
+ set(EIGEN3_MAJOR_VERSION "${CMAKE_MATCH_1}")
+ string(REGEX MATCH "define[ \t]+EIGEN_MINOR_VERSION[ \t]+([0-9]+)" _eigen3_minor_version_match "${_eigen3_version_header}")
+ set(EIGEN3_MINOR_VERSION "${CMAKE_MATCH_1}")
+
+ set(EIGEN3_VERSION ${EIGEN3_WORLD_VERSION}.${EIGEN3_MAJOR_VERSION}.${EIGEN3_MINOR_VERSION})
+ if(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+ set(EIGEN3_VERSION_OK FALSE)
+ else(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+ set(EIGEN3_VERSION_OK TRUE)
+ endif(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+
+ if(NOT EIGEN3_VERSION_OK)
+
+ message(STATUS "Eigen3 version ${EIGEN3_VERSION} found in ${EIGEN3_INCLUDE_DIR}, "
+ "but at least version ${Eigen3_FIND_VERSION} is required")
+ endif(NOT EIGEN3_VERSION_OK)
+endmacro(_eigen3_check_version)
+
+if (EIGEN3_INCLUDE_DIR)
+
+ # in cache already
+ _eigen3_check_version()
+ set(EIGEN3_FOUND ${EIGEN3_VERSION_OK})
+
+else (EIGEN3_INCLUDE_DIR)
+
+ find_path(EIGEN3_INCLUDE_DIR NAMES signature_of_eigen3_matrix_library
+ PATHS
+ ${CMAKE_INSTALL_PREFIX}/include
+ ${KDE4_INCLUDE_DIR}
+ PATH_SUFFIXES eigen3 eigen
+ )
+
+ if(EIGEN3_INCLUDE_DIR)
+ _eigen3_check_version()
+ endif(EIGEN3_INCLUDE_DIR)
+
+ include(FindPackageHandleStandardArgs)
+ find_package_handle_standard_args(Eigen3 DEFAULT_MSG EIGEN3_INCLUDE_DIR EIGEN3_VERSION_OK)
+
+ mark_as_advanced(EIGEN3_INCLUDE_DIR)
+
+endif(EIGEN3_INCLUDE_DIR)
+
--- /dev/null
+# - Find python libraries
+# This module finds the libraries corresponding to the Python interpeter
+# FindPythonInterp provides.
+# This code sets the following variables:
+#
+# PYTHONLIBS_FOUND - have the Python libs been found
+# PYTHON_PREFIX - path to the Python installation
+# PYTHON_LIBRARIES - path to the python library
+# PYTHON_INCLUDE_DIRS - path to where Python.h is found
+# PYTHON_MODULE_EXTENSION - lib extension, e.g. '.so' or '.pyd'
+# PYTHON_MODULE_PREFIX - lib name prefix: usually an empty string
+# PYTHON_SITE_PACKAGES - path to installation site-packages
+# PYTHON_IS_DEBUG - whether the Python interpreter is a debug build
+#
+# Thanks to talljimbo for the patch adding the 'LDVERSION' config
+# variable usage.
+
+#=============================================================================
+# Copyright 2001-2009 Kitware, Inc.
+# Copyright 2012 Continuum Analytics, Inc.
+#
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions
+# are met:
+#
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+#
+# * 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.
+#
+# * Neither the names of Kitware, Inc., the Insight Software Consortium,
+# nor the names of their 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.
+#=============================================================================
+
+if(PYTHONLIBS_FOUND)
+ return()
+endif()
+
+# Use the Python interpreter to find the libs.
+if(PythonLibsNew_FIND_REQUIRED)
+ find_package(PythonInterp ${PythonLibsNew_FIND_VERSION} REQUIRED)
+else()
+ find_package(PythonInterp ${PythonLibsNew_FIND_VERSION})
+endif()
+
+if(NOT PYTHONINTERP_FOUND)
+ set(PYTHONLIBS_FOUND FALSE)
+ return()
+endif()
+
+# According to http://stackoverflow.com/questions/646518/python-how-to-detect-debug-interpreter
+# testing whether sys has the gettotalrefcount function is a reliable, cross-platform
+# way to detect a CPython debug interpreter.
+#
+# The library suffix is from the config var LDVERSION sometimes, otherwise
+# VERSION. VERSION will typically be like "2.7" on unix, and "27" on windows.
+execute_process(COMMAND "${PYTHON_EXECUTABLE}" "-c"
+ "from distutils import sysconfig as s;import sys;import struct;
+print('.'.join(str(v) for v in sys.version_info));
+print(sys.prefix);
+print(s.get_python_inc(plat_specific=True));
+print(s.get_python_lib(plat_specific=True));
+print(s.get_config_var('SO'));
+print(hasattr(sys, 'gettotalrefcount')+0);
+print(struct.calcsize('@P'));
+print(s.get_config_var('LDVERSION') or s.get_config_var('VERSION'));
+print(s.get_config_var('LIBDIR') or '');
+print(s.get_config_var('MULTIARCH') or '');
+"
+ RESULT_VARIABLE _PYTHON_SUCCESS
+ OUTPUT_VARIABLE _PYTHON_VALUES
+ ERROR_VARIABLE _PYTHON_ERROR_VALUE)
+
+if(NOT _PYTHON_SUCCESS MATCHES 0)
+ if(PythonLibsNew_FIND_REQUIRED)
+ message(FATAL_ERROR
+ "Python config failure:\n${_PYTHON_ERROR_VALUE}")
+ endif()
+ set(PYTHONLIBS_FOUND FALSE)
+ return()
+endif()
+
+# Convert the process output into a list
+string(REGEX REPLACE ";" "\\\\;" _PYTHON_VALUES ${_PYTHON_VALUES})
+string(REGEX REPLACE "\n" ";" _PYTHON_VALUES ${_PYTHON_VALUES})
+list(GET _PYTHON_VALUES 0 _PYTHON_VERSION_LIST)
+list(GET _PYTHON_VALUES 1 PYTHON_PREFIX)
+list(GET _PYTHON_VALUES 2 PYTHON_INCLUDE_DIR)
+list(GET _PYTHON_VALUES 3 PYTHON_SITE_PACKAGES)
+list(GET _PYTHON_VALUES 4 PYTHON_MODULE_EXTENSION)
+list(GET _PYTHON_VALUES 5 PYTHON_IS_DEBUG)
+list(GET _PYTHON_VALUES 6 PYTHON_SIZEOF_VOID_P)
+list(GET _PYTHON_VALUES 7 PYTHON_LIBRARY_SUFFIX)
+list(GET _PYTHON_VALUES 8 PYTHON_LIBDIR)
+list(GET _PYTHON_VALUES 9 PYTHON_MULTIARCH)
+
+# Make sure the Python has the same pointer-size as the chosen compiler
+# Skip if CMAKE_SIZEOF_VOID_P is not defined
+if(CMAKE_SIZEOF_VOID_P AND (NOT "${PYTHON_SIZEOF_VOID_P}" STREQUAL "${CMAKE_SIZEOF_VOID_P}"))
+ if(PythonLibsNew_FIND_REQUIRED)
+ math(EXPR _PYTHON_BITS "${PYTHON_SIZEOF_VOID_P} * 8")
+ math(EXPR _CMAKE_BITS "${CMAKE_SIZEOF_VOID_P} * 8")
+ message(FATAL_ERROR
+ "Python config failure: Python is ${_PYTHON_BITS}-bit, "
+ "chosen compiler is ${_CMAKE_BITS}-bit")
+ endif()
+ set(PYTHONLIBS_FOUND FALSE)
+ return()
+endif()
+
+# The built-in FindPython didn't always give the version numbers
+string(REGEX REPLACE "\\." ";" _PYTHON_VERSION_LIST ${_PYTHON_VERSION_LIST})
+list(GET _PYTHON_VERSION_LIST 0 PYTHON_VERSION_MAJOR)
+list(GET _PYTHON_VERSION_LIST 1 PYTHON_VERSION_MINOR)
+list(GET _PYTHON_VERSION_LIST 2 PYTHON_VERSION_PATCH)
+
+# Make sure all directory separators are '/'
+string(REGEX REPLACE "\\\\" "/" PYTHON_PREFIX ${PYTHON_PREFIX})
+string(REGEX REPLACE "\\\\" "/" PYTHON_INCLUDE_DIR ${PYTHON_INCLUDE_DIR})
+string(REGEX REPLACE "\\\\" "/" PYTHON_SITE_PACKAGES ${PYTHON_SITE_PACKAGES})
+
+if(CMAKE_HOST_WIN32)
+ set(PYTHON_LIBRARY
+ "${PYTHON_PREFIX}/libs/Python${PYTHON_LIBRARY_SUFFIX}.lib")
+
+ # when run in a venv, PYTHON_PREFIX points to it. But the libraries remain in the
+ # original python installation. They may be found relative to PYTHON_INCLUDE_DIR.
+ if(NOT EXISTS "${PYTHON_LIBRARY}")
+ get_filename_component(_PYTHON_ROOT ${PYTHON_INCLUDE_DIR} DIRECTORY)
+ set(PYTHON_LIBRARY
+ "${_PYTHON_ROOT}/libs/Python${PYTHON_LIBRARY_SUFFIX}.lib")
+ endif()
+
+ # raise an error if the python libs are still not found.
+ if(NOT EXISTS "${PYTHON_LIBRARY}")
+ message(FATAL_ERROR "Python libraries not found")
+ endif()
+
+else()
+ if(PYTHON_MULTIARCH)
+ set(_PYTHON_LIBS_SEARCH "${PYTHON_LIBDIR}/${PYTHON_MULTIARCH}" "${PYTHON_LIBDIR}")
+ else()
+ set(_PYTHON_LIBS_SEARCH "${PYTHON_LIBDIR}")
+ endif()
+ #message(STATUS "Searching for Python libs in ${_PYTHON_LIBS_SEARCH}")
+ # Probably this needs to be more involved. It would be nice if the config
+ # information the python interpreter itself gave us were more complete.
+ find_library(PYTHON_LIBRARY
+ NAMES "python${PYTHON_LIBRARY_SUFFIX}"
+ PATHS ${_PYTHON_LIBS_SEARCH}
+ NO_DEFAULT_PATH)
+
+ # If all else fails, just set the name/version and let the linker figure out the path.
+ if(NOT PYTHON_LIBRARY)
+ set(PYTHON_LIBRARY python${PYTHON_LIBRARY_SUFFIX})
+ endif()
+endif()
+
+MARK_AS_ADVANCED(
+ PYTHON_LIBRARY
+ PYTHON_INCLUDE_DIR
+)
+
+# We use PYTHON_INCLUDE_DIR, PYTHON_LIBRARY and PYTHON_DEBUG_LIBRARY for the
+# cache entries because they are meant to specify the location of a single
+# library. We now set the variables listed by the documentation for this
+# module.
+SET(PYTHON_INCLUDE_DIRS "${PYTHON_INCLUDE_DIR}")
+SET(PYTHON_LIBRARIES "${PYTHON_LIBRARY}")
+SET(PYTHON_DEBUG_LIBRARIES "${PYTHON_DEBUG_LIBRARY}")
+
+find_package_message(PYTHON
+ "Found PythonLibs: ${PYTHON_LIBRARY}"
+ "${PYTHON_EXECUTABLE}${PYTHON_VERSION}")
+
+set(PYTHONLIBS_FOUND TRUE)
--- /dev/null
+#!/bin/bash
+#
+# Script to check include/test code for common pybind11 code style errors.
+#
+# This script currently checks for
+#
+# 1. use of tabs instead of spaces
+# 2. MSDOS-style CRLF endings
+# 3. trailing spaces
+# 4. missing space between keyword and parenthesis, e.g.: for(, if(, while(
+# 5. Missing space between right parenthesis and brace, e.g. 'for (...){'
+# 6. opening brace on its own line. It should always be on the same line as the
+# if/while/for/do statment.
+#
+# Invoke as: tools/check-style.sh
+#
+
+errors=0
+IFS=$'\n'
+found=
+# The mt=41 sets a red background for matched tabs:
+exec 3< <(GREP_COLORS='mt=41' grep $'\t' include/ tests/*.{cpp,py,h} docs/*.rst -rn --color=always)
+while read -u 3 f; do
+ if [ -z "$found" ]; then
+ echo -e '\e[31m\e[01mError: found tabs instead of spaces in the following files:\e[0m'
+ found=1
+ errors=1
+ fi
+
+ echo " $f"
+done
+
+found=
+# The mt=41 sets a red background for matched MS-DOS CRLF line endings
+exec 3< <(GREP_COLORS='mt=41' grep -IUlr $'\r' include/ tests/*.{cpp,py,h} docs/*.rst --color=always)
+while read -u 3 f; do
+ if [ -z "$found" ]; then
+ echo -e '\e[31m\e[01mError: found CRLF characters in the following files:\e[0m'
+ found=1
+ errors=1
+ fi
+
+ echo " $f"
+done
+
+found=
+# The mt=41 sets a red background for matched trailing spaces
+exec 3< <(GREP_COLORS='mt=41' grep '\s\+$' include/ tests/*.{cpp,py,h} docs/*.rst -rn --color=always)
+while read -u 3 f; do
+ if [ -z "$found" ]; then
+ echo -e '\e[31m\e[01mError: found trailing spaces in the following files:\e[0m'
+ found=1
+ errors=1
+ fi
+
+ echo " $f"
+done
+
+found=
+exec 3< <(grep '\<\(if\|for\|while\|catch\)(\|){' include/ tests/*.{cpp,py,h} -rn --color=always)
+while read -u 3 line; do
+ if [ -z "$found" ]; then
+ echo -e '\e[31m\e[01mError: found the following coding style problems:\e[0m'
+ found=1
+ errors=1
+ fi
+
+ echo " $line"
+done
+
+found=
+exec 3< <(GREP_COLORS='mt=41' grep '^\s*{\s*$' include/ docs/*.rst -rn --color=always)
+while read -u 3 f; do
+ if [ -z "$found" ]; then
+ echo -e '\e[31m\e[01mError: braces should occur on the same line as the if/while/.. statement. Found issues in the following files: \e[0m'
+ found=1
+ errors=1
+ fi
+
+ echo " $f"
+done
+
+exit $errors
--- /dev/null
+from __future__ import print_function, division
+import os
+import sys
+
+# Internal build script for generating debugging test .so size.
+# Usage:
+# python libsize.py file.so save.txt -- displays the size of file.so and, if save.txt exists, compares it to the
+# size in it, then overwrites save.txt with the new size for future runs.
+
+if len(sys.argv) != 3:
+ sys.exit("Invalid arguments: usage: python libsize.py file.so save.txt")
+
+lib = sys.argv[1]
+save = sys.argv[2]
+
+if not os.path.exists(lib):
+ sys.exit("Error: requested file ({}) does not exist".format(lib))
+
+libsize = os.path.getsize(lib)
+
+print("------", os.path.basename(lib), "file size:", libsize, end='')
+
+if os.path.exists(save):
+ with open(save) as sf:
+ oldsize = int(sf.readline())
+
+ if oldsize > 0:
+ change = libsize - oldsize
+ if change == 0:
+ print(" (no change)")
+ else:
+ print(" (change of {:+} bytes = {:+.2%})".format(change, change / oldsize))
+else:
+ print()
+
+with open(save, 'w') as sf:
+ sf.write(str(libsize))
+
--- /dev/null
+#!/usr/bin/env python3
+#
+# Syntax: mkdoc.py [-I<path> ..] [.. a list of header files ..]
+#
+# Extract documentation from C++ header files to use it in Python bindings
+#
+
+import os
+import sys
+import platform
+import re
+import textwrap
+
+from clang import cindex
+from clang.cindex import CursorKind
+from collections import OrderedDict
+from threading import Thread, Semaphore
+from multiprocessing import cpu_count
+
+RECURSE_LIST = [
+ CursorKind.TRANSLATION_UNIT,
+ CursorKind.NAMESPACE,
+ CursorKind.CLASS_DECL,
+ CursorKind.STRUCT_DECL,
+ CursorKind.ENUM_DECL,
+ CursorKind.CLASS_TEMPLATE
+]
+
+PRINT_LIST = [
+ CursorKind.CLASS_DECL,
+ CursorKind.STRUCT_DECL,
+ CursorKind.ENUM_DECL,
+ CursorKind.ENUM_CONSTANT_DECL,
+ CursorKind.CLASS_TEMPLATE,
+ CursorKind.FUNCTION_DECL,
+ CursorKind.FUNCTION_TEMPLATE,
+ CursorKind.CONVERSION_FUNCTION,
+ CursorKind.CXX_METHOD,
+ CursorKind.CONSTRUCTOR,
+ CursorKind.FIELD_DECL
+]
+
+CPP_OPERATORS = {
+ '<=': 'le', '>=': 'ge', '==': 'eq', '!=': 'ne', '[]': 'array',
+ '+=': 'iadd', '-=': 'isub', '*=': 'imul', '/=': 'idiv', '%=':
+ 'imod', '&=': 'iand', '|=': 'ior', '^=': 'ixor', '<<=': 'ilshift',
+ '>>=': 'irshift', '++': 'inc', '--': 'dec', '<<': 'lshift', '>>':
+ 'rshift', '&&': 'land', '||': 'lor', '!': 'lnot', '~': 'bnot',
+ '&': 'band', '|': 'bor', '+': 'add', '-': 'sub', '*': 'mul', '/':
+ 'div', '%': 'mod', '<': 'lt', '>': 'gt', '=': 'assign', '()': 'call'
+}
+
+CPP_OPERATORS = OrderedDict(
+ sorted(CPP_OPERATORS.items(), key=lambda t: -len(t[0])))
+
+job_count = cpu_count()
+job_semaphore = Semaphore(job_count)
+
+registered_names = dict()
+
+
+def d(s):
+ return s.decode('utf8')
+
+
+def sanitize_name(name):
+ global registered_names
+ name = re.sub(r'type-parameter-0-([0-9]+)', r'T\1', name)
+ for k, v in CPP_OPERATORS.items():
+ name = name.replace('operator%s' % k, 'operator_%s' % v)
+ name = re.sub('<.*>', '', name)
+ name = ''.join([ch if ch.isalnum() else '_' for ch in name])
+ name = re.sub('_$', '', re.sub('_+', '_', name))
+ if name in registered_names:
+ registered_names[name] += 1
+ name += '_' + str(registered_names[name])
+ else:
+ registered_names[name] = 1
+ return '__doc_' + name
+
+
+def process_comment(comment):
+ result = ''
+
+ # Remove C++ comment syntax
+ leading_spaces = float('inf')
+ for s in comment.expandtabs(tabsize=4).splitlines():
+ s = s.strip()
+ if s.startswith('/*'):
+ s = s[2:].lstrip('*')
+ elif s.endswith('*/'):
+ s = s[:-2].rstrip('*')
+ elif s.startswith('///'):
+ s = s[3:]
+ if s.startswith('*'):
+ s = s[1:]
+ if len(s) > 0:
+ leading_spaces = min(leading_spaces, len(s) - len(s.lstrip()))
+ result += s + '\n'
+
+ if leading_spaces != float('inf'):
+ result2 = ""
+ for s in result.splitlines():
+ result2 += s[leading_spaces:] + '\n'
+ result = result2
+
+ # Doxygen tags
+ cpp_group = '([\w:]+)'
+ param_group = '([\[\w:\]]+)'
+
+ s = result
+ s = re.sub(r'\\c\s+%s' % cpp_group, r'``\1``', s)
+ s = re.sub(r'\\a\s+%s' % cpp_group, r'*\1*', s)
+ s = re.sub(r'\\e\s+%s' % cpp_group, r'*\1*', s)
+ s = re.sub(r'\\em\s+%s' % cpp_group, r'*\1*', s)
+ s = re.sub(r'\\b\s+%s' % cpp_group, r'**\1**', s)
+ s = re.sub(r'\\ingroup\s+%s' % cpp_group, r'', s)
+ s = re.sub(r'\\param%s?\s+%s' % (param_group, cpp_group),
+ r'\n\n$Parameter ``\2``:\n\n', s)
+ s = re.sub(r'\\tparam%s?\s+%s' % (param_group, cpp_group),
+ r'\n\n$Template parameter ``\2``:\n\n', s)
+
+ for in_, out_ in {
+ 'return': 'Returns',
+ 'author': 'Author',
+ 'authors': 'Authors',
+ 'copyright': 'Copyright',
+ 'date': 'Date',
+ 'remark': 'Remark',
+ 'sa': 'See also',
+ 'see': 'See also',
+ 'extends': 'Extends',
+ 'throw': 'Throws',
+ 'throws': 'Throws'
+ }.items():
+ s = re.sub(r'\\%s\s*' % in_, r'\n\n$%s:\n\n' % out_, s)
+
+ s = re.sub(r'\\details\s*', r'\n\n', s)
+ s = re.sub(r'\\brief\s*', r'', s)
+ s = re.sub(r'\\short\s*', r'', s)
+ s = re.sub(r'\\ref\s*', r'', s)
+
+ s = re.sub(r'\\code\s?(.*?)\s?\\endcode',
+ r"```\n\1\n```\n", s, flags=re.DOTALL)
+
+ # HTML/TeX tags
+ s = re.sub(r'<tt>(.*?)</tt>', r'``\1``', s, flags=re.DOTALL)
+ s = re.sub(r'<pre>(.*?)</pre>', r"```\n\1\n```\n", s, flags=re.DOTALL)
+ s = re.sub(r'<em>(.*?)</em>', r'*\1*', s, flags=re.DOTALL)
+ s = re.sub(r'<b>(.*?)</b>', r'**\1**', s, flags=re.DOTALL)
+ s = re.sub(r'\\f\$(.*?)\\f\$', r'$\1$', s, flags=re.DOTALL)
+ s = re.sub(r'<li>', r'\n\n* ', s)
+ s = re.sub(r'</?ul>', r'', s)
+ s = re.sub(r'</li>', r'\n\n', s)
+
+ s = s.replace('``true``', '``True``')
+ s = s.replace('``false``', '``False``')
+
+ # Re-flow text
+ wrapper = textwrap.TextWrapper()
+ wrapper.expand_tabs = True
+ wrapper.replace_whitespace = True
+ wrapper.drop_whitespace = True
+ wrapper.width = 70
+ wrapper.initial_indent = wrapper.subsequent_indent = ''
+
+ result = ''
+ in_code_segment = False
+ for x in re.split(r'(```)', s):
+ if x == '```':
+ if not in_code_segment:
+ result += '```\n'
+ else:
+ result += '\n```\n\n'
+ in_code_segment = not in_code_segment
+ elif in_code_segment:
+ result += x.strip()
+ else:
+ for y in re.split(r'(?: *\n *){2,}', x):
+ wrapped = wrapper.fill(re.sub(r'\s+', ' ', y).strip())
+ if len(wrapped) > 0 and wrapped[0] == '$':
+ result += wrapped[1:] + '\n'
+ wrapper.initial_indent = \
+ wrapper.subsequent_indent = ' ' * 4
+ else:
+ if len(wrapped) > 0:
+ result += wrapped + '\n\n'
+ wrapper.initial_indent = wrapper.subsequent_indent = ''
+ return result.rstrip().lstrip('\n')
+
+
+def extract(filename, node, prefix, output):
+ num_extracted = 0
+ if not (node.location.file is None or
+ os.path.samefile(d(node.location.file.name), filename)):
+ return 0
+ if node.kind in RECURSE_LIST:
+ sub_prefix = prefix
+ if node.kind != CursorKind.TRANSLATION_UNIT:
+ if len(sub_prefix) > 0:
+ sub_prefix += '_'
+ sub_prefix += d(node.spelling)
+ for i in node.get_children():
+ num_extracted += extract(filename, i, sub_prefix, output)
+ if num_extracted == 0:
+ return 0
+ if node.kind in PRINT_LIST:
+ comment = d(node.raw_comment) if node.raw_comment is not None else ''
+ comment = process_comment(comment)
+ sub_prefix = prefix
+ if len(sub_prefix) > 0:
+ sub_prefix += '_'
+ if len(node.spelling) > 0:
+ name = sanitize_name(sub_prefix + d(node.spelling))
+ output.append('\nstatic const char *%s =%sR"doc(%s)doc";' %
+ (name, '\n' if '\n' in comment else ' ', comment))
+ num_extracted += 1
+ return num_extracted
+
+
+class ExtractionThread(Thread):
+ def __init__(self, filename, parameters, output):
+ Thread.__init__(self)
+ self.filename = filename
+ self.parameters = parameters
+ self.output = output
+ job_semaphore.acquire()
+
+ def run(self):
+ print('Processing "%s" ..' % self.filename, file=sys.stderr)
+ try:
+ index = cindex.Index(
+ cindex.conf.lib.clang_createIndex(False, True))
+ tu = index.parse(self.filename, self.parameters)
+ extract(self.filename, tu.cursor, '', self.output)
+ finally:
+ job_semaphore.release()
+
+if __name__ == '__main__':
+ parameters = ['-x', 'c++', '-std=c++11']
+ filenames = []
+
+ if platform.system() == 'Darwin':
+ dev_path = '/Applications/Xcode.app/Contents/Developer/'
+ lib_dir = dev_path + 'Toolchains/XcodeDefault.xctoolchain/usr/lib/'
+ sdk_dir = dev_path + 'Platforms/MacOSX.platform/Developer/SDKs'
+ libclang = lib_dir + 'libclang.dylib'
+
+ if os.path.exists(libclang):
+ cindex.Config.set_library_path(os.path.dirname(libclang))
+
+ if os.path.exists(sdk_dir):
+ sysroot_dir = os.path.join(sdk_dir, next(os.walk(sdk_dir))[1][0])
+ parameters.append('-isysroot')
+ parameters.append(sysroot_dir)
+
+ for item in sys.argv[1:]:
+ if item.startswith('-'):
+ parameters.append(item)
+ else:
+ filenames.append(item)
+
+ if len(filenames) == 0:
+ print('Syntax: %s [.. a list of header files ..]' % sys.argv[0])
+ exit(-1)
+
+ print('''/*
+ This file contains docstrings for the Python bindings.
+ Do not edit! These were automatically extracted by mkdoc.py
+ */
+
+#define __EXPAND(x) x
+#define __COUNT(_1, _2, _3, _4, _5, _6, _7, COUNT, ...) COUNT
+#define __VA_SIZE(...) __EXPAND(__COUNT(__VA_ARGS__, 7, 6, 5, 4, 3, 2, 1))
+#define __CAT1(a, b) a ## b
+#define __CAT2(a, b) __CAT1(a, b)
+#define __DOC1(n1) __doc_##n1
+#define __DOC2(n1, n2) __doc_##n1##_##n2
+#define __DOC3(n1, n2, n3) __doc_##n1##_##n2##_##n3
+#define __DOC4(n1, n2, n3, n4) __doc_##n1##_##n2##_##n3##_##n4
+#define __DOC5(n1, n2, n3, n4, n5) __doc_##n1##_##n2##_##n3##_##n4##_##n5
+#define __DOC6(n1, n2, n3, n4, n5, n6) __doc_##n1##_##n2##_##n3##_##n4##_##n5##_##n6
+#define __DOC7(n1, n2, n3, n4, n5, n6, n7) __doc_##n1##_##n2##_##n3##_##n4##_##n5##_##n6##_##n7
+#define DOC(...) __EXPAND(__EXPAND(__CAT2(__DOC, __VA_SIZE(__VA_ARGS__)))(__VA_ARGS__))
+
+#if defined(__GNUG__)
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wunused-variable"
+#endif
+''')
+
+ output = []
+ for filename in filenames:
+ thr = ExtractionThread(filename, parameters, output)
+ thr.start()
+
+ print('Waiting for jobs to finish ..', file=sys.stderr)
+ for i in range(job_count):
+ job_semaphore.acquire()
+
+ output.sort()
+ for l in output:
+ print(l)
+
+ print('''
+#if defined(__GNUG__)
+#pragma GCC diagnostic pop
+#endif
+''')
--- /dev/null
+# pybind11Config.cmake
+# --------------------
+#
+# PYBIND11 cmake module.
+# This module sets the following variables in your project::
+#
+# pybind11_FOUND - true if pybind11 and all required components found on the system
+# pybind11_VERSION - pybind11 version in format Major.Minor.Release
+# pybind11_INCLUDE_DIRS - Directories where pybind11 and python headers are located.
+# pybind11_INCLUDE_DIR - Directory where pybind11 headers are located.
+# pybind11_DEFINITIONS - Definitions necessary to use pybind11, namely USING_pybind11.
+# pybind11_LIBRARIES - compile flags and python libraries (as needed) to link against.
+# pybind11_LIBRARY - empty.
+# CMAKE_MODULE_PATH - appends location of accompanying FindPythonLibsNew.cmake and
+# pybind11Tools.cmake modules.
+#
+#
+# Available components: None
+#
+#
+# Exported targets::
+#
+# If pybind11 is found, this module defines the following :prop_tgt:`IMPORTED`
+# target. Python headers, libraries (as needed by platform), and C++ standard
+# are attached to the target. Set PythonLibsNew variables to influence
+# python detection and PYBIND11_CPP_STANDARD (-std=c++11 or -std=c++14) to
+# influence standard setting. ::
+#
+# pybind11::pybind11 - the main pybind11 interface library (i.e., headers)
+#
+# find_package(pybind11 CONFIG REQUIRED)
+# message(STATUS "Found pybind11: ${pybind11_INCLUDE_DIR} (found version ${pybind11_VERSION} & Py${PYTHON_VERSION_STRING})")
+# add_library(mylib MODULE main.cpp)
+# target_link_libraries(mylib pybind11::pybind11)
+#
+# Suggested usage::
+#
+# find_package with version info is not recommended except for release versions. ::
+#
+# find_package(pybind11 CONFIG)
+# find_package(pybind11 2.0 EXACT CONFIG REQUIRED)
+#
+#
+# The following variables can be set to guide the search for this package::
+#
+# pybind11_DIR - CMake variable, set to directory containing this Config file
+# CMAKE_PREFIX_PATH - CMake variable, set to root directory of this package
+# PATH - environment variable, set to bin directory of this package
+# CMAKE_DISABLE_FIND_PACKAGE_pybind11 - CMake variable, disables
+# find_package(pybind11) when not REQUIRED, perhaps to force internal build
+
+@PACKAGE_INIT@
+
+set(PN pybind11)
+
+# location of pybind11/pybind11.h
+set(${PN}_INCLUDE_DIR "${PACKAGE_PREFIX_DIR}/@CMAKE_INSTALL_INCLUDEDIR@")
+
+set(${PN}_LIBRARY "")
+set(${PN}_DEFINITIONS USING_${PN})
+
+check_required_components(${PN})
+
+# make detectable the FindPythonLibsNew.cmake module
+list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_LIST_DIR})
+
+include(pybind11Tools)
+
+if(NOT (CMAKE_VERSION VERSION_LESS 3.0))
+#-----------------------------------------------------------------------------
+# Don't include targets if this file is being picked up by another
+# project which has already built this as a subproject
+#-----------------------------------------------------------------------------
+if(NOT TARGET ${PN}::pybind11)
+ include("${CMAKE_CURRENT_LIST_DIR}/${PN}Targets.cmake")
+
+ find_package(PythonLibsNew ${PYBIND11_PYTHON_VERSION} MODULE REQUIRED)
+ set_property(TARGET ${PN}::pybind11 APPEND PROPERTY INTERFACE_INCLUDE_DIRECTORIES ${PYTHON_INCLUDE_DIRS})
+ if(WIN32 OR CYGWIN)
+ set_property(TARGET ${PN}::pybind11 APPEND PROPERTY INTERFACE_LINK_LIBRARIES ${PYTHON_LIBRARIES})
+ endif()
+
+ select_cxx_standard()
+ set_property(TARGET ${PN}::pybind11 APPEND PROPERTY INTERFACE_COMPILE_OPTIONS "${PYBIND11_CPP_STANDARD}")
+
+ get_property(_iid TARGET ${PN}::pybind11 PROPERTY INTERFACE_INCLUDE_DIRECTORIES)
+ get_property(_ill TARGET ${PN}::pybind11 PROPERTY INTERFACE_LINK_LIBRARIES)
+ get_property(_ico TARGET ${PN}::pybind11 PROPERTY INTERFACE_COMPILE_OPTIONS)
+ set(${PN}_INCLUDE_DIRS ${_iid})
+ set(${PN}_LIBRARIES ${_ico} ${_ill})
+endif()
+endif()
--- /dev/null
+# tools/pybind11Tools.cmake -- 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)
+
+# Add a CMake parameter for choosing a desired Python version
+set(PYBIND11_PYTHON_VERSION "" CACHE STRING "Python version to use for compiling modules")
+
+set(Python_ADDITIONAL_VERSIONS 3.7 3.6 3.5 3.4)
+find_package(PythonLibsNew ${PYBIND11_PYTHON_VERSION} REQUIRED)
+
+include(CheckCXXCompilerFlag)
+
+function(select_cxx_standard)
+ if(NOT MSVC AND NOT PYBIND11_CPP_STANDARD)
+ check_cxx_compiler_flag("-std=c++14" HAS_CPP14_FLAG)
+ check_cxx_compiler_flag("-std=c++11" HAS_CPP11_FLAG)
+
+ if (HAS_CPP14_FLAG)
+ set(PYBIND11_CPP_STANDARD -std=c++14)
+ elseif (HAS_CPP11_FLAG)
+ set(PYBIND11_CPP_STANDARD -std=c++11)
+ else()
+ message(FATAL_ERROR "Unsupported compiler -- pybind11 requires C++11 support!")
+ endif()
+
+ set(PYBIND11_CPP_STANDARD ${PYBIND11_CPP_STANDARD} CACHE STRING
+ "C++ standard flag, e.g. -std=c++11 or -std=c++14. Defaults to latest available." FORCE)
+ endif()
+endfunction()
+
+# Build a Python extension module:
+# pybind11_add_module(<name> [MODULE | SHARED] [EXCLUDE_FROM_ALL] source1 [source2 ...])
+#
+function(pybind11_add_module target_name)
+ set(lib_type "MODULE")
+ set(do_lto True)
+ set(exclude_from_all "")
+ set(sources "")
+
+ set(_args_to_try "${ARGN}")
+ foreach(_ex_arg IN LISTS _args_to_try)
+ if(${_ex_arg} STREQUAL "MODULE")
+ set(lib_type "MODULE")
+ elseif(${_ex_arg} STREQUAL "SHARED")
+ set(lib_type "SHARED")
+ elseif(${_ex_arg} STREQUAL "EXCLUDE_FROM_ALL")
+ set(exclude_from_all "EXCLUDE_FROM_ALL")
+ else()
+ list(APPEND sources "${_ex_arg}")
+ endif()
+ endforeach()
+
+ add_library(${target_name} ${lib_type} ${exclude_from_all} ${sources})
+
+ target_include_directories(${target_name}
+ PRIVATE ${PYBIND11_INCLUDE_DIR} # from project CMakeLists.txt
+ PRIVATE ${pybind11_INCLUDE_DIR} # from pybind11Config
+ PRIVATE ${PYTHON_INCLUDE_DIRS})
+
+ # The prefix and extension are provided by FindPythonLibsNew.cmake
+ set_target_properties(${target_name} PROPERTIES PREFIX "${PYTHON_MODULE_PREFIX}")
+ set_target_properties(${target_name} PROPERTIES SUFFIX "${PYTHON_MODULE_EXTENSION}")
+
+ if(WIN32 OR CYGWIN)
+ # Link against the Python shared library on Windows
+ target_link_libraries(${target_name} PRIVATE ${PYTHON_LIBRARIES})
+ elseif(APPLE)
+ # It's quite common to have multiple copies of the same Python version
+ # installed on one's system. E.g.: one copy from the OS and another copy
+ # that's statically linked into an application like Blender or Maya.
+ # If we link our plugin library against the OS Python here and import it
+ # into Blender or Maya later on, this will cause segfaults when multiple
+ # conflicting Python instances are active at the same time (even when they
+ # are of the same version).
+
+ # Windows is not affected by this issue since it handles DLL imports
+ # differently. The solution for Linux and Mac OS is simple: we just don't
+ # link against the Python library. The resulting shared library will have
+ # missing symbols, but that's perfectly fine -- they will be resolved at
+ # import time.
+
+ target_link_libraries(${target_name} PRIVATE "-undefined dynamic_lookup")
+ endif()
+
+ select_cxx_standard()
+ if(NOT MSVC)
+ # Make sure C++11/14 are enabled
+ target_compile_options(${target_name} PUBLIC ${PYBIND11_CPP_STANDARD})
+
+ # Enable link time optimization and set the default symbol
+ # visibility to hidden (very important to obtain small binaries)
+ string(TOUPPER "${CMAKE_BUILD_TYPE}" U_CMAKE_BUILD_TYPE)
+ if (NOT ${U_CMAKE_BUILD_TYPE} MATCHES DEBUG)
+ # Check for Link Time Optimization support (GCC/Clang)
+ check_cxx_compiler_flag("-flto" HAS_LTO_FLAG)
+ if(HAS_LTO_FLAG AND NOT CYGWIN)
+ target_compile_options(${target_name} PRIVATE -flto)
+ endif()
+
+ # Intel equivalent to LTO is called IPO
+ if(CMAKE_CXX_COMPILER_ID MATCHES "Intel")
+ check_cxx_compiler_flag("-ipo" HAS_IPO_FLAG)
+ if(HAS_IPO_FLAG)
+ target_compile_options(${target_name} PRIVATE -ipo)
+ endif()
+ endif()
+
+ # Default symbol visibility
+ target_compile_options(${target_name} PRIVATE "-fvisibility=hidden")
+
+ # Strip unnecessary sections of the binary on Linux/Mac OS
+ if(CMAKE_STRIP)
+ if(APPLE)
+ add_custom_command(TARGET ${target_name} POST_BUILD
+ COMMAND ${CMAKE_STRIP} -u -r $<TARGET_FILE:${target_name}>)
+ else()
+ add_custom_command(TARGET ${target_name} POST_BUILD
+ COMMAND ${CMAKE_STRIP} $<TARGET_FILE:${target_name}>)
+ endif()
+ endif()
+ endif()
+ elseif(MSVC)
+ # /MP enables multithreaded builds (relevant when there are many files), /bigobj is
+ # needed for bigger binding projects due to the limit to 64k addressable sections
+ target_compile_options(${target_name} PRIVATE /MP /bigobj)
+
+ # Enforce link time code generation on MSVC, except in debug mode
+ target_compile_options(${target_name} PRIVATE $<$<NOT:$<CONFIG:Debug>>:/GL>)
+
+ # Fancy generator expressions don't work with linker flags, for reasons unknown
+ set_property(TARGET ${target_name} APPEND_STRING PROPERTY LINK_FLAGS_RELEASE /LTCG)
+ set_property(TARGET ${target_name} APPEND_STRING PROPERTY LINK_FLAGS_MINSIZEREL /LTCG)
+ set_property(TARGET ${target_name} APPEND_STRING PROPERTY LINK_FLAGS_RELWITHDEBINFO /LTCG)
+ endif()
+endfunction()
projects / gem5.git / commitdiff
