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Commit 077a3b60 authored by Mischan Toosarani-Hausberger's avatar Mischan Toosarani-Hausberger Committed by Davis E. King
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Replace boost::python with pybind11 (#1040) 

* Replace boost::python with pybind11

* Replace add_python_module with pybind11_add_module

* Fix clang error on type-dependent expression
parent c68bb4e7
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Showing with 6325 additions and 221 deletions
dlib/cmake_utils/add_python_module deleted 100644 → 0
View file @ c68bb4e7
# This is a CMake file that sets up the add_python_module() macro. This macro
# lets you easily make python modules that use dlib.
#
# The macro takes the module name as its first argument and then a list of
# source files to compile into the module. See ../tools/python/CMakeLists.txt
# for an example.
#
# It also sets up a macro called install_${module_name}_to() where
# ${module_name} is whatever you named your module. This install_*_to() macro
# takes a folder name and creates an install target that will copy the compiled
# python module to that folder when you run "make install". Note that the path
# given to install_*_to() is relative to your CMakeLists.txt file.
#
option(PYTHON3 "Build a Python3 compatible library rather than Python2." OFF)
# Avoid cmake warnings about changes in behavior of some Mac OS X path
# variable we don't care about.
if (POLICY CMP0042)
cmake_policy(SET CMP0042 NEW)
endif()
# Sometimes a computer will have multiple python verions installed. So in this
# block of code we find the one in the user's path and add its home folder into
# cmake's search path. That way it will use that version of python first.
if (PYTHON3)
find_program(PYTHON_EXECUTABLE python3)
endif()
if (NOT PYTHON_EXECUTABLE)
find_program(PYTHON_EXECUTABLE python)
endif()
# Resolve symbolic links, hopefully this will give us a path in the proper
# python home directory.
get_filename_component(PYTHON_EXECUTABLE ${PYTHON_EXECUTABLE} REALPATH)
# Pick out the parent directories
get_filename_component(PYTHON_PATH ${PYTHON_EXECUTABLE} PATH)
get_filename_component(PYTHON_PATH ${PYTHON_PATH} PATH)
list(APPEND CMAKE_PREFIX_PATH "${PYTHON_PATH}")
# To avoid dll hell, always link everything statically when compiling in
# visual studio. This way, the resulting library won't depend on a bunch
# of other dll files and can be safely copied to someone elese's computer
# and expected to run.
if (MSVC)
include(${CMAKE_CURRENT_LIST_DIR}/tell_visual_studio_to_use_static_runtime.cmake)
add_definitions(-DBOOST_PYTHON_STATIC_LIB)
SET(Boost_USE_STATIC_LIBS ON)
SET(Boost_USE_MULTITHREADED ON)
SET(Boost_USE_STATIC_RUNTIME ON)
endif()
set(Boost_NO_BOOST_CMAKE ON)
if (NOT WIN32)
set(BOOST_LIBRARYDIR ${BOOST_LIBRARYDIR} $ENV{BOOST_LIBRARYDIR}
/usr/lib/x86_64-linux-gnu/)
else()
link_directories($ENV{BOOST_LIBRARYDIR})
endif()
if (PYTHON3)
# On some systems the boost python3 module is called python-py34 so check
# for that one first.
FIND_PACKAGE(Boost 1.41.0 COMPONENTS python-py34 )
if (NOT Boost_FOUND)
FIND_PACKAGE(Boost 1.41.0 COMPONENTS python-py35)
endif()
if (NOT Boost_FOUND)
FIND_PACKAGE(Boost 1.41.0 COMPONENTS python3)
endif()
if (NOT Boost_FOUND)
FIND_PACKAGE(Boost 1.41.0 COMPONENTS python)
endif()
set(Python_ADDITIONAL_VERSIONS 3.5 3.6)
FIND_PACKAGE(PythonLibs 3.4)
else()
FIND_PACKAGE(Boost 1.41.0 COMPONENTS python)
FIND_PACKAGE(PythonLibs 2.6)
endif()
if (CMAKE_COMPILER_IS_GNUCXX)
# Just setting CMAKE_POSITION_INDEPENDENT_CODE should be enough to set
# -fPIC for GCC but sometimes it still doesn't get set, so make sure it
# does.
add_definitions("-fPIC")
set(CMAKE_POSITION_INDEPENDENT_CODE True)
else()
set(CMAKE_POSITION_INDEPENDENT_CODE True)
endif()
# include dlib so we can link against it
add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/.. dlib_build)
if (USING_OLD_VISUAL_STUDIO_COMPILER)
message(FATAL_ERROR "You have to use a version of Visual Studio that supports C++11. As of December 2017, the only versions that have good enough C++11 support to compile the dlib Pyhton API is a fully updated Visual Studio 2015 or a fully updated Visual Studio 2017. Older versions of either of these compilers have bad C++11 support and will fail to compile the Python extension. ***SO UPDATE YOUR VISUAL STUDIO TO MAKE THIS ERROR GO AWAY***")
endif()
if (NOT Boost_FOUND)
message(STATUS " *****************************************************************************************************")
if (WIN32)
if (NOT DEFINED ENV{BOOST_ROOT} OR NOT DEFINED ENV{BOOST_LIBRARYDIR})
message(STATUS "The BOOST_ROOT and/or BOOST_LIBRARYDIR environment variables are not set. You need to set these ")
message(STATUS "variables so we know where boost is installed. So set these variables to something like this:")
message(STATUS " BOOST_ROOT=C:\\local\\boost_1_57_0 " )
message(STATUS " BOOST_LIBRARYDIR=C:\\local\\boost_1_57_0\\stage\\lib")
message(STATUS "The best way to set enviornment variables in Windows is to go to the start menu's search box,")
message(STATUS "type environment, and open the Environment Variables dialog. That lets you add more variables.")
message(STATUS "Add these variables to either user or system variables, it doesn't matter.")
message(STATUS "You might have to log out and log back in before the environment changes take effect.")
else()
message(STATUS "We couldn't find the right version of boost python. If you installed boost and you are still "
"getting this error then you might have installed a version of boost that was compiled with a different "
"version of visual studio than the one you are using. So you have to make sure that the version of "
"visual studio is the same version that was used to compile the copy of boost you are using.")
message(STATUS "")
message(STATUS " You will likely need to compile boost yourself rather than using one of the precompiled ")
message(STATUS " windows binaries. Do this by going to the folder tools\\build\\ within boost and running ")
message(STATUS " bootstrap.bat. Then run the command: ")
message(STATUS " b2 install")
message(STATUS " And then add the output bin folder to your PATH. Usually this is the C:\\boost-build-engine\\bin")
message(STATUS " folder. Finally, go to the boost root and run a command like this:")
message(STATUS " b2 -a --with-python address-model=64 toolset=msvc runtime-link=static")
message(STATUS " Note that you will need to set the address-model based on if you want a 32 or 64bit python library.")
message(STATUS " When it completes, set the BOOST_LIBRARYDIR environment variable equal to wherever b2 put the ")
message(STATUS " compiled libraries. You will also need to set BOOST_ROOT to the root folder of the boost install.")
message(STATUS " E.g. Something like this: ")
message(STATUS " set BOOST_ROOT=C:\\local\\boost_1_57_0 " )
message(STATUS " set BOOST_LIBRARYDIR=C:\\local\\boost_1_57_0\\stage\\lib")
message(STATUS "")
message(STATUS " Next, if you aren't using python setup.py then you will be invoking cmake to compile dlib. ")
message(STATUS " In this case you may have to use cmake's -G option to set the 64 vs. 32bit mode of visual studio. ")
message(STATUS " Also, if you want a Python3 library you will need to add -DPYTHON3=1. You do this with a statement like: ")
message(STATUS " cmake -G \"Visual Studio 14 2015 Win64\" -DPYTHON3=1 ..\\..\\tools\\python")
message(STATUS " Rather than:")
message(STATUS " cmake ..\\..\\tools\\python")
message(STATUS " Which will build a 32bit Python2 module by default on most systems.")
message(STATUS "")
endif()
else()
message(STATUS " To compile Boost.Python yourself download boost from boost.org and then go into the boost root folder")
message(STATUS " and run these commands: ")
message(STATUS " ./bootstrap.sh --with-libraries=python")
message(STATUS " ./b2")
message(STATUS " sudo ./b2 install")
endif()
message(STATUS " *****************************************************************************************************")
message(FATAL_ERROR " Boost python library not found. ")
endif()
message(STATUS "USING BOOST_LIBS: ${Boost_LIBRARIES}")
if (WIN32)
message(STATUS "USING PYTHON_LIBS: ${PYTHON_LIBRARIES}")
endif()
# We put the extra _ on the end of the name just so it's possible to
# have a module name of dlib and not get a conflict with the target named
# dlib in ../dlib/cmake. We use the target OUPUT_NAME property to ensure the
# output name is set to what the user asked for (i.e. no _).
macro(add_python_module module_name module_sources )
ADD_LIBRARY(${module_name}_ SHARED ${module_sources} ${ARGN} )
TARGET_LINK_LIBRARIES(${module_name}_ ${Boost_LIBRARIES} dlib::dlib)
target_include_directories(${module_name}_ SYSTEM PUBLIC "${Boost_INCLUDE_DIRS}")
if (PYTHON_INCLUDE_PATH)
target_include_directories(${module_name}_ SYSTEM PUBLIC "${PYTHON_INCLUDE_PATH}" )
else()
target_include_directories(${module_name}_ SYSTEM PUBLIC "${PYTHON_INCLUDE_DIRS}" )
endif()
if(WIN32 AND NOT CYGWIN)
TARGET_LINK_LIBRARIES(${module_name}_ ${PYTHON_LIBRARIES})
SET_TARGET_PROPERTIES( ${module_name}_
PROPERTIES
PREFIX ""
SUFFIX ".pyd"
OUTPUT_NAME ${module_name}
)
elseif(CYGWIN)
SET_TARGET_PROPERTIES( ${module_name}_
PROPERTIES
PREFIX ""
SUFFIX ".dll"
OUTPUT_NAME ${module_name}
)
elseif(APPLE)
SET_TARGET_PROPERTIES( ${module_name}_
PROPERTIES
LINK_FLAGS "-undefined dynamic_lookup"
PREFIX ""
SUFFIX ".so"
OUTPUT_NAME ${module_name}
)
else()
SET_TARGET_PROPERTIES( ${module_name}_
PROPERTIES
LINK_FLAGS "-shared"
PREFIX ""
SUFFIX ".so"
OUTPUT_NAME ${module_name}
)
endif()
macro(install_${module_name}_to path)
# Determine the path to our CMakeLists.txt file.
string(REGEX REPLACE "CMakeLists.txt$" "" base_path ${CMAKE_CURRENT_LIST_FILE})
INSTALL(TARGETS ${module_name}_
RUNTIME DESTINATION "${base_path}/${path}"
LIBRARY DESTINATION "${base_path}/${path}"
)
endmacro()
endmacro()
dlib/external/pybind11/CMakeLists.txt 0 → 100644
View file @ 077a3b60
# 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)
if (POLICY CMP0048)
# cmake warns if loaded from a min-3.0-required parent dir, so silence the warning:
cmake_policy(SET CMP0048 NEW)
endif()
# CMake versions < 3.4.0 do not support try_compile/pthread checks without C as active language.
if(CMAKE_VERSION VERSION_LESS 3.4.0)
project(pybind11)
else()
project(pybind11 CXX)
endif()
# 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?" ${PYBIND11_MASTER_PROJECT})
list(APPEND CMAKE_MODULE_PATH "${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 ${PYTHON_MODULE_EXTENSION} CACHE INTERNAL "")
# NB: when adding a header don't forget to also add it to setup.py
set(PYBIND11_HEADERS
include/pybind11/detail/class.h
include/pybind11/detail/common.h
include/pybind11/detail/descr.h
include/pybind11/detail/init.h
include/pybind11/detail/internals.h
include/pybind11/detail/typeid.h
include/pybind11/attr.h
include/pybind11/buffer_info.h
include/pybind11/cast.h
include/pybind11/chrono.h
include/pybind11/common.h
include/pybind11/complex.h
include/pybind11/options.h
include/pybind11/eigen.h
include/pybind11/embed.h
include/pybind11/eval.h
include/pybind11/functional.h
include/pybind11/numpy.h
include/pybind11/operators.h
include/pybind11/pybind11.h
include/pybind11/pytypes.h
include/pybind11/stl.h
include/pybind11/stl_bind.h
)
string(REPLACE "include/" "${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/detail/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}.${PYBIND11_VERSION_PATCH})
message(STATUS "pybind11 v${${PROJECT_NAME}_VERSION}")
option (USE_PYTHON_INCLUDE_DIR "Install pybind11 headers in Python include directory instead of default installation prefix" OFF)
if (USE_PYTHON_INCLUDE_DIR)
file(RELATIVE_PATH CMAKE_INSTALL_INCLUDEDIR ${CMAKE_INSTALL_PREFIX} ${PYTHON_INCLUDE_DIRS})
endif()
if(NOT (CMAKE_VERSION VERSION_LESS 3.0)) # CMake >= 3.0
# Build an interface library target:
add_library(pybind11 INTERFACE)
add_library(pybind11::pybind11 ALIAS pybind11) # to match exported target
target_include_directories(pybind11 INTERFACE $<BUILD_INTERFACE:${PYBIND11_INCLUDE_DIR}>
$<BUILD_INTERFACE:${PYTHON_INCLUDE_DIRS}>
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>)
target_compile_options(pybind11 INTERFACE $<BUILD_INTERFACE:${PYBIND11_CPP_STANDARD}>)
add_library(module INTERFACE)
add_library(pybind11::module ALIAS module)
if(NOT MSVC)
target_compile_options(module INTERFACE -fvisibility=hidden)
endif()
target_link_libraries(module INTERFACE pybind11::pybind11)
if(WIN32 OR CYGWIN)
target_link_libraries(module INTERFACE $<BUILD_INTERFACE:${PYTHON_LIBRARIES}>)
elseif(APPLE)
target_link_libraries(module INTERFACE "-undefined dynamic_lookup")
endif()
add_library(embed INTERFACE)
add_library(pybind11::embed ALIAS embed)
target_link_libraries(embed INTERFACE pybind11::pybind11 $<BUILD_INTERFACE:${PYTHON_LIBRARIES}>)
endif()
if (PYBIND11_INSTALL)
install(DIRECTORY ${PYBIND11_INCLUDE_DIR}/pybind11 DESTINATION ${CMAKE_INSTALL_INCLUDEDIR})
# GNUInstallDirs "DATADIR" wrong here; CMake search path wants "share".
set(PYBIND11_CMAKECONFIG_INSTALL_DIR "share/cmake/${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})
# Remove CMAKE_SIZEOF_VOID_P from ConfigVersion.cmake since the library does
# not depend on architecture specific settings or libraries.
set(_PYBIND11_CMAKE_SIZEOF_VOID_P ${CMAKE_SIZEOF_VOID_P})
unset(CMAKE_SIZEOF_VOID_P)
write_basic_package_version_file(${CMAKE_CURRENT_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
VERSION ${${PROJECT_NAME}_VERSION}
COMPATIBILITY AnyNewerVersion)
set(CMAKE_SIZEOF_VOID_P ${_PYBIND11_CMAKE_SIZEOF_VOID_P})
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 ${PYBIND11_CMAKECONFIG_INSTALL_DIR})
if(NOT (CMAKE_VERSION VERSION_LESS 3.0))
if(NOT PYBIND11_EXPORT_NAME)
set(PYBIND11_EXPORT_NAME "${PROJECT_NAME}Targets")
endif()
install(TARGETS pybind11 module embed
EXPORT "${PYBIND11_EXPORT_NAME}")
if(PYBIND11_MASTER_PROJECT)
install(EXPORT "${PYBIND11_EXPORT_NAME}"
NAMESPACE "${PROJECT_NAME}::"
DESTINATION ${PYBIND11_CMAKECONFIG_INSTALL_DIR})
endif()
endif()
endif()
dlib/external/pybind11/CONTRIBUTING.md 0 → 100644
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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.
### Licensing of contributions
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.
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.
dlib/external/pybind11/LICENSE 0 → 100644
View file @ 077a3b60
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.
Please also refer to the file CONTRIBUTING.md, which clarifies licensing of
external contributions to this project including patches, pull requests, etc.
dlib/external/pybind11/README.md 0 → 100644
View file @ 077a3b60
![pybind11 logo](https://github.com/pybind/pybind11/raw/master/docs/pybind11-logo.png)
# pybind11 — Seamless operability between C++11 and Python
[![Documentation Status](https://readthedocs.org/projects/pybind11/badge/?version=master)](http://pybind11.readthedocs.org/en/master/?badge=master)
[![Documentation Status](https://readthedocs.org/projects/pybind11/badge/?version=stable)](http://pybind11.readthedocs.org/en/stable/?badge=stable)
[![Gitter chat](https://img.shields.io/gitter/room/gitterHQ/gitter.svg)](https://gitter.im/pybind/Lobby)
[![Build Status](https://travis-ci.org/pybind/pybind11.svg?branch=master)](https://travis-ci.org/pybind/pybind11)
[![Build status](https://ci.appveyor.com/api/projects/status/riaj54pn4h08xy40?svg=true)](https://ci.appveyor.com/project/wjakob/pybind11)
**pybind11** is a lightweight header-only library that exposes C++ types in Python
and vice versa, mainly to create Python bindings of existing C++ code. Its
goals and syntax are similar to the excellent
[Boost.Python](http://www.boost.org/doc/libs/1_58_0/libs/python/doc/) library
by David Abrahams: to minimize boilerplate code in traditional extension
modules by inferring type information using compile-time introspection.
The main issue with Boost.Python—and the reason for creating such a similar
project—is Boost. Boost is an enormously large and complex suite of utility
libraries that works with almost every C++ compiler in existence. This
compatibility has its cost: arcane template tricks and workarounds are
necessary to support the oldest and buggiest of compiler specimens. Now that
C++11-compatible compilers are widely available, this heavy machinery has
become an excessively large and unnecessary dependency.
Think of this library as a tiny self-contained version of Boost.Python with
everything stripped away that isn't relevant for binding generation. Without
comments, the core header files only require ~4K lines of code and depend on
Python (2.7 or 3.x, or PyPy2.7 >= 5.7) and the C++ standard library. This
compact implementation was possible thanks to some of the new C++11 language
features (specifically: tuples, lambda functions and variadic templates). Since
its creation, this library has grown beyond Boost.Python in many ways, leading
to dramatically simpler binding code in many common situations.
Tutorial and reference documentation is provided at
[http://pybind11.readthedocs.org/en/master](http://pybind11.readthedocs.org/en/master).
A PDF version of the manual is available
[here](https://media.readthedocs.org/pdf/pybind11/master/pybind11.pdf).
## Core features
pybind11 can map the following core C++ features to Python
- Functions accepting and returning custom data structures per value, reference, or pointer
- Instance methods and static methods
- Overloaded functions
- Instance attributes and static attributes
- Arbitrary exception types
- Enumerations
- Callbacks
- Iterators and ranges
- Custom operators
- Single and multiple inheritance
- STL data structures
- 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:
- Python 2.7, 3.x, and PyPy (PyPy2.7 >= 5.7) are supported with an
implementation-agnostic interface.
- It is possible to bind C++11 lambda functions with captured variables. The
lambda capture data is stored inside the resulting Python function object.
- pybind11 uses C++11 move constructors and move assignment operators whenever
possible to efficiently transfer custom data types.
- It's easy to expose the internal storage of custom data types through
Pythons' buffer protocols. This is handy e.g. for fast conversion between
C++ matrix classes like Eigen and NumPy without expensive copy operations.
- pybind11 can automatically vectorize functions so that they are transparently
applied to all entries of one or more NumPy array arguments.
- Python's slice-based access and assignment operations can be supported with
just a few lines of code.
- Everything is contained in just a few header files; there is no need to link
against any additional libraries.
- Binaries are generally smaller by a factor of at least 2 compared to
equivalent bindings generated by Boost.Python. A recent pybind11 conversion
of PyRosetta, an enormous Boost.Python binding project,
[reported](http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf) a binary
size reduction of **5.4x** and compile time reduction by **5.8x**.
- Function signatures are precomputed at compile time (using ``constexpr``),
leading to smaller binaries.
- With little extra effort, C++ types can be pickled and unpickled similar to
regular Python objects.
## Supported compilers
1. Clang/LLVM 3.3 or newer (for Apple Xcode's clang, this is 5.0.0 or newer)
2. GCC 4.8 or newer
3. Microsoft Visual Studio 2015 Update 3 or newer
4. Intel C++ compiler 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](http://rgl.epfl.ch/people/wjakob).
Significant features and/or improvements to the code were contributed by
Jonas Adler,
Sylvain Corlay,
Trent Houliston,
Axel Huebl,
@hulucc,
Sergey Lyskov
Johan Mabille,
Tomasz Miąsko,
Dean Moldovan,
Ben Pritchard,
Jason Rhinelander,
Boris Schäling,
Pim Schellart,
Ivan Smirnov, and
Patrick Stewart.
### License
pybind11 is provided under a BSD-style license that can be found in the
``LICENSE`` file. By using, distributing, or contributing to this project,
you agree to the terms and conditions of this license.
dlib/external/pybind11/include/pybind11/attr.h 0 → 100644
View file @ 077a3b60
/*
pybind11/attr.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_NAMESPACE)
/// \addtogroup annotations
/// @{
/// 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 <size_t Nurse, size_t 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 which enables the buffer protocol for a type
struct buffer_protocol { };
/// Annotation which requests that a special metaclass is created for a type
struct metaclass {
handle value;
PYBIND11_DEPRECATED("py::metaclass() is no longer required. It's turned on by default now.")
metaclass() {}
/// Override pybind11's default metaclass
explicit metaclass(handle value) : value(value) { }
};
/// Annotation that marks a class as local to the module:
struct module_local { const bool value; constexpr module_local(bool v = true) : value(v) { } };
/// Annotation to mark enums as an arithmetic type
struct arithmetic { };
/** \rst
A call policy which places one or more guard variables (``Ts...``) around the function call.
For example, this definition:
.. code-block:: cpp
m.def("foo", foo, py::call_guard<T>());
is equivalent to the following pseudocode:
.. code-block:: cpp
m.def("foo", [](args...) {
T scope_guard;
return foo(args...); // forwarded arguments
});
\endrst */
template <typename... Ts> struct call_guard;
template <> struct call_guard<> { using type = detail::void_type; };
template <typename T>
struct call_guard<T> {
static_assert(std::is_default_constructible<T>::value,
"The guard type must be default constructible");
using type = T;
};
template <typename T, typename... Ts>
struct call_guard<T, Ts...> {
struct type {
T guard{}; // Compose multiple guard types with left-to-right default-constructor order
typename call_guard<Ts...>::type next{};
};
};
/// @} annotations
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_;
inline void keep_alive_impl(size_t Nurse, size_t Patient, function_call &call, 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
bool convert : 1; ///< True if the argument is allowed to convert when loading
bool none : 1; ///< True if None is allowed when loading
argument_record(const char *name, const char *descr, handle value, bool convert, bool none)
: name(name), descr(descr), value(value), convert(convert), none(none) { }
};
/// Internal data structure which holds metadata about a bound function (signature, overloads, etc.)
struct function_record {
function_record()
: is_constructor(false), is_new_style_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_call &) = 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 new-style `__init__` defined in `detail/init.h`
bool is_new_style_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 (including py::args and/or py::kwargs, if present)
std::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()
: multiple_inheritance(false), dynamic_attr(false), buffer_protocol(false), module_local(false) { }
/// 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 the type's holder?
size_t holder_size = 0;
/// The global operator new can be overridden with a class-specific variant
void *(*operator_new)(size_t) = ::operator new;
/// Function pointer to class_<..>::init_instance
void (*init_instance)(instance *, const void *) = nullptr;
/// Function pointer to class_<..>::dealloc
void (*dealloc)(detail::value_and_holder &) = nullptr;
/// List of base classes of the newly created type
list bases;
/// Optional docstring
const char *doc = nullptr;
/// Custom metaclass (optional)
handle metaclass;
/// Multiple inheritance marker
bool multiple_inheritance : 1;
/// Does the class manage a __dict__?
bool dynamic_attr : 1;
/// Does the class implement the buffer protocol?
bool buffer_protocol : 1;
/// Is the default (unique_ptr) holder type used?
bool default_holder : 1;
/// Is the class definition local to the module shared object?
bool module_local : 1;
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 + "\"");
}
if (default_holder != base_info->default_holder) {
std::string tname(base.name());
detail::clean_type_id(tname);
pybind11_fail("generic_type: type \"" + std::string(name) + "\" " +
(default_holder ? "does not have" : "has") +
" a non-default holder type while its base \"" + tname + "\" " +
(base_info->default_holder ? "does not" : "does"));
}
bases.append((PyObject *) base_info->type);
if (base_info->type->tp_dictoffset != 0)
dynamic_attr = true;
if (caster)
base_info->implicit_casts.emplace_back(type, caster);
}
};
inline function_call::function_call(function_record &f, handle p) :
func(f), parent(p) {
args.reserve(f.nargs);
args_convert.reserve(f.nargs);
}
/// Tag for a new-style `__init__` defined in `detail/init.h`
struct is_new_style_constructor { };
/**
* 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(function_call &) { }
static void postcall(function_call &, 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; }
};
template <> struct process_attribute<is_new_style_constructor> : process_attribute_default<is_new_style_constructor> {
static void init(const is_new_style_constructor &, function_record *r) { r->is_new_style_constructor = 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(), true /*convert*/, false /*none not allowed*/);
r->args.emplace_back(a.name, nullptr, handle(), !a.flag_noconvert, a.flag_none);
}
};
/// 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 /*descr*/, handle() /*parent*/, true /*convert*/, false /*none not allowed*/);
if (!a.value) {
#if !defined(NDEBUG)
std::string descr("'");
if (a.name) descr += std::string(a.name) + ": ";
descr += 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 '" + (std::string) r->name + "'";
}
pybind11_fail("arg(): could not convert default argument "
+ descr + " into a Python object (type not registered yet?)");
#else
pybind11_fail("arg(): could not convert default 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(), !a.flag_noconvert, a.flag_none);
}
};
/// Process a parent class attribute. Single inheritance only (class_ itself already guarantees that)
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; }
};
template <>
struct process_attribute<buffer_protocol> : process_attribute_default<buffer_protocol> {
static void init(const buffer_protocol &, type_record *r) { r->buffer_protocol = true; }
};
template <>
struct process_attribute<metaclass> : process_attribute_default<metaclass> {
static void init(const metaclass &m, type_record *r) { r->metaclass = m.value; }
};
template <>
struct process_attribute<module_local> : process_attribute_default<module_local> {
static void init(const module_local &l, type_record *r) { r->module_local = l.value; }
};
/// Process an 'arithmetic' attribute for enums (does nothing here)
template <>
struct process_attribute<arithmetic> : process_attribute_default<arithmetic> {};
template <typename... Ts>
struct process_attribute<call_guard<Ts...>> : process_attribute_default<call_guard<Ts...>> { };
/**
* 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 <size_t Nurse, size_t Patient> struct process_attribute<keep_alive<Nurse, Patient>> : public process_attribute_default<keep_alive<Nurse, Patient>> {
template <size_t N = Nurse, size_t P = Patient, enable_if_t<N != 0 && P != 0, int> = 0>
static void precall(function_call &call) { keep_alive_impl(Nurse, Patient, call, handle()); }
template <size_t N = Nurse, size_t P = Patient, enable_if_t<N != 0 && P != 0, int> = 0>
static void postcall(function_call &, handle) { }
template <size_t N = Nurse, size_t P = Patient, enable_if_t<N == 0 || P == 0, int> = 0>
static void precall(function_call &) { }
template <size_t N = Nurse, size_t P = Patient, enable_if_t<N == 0 || P == 0, int> = 0>
static void postcall(function_call &call, handle ret) { keep_alive_impl(Nurse, Patient, call, 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(function_call &call) {
int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::precall(call), 0) ... };
ignore_unused(unused);
}
static void postcall(function_call &call, handle fn_ret) {
int unused[] = { 0, (process_attribute<typename std::decay<Args>::type>::postcall(call, fn_ret), 0) ... };
ignore_unused(unused);
}
};
template <typename T>
using is_call_guard = is_instantiation<call_guard, T>;
/// Extract the ``type`` from the first `call_guard` in `Extras...` (or `void_type` if none found)
template <typename... Extra>
using extract_guard_t = typename exactly_one_t<is_call_guard, call_guard<>, Extra...>::type;
/// 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, bool has_args, bool has_kwargs) {
return named == 0 || (self + named + has_args + has_kwargs) == nargs;
}
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/buffer_info.h 0 → 100644
View file @ 077a3b60
/*
pybind11/buffer_info.h: Python buffer object interface
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 "detail/common.h"
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
/// Information record describing a Python buffer object
struct buffer_info {
void *ptr = nullptr; // Pointer to the underlying storage
ssize_t itemsize = 0; // Size of individual items in bytes
ssize_t size = 0; // Total number of entries
std::string format; // For homogeneous buffers, this should be set to format_descriptor<T>::format()
ssize_t ndim = 0; // Number of dimensions
std::vector<ssize_t> shape; // Shape of the tensor (1 entry per dimension)
std::vector<ssize_t> strides; // Number of entries between adjacent entries (for each per dimension)
buffer_info() { }
buffer_info(void *ptr, ssize_t itemsize, const std::string &format, ssize_t ndim,
detail::any_container<ssize_t> shape_in, detail::any_container<ssize_t> strides_in)
: ptr(ptr), itemsize(itemsize), size(1), format(format), ndim(ndim),
shape(std::move(shape_in)), strides(std::move(strides_in)) {
if (ndim != (ssize_t) shape.size() || ndim != (ssize_t) strides.size())
pybind11_fail("buffer_info: ndim doesn't match shape and/or strides length");
for (size_t i = 0; i < (size_t) ndim; ++i)
size *= shape[i];
}
template <typename T>
buffer_info(T *ptr, detail::any_container<ssize_t> shape_in, detail::any_container<ssize_t> strides_in)
: buffer_info(private_ctr_tag(), ptr, sizeof(T), format_descriptor<T>::format(), static_cast<ssize_t>(shape_in->size()), std::move(shape_in), std::move(strides_in)) { }
buffer_info(void *ptr, ssize_t itemsize, const std::string &format, ssize_t size)
: buffer_info(ptr, itemsize, format, 1, {size}, {itemsize}) { }
template <typename T>
buffer_info(T *ptr, ssize_t size)
: buffer_info(ptr, sizeof(T), format_descriptor<T>::format(), size) { }
explicit buffer_info(Py_buffer *view, bool ownview = true)
: buffer_info(view->buf, view->itemsize, view->format, view->ndim,
{view->shape, view->shape + view->ndim}, {view->strides, view->strides + view->ndim}) {
this->view = view;
this->ownview = ownview;
}
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:
struct private_ctr_tag { };
buffer_info(private_ctr_tag, void *ptr, ssize_t itemsize, const std::string &format, ssize_t ndim,
detail::any_container<ssize_t> &&shape_in, detail::any_container<ssize_t> &&strides_in)
: buffer_info(ptr, itemsize, format, ndim, std::move(shape_in), std::move(strides_in)) { }
Py_buffer *view = nullptr;
bool ownview = false;
};
NAMESPACE_BEGIN(detail)
template <typename T, typename SFINAE = void> struct compare_buffer_info {
static bool compare(const buffer_info& b) {
return b.format == format_descriptor<T>::format() && b.itemsize == (ssize_t) sizeof(T);
}
};
template <typename T> struct compare_buffer_info<T, detail::enable_if_t<std::is_integral<T>::value>> {
static bool compare(const buffer_info& b) {
return (size_t) b.itemsize == sizeof(T) && (b.format == format_descriptor<T>::value ||
((sizeof(T) == sizeof(long)) && b.format == (std::is_unsigned<T>::value ? "L" : "l")) ||
((sizeof(T) == sizeof(size_t)) && b.format == (std::is_unsigned<T>::value ? "N" : "n")));
}
};
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/cast.h 0 → 100644
View file @ 077a3b60
/*
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 "detail/typeid.h"
#include "detail/descr.h"
#include "detail/internals.h"
#include <array>
#include <limits>
#include <tuple>
#if defined(PYBIND11_CPP17)
# if defined(__has_include)
# if __has_include(<string_view>)
# define PYBIND11_HAS_STRING_VIEW
# endif
# elif defined(_MSC_VER)
# define PYBIND11_HAS_STRING_VIEW
# endif
#endif
#ifdef PYBIND11_HAS_STRING_VIEW
#include <string_view>
#endif
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
NAMESPACE_BEGIN(detail)
/// A life support system for temporary objects created by `type_caster::load()`.
/// Adding a patient will keep it alive up until the enclosing function returns.
class loader_life_support {
public:
/// A new patient frame is created when a function is entered
loader_life_support() {
get_internals().loader_patient_stack.push_back(nullptr);
}
/// ... and destroyed after it returns
~loader_life_support() {
auto &stack = get_internals().loader_patient_stack;
if (stack.empty())
pybind11_fail("loader_life_support: internal error");
auto ptr = stack.back();
stack.pop_back();
Py_CLEAR(ptr);
// A heuristic to reduce the stack's capacity (e.g. after long recursive calls)
if (stack.capacity() > 16 && stack.size() != 0 && stack.capacity() / stack.size() > 2)
stack.shrink_to_fit();
}
/// This can only be used inside a pybind11-bound function, either by `argument_loader`
/// at argument preparation time or by `py::cast()` at execution time.
PYBIND11_NOINLINE static void add_patient(handle h) {
auto &stack = get_internals().loader_patient_stack;
if (stack.empty())
throw cast_error("When called outside a bound function, py::cast() cannot "
"do Python -> C++ conversions which require the creation "
"of temporary values");
auto &list_ptr = stack.back();
if (list_ptr == nullptr) {
list_ptr = PyList_New(1);
if (!list_ptr)
pybind11_fail("loader_life_support: error allocating list");
PyList_SET_ITEM(list_ptr, 0, h.inc_ref().ptr());
} else {
auto result = PyList_Append(list_ptr, h.ptr());
if (result == -1)
pybind11_fail("loader_life_support: error adding patient");
}
}
};
// Gets the cache entry for the given type, creating it if necessary. The return value is the pair
// returned by emplace, i.e. an iterator for the entry and a bool set to `true` if the entry was
// just created.
inline std::pair<decltype(internals::registered_types_py)::iterator, bool> all_type_info_get_cache(PyTypeObject *type);
// Populates a just-created cache entry.
PYBIND11_NOINLINE inline void all_type_info_populate(PyTypeObject *t, std::vector<type_info *> &bases) {
std::vector<PyTypeObject *> check;
for (handle parent : reinterpret_borrow<tuple>(t->tp_bases))
check.push_back((PyTypeObject *) parent.ptr());
auto const &type_dict = get_internals().registered_types_py;
for (size_t i = 0; i < check.size(); i++) {
auto type = check[i];
// Ignore Python2 old-style class super type:
if (!PyType_Check((PyObject *) type)) continue;
// Check `type` in the current set of registered python types:
auto it = type_dict.find(type);
if (it != type_dict.end()) {
// We found a cache entry for it, so it's either pybind-registered or has pre-computed
// pybind bases, but we have to make sure we haven't already seen the type(s) before: we
// want to follow Python/virtual C++ rules that there should only be one instance of a
// common base.
for (auto *tinfo : it->second) {
// NB: Could use a second set here, rather than doing a linear search, but since
// having a large number of immediate pybind11-registered types seems fairly
// unlikely, that probably isn't worthwhile.
bool found = false;
for (auto *known : bases) {
if (known == tinfo) { found = true; break; }
}
if (!found) bases.push_back(tinfo);
}
}
else if (type->tp_bases) {
// It's some python type, so keep follow its bases classes to look for one or more
// registered types
if (i + 1 == check.size()) {
// When we're at the end, we can pop off the current element to avoid growing
// `check` when adding just one base (which is typical--i.e. when there is no
// multiple inheritance)
check.pop_back();
i--;
}
for (handle parent : reinterpret_borrow<tuple>(type->tp_bases))
check.push_back((PyTypeObject *) parent.ptr());
}
}
}
/**
* Extracts vector of type_info pointers of pybind-registered roots of the given Python type. Will
* be just 1 pybind type for the Python type of a pybind-registered class, or for any Python-side
* derived class that uses single inheritance. Will contain as many types as required for a Python
* class that uses multiple inheritance to inherit (directly or indirectly) from multiple
* pybind-registered classes. Will be empty if neither the type nor any base classes are
* pybind-registered.
*
* The value is cached for the lifetime of the Python type.
*/
inline const std::vector<detail::type_info *> &all_type_info(PyTypeObject *type) {
auto ins = all_type_info_get_cache(type);
if (ins.second)
// New cache entry: populate it
all_type_info_populate(type, ins.first->second);
return ins.first->second;
}
/**
* Gets a single pybind11 type info for a python type. Returns nullptr if neither the type nor any
* ancestors are pybind11-registered. Throws an exception if there are multiple bases--use
* `all_type_info` instead if you want to support multiple bases.
*/
PYBIND11_NOINLINE inline detail::type_info* get_type_info(PyTypeObject *type) {
auto &bases = all_type_info(type);
if (bases.size() == 0)
return nullptr;
if (bases.size() > 1)
pybind11_fail("pybind11::detail::get_type_info: type has multiple pybind11-registered bases");
return bases.front();
}
inline detail::type_info *get_local_type_info(const std::type_index &tp) {
auto &locals = registered_local_types_cpp();
auto it = locals.find(tp);
if (it != locals.end())
return it->second;
return nullptr;
}
inline detail::type_info *get_global_type_info(const std::type_index &tp) {
auto &types = get_internals().registered_types_cpp;
auto it = types.find(tp);
if (it != types.end())
return it->second;
return nullptr;
}
/// Return the type info for a given C++ type; on lookup failure can either throw or return nullptr.
PYBIND11_NOINLINE inline detail::type_info *get_type_info(const std::type_index &tp,
bool throw_if_missing = false) {
if (auto ltype = get_local_type_info(tp))
return ltype;
if (auto gtype = get_global_type_info(tp))
return gtype;
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);
}
struct value_and_holder {
instance *inst;
size_t index;
const detail::type_info *type;
void **vh;
// Main constructor for a found value/holder:
value_and_holder(instance *i, const detail::type_info *type, size_t vpos, size_t index) :
inst{i}, index{index}, type{type},
vh{inst->simple_layout ? inst->simple_value_holder : &inst->nonsimple.values_and_holders[vpos]}
{}
// Default constructor (used to signal a value-and-holder not found by get_value_and_holder())
value_and_holder() : inst{nullptr} {}
// Used for past-the-end iterator
value_and_holder(size_t index) : index{index} {}
template <typename V = void> V *&value_ptr() const {
return reinterpret_cast<V *&>(vh[0]);
}
// True if this `value_and_holder` has a non-null value pointer
explicit operator bool() const { return value_ptr(); }
template <typename H> H &holder() const {
return reinterpret_cast<H &>(vh[1]);
}
bool holder_constructed() const {
return inst->simple_layout
? inst->simple_holder_constructed
: inst->nonsimple.status[index] & instance::status_holder_constructed;
}
void set_holder_constructed(bool v = true) {
if (inst->simple_layout)
inst->simple_holder_constructed = v;
else if (v)
inst->nonsimple.status[index] |= instance::status_holder_constructed;
else
inst->nonsimple.status[index] &= (uint8_t) ~instance::status_holder_constructed;
}
bool instance_registered() const {
return inst->simple_layout
? inst->simple_instance_registered
: inst->nonsimple.status[index] & instance::status_instance_registered;
}
void set_instance_registered(bool v = true) {
if (inst->simple_layout)
inst->simple_instance_registered = v;
else if (v)
inst->nonsimple.status[index] |= instance::status_instance_registered;
else
inst->nonsimple.status[index] &= (uint8_t) ~instance::status_instance_registered;
}
};
// Container for accessing and iterating over an instance's values/holders
struct values_and_holders {
private:
instance *inst;
using type_vec = std::vector<detail::type_info *>;
const type_vec &tinfo;
public:
values_and_holders(instance *inst) : inst{inst}, tinfo(all_type_info(Py_TYPE(inst))) {}
struct iterator {
private:
instance *inst;
const type_vec *types;
value_and_holder curr;
friend struct values_and_holders;
iterator(instance *inst, const type_vec *tinfo)
: inst{inst}, types{tinfo},
curr(inst /* instance */,
types->empty() ? nullptr : (*types)[0] /* type info */,
0, /* vpos: (non-simple types only): the first vptr comes first */
0 /* index */)
{}
// Past-the-end iterator:
iterator(size_t end) : curr(end) {}
public:
bool operator==(const iterator &other) { return curr.index == other.curr.index; }
bool operator!=(const iterator &other) { return curr.index != other.curr.index; }
iterator &operator++() {
if (!inst->simple_layout)
curr.vh += 1 + (*types)[curr.index]->holder_size_in_ptrs;
++curr.index;
curr.type = curr.index < types->size() ? (*types)[curr.index] : nullptr;
return *this;
}
value_and_holder &operator*() { return curr; }
value_and_holder *operator->() { return &curr; }
};
iterator begin() { return iterator(inst, &tinfo); }
iterator end() { return iterator(tinfo.size()); }
iterator find(const type_info *find_type) {
auto it = begin(), endit = end();
while (it != endit && it->type != find_type) ++it;
return it;
}
size_t size() { return tinfo.size(); }
};
/**
* Extracts C++ value and holder pointer references from an instance (which may contain multiple
* values/holders for python-side multiple inheritance) that match the given type. Throws an error
* if the given type (or ValueType, if omitted) is not a pybind11 base of the given instance. If
* `find_type` is omitted (or explicitly specified as nullptr) the first value/holder are returned,
* regardless of type (and the resulting .type will be nullptr).
*
* The returned object should be short-lived: in particular, it must not outlive the called-upon
* instance.
*/
PYBIND11_NOINLINE inline value_and_holder instance::get_value_and_holder(const type_info *find_type /*= nullptr default in common.h*/, bool throw_if_missing /*= true in common.h*/) {
// Optimize common case:
if (!find_type || Py_TYPE(this) == find_type->type)
return value_and_holder(this, find_type, 0, 0);
detail::values_and_holders vhs(this);
auto it = vhs.find(find_type);
if (it != vhs.end())
return *it;
if (!throw_if_missing)
return value_and_holder();
#if defined(NDEBUG)
pybind11_fail("pybind11::detail::instance::get_value_and_holder: "
"type is not a pybind11 base of the given instance "
"(compile in debug mode for type details)");
#else
pybind11_fail("pybind11::detail::instance::get_value_and_holder: `" +
std::string(find_type->type->tp_name) + "' is not a pybind11 base of the given `" +
std::string(Py_TYPE(this)->tp_name) + "' instance");
#endif
}
PYBIND11_NOINLINE inline void instance::allocate_layout() {
auto &tinfo = all_type_info(Py_TYPE(this));
const size_t n_types = tinfo.size();
if (n_types == 0)
pybind11_fail("instance allocation failed: new instance has no pybind11-registered base types");
simple_layout =
n_types == 1 && tinfo.front()->holder_size_in_ptrs <= instance_simple_holder_in_ptrs();
// Simple path: no python-side multiple inheritance, and a small-enough holder
if (simple_layout) {
simple_value_holder[0] = nullptr;
simple_holder_constructed = false;
simple_instance_registered = false;
}
else { // multiple base types or a too-large holder
// Allocate space to hold: [v1*][h1][v2*][h2]...[bb...] where [vN*] is a value pointer,
// [hN] is the (uninitialized) holder instance for value N, and [bb...] is a set of bool
// values that tracks whether each associated holder has been initialized. Each [block] is
// padded, if necessary, to an integer multiple of sizeof(void *).
size_t space = 0;
for (auto t : tinfo) {
space += 1; // value pointer
space += t->holder_size_in_ptrs; // holder instance
}
size_t flags_at = space;
space += size_in_ptrs(n_types); // status bytes (holder_constructed and instance_registered)
// Allocate space for flags, values, and holders, and initialize it to 0 (flags and values,
// in particular, need to be 0). Use Python's memory allocation functions: in Python 3.6
// they default to using pymalloc, which is designed to be efficient for small allocations
// like the one we're doing here; in earlier versions (and for larger allocations) they are
// just wrappers around malloc.
#if PY_VERSION_HEX >= 0x03050000
nonsimple.values_and_holders = (void **) PyMem_Calloc(space, sizeof(void *));
if (!nonsimple.values_and_holders) throw std::bad_alloc();
#else
nonsimple.values_and_holders = (void **) PyMem_New(void *, space);
if (!nonsimple.values_and_holders) throw std::bad_alloc();
std::memset(nonsimple.values_and_holders, 0, space * sizeof(void *));
#endif
nonsimple.status = reinterpret_cast<uint8_t *>(&nonsimple.values_and_holders[flags_at]);
}
owned = true;
}
PYBIND11_NOINLINE inline void instance::deallocate_layout() {
if (!simple_layout)
PyMem_Free(nonsimple.values_and_holders);
}
PYBIND11_NOINLINE inline bool isinstance_generic(handle obj, const std::type_info &tp) {
handle type = detail::get_type_handle(tp, false);
if (!type)
return false;
return isinstance(obj, type);
}
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 !defined(PYPY_VERSION)
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;
}
}
#endif
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) {
for (auto vh : values_and_holders(it->second)) {
if (vh.type == type)
return handle((PyObject *) it->second);
}
}
return handle();
}
inline PyThreadState *get_thread_state_unchecked() {
#if defined(PYPY_VERSION)
return PyThreadState_GET();
#elif 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 declarations
inline void keep_alive_impl(handle nurse, handle patient);
inline PyObject *make_new_instance(PyTypeObject *type);
class type_caster_generic {
public:
PYBIND11_NOINLINE type_caster_generic(const std::type_info &type_info)
: typeinfo(get_type_info(type_info)), cpptype(&type_info) { }
type_caster_generic(const type_info *typeinfo)
: typeinfo(typeinfo), cpptype(typeinfo ? typeinfo->cpptype : nullptr) { }
bool load(handle src, bool convert) {
return load_impl<type_caster_generic>(src, convert);
}
PYBIND11_NOINLINE static handle cast(const void *_src, return_value_policy policy, handle parent,
const detail::type_info *tinfo,
void *(*copy_constructor)(const void *),
void *(*move_constructor)(const void *),
const void *existing_holder = nullptr) {
if (!tinfo) // no type info: error will be set already
return handle();
void *src = const_cast<void *>(_src);
if (src == nullptr)
return none().release();
auto it_instances = get_internals().registered_instances.equal_range(src);
for (auto it_i = it_instances.first; it_i != it_instances.second; ++it_i) {
for (auto instance_type : detail::all_type_info(Py_TYPE(it_i->second))) {
if (instance_type && same_type(*instance_type->cpptype, *tinfo->cpptype))
return handle((PyObject *) it_i->second).inc_ref();
}
}
auto inst = reinterpret_steal<object>(make_new_instance(tinfo->type));
auto wrapper = reinterpret_cast<instance *>(inst.ptr());
wrapper->owned = false;
void *&valueptr = values_and_holders(wrapper).begin()->value_ptr();
switch (policy) {
case return_value_policy::automatic:
case return_value_policy::take_ownership:
valueptr = src;
wrapper->owned = true;
break;
case return_value_policy::automatic_reference:
case return_value_policy::reference:
valueptr = src;
wrapper->owned = false;
break;
case return_value_policy::copy:
if (copy_constructor)
valueptr = 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)
valueptr = move_constructor(src);
else if (copy_constructor)
valueptr = 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:
valueptr = src;
wrapper->owned = false;
keep_alive_impl(inst, parent);
break;
default:
throw cast_error("unhandled return_value_policy: should not happen!");
}
tinfo->init_instance(wrapper, existing_holder);
return inst.release();
}
// Base methods for generic caster; there are overridden in copyable_holder_caster
void load_value(value_and_holder &&v_h) {
auto *&vptr = v_h.value_ptr();
// Lazy allocation for unallocated values:
if (vptr == nullptr) {
auto *type = v_h.type ? v_h.type : typeinfo;
vptr = type->operator_new(type->type_size);
}
value = vptr;
}
bool try_implicit_casts(handle src, bool convert) {
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;
}
}
return false;
}
bool try_direct_conversions(handle src) {
for (auto &converter : *typeinfo->direct_conversions) {
if (converter(src.ptr(), value))
return true;
}
return false;
}
void check_holder_compat() {}
PYBIND11_NOINLINE static void *local_load(PyObject *src, const type_info *ti) {
auto caster = type_caster_generic(ti);
if (caster.load(src, false))
return caster.value;
return nullptr;
}
/// Try to load with foreign typeinfo, if available. Used when there is no
/// native typeinfo, or when the native one wasn't able to produce a value.
PYBIND11_NOINLINE bool try_load_foreign_module_local(handle src) {
constexpr auto *local_key = PYBIND11_MODULE_LOCAL_ID;
const auto pytype = src.get_type();
if (!hasattr(pytype, local_key))
return false;
type_info *foreign_typeinfo = reinterpret_borrow<capsule>(getattr(pytype, local_key));
// Only consider this foreign loader if actually foreign and is a loader of the correct cpp type
if (foreign_typeinfo->module_local_load == &local_load
|| (cpptype && !same_type(*cpptype, *foreign_typeinfo->cpptype)))
return false;
if (auto result = foreign_typeinfo->module_local_load(src.ptr(), foreign_typeinfo)) {
value = result;
return true;
}
return false;
}
// Implementation of `load`; this takes the type of `this` so that it can dispatch the relevant
// bits of code between here and copyable_holder_caster where the two classes need different
// logic (without having to resort to virtual inheritance).
template <typename ThisT>
PYBIND11_NOINLINE bool load_impl(handle src, bool convert) {
if (!src) return false;
if (!typeinfo) return try_load_foreign_module_local(src);
if (src.is_none()) {
// Defer accepting None to other overloads (if we aren't in convert mode):
if (!convert) return false;
value = nullptr;
return true;
}
auto &this_ = static_cast<ThisT &>(*this);
this_.check_holder_compat();
PyTypeObject *srctype = Py_TYPE(src.ptr());
// Case 1: If src is an exact type match for the target type then we can reinterpret_cast
// the instance's value pointer to the target type:
if (srctype == typeinfo->type) {
this_.load_value(reinterpret_cast<instance *>(src.ptr())->get_value_and_holder());
return true;
}
// Case 2: We have a derived class
else if (PyType_IsSubtype(srctype, typeinfo->type)) {
auto &bases = all_type_info(srctype);
bool no_cpp_mi = typeinfo->simple_type;
// Case 2a: the python type is a Python-inherited derived class that inherits from just
// one simple (no MI) pybind11 class, or is an exact match, so the C++ instance is of
// the right type and we can use reinterpret_cast.
// (This is essentially the same as case 2b, but because not using multiple inheritance
// is extremely common, we handle it specially to avoid the loop iterator and type
// pointer lookup overhead)
if (bases.size() == 1 && (no_cpp_mi || bases.front()->type == typeinfo->type)) {
this_.load_value(reinterpret_cast<instance *>(src.ptr())->get_value_and_holder());
return true;
}
// Case 2b: the python type inherits from multiple C++ bases. Check the bases to see if
// we can find an exact match (or, for a simple C++ type, an inherited match); if so, we
// can safely reinterpret_cast to the relevant pointer.
else if (bases.size() > 1) {
for (auto base : bases) {
if (no_cpp_mi ? PyType_IsSubtype(base->type, typeinfo->type) : base->type == typeinfo->type) {
this_.load_value(reinterpret_cast<instance *>(src.ptr())->get_value_and_holder(base));
return true;
}
}
}
// Case 2c: C++ multiple inheritance is involved and we couldn't find an exact type match
// in the registered bases, above, so try implicit casting (needed for proper C++ casting
// when MI is involved).
if (this_.try_implicit_casts(src, convert))
return true;
}
// Perform an implicit conversion
if (convert) {
for (auto &converter : typeinfo->implicit_conversions) {
auto temp = reinterpret_steal<object>(converter(src.ptr(), typeinfo->type));
if (load_impl<ThisT>(temp, false)) {
loader_life_support::add_patient(temp);
return true;
}
}
if (this_.try_direct_conversions(src))
return true;
}
// Failed to match local typeinfo. Try again with global.
if (typeinfo->module_local) {
if (auto gtype = get_global_type_info(*typeinfo->cpptype)) {
typeinfo = gtype;
return load(src, false);
}
}
// Global typeinfo has precedence over foreign module_local
return try_load_foreign_module_local(src);
}
// Called to do type lookup and wrap the pointer and type in a pair when a dynamic_cast
// isn't needed or can't be used. If the type is unknown, sets the error and returns a pair
// with .second = nullptr. (p.first = nullptr is not an error: it becomes None).
PYBIND11_NOINLINE static std::pair<const void *, const type_info *> src_and_type(
const void *src, const std::type_info &cast_type, const std::type_info *rtti_type = nullptr) {
if (auto *tpi = get_type_info(cast_type))
return {src, const_cast<const type_info *>(tpi)};
// Not found, set error:
std::string tname = rtti_type ? rtti_type->name() : cast_type.name();
detail::clean_type_id(tname);
std::string msg = "Unregistered type : " + tname;
PyErr_SetString(PyExc_TypeError, msg.c_str());
return {nullptr, nullptr};
}
const type_info *typeinfo = nullptr;
const std::type_info *cpptype = nullptr;
void *value = nullptr;
};
/**
* Determine suitable casting operator for pointer-or-lvalue-casting type casters. The type caster
* needs to provide `operator T*()` and `operator T&()` operators.
*
* If the type supports moving the value away via an `operator T&&() &&` method, it should use
* `movable_cast_op_type` instead.
*/
template <typename T>
using cast_op_type =
conditional_t<std::is_pointer<remove_reference_t<T>>::value,
typename std::add_pointer<intrinsic_t<T>>::type,
typename std::add_lvalue_reference<intrinsic_t<T>>::type>;
/**
* Determine suitable casting operator for a type caster with a movable value. Such a type caster
* needs to provide `operator T*()`, `operator T&()`, and `operator T&&() &&`. The latter will be
* called in appropriate contexts where the value can be moved rather than copied.
*
* These operator are automatically provided when using the PYBIND11_TYPE_CASTER macro.
*/
template <typename T>
using movable_cast_op_type =
conditional_t<std::is_pointer<typename std::remove_reference<T>::type>::value,
typename std::add_pointer<intrinsic_t<T>>::type,
conditional_t<std::is_rvalue_reference<T>::value,
typename std::add_rvalue_reference<intrinsic_t<T>>::type,
typename std::add_lvalue_reference<intrinsic_t<T>>::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<all_of<
std::is_copy_constructible<Container>,
std::is_same<typename Container::value_type &, typename Container::reference>
>::value>> : is_copy_constructible<typename Container::value_type> {};
#if !defined(PYBIND11_CPP17)
// Likewise for std::pair before C++17 (which mandates that the copy constructor not exist when the
// two types aren't themselves copy constructible).
template <typename T1, typename T2> struct is_copy_constructible<std::pair<T1, T2>>
: all_of<is_copy_constructible<T1>, is_copy_constructible<T2>> {};
#endif
/// 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 constexpr auto name = _<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);
}
// Returns a (pointer, type_info) pair taking care of necessary RTTI type lookup for a
// polymorphic type. If the instance isn't derived, returns the non-RTTI base version.
template <typename T = itype, enable_if_t<std::is_polymorphic<T>::value, int> = 0>
static std::pair<const void *, const type_info *> src_and_type(const itype *src) {
const void *vsrc = src;
auto &cast_type = typeid(itype);
const std::type_info *instance_type = nullptr;
if (vsrc) {
instance_type = &typeid(*src);
if (!same_type(cast_type, *instance_type)) {
// This is a base pointer to a derived type; if it is a pybind11-registered type, we
// can get the correct derived pointer (which may be != base pointer) by a
// dynamic_cast to most derived type:
if (auto *tpi = get_type_info(*instance_type))
return {dynamic_cast<const void *>(src), const_cast<const type_info *>(tpi)};
}
}
// Otherwise we have either a nullptr, an `itype` pointer, or an unknown derived pointer, so
// don't do a cast
return type_caster_generic::src_and_type(vsrc, cast_type, instance_type);
}
// Non-polymorphic type, so no dynamic casting; just call the generic version directly
template <typename T = itype, enable_if_t<!std::is_polymorphic<T>::value, int> = 0>
static std::pair<const void *, const type_info *> src_and_type(const itype *src) {
return type_caster_generic::src_and_type(src, typeid(itype));
}
static handle cast(const itype *src, return_value_policy policy, handle parent) {
auto st = src_and_type(src);
return type_caster_generic::cast(
st.first, policy, parent, st.second,
make_copy_constructor(src), make_move_constructor(src));
}
static handle cast_holder(const itype *src, const void *holder) {
auto st = src_and_type(src);
return type_caster_generic::cast(
st.first, return_value_policy::take_ownership, {}, st.second,
nullptr, nullptr, holder);
}
template <typename T> using cast_op_type = detail::cast_op_type<T>;
operator itype*() { return (type *) value; }
operator itype&() { if (!value) throw reference_cast_error(); return *((itype *) value); }
protected:
using Constructor = void *(*)(const void *);
/* Only enabled when the types are {copy,move}-constructible *and* when the type
does not have a private operator new implementation. */
template <typename T, typename = enable_if_t<is_copy_constructible<T>::value>>
static auto make_copy_constructor(const T *x) -> decltype(new T(*x), Constructor{}) {
return [](const void *arg) -> void * {
return new T(*reinterpret_cast<const T *>(arg));
};
}
template <typename T, typename = enable_if_t<std::is_move_constructible<T>::value>>
static auto make_move_constructor(const T *x) -> decltype(new T(std::move(*const_cast<T *>(x))), Constructor{}) {
return [](const void *arg) -> void * {
return new T(std::move(*const_cast<T *>(reinterpret_cast<const T *>(arg))));
};
}
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<typename std::add_rvalue_reference<T>::type>
cast_op(make_caster<T> &&caster) {
return std::move(caster).operator
typename make_caster<T>::template cast_op_type<typename std::add_rvalue_reference<T>::type>();
}
template <typename type> class type_caster<std::reference_wrapper<type>> {
private:
using caster_t = make_caster<type>;
caster_t subcaster;
using subcaster_cast_op_type = typename caster_t::template cast_op_type<type>;
static_assert(std::is_same<typename std::remove_const<type>::type &, subcaster_cast_op_type>::value,
"std::reference_wrapper<T> caster requires T to have a caster with an `T &` operator");
public:
bool load(handle src, bool convert) { return subcaster.load(src, convert); }
static constexpr auto name = caster_t::name;
static handle cast(const std::reference_wrapper<type> &src, return_value_policy policy, handle parent) {
// It is definitely wrong to take ownership of this pointer, so mask that rvp
if (policy == return_value_policy::take_ownership || policy == return_value_policy::automatic)
policy = return_value_policy::automatic_reference;
return caster_t::cast(&src.get(), policy, parent);
}
template <typename T> using cast_op_type = std::reference_wrapper<type>;
operator std::reference_wrapper<type>() { return subcaster.operator subcaster_cast_op_type&(); }
};
#define PYBIND11_TYPE_CASTER(type, py_name) \
protected: \
type value; \
public: \
static constexpr auto name = py_name; \
template <typename T_, enable_if_t<std::is_same<type, remove_cv_t<T_>>::value, int> = 0> \
static handle cast(T_ *src, return_value_policy policy, handle parent) { \
if (!src) return none().release(); \
if (policy == return_value_policy::take_ownership) { \
auto h = cast(std::move(*src), policy, parent); delete src; return h; \
} else { \
return cast(*src, policy, parent); \
} \
} \
operator type*() { return &value; } \
operator type&() { return value; } \
operator type&&() && { return std::move(value); } \
template <typename T_> using cast_op_type = pybind11::detail::movable_cast_op_type<T_>
template <typename CharT> using is_std_char_type = any_of<
std::is_same<CharT, char>, /* std::string */
std::is_same<CharT, char16_t>, /* std::u16string */
std::is_same<CharT, char32_t>, /* std::u32string */
std::is_same<CharT, wchar_t> /* std::wstring */
>;
template <typename T>
struct type_caster<T, enable_if_t<std::is_arithmetic<T>::value && !is_std_char_type<T>::value>> {
using _py_type_0 = conditional_t<sizeof(T) <= sizeof(long), long, long long>;
using _py_type_1 = conditional_t<std::is_signed<T>::value, _py_type_0, typename std::make_unsigned<_py_type_0>::type>;
using py_type = conditional_t<std::is_floating_point<T>::value, double, _py_type_1>;
public:
bool load(handle src, bool convert) {
py_type py_value;
if (!src)
return false;
if (std::is_floating_point<T>::value) {
if (convert || PyFloat_Check(src.ptr()))
py_value = (py_type) PyFloat_AsDouble(src.ptr());
else
return false;
} else if (PyFloat_Check(src.ptr())) {
return false;
} else if (std::is_unsigned<py_type>::value) {
py_value = as_unsigned<py_type>(src.ptr());
} else { // signed integer:
py_value = sizeof(T) <= sizeof(long)
? (py_type) PyLong_AsLong(src.ptr())
: (py_type) PYBIND11_LONG_AS_LONGLONG(src.ptr());
}
bool py_err = py_value == (py_type) -1 && PyErr_Occurred();
if (py_err || (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()))) {
bool type_error = py_err && PyErr_ExceptionMatches(
#if PY_VERSION_HEX < 0x03000000 && !defined(PYPY_VERSION)
PyExc_SystemError
#else
PyExc_TypeError
#endif
);
PyErr_Clear();
if (type_error && convert && PyNumber_Check(src.ptr())) {
auto tmp = reinterpret_steal<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(ssize_t)) {
// This returns a long automatically if needed
if (std::is_signed<T>::value)
return PYBIND11_LONG_FROM_SIGNED(src);
else
return PYBIND11_LONG_FROM_UNSIGNED(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 src, bool) {
if (src && src.is_none())
return true;
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 */
auto &bases = all_type_info((PyTypeObject *) h.get_type().ptr());
if (bases.size() == 1) { // Only allowing loading from a single-value type
value = values_and_holders(reinterpret_cast<instance *>(h.ptr())).begin()->value_ptr();
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 constexpr auto name = _("capsule");
private:
void *value = nullptr;
};
template <> class type_caster<std::nullptr_t> : public void_caster<std::nullptr_t> { };
template <> class type_caster<bool> {
public:
bool load(handle src, bool convert) {
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 if (convert || !strcmp("numpy.bool_", Py_TYPE(src.ptr())->tp_name)) {
// (allow non-implicit conversion for numpy booleans)
Py_ssize_t res = -1;
if (src.is_none()) {
res = 0; // None is implicitly converted to False
}
#if defined(PYPY_VERSION)
// On PyPy, check that "__bool__" (or "__nonzero__" on Python 2.7) attr exists
else if (hasattr(src, PYBIND11_BOOL_ATTR)) {
res = PyObject_IsTrue(src.ptr());
}
#else
// Alternate approach for CPython: this does the same as the above, but optimized
// using the CPython API so as to avoid an unneeded attribute lookup.
else if (auto tp_as_number = src.ptr()->ob_type->tp_as_number) {
if (PYBIND11_NB_BOOL(tp_as_number)) {
res = (*PYBIND11_NB_BOOL(tp_as_number))(src.ptr());
}
}
#endif
if (res == 0 || res == 1) {
value = (bool) res;
return true;
}
}
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"));
};
// Helper class for UTF-{8,16,32} C++ stl strings:
template <typename StringType, bool IsView = false> struct string_caster {
using CharT = typename StringType::value_type;
// Simplify life by being able to assume standard char sizes (the standard only guarantees
// minimums, but Python requires exact sizes)
static_assert(!std::is_same<CharT, char>::value || sizeof(CharT) == 1, "Unsupported char size != 1");
static_assert(!std::is_same<CharT, char16_t>::value || sizeof(CharT) == 2, "Unsupported char16_t size != 2");
static_assert(!std::is_same<CharT, char32_t>::value || sizeof(CharT) == 4, "Unsupported char32_t size != 4");
// wchar_t can be either 16 bits (Windows) or 32 (everywhere else)
static_assert(!std::is_same<CharT, wchar_t>::value || sizeof(CharT) == 2 || sizeof(CharT) == 4,
"Unsupported wchar_t size != 2/4");
static constexpr size_t UTF_N = 8 * sizeof(CharT);
bool load(handle src, bool) {
#if PY_MAJOR_VERSION < 3
object temp;
#endif
handle load_src = src;
if (!src) {
return false;
} else if (!PyUnicode_Check(load_src.ptr())) {
#if PY_MAJOR_VERSION >= 3
return load_bytes(load_src);
#else
if (sizeof(CharT) == 1) {
return load_bytes(load_src);
}
// The below is a guaranteed failure in Python 3 when PyUnicode_Check returns false
if (!PYBIND11_BYTES_CHECK(load_src.ptr()))
return false;
temp = reinterpret_steal<object>(PyUnicode_FromObject(load_src.ptr()));
if (!temp) { PyErr_Clear(); return false; }
load_src = temp;
#endif
}
object utfNbytes = reinterpret_steal<object>(PyUnicode_AsEncodedString(
load_src.ptr(), UTF_N == 8 ? "utf-8" : UTF_N == 16 ? "utf-16" : "utf-32", nullptr));
if (!utfNbytes) { PyErr_Clear(); return false; }
const CharT *buffer = reinterpret_cast<const CharT *>(PYBIND11_BYTES_AS_STRING(utfNbytes.ptr()));
size_t length = (size_t) PYBIND11_BYTES_SIZE(utfNbytes.ptr()) / sizeof(CharT);
if (UTF_N > 8) { buffer++; length--; } // Skip BOM for UTF-16/32
value = StringType(buffer, length);
// If we're loading a string_view we need to keep the encoded Python object alive:
if (IsView)
loader_life_support::add_patient(utfNbytes);
return true;
}
static handle cast(const StringType &src, return_value_policy /* policy */, handle /* parent */) {
const char *buffer = reinterpret_cast<const char *>(src.data());
ssize_t nbytes = ssize_t(src.size() * sizeof(CharT));
handle s = decode_utfN(buffer, nbytes);
if (!s) throw error_already_set();
return s;
}
PYBIND11_TYPE_CASTER(StringType, _(PYBIND11_STRING_NAME));
private:
static handle decode_utfN(const char *buffer, ssize_t nbytes) {
#if !defined(PYPY_VERSION)
return
UTF_N == 8 ? PyUnicode_DecodeUTF8(buffer, nbytes, nullptr) :
UTF_N == 16 ? PyUnicode_DecodeUTF16(buffer, nbytes, nullptr, nullptr) :
PyUnicode_DecodeUTF32(buffer, nbytes, nullptr, nullptr);
#else
// PyPy seems to have multiple problems related to PyUnicode_UTF*: the UTF8 version
// sometimes segfaults for unknown reasons, while the UTF16 and 32 versions require a
// non-const char * arguments, which is also a nuissance, so bypass the whole thing by just
// passing the encoding as a string value, which works properly:
return PyUnicode_Decode(buffer, nbytes, UTF_N == 8 ? "utf-8" : UTF_N == 16 ? "utf-16" : "utf-32", nullptr);
#endif
}
// When loading into a std::string or char*, accept a bytes object as-is (i.e.
// without any encoding/decoding attempt). For other C++ char sizes this is a no-op.
// which supports loading a unicode from a str, doesn't take this path.
template <typename C = CharT>
bool load_bytes(enable_if_t<sizeof(C) == 1, handle> src) {
if (PYBIND11_BYTES_CHECK(src.ptr())) {
// We were passed a Python 3 raw bytes; accept it into a std::string or char*
// without any encoding attempt.
const char *bytes = PYBIND11_BYTES_AS_STRING(src.ptr());
if (bytes) {
value = StringType(bytes, (size_t) PYBIND11_BYTES_SIZE(src.ptr()));
return true;
}
}
return false;
}
template <typename C = CharT>
bool load_bytes(enable_if_t<sizeof(C) != 1, handle>) { return false; }
};
template <typename CharT, class Traits, class Allocator>
struct type_caster<std::basic_string<CharT, Traits, Allocator>, enable_if_t<is_std_char_type<CharT>::value>>
: string_caster<std::basic_string<CharT, Traits, Allocator>> {};
#ifdef PYBIND11_HAS_STRING_VIEW
template <typename CharT, class Traits>
struct type_caster<std::basic_string_view<CharT, Traits>, enable_if_t<is_std_char_type<CharT>::value>>
: string_caster<std::basic_string_view<CharT, Traits>, true> {};
#endif
// Type caster for C-style strings. We basically use a std::string type caster, but also add the
// ability to use None as a nullptr char* (which the string caster doesn't allow).
template <typename CharT> struct type_caster<CharT, enable_if_t<is_std_char_type<CharT>::value>> {
using StringType = std::basic_string<CharT>;
using StringCaster = type_caster<StringType>;
StringCaster str_caster;
bool none = false;
CharT one_char = 0;
public:
bool load(handle src, bool convert) {
if (!src) return false;
if (src.is_none()) {
// Defer accepting None to other overloads (if we aren't in convert mode):
if (!convert) return false;
none = true;
return true;
}
return str_caster.load(src, convert);
}
static handle cast(const CharT *src, return_value_policy policy, handle parent) {
if (src == nullptr) return pybind11::none().inc_ref();
return StringCaster::cast(StringType(src), policy, parent);
}
static handle cast(CharT src, return_value_policy policy, handle parent) {
if (std::is_same<char, CharT>::value) {
handle s = PyUnicode_DecodeLatin1((const char *) &src, 1, nullptr);
if (!s) throw error_already_set();
return s;
}
return StringCaster::cast(StringType(1, src), policy, parent);
}
operator CharT*() { return none ? nullptr : const_cast<CharT *>(static_cast<StringType &>(str_caster).c_str()); }
operator CharT&() {
if (none)
throw value_error("Cannot convert None to a character");
auto &value = static_cast<StringType &>(str_caster);
size_t str_len = value.size();
if (str_len == 0)
throw value_error("Cannot convert empty string to a character");
// If we're in UTF-8 mode, we have two possible failures: one for a unicode character that
// is too high, and one for multiple unicode characters (caught later), so we need to figure
// out how long the first encoded character is in bytes to distinguish between these two
// errors. We also allow want to allow unicode characters U+0080 through U+00FF, as those
// can fit into a single char value.
if (StringCaster::UTF_N == 8 && str_len > 1 && str_len <= 4) {
unsigned char v0 = static_cast<unsigned char>(value[0]);
size_t char0_bytes = !(v0 & 0x80) ? 1 : // low bits only: 0-127
(v0 & 0xE0) == 0xC0 ? 2 : // 0b110xxxxx - start of 2-byte sequence
(v0 & 0xF0) == 0xE0 ? 3 : // 0b1110xxxx - start of 3-byte sequence
4; // 0b11110xxx - start of 4-byte sequence
if (char0_bytes == str_len) {
// If we have a 128-255 value, we can decode it into a single char:
if (char0_bytes == 2 && (v0 & 0xFC) == 0xC0) { // 0x110000xx 0x10xxxxxx
one_char = static_cast<CharT>(((v0 & 3) << 6) + (static_cast<unsigned char>(value[1]) & 0x3F));
return one_char;
}
// Otherwise we have a single character, but it's > U+00FF
throw value_error("Character code point not in range(0x100)");
}
}
// UTF-16 is much easier: we can only have a surrogate pair for values above U+FFFF, thus a
// surrogate pair with total length 2 instantly indicates a range error (but not a "your
// string was too long" error).
else if (StringCaster::UTF_N == 16 && str_len == 2) {
one_char = static_cast<CharT>(value[0]);
if (one_char >= 0xD800 && one_char < 0xE000)
throw value_error("Character code point not in range(0x10000)");
}
if (str_len != 1)
throw value_error("Expected a character, but multi-character string found");
one_char = value[0];
return one_char;
}
static constexpr auto name = _(PYBIND11_STRING_NAME);
template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
};
// Base implementation for std::tuple and std::pair
template <template<typename...> class Tuple, typename... Ts> class tuple_caster {
using type = Tuple<Ts...>;
static constexpr auto size = sizeof...(Ts);
using indices = make_index_sequence<size>;
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{});
}
template <typename T>
static handle cast(T &&src, return_value_policy policy, handle parent) {
return cast_impl(std::forward<T>(src), policy, parent, indices{});
}
static constexpr auto name = _("Tuple[") + concat(make_caster<Ts>::name...) + _("]");
template <typename T> using cast_op_type = type;
operator type() & { return implicit_cast(indices{}); }
operator type() && { return std::move(*this).implicit_cast(indices{}); }
protected:
template <size_t... Is>
type implicit_cast(index_sequence<Is...>) & { return type(cast_op<Ts>(std::get<Is>(subcasters))...); }
template <size_t... Is>
type implicit_cast(index_sequence<Is...>) && { return type(cast_op<Ts>(std::move(std::get<Is>(subcasters)))...); }
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>(subcasters).load(seq[Is], convert)...})
if (!r)
return false;
return true;
}
/* Implementation: Convert a C++ tuple into a Python tuple */
template <typename T, size_t... Is>
static handle cast_impl(T &&src, return_value_policy policy, handle parent, index_sequence<Is...>) {
std::array<object, size> entries{{
reinterpret_steal<object>(make_caster<Ts>::cast(std::get<Is>(std::forward<T>(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();
}
Tuple<make_caster<Ts>...> subcasters;
};
template <typename T1, typename T2> class type_caster<std::pair<T1, T2>>
: public tuple_caster<std::pair, T1, T2> {};
template <typename... Ts> class type_caster<std::tuple<Ts...>>
: public tuple_caster<std::tuple, Ts...> {};
/// Helper class which abstracts away certain actions. Users can provide specializations for
/// custom holders, but it's only necessary if the type has a non-standard interface.
template <typename T>
struct holder_helper {
static auto get(const T &p) -> decltype(p.get()) { return p.get(); }
};
/// Type caster for holder types like std::shared_ptr, etc.
template <typename type, typename holder_type>
struct copyable_holder_caster : public type_caster_base<type> {
public:
using base = type_caster_base<type>;
static_assert(std::is_base_of<base, type_caster<type>>::value,
"Holder classes are only supported for custom types");
using base::base;
using base::cast;
using base::typeinfo;
using base::value;
bool load(handle src, bool convert) {
return base::template load_impl<copyable_holder_caster<type, holder_type>>(src, convert);
}
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) {
const auto *ptr = holder_helper<holder_type>::get(src);
return type_caster_base<type>::cast_holder(ptr, &src);
}
protected:
friend class type_caster_generic;
void check_holder_compat() {
if (typeinfo->default_holder)
throw cast_error("Unable to load a custom holder type from a default-holder instance");
}
bool load_value(value_and_holder &&v_h) {
if (v_h.holder_constructed()) {
value = v_h.value_ptr();
holder = v_h.template holder<holder_type>();
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) {
copyable_holder_caster 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;
}
static bool try_direct_conversions(handle) { return false; }
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 copyable_holder_caster<T, std::shared_ptr<T>> { };
template <typename type, typename holder_type>
struct move_only_holder_caster {
static_assert(std::is_base_of<type_caster_base<type>, type_caster<type>>::value,
"Holder classes are only supported for custom types");
static handle cast(holder_type &&src, return_value_policy, handle) {
auto *ptr = holder_helper<holder_type>::get(src);
return type_caster_base<type>::cast_holder(ptr, &src);
}
static constexpr auto name = type_caster_base<type>::name;
};
template <typename type, typename deleter>
class type_caster<std::unique_ptr<type, deleter>>
: public move_only_holder_caster<type, std::unique_ptr<type, deleter>> { };
template <typename type, typename holder_type>
using type_caster_holder = conditional_t<is_copy_constructible<holder_type>::value,
copyable_holder_caster<type, holder_type>,
move_only_holder_caster<type, holder_type>>;
template <typename T, bool Value = false> struct always_construct_holder { static constexpr bool value = Value; };
/// 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> \
struct always_construct_holder<holder_type> : always_construct_holder<void, ##__VA_ARGS__> { }; \
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 constexpr auto name = _<T>(); };
template <> struct handle_type_name<bytes> { static constexpr auto name = _(PYBIND11_BYTES_NAME); };
template <> struct handle_type_name<args> { static constexpr auto name = _("*args"); };
template <> struct handle_type_name<kwargs> { static constexpr auto name = _("**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> using move_is_plain_type = satisfies_none_of<T,
std::is_void, std::is_pointer, std::is_reference, std::is_const
>;
template <typename T, typename SFINAE = void> struct move_always : std::false_type {};
template <typename T> struct move_always<T, enable_if_t<all_of<
move_is_plain_type<T>,
negation<is_copy_constructible<T>>,
std::is_move_constructible<T>,
std::is_same<decltype(std::declval<make_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<all_of<
move_is_plain_type<T>,
negation<move_always<T>>,
std::is_move_constructible<T>,
std::is_same<decltype(std::declval<make_caster<T>>().operator T&()), T&>
>::value>> : std::true_type {};
template <typename T> using move_never = none_of<move_always<T>, move_if_unreferenced<T>>;
// 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
>;
// When a value returned from a C++ function is being cast back to Python, we almost always want to
// force `policy = move`, regardless of the return value policy the function/method was declared
// with. Some classes (most notably Eigen::Ref and related) need to avoid this, and so can do so by
// specializing this struct.
template <typename Return, typename SFINAE = void> struct return_value_policy_override {
static return_value_policy policy(return_value_policy p) {
return !std::is_lvalue_reference<Return>::value && !std::is_pointer<Return>::value
? return_value_policy::move : p;
}
};
// 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_never<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_) {
constexpr 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 (size_t i = 0; i < args.size(); i++) {
if (!args[i]) {
#if defined(NDEBUG)
throw cast_error("make_tuple(): unable to convert arguments to Python object (compile in debug mode for details)");
#else
std::array<std::string, size> argtypes { {type_id<Args>()...} };
throw cast_error("make_tuple(): unable to convert argument of type '" +
argtypes[i] + "' 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;
}
/// \ingroup annotations
/// Annotation for arguments
struct arg {
/// Constructs an argument with the name of the argument; if null or omitted, this is a positional argument.
constexpr explicit arg(const char *name = nullptr) : name(name), flag_noconvert(false), flag_none(true) { }
/// Assign a value to this argument
template <typename T> arg_v operator=(T &&value) const;
/// Indicate that the type should not be converted in the type caster
arg &noconvert(bool flag = true) { flag_noconvert = flag; return *this; }
/// Indicates that the argument should/shouldn't allow None (e.g. for nullable pointer args)
arg &none(bool flag = true) { flag_none = flag; return *this; }
const char *name; ///< If non-null, this is a named kwargs argument
bool flag_noconvert : 1; ///< If set, do not allow conversion (requires a supporting type caster!)
bool flag_none : 1; ///< If set (the default), allow None to be passed to this argument
};
/// \ingroup annotations
/// Annotation for arguments with values
struct arg_v : arg {
private:
template <typename T>
arg_v(arg &&base, T &&x, const char *descr = nullptr)
: arg(base),
value(reinterpret_steal<object>(
detail::make_caster<T>::cast(x, return_value_policy::automatic, {})
)),
descr(descr)
#if !defined(NDEBUG)
, type(type_id<T>())
#endif
{ }
public:
/// Direct construction with name, default, and description
template <typename T>
arg_v(const char *name, T &&x, const char *descr = nullptr)
: arg_v(arg(name), std::forward<T>(x), descr) { }
/// Called internally when invoking `py::arg("a") = value`
template <typename T>
arg_v(const arg &base, T &&x, const char *descr = nullptr)
: arg_v(arg(base), std::forward<T>(x), descr) { }
/// Same as `arg::noconvert()`, but returns *this as arg_v&, not arg&
arg_v &noconvert(bool flag = true) { arg::noconvert(flag); return *this; }
/// Same as `arg::nonone()`, but returns *this as arg_v&, not arg&
arg_v &none(bool flag = true) { arg::none(flag); return *this; }
/// The default value
object value;
/// The (optional) description of the default value
const char *descr;
#if !defined(NDEBUG)
/// The C++ type name of the default value (only available when compiled in debug mode)
std::string type;
#endif
};
template <typename T>
arg_v arg::operator=(T &&value) const { return {std::move(*this), 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 {
/** \rst
String literal version of `arg`
\endrst */
constexpr arg operator"" _a(const char *name, size_t) { return arg(name); }
}
NAMESPACE_BEGIN(detail)
// forward declaration (definition in attr.h)
struct function_record;
/// Internal data associated with a single function call
struct function_call {
function_call(function_record &f, handle p); // Implementation in attr.h
/// The function data:
const function_record &func;
/// Arguments passed to the function:
std::vector<handle> args;
/// The `convert` value the arguments should be loaded with
std::vector<bool> args_convert;
/// The parent, if any
handle parent;
/// If this is a call to an initializer, this argument contains `self`
handle init_self;
};
/// Helper class which loads arguments for C++ functions called from Python
template <typename... Args>
class argument_loader {
using indices = make_index_sequence<sizeof...(Args)>;
template <typename Arg> using argument_is_args = std::is_same<intrinsic_t<Arg>, args>;
template <typename Arg> using argument_is_kwargs = std::is_same<intrinsic_t<Arg>, kwargs>;
// Get args/kwargs argument positions relative to the end of the argument list:
static constexpr auto args_pos = constexpr_first<argument_is_args, Args...>() - (int) sizeof...(Args),
kwargs_pos = constexpr_first<argument_is_kwargs, Args...>() - (int) sizeof...(Args);
static constexpr bool args_kwargs_are_last = kwargs_pos >= - 1 && args_pos >= kwargs_pos - 1;
static_assert(args_kwargs_are_last, "py::args/py::kwargs are only permitted as the last argument(s) of a function");
public:
static constexpr bool has_kwargs = kwargs_pos < 0;
static constexpr bool has_args = args_pos < 0;
static constexpr auto arg_names = concat(type_descr(make_caster<Args>::name)...);
bool load_args(function_call &call) {
return load_impl_sequence(call, indices{});
}
template <typename Return, typename Guard, typename Func>
enable_if_t<!std::is_void<Return>::value, Return> call(Func &&f) && {
return std::move(*this).template call_impl<Return>(std::forward<Func>(f), indices{}, Guard{});
}
template <typename Return, typename Guard, typename Func>
enable_if_t<std::is_void<Return>::value, void_type> call(Func &&f) && {
std::move(*this).template call_impl<Return>(std::forward<Func>(f), indices{}, Guard{});
return void_type();
}
private:
static bool load_impl_sequence(function_call &, index_sequence<>) { return true; }
template <size_t... Is>
bool load_impl_sequence(function_call &call, index_sequence<Is...>) {
for (bool r : {std::get<Is>(argcasters).load(call.args[Is], call.args_convert[Is])...})
if (!r)
return false;
return true;
}
template <typename Return, typename Func, size_t... Is, typename Guard>
Return call_impl(Func &&f, index_sequence<Is...>, Guard &&) {
return std::forward<Func>(f)(cast_op<Args>(std::move(std::get<Is>(argcasters)))...);
}
std::tuple<make_caster<Args>...> argcasters;
};
/// 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 (!a.name)
#if defined(NDEBUG)
nameless_argument_error();
#else
nameless_argument_error(a.type);
#endif
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 nameless_argument_error() {
throw type_error("Got kwargs without a name; only named arguments "
"may be passed via py::arg() to a python function call. "
"(compile in debug mode for details)");
}
[[noreturn]] static void nameless_argument_error(std::string type) {
throw type_error("Got kwargs without a name of type '" + type + "'; only named "
"arguments may be passed via py::arg() to a python function call. ");
}
[[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<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<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_NAMESPACE)
dlib/external/pybind11/include/pybind11/chrono.h 0 → 100644
View file @ 077a3b60
/*
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)
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>;
auto dd = duration_cast<dd_t>(d);
auto subd = d - dd;
auto ss = duration_cast<ss_t>(subd);
auto us = duration_cast<us_t>(subd - ss);
return PyDelta_FromDSU(dd.count(), ss.count(), us.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_NAMESPACE)
dlib/external/pybind11/include/pybind11/common.h 0 → 100644
View file @ 077a3b60
#include "detail/common.h"
#warning "Including 'common.h' is deprecated. It will be removed in v3.0. Use 'pybind11.h'."
dlib/external/pybind11/include/pybind11/complex.h 0 → 100644
View file @ 077a3b60
/*
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_NAMESPACE)
template <typename T> struct format_descriptor<std::complex<T>, detail::enable_if_t<std::is_floating_point<T>::value>> {
static constexpr const char c = format_descriptor<T>::c;
static constexpr const char value[3] = { 'Z', c, '\0' };
static std::string format() { return std::string(value); }
};
#ifndef PYBIND11_CPP17
template <typename T> constexpr const char format_descriptor<
std::complex<T>, detail::enable_if_t<std::is_floating_point<T>::value>>::value[3];
#endif
NAMESPACE_BEGIN(detail)
template <typename T> struct is_fmt_numeric<std::complex<T>, detail::enable_if_t<std::is_floating_point<T>::value>> {
static constexpr bool value = true;
static constexpr int index = is_fmt_numeric<T>::index + 3;
};
template <typename T> class type_caster<std::complex<T>> {
public:
bool load(handle src, bool convert) {
if (!src)
return false;
if (!convert && !PyComplex_Check(src.ptr()))
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_NAMESPACE)
dlib/external/pybind11/include/pybind11/detail/class.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/class.h: Python C API implementation details for py::class_
Copyright (c) 2017 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 "../attr.h"
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
NAMESPACE_BEGIN(detail)
#if PY_VERSION_HEX >= 0x03030000
# define PYBIND11_BUILTIN_QUALNAME
# define PYBIND11_SET_OLDPY_QUALNAME(obj, nameobj)
#else
// In pre-3.3 Python, we still set __qualname__ so that we can produce reliable function type
// signatures; in 3.3+ this macro expands to nothing:
# define PYBIND11_SET_OLDPY_QUALNAME(obj, nameobj) setattr((PyObject *) obj, "__qualname__", nameobj)
#endif
inline PyTypeObject *type_incref(PyTypeObject *type) {
Py_INCREF(type);
return type;
}
#if !defined(PYPY_VERSION)
/// `pybind11_static_property.__get__()`: Always pass the class instead of the instance.
extern "C" inline PyObject *pybind11_static_get(PyObject *self, PyObject * /*ob*/, PyObject *cls) {
return PyProperty_Type.tp_descr_get(self, cls, cls);
}
/// `pybind11_static_property.__set__()`: Just like the above `__get__()`.
extern "C" inline int pybind11_static_set(PyObject *self, PyObject *obj, PyObject *value) {
PyObject *cls = PyType_Check(obj) ? obj : (PyObject *) Py_TYPE(obj);
return PyProperty_Type.tp_descr_set(self, cls, value);
}
/** A `static_property` is the same as a `property` but the `__get__()` and `__set__()`
methods are modified to always use the object type instead of a concrete instance.
Return value: New reference. */
inline PyTypeObject *make_static_property_type() {
constexpr auto *name = "pybind11_static_property";
auto name_obj = reinterpret_steal<object>(PYBIND11_FROM_STRING(name));
/* 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 heap_type = (PyHeapTypeObject *) PyType_Type.tp_alloc(&PyType_Type, 0);
if (!heap_type)
pybind11_fail("make_static_property_type(): error allocating type!");
heap_type->ht_name = name_obj.inc_ref().ptr();
#ifdef PYBIND11_BUILTIN_QUALNAME
heap_type->ht_qualname = name_obj.inc_ref().ptr();
#endif
auto type = &heap_type->ht_type;
type->tp_name = name;
type->tp_base = type_incref(&PyProperty_Type);
type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HEAPTYPE;
type->tp_descr_get = pybind11_static_get;
type->tp_descr_set = pybind11_static_set;
if (PyType_Ready(type) < 0)
pybind11_fail("make_static_property_type(): failure in PyType_Ready()!");
setattr((PyObject *) type, "__module__", str("pybind11_builtins"));
PYBIND11_SET_OLDPY_QUALNAME(type, name_obj);
return type;
}
#else // PYPY
/** PyPy has some issues with the above C API, so we evaluate Python code instead.
This function will only be called once so performance isn't really a concern.
Return value: New reference. */
inline PyTypeObject *make_static_property_type() {
auto d = dict();
PyObject *result = PyRun_String(R"(\
class pybind11_static_property(property):
def __get__(self, obj, cls):
return property.__get__(self, cls, cls)
def __set__(self, obj, value):
cls = obj if isinstance(obj, type) else type(obj)
property.__set__(self, cls, value)
)", Py_file_input, d.ptr(), d.ptr()
);
if (result == nullptr)
throw error_already_set();
Py_DECREF(result);
return (PyTypeObject *) d["pybind11_static_property"].cast<object>().release().ptr();
}
#endif // PYPY
/** Types with static properties need to handle `Type.static_prop = x` in a specific way.
By default, Python replaces the `static_property` itself, but for wrapped C++ types
we need to call `static_property.__set__()` in order to propagate the new value to
the underlying C++ data structure. */
extern "C" inline int pybind11_meta_setattro(PyObject* obj, PyObject* name, PyObject* value) {
// Use `_PyType_Lookup()` instead of `PyObject_GetAttr()` in order to get the raw
// descriptor (`property`) instead of calling `tp_descr_get` (`property.__get__()`).
PyObject *descr = _PyType_Lookup((PyTypeObject *) obj, name);
// The following assignment combinations are possible:
// 1. `Type.static_prop = value` --> descr_set: `Type.static_prop.__set__(value)`
// 2. `Type.static_prop = other_static_prop` --> setattro: replace existing `static_prop`
// 3. `Type.regular_attribute = value` --> setattro: regular attribute assignment
const auto static_prop = (PyObject *) get_internals().static_property_type;
const auto call_descr_set = descr && PyObject_IsInstance(descr, static_prop)
&& !PyObject_IsInstance(value, static_prop);
if (call_descr_set) {
// Call `static_property.__set__()` instead of replacing the `static_property`.
#if !defined(PYPY_VERSION)
return Py_TYPE(descr)->tp_descr_set(descr, obj, value);
#else
if (PyObject *result = PyObject_CallMethod(descr, "__set__", "OO", obj, value)) {
Py_DECREF(result);
return 0;
} else {
return -1;
}
#endif
} else {
// Replace existing attribute.
return PyType_Type.tp_setattro(obj, name, value);
}
}
#if PY_MAJOR_VERSION >= 3
/**
* Python 3's PyInstanceMethod_Type hides itself via its tp_descr_get, which prevents aliasing
* methods via cls.attr("m2") = cls.attr("m1"): instead the tp_descr_get returns a plain function,
* when called on a class, or a PyMethod, when called on an instance. Override that behaviour here
* to do a special case bypass for PyInstanceMethod_Types.
*/
extern "C" inline PyObject *pybind11_meta_getattro(PyObject *obj, PyObject *name) {
PyObject *descr = _PyType_Lookup((PyTypeObject *) obj, name);
if (descr && PyInstanceMethod_Check(descr)) {
Py_INCREF(descr);
return descr;
}
else {
return PyType_Type.tp_getattro(obj, name);
}
}
#endif
/** This metaclass is assigned by default to all pybind11 types and is required in order
for static properties to function correctly. Users may override this using `py::metaclass`.
Return value: New reference. */
inline PyTypeObject* make_default_metaclass() {
constexpr auto *name = "pybind11_type";
auto name_obj = reinterpret_steal<object>(PYBIND11_FROM_STRING(name));
/* 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 heap_type = (PyHeapTypeObject *) PyType_Type.tp_alloc(&PyType_Type, 0);
if (!heap_type)
pybind11_fail("make_default_metaclass(): error allocating metaclass!");
heap_type->ht_name = name_obj.inc_ref().ptr();
#ifdef PYBIND11_BUILTIN_QUALNAME
heap_type->ht_qualname = name_obj.inc_ref().ptr();
#endif
auto type = &heap_type->ht_type;
type->tp_name = name;
type->tp_base = type_incref(&PyType_Type);
type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HEAPTYPE;
type->tp_setattro = pybind11_meta_setattro;
#if PY_MAJOR_VERSION >= 3
type->tp_getattro = pybind11_meta_getattro;
#endif
if (PyType_Ready(type) < 0)
pybind11_fail("make_default_metaclass(): failure in PyType_Ready()!");
setattr((PyObject *) type, "__module__", str("pybind11_builtins"));
PYBIND11_SET_OLDPY_QUALNAME(type, name_obj);
return type;
}
/// For multiple inheritance types we need to recursively register/deregister base pointers for any
/// base classes with pointers that are difference from the instance value pointer so that we can
/// correctly recognize an offset base class pointer. This calls a function with any offset base ptrs.
inline void traverse_offset_bases(void *valueptr, const detail::type_info *tinfo, instance *self,
bool (*f)(void * /*parentptr*/, instance * /*self*/)) {
for (handle h : reinterpret_borrow<tuple>(tinfo->type->tp_bases)) {
if (auto parent_tinfo = get_type_info((PyTypeObject *) h.ptr())) {
for (auto &c : parent_tinfo->implicit_casts) {
if (c.first == tinfo->cpptype) {
auto *parentptr = c.second(valueptr);
if (parentptr != valueptr)
f(parentptr, self);
traverse_offset_bases(parentptr, parent_tinfo, self, f);
break;
}
}
}
}
}
inline bool register_instance_impl(void *ptr, instance *self) {
get_internals().registered_instances.emplace(ptr, self);
return true; // unused, but gives the same signature as the deregister func
}
inline bool deregister_instance_impl(void *ptr, instance *self) {
auto &registered_instances = get_internals().registered_instances;
auto range = registered_instances.equal_range(ptr);
for (auto it = range.first; it != range.second; ++it) {
if (Py_TYPE(self) == Py_TYPE(it->second)) {
registered_instances.erase(it);
return true;
}
}
return false;
}
inline void register_instance(instance *self, void *valptr, const type_info *tinfo) {
register_instance_impl(valptr, self);
if (!tinfo->simple_ancestors)
traverse_offset_bases(valptr, tinfo, self, register_instance_impl);
}
inline bool deregister_instance(instance *self, void *valptr, const type_info *tinfo) {
bool ret = deregister_instance_impl(valptr, self);
if (!tinfo->simple_ancestors)
traverse_offset_bases(valptr, tinfo, self, deregister_instance_impl);
return ret;
}
/// Instance creation function for all pybind11 types. It allocates the internal instance layout for
/// holding C++ objects and holders. Allocation is done lazily (the first time the instance is cast
/// to a reference or pointer), and initialization is done by an `__init__` function.
inline PyObject *make_new_instance(PyTypeObject *type) {
#if defined(PYPY_VERSION)
// PyPy gets tp_basicsize wrong (issue 2482) under multiple inheritance when the first inherited
// object is a a plain Python type (i.e. not derived from an extension type). Fix it.
ssize_t instance_size = static_cast<ssize_t>(sizeof(instance));
if (type->tp_basicsize < instance_size) {
type->tp_basicsize = instance_size;
}
#endif
PyObject *self = type->tp_alloc(type, 0);
auto inst = reinterpret_cast<instance *>(self);
// Allocate the value/holder internals:
inst->allocate_layout();
inst->owned = true;
return self;
}
/// Instance creation function for all pybind11 types. It only allocates space for the
/// C++ object, but doesn't call the constructor -- an `__init__` function must do that.
extern "C" inline PyObject *pybind11_object_new(PyTypeObject *type, PyObject *, PyObject *) {
return make_new_instance(type);
}
/// An `__init__` function constructs the C++ object. Users should provide at least one
/// of these using `py::init` or directly with `.def(__init__, ...)`. Otherwise, the
/// following default function will be used which simply throws an exception.
extern "C" inline int pybind11_object_init(PyObject *self, PyObject *, PyObject *) {
PyTypeObject *type = Py_TYPE(self);
std::string msg;
#if defined(PYPY_VERSION)
msg += handle((PyObject *) type).attr("__module__").cast<std::string>() + ".";
#endif
msg += type->tp_name;
msg += ": No constructor defined!";
PyErr_SetString(PyExc_TypeError, msg.c_str());
return -1;
}
inline void add_patient(PyObject *nurse, PyObject *patient) {
auto &internals = get_internals();
auto instance = reinterpret_cast<detail::instance *>(nurse);
instance->has_patients = true;
Py_INCREF(patient);
internals.patients[nurse].push_back(patient);
}
inline void clear_patients(PyObject *self) {
auto instance = reinterpret_cast<detail::instance *>(self);
auto &internals = get_internals();
auto pos = internals.patients.find(self);
assert(pos != internals.patients.end());
// Clearing the patients can cause more Python code to run, which
// can invalidate the iterator. Extract the vector of patients
// from the unordered_map first.
auto patients = std::move(pos->second);
internals.patients.erase(pos);
instance->has_patients = false;
for (PyObject *&patient : patients)
Py_CLEAR(patient);
}
/// Clears all internal data from the instance and removes it from registered instances in
/// preparation for deallocation.
inline void clear_instance(PyObject *self) {
auto instance = reinterpret_cast<detail::instance *>(self);
// Deallocate any values/holders, if present:
for (auto &v_h : values_and_holders(instance)) {
if (v_h) {
// We have to deregister before we call dealloc because, for virtual MI types, we still
// need to be able to get the parent pointers.
if (v_h.instance_registered() && !deregister_instance(instance, v_h.value_ptr(), v_h.type))
pybind11_fail("pybind11_object_dealloc(): Tried to deallocate unregistered instance!");
if (instance->owned || v_h.holder_constructed())
v_h.type->dealloc(v_h);
}
}
// Deallocate the value/holder layout internals:
instance->deallocate_layout();
if (instance->weakrefs)
PyObject_ClearWeakRefs(self);
PyObject **dict_ptr = _PyObject_GetDictPtr(self);
if (dict_ptr)
Py_CLEAR(*dict_ptr);
if (instance->has_patients)
clear_patients(self);
}
/// Instance destructor function for all pybind11 types. It calls `type_info.dealloc`
/// to destroy the C++ object itself, while the rest is Python bookkeeping.
extern "C" inline void pybind11_object_dealloc(PyObject *self) {
clear_instance(self);
auto type = Py_TYPE(self);
type->tp_free(self);
// `type->tp_dealloc != pybind11_object_dealloc` means that we're being called
// as part of a derived type's dealloc, in which case we're not allowed to decref
// the type here. For cross-module compatibility, we shouldn't compare directly
// with `pybind11_object_dealloc`, but with the common one stashed in internals.
auto pybind11_object_type = (PyTypeObject *) get_internals().instance_base;
if (type->tp_dealloc == pybind11_object_type->tp_dealloc)
Py_DECREF(type);
}
/** Create the type which can be used as a common base for all classes. This is
needed in order to satisfy Python's requirements for multiple inheritance.
Return value: New reference. */
inline PyObject *make_object_base_type(PyTypeObject *metaclass) {
constexpr auto *name = "pybind11_object";
auto name_obj = reinterpret_steal<object>(PYBIND11_FROM_STRING(name));
/* 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 heap_type = (PyHeapTypeObject *) metaclass->tp_alloc(metaclass, 0);
if (!heap_type)
pybind11_fail("make_object_base_type(): error allocating type!");
heap_type->ht_name = name_obj.inc_ref().ptr();
#ifdef PYBIND11_BUILTIN_QUALNAME
heap_type->ht_qualname = name_obj.inc_ref().ptr();
#endif
auto type = &heap_type->ht_type;
type->tp_name = name;
type->tp_base = type_incref(&PyBaseObject_Type);
type->tp_basicsize = static_cast<ssize_t>(sizeof(instance));
type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HEAPTYPE;
type->tp_new = pybind11_object_new;
type->tp_init = pybind11_object_init;
type->tp_dealloc = pybind11_object_dealloc;
/* Support weak references (needed for the keep_alive feature) */
type->tp_weaklistoffset = offsetof(instance, weakrefs);
if (PyType_Ready(type) < 0)
pybind11_fail("PyType_Ready failed in make_object_base_type():" + error_string());
setattr((PyObject *) type, "__module__", str("pybind11_builtins"));
PYBIND11_SET_OLDPY_QUALNAME(type, name_obj);
assert(!PyType_HasFeature(type, Py_TPFLAGS_HAVE_GC));
return (PyObject *) heap_type;
}
/// dynamic_attr: Support for `d = instance.__dict__`.
extern "C" inline PyObject *pybind11_get_dict(PyObject *self, void *) {
PyObject *&dict = *_PyObject_GetDictPtr(self);
if (!dict)
dict = PyDict_New();
Py_XINCREF(dict);
return dict;
}
/// dynamic_attr: Support for `instance.__dict__ = dict()`.
extern "C" inline int pybind11_set_dict(PyObject *self, 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(self);
Py_INCREF(new_dict);
Py_CLEAR(dict);
dict = new_dict;
return 0;
}
/// dynamic_attr: Allow the garbage collector to traverse the internal instance `__dict__`.
extern "C" inline int pybind11_traverse(PyObject *self, visitproc visit, void *arg) {
PyObject *&dict = *_PyObject_GetDictPtr(self);
Py_VISIT(dict);
return 0;
}
/// dynamic_attr: Allow the GC to clear the dictionary.
extern "C" inline int pybind11_clear(PyObject *self) {
PyObject *&dict = *_PyObject_GetDictPtr(self);
Py_CLEAR(dict);
return 0;
}
/// Give instances of this type a `__dict__` and opt into garbage collection.
inline void enable_dynamic_attributes(PyHeapTypeObject *heap_type) {
auto type = &heap_type->ht_type;
#if defined(PYPY_VERSION)
pybind11_fail(std::string(type->tp_name) + ": dynamic attributes are "
"currently not supported in "
"conjunction with PyPy!");
#endif
type->tp_flags |= Py_TPFLAGS_HAVE_GC;
type->tp_dictoffset = type->tp_basicsize; // place dict at the end
type->tp_basicsize += (ssize_t)sizeof(PyObject *); // and allocate enough space for it
type->tp_traverse = pybind11_traverse;
type->tp_clear = pybind11_clear;
static PyGetSetDef getset[] = {
{const_cast<char*>("__dict__"), pybind11_get_dict, pybind11_set_dict, nullptr, nullptr},
{nullptr, nullptr, nullptr, nullptr, nullptr}
};
type->tp_getset = getset;
}
/// buffer_protocol: Fill in the view as specified by flags.
extern "C" inline int pybind11_getbuffer(PyObject *obj, Py_buffer *view, int flags) {
// Look for a `get_buffer` implementation in this type's info or any bases (following MRO).
type_info *tinfo = nullptr;
for (auto type : reinterpret_borrow<tuple>(Py_TYPE(obj)->tp_mro)) {
tinfo = get_type_info((PyTypeObject *) type.ptr());
if (tinfo && tinfo->get_buffer)
break;
}
if (view == nullptr || obj == nullptr || !tinfo || !tinfo->get_buffer) {
if (view)
view->obj = nullptr;
PyErr_SetString(PyExc_BufferError, "pybind11_getbuffer(): Internal error");
return -1;
}
std::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 = 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 = &info->strides[0];
view->shape = &info->shape[0];
}
Py_INCREF(view->obj);
return 0;
}
/// buffer_protocol: Release the resources of the buffer.
extern "C" inline void pybind11_releasebuffer(PyObject *, Py_buffer *view) {
delete (buffer_info *) view->internal;
}
/// Give this type a buffer interface.
inline void enable_buffer_protocol(PyHeapTypeObject *heap_type) {
heap_type->ht_type.tp_as_buffer = &heap_type->as_buffer;
#if PY_MAJOR_VERSION < 3
heap_type->ht_type.tp_flags |= Py_TPFLAGS_HAVE_NEWBUFFER;
#endif
heap_type->as_buffer.bf_getbuffer = pybind11_getbuffer;
heap_type->as_buffer.bf_releasebuffer = pybind11_releasebuffer;
}
/** Create a brand new Python type according to the `type_record` specification.
Return value: New reference. */
inline PyObject* make_new_python_type(const type_record &rec) {
auto name = reinterpret_steal<object>(PYBIND11_FROM_STRING(rec.name));
auto qualname = name;
if (rec.scope && !PyModule_Check(rec.scope.ptr()) && hasattr(rec.scope, "__qualname__")) {
#if PY_MAJOR_VERSION >= 3
qualname = reinterpret_steal<object>(
PyUnicode_FromFormat("%U.%U", rec.scope.attr("__qualname__").ptr(), name.ptr()));
#else
qualname = str(rec.scope.attr("__qualname__").cast<std::string>() + "." + rec.name);
#endif
}
object module;
if (rec.scope) {
if (hasattr(rec.scope, "__module__"))
module = rec.scope.attr("__module__");
else if (hasattr(rec.scope, "__name__"))
module = rec.scope.attr("__name__");
}
auto full_name = c_str(
#if !defined(PYPY_VERSION)
module ? str(module).cast<std::string>() + "." + rec.name :
#endif
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);
}
auto &internals = get_internals();
auto bases = tuple(rec.bases);
auto base = (bases.size() == 0) ? internals.instance_base
: bases[0].ptr();
/* 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 metaclass = rec.metaclass.ptr() ? (PyTypeObject *) rec.metaclass.ptr()
: internals.default_metaclass;
auto heap_type = (PyHeapTypeObject *) metaclass->tp_alloc(metaclass, 0);
if (!heap_type)
pybind11_fail(std::string(rec.name) + ": Unable to create type object!");
heap_type->ht_name = name.release().ptr();
#ifdef PYBIND11_BUILTIN_QUALNAME
heap_type->ht_qualname = qualname.inc_ref().ptr();
#endif
auto type = &heap_type->ht_type;
type->tp_name = full_name;
type->tp_doc = tp_doc;
type->tp_base = type_incref((PyTypeObject *)base);
type->tp_basicsize = static_cast<ssize_t>(sizeof(instance));
if (bases.size() > 0)
type->tp_bases = bases.release().ptr();
/* Don't inherit base __init__ */
type->tp_init = pybind11_object_init;
/* Supported protocols */
type->tp_as_number = &heap_type->as_number;
type->tp_as_sequence = &heap_type->as_sequence;
type->tp_as_mapping = &heap_type->as_mapping;
/* Flags */
type->tp_flags |= Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HEAPTYPE;
#if PY_MAJOR_VERSION < 3
type->tp_flags |= Py_TPFLAGS_CHECKTYPES;
#endif
if (rec.dynamic_attr)
enable_dynamic_attributes(heap_type);
if (rec.buffer_protocol)
enable_buffer_protocol(heap_type);
if (PyType_Ready(type) < 0)
pybind11_fail(std::string(rec.name) + ": PyType_Ready failed (" + error_string() + ")!");
assert(rec.dynamic_attr ? PyType_HasFeature(type, Py_TPFLAGS_HAVE_GC)
: !PyType_HasFeature(type, Py_TPFLAGS_HAVE_GC));
/* Register type with the parent scope */
if (rec.scope)
setattr(rec.scope, rec.name, (PyObject *) type);
else
Py_INCREF(type); // Keep it alive forever (reference leak)
if (module) // Needed by pydoc
setattr((PyObject *) type, "__module__", module);
PYBIND11_SET_OLDPY_QUALNAME(type, qualname);
return (PyObject *) type;
}
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/detail/common.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/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
// Robust support for some features and loading modules compiled against different pybind versions
// requires forcing hidden visibility on pybind code, so we enforce this by setting the attribute on
// the main `pybind11` namespace.
#if !defined(PYBIND11_NAMESPACE)
# ifdef __GNUG__
# define PYBIND11_NAMESPACE pybind11 __attribute__((visibility("hidden")))
# else
# define PYBIND11_NAMESPACE pybind11
# endif
#endif
#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
#elif defined(_MSC_VER)
// MSVC sets _MSVC_LANG rather than __cplusplus (supposedly until the standard is fully implemented)
# if _MSVC_LANG >= 201402L
# define PYBIND11_CPP14
# if _MSVC_LANG > 201402L && _MSC_VER >= 1910
# define PYBIND11_CPP17
# endif
# endif
#endif
// Compiler version assertions
#if defined(__INTEL_COMPILER)
# if __INTEL_COMPILER < 1500
# error pybind11 requires Intel C++ compiler v15 or newer
# endif
#elif defined(__clang__) && !defined(__apple_build_version__)
# if __clang_major__ < 3 || (__clang_major__ == 3 && __clang_minor__ < 3)
# error pybind11 requires clang 3.3 or newer
# endif
#elif defined(__clang__)
// Apple changes clang version macros to its Xcode version; the first Xcode release based on
// (upstream) clang 3.3 was Xcode 5:
# if __clang_major__ < 5
# error pybind11 requires Xcode/clang 5.0 or newer
# endif
#elif defined(__GNUG__)
# if __GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 8)
# error pybind11 requires gcc 4.8 or newer
# endif
#elif defined(_MSC_VER)
// Pybind hits various compiler bugs in 2015u2 and earlier, and also makes use of some stl features
// (e.g. std::negation) added in 2015u3:
# if _MSC_FULL_VER < 190024210
# error pybind11 requires MSVC 2015 update 3 or newer
# 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)]]
#else
# define PYBIND11_DEPRECATED(reason) __attribute__((deprecated(reason)))
#endif
#define PYBIND11_VERSION_MAJOR 2
#define PYBIND11_VERSION_MINOR 3
#define PYBIND11_VERSION_PATCH dev0
/// Include Python header, disable linking to pythonX_d.lib on Windows in debug mode
#if defined(_MSC_VER)
# if (PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION < 4)
# define HAVE_ROUND 1
# endif
# pragma warning(push)
# pragma warning(disable: 4510 4610 4512 4005)
# if defined(_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 <cstring>
#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_INSTANCE_METHOD_CHECK PyInstanceMethod_Check
#define PYBIND11_INSTANCE_METHOD_GET_FUNCTION PyInstanceMethod_GET_FUNCTION
#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_BYTES_SIZE PyBytes_Size
#define PYBIND11_LONG_CHECK(o) PyLong_Check(o)
#define PYBIND11_LONG_AS_LONGLONG(o) PyLong_AsLongLong(o)
#define PYBIND11_LONG_FROM_SIGNED(o) PyLong_FromSsize_t((ssize_t) o)
#define PYBIND11_LONG_FROM_UNSIGNED(o) PyLong_FromSize_t((size_t) 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_BOOL_ATTR "__bool__"
#define PYBIND11_NB_BOOL(ptr) ((ptr)->nb_bool)
#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_INSTANCE_METHOD_CHECK PyMethod_Check
#define PYBIND11_INSTANCE_METHOD_GET_FUNCTION PyMethod_GET_FUNCTION
#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_BYTES_SIZE PyString_Size
#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_FROM_SIGNED(o) PyInt_FromSsize_t((ssize_t) o) // Returns long if needed.
#define PYBIND11_LONG_FROM_UNSIGNED(o) PyInt_FromSize_t((size_t) o) // Returns long if needed.
#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_BOOL_ATTR "__nonzero__"
#define PYBIND11_NB_BOOL(ptr) ((ptr)->nb_nonzero)
#define PYBIND11_PLUGIN_IMPL(name) \
static PyObject *pybind11_init_wrapper(); \
extern "C" PYBIND11_EXPORT void init##name() { \
(void)pybind11_init_wrapper(); \
} \
PyObject *pybind11_init_wrapper()
#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_CONCAT(first, second) first##second
/** \rst
***Deprecated in favor of PYBIND11_MODULE***
This macro creates the entry point that will be invoked when the Python interpreter
imports a plugin library. Please create a `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();
}
\endrst */
#define PYBIND11_PLUGIN(name) \
PYBIND11_DEPRECATED("PYBIND11_PLUGIN is deprecated, use PYBIND11_MODULE") \
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 (pybind11::error_already_set &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} catch (const std::exception &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} \
} \
PyObject *pybind11_init()
/** \rst
This macro creates the entry point that will be invoked when the Python interpreter
imports an extension module. The module name is given as the fist argument and it
should not be in quotes. The second macro argument defines a variable of type
`py::module` which can be used to initialize the module.
.. code-block:: cpp
PYBIND11_MODULE(example, m) {
m.doc() = "pybind11 example module";
// Add bindings here
m.def("foo", []() {
return "Hello, World!";
});
}
\endrst */
#define PYBIND11_MODULE(name, variable) \
static void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &); \
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; \
} \
auto m = pybind11::module(PYBIND11_TOSTRING(name)); \
try { \
PYBIND11_CONCAT(pybind11_init_, name)(m); \
return m.ptr(); \
} catch (pybind11::error_already_set &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} catch (const std::exception &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} \
} \
void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &variable)
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
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
};
NAMESPACE_BEGIN(detail)
inline static constexpr int log2(size_t n, int k = 0) { return (n <= 1) ? k : log2(n >> 1, k + 1); }
// Returns the size as a multiple of sizeof(void *), rounded up.
inline static constexpr size_t size_in_ptrs(size_t s) { return 1 + ((s - 1) >> log2(sizeof(void *))); }
/**
* The space to allocate for simple layout instance holders (see below) in multiple of the size of
* a pointer (e.g. 2 means 16 bytes on 64-bit architectures). The default is the minimum required
* to holder either a std::unique_ptr or std::shared_ptr (which is almost always
* sizeof(std::shared_ptr<T>)).
*/
constexpr size_t instance_simple_holder_in_ptrs() {
static_assert(sizeof(std::shared_ptr<int>) >= sizeof(std::unique_ptr<int>),
"pybind assumes std::shared_ptrs are at least as big as std::unique_ptrs");
return size_in_ptrs(sizeof(std::shared_ptr<int>));
}
// Forward declarations
struct type_info;
struct value_and_holder;
/// The 'instance' type which needs to be standard layout (need to be able to use 'offsetof')
struct instance {
PyObject_HEAD
/// Storage for pointers and holder; see simple_layout, below, for a description
union {
void *simple_value_holder[1 + instance_simple_holder_in_ptrs()];
struct {
void **values_and_holders;
uint8_t *status;
} nonsimple;
};
/// Weak references
PyObject *weakrefs;
/// If true, the pointer is owned which means we're free to manage it with a holder.
bool owned : 1;
/**
* An instance has two possible value/holder layouts.
*
* Simple layout (when this flag is true), means the `simple_value_holder` is set with a pointer
* and the holder object governing that pointer, i.e. [val1*][holder]. This layout is applied
* whenever there is no python-side multiple inheritance of bound C++ types *and* the type's
* holder will fit in the default space (which is large enough to hold either a std::unique_ptr
* or std::shared_ptr).
*
* Non-simple layout applies when using custom holders that require more space than `shared_ptr`
* (which is typically the size of two pointers), or when multiple inheritance is used on the
* python side. Non-simple layout allocates the required amount of memory to have multiple
* bound C++ classes as parents. Under this layout, `nonsimple.values_and_holders` is set to a
* pointer to allocated space of the required space to hold a sequence of value pointers and
* holders followed `status`, a set of bit flags (1 byte each), i.e.
* [val1*][holder1][val2*][holder2]...[bb...] where each [block] is rounded up to a multiple of
* `sizeof(void *)`. `nonsimple.status` is, for convenience, a pointer to the
* beginning of the [bb...] block (but not independently allocated).
*
* Status bits indicate whether the associated holder is constructed (&
* status_holder_constructed) and whether the value pointer is registered (&
* status_instance_registered) in `registered_instances`.
*/
bool simple_layout : 1;
/// For simple layout, tracks whether the holder has been constructed
bool simple_holder_constructed : 1;
/// For simple layout, tracks whether the instance is registered in `registered_instances`
bool simple_instance_registered : 1;
/// If true, get_internals().patients has an entry for this object
bool has_patients : 1;
/// Initializes all of the above type/values/holders data (but not the instance values themselves)
void allocate_layout();
/// Destroys/deallocates all of the above
void deallocate_layout();
/// Returns the value_and_holder wrapper for the given type (or the first, if `find_type`
/// omitted). Returns a default-constructed (with `.inst = nullptr`) object on failure if
/// `throw_if_missing` is false.
value_and_holder get_value_and_holder(const type_info *find_type = nullptr, bool throw_if_missing = true);
/// Bit values for the non-simple status flags
static constexpr uint8_t status_holder_constructed = 1;
static constexpr uint8_t status_instance_registered = 2;
};
static_assert(std::is_standard_layout<instance>::value, "Internal error: `pybind11::detail::instance` is not standard layout!");
/// from __cpp_future__ import (convenient aliases from C++14/17)
#if defined(PYBIND11_CPP14) && (!defined(_MSC_VER) || _MSC_VER >= 1910)
using std::enable_if_t;
using std::conditional_t;
using std::remove_cv_t;
using std::remove_reference_t;
#else
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;
template <typename T> using remove_cv_t = typename std::remove_cv<T>::type;
template <typename T> using remove_reference_t = typename std::remove_reference<T>::type;
#endif
/// Index sequences
#if defined(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
/// Make an index sequence of the indices of true arguments
template <typename ISeq, size_t, bool...> struct select_indices_impl { using type = ISeq; };
template <size_t... IPrev, size_t I, bool B, bool... Bs> struct select_indices_impl<index_sequence<IPrev...>, I, B, Bs...>
: select_indices_impl<conditional_t<B, index_sequence<IPrev..., I>, index_sequence<IPrev...>>, I + 1, Bs...> {};
template <bool... Bs> using select_indices = typename select_indices_impl<index_sequence<>, 0, Bs...>::type;
/// Backports of std::bool_constant and std::negation to accommodate older compilers
template <bool B> using bool_constant = std::integral_constant<bool, B>;
template <typename T> struct negation : bool_constant<!T::value> { };
template <typename...> struct void_t_impl { using type = void; };
template <typename... Ts> using void_t = typename void_t_impl<Ts...>::type;
/// Compile-time all/any/none of that check the boolean value of all template types
#ifdef __cpp_fold_expressions
template <class... Ts> using all_of = bool_constant<(Ts::value && ...)>;
template <class... Ts> using any_of = bool_constant<(Ts::value || ...)>;
#elif !defined(_MSC_VER)
template <bool...> struct bools {};
template <class... Ts> using all_of = std::is_same<
bools<Ts::value..., true>,
bools<true, Ts::value...>>;
template <class... Ts> using any_of = negation<all_of<negation<Ts>...>>;
#else
// MSVC has trouble with the above, but supports std::conjunction, which we can use instead (albeit
// at a slight loss of compilation efficiency).
template <class... Ts> using all_of = std::conjunction<Ts...>;
template <class... Ts> using any_of = std::disjunction<Ts...>;
#endif
template <class... Ts> using none_of = negation<any_of<Ts...>>;
template <class T, template<class> class... Predicates> using satisfies_all_of = all_of<Predicates<T>...>;
template <class T, template<class> class... Predicates> using satisfies_any_of = any_of<Predicates<T>...>;
template <class T, template<class> class... Predicates> using satisfies_none_of = none_of<Predicates<T>...>;
/// 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 { };
/// Compile-time integer sum
#ifdef __cpp_fold_expressions
template <typename... Ts> constexpr size_t constexpr_sum(Ts... ns) { return (0 + ... + size_t{ns}); }
#else
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...); }
#endif
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>. Returns sizeof...(Ts) if
/// none match.
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>, or -1 if none match.
template <template<typename> class Predicate, typename... Ts>
constexpr int constexpr_last() { return constexpr_impl::last(0, -1, Predicate<Ts>::value...); }
/// Return the Nth element from the parameter pack
template <size_t N, typename T, typename... Ts>
struct pack_element { using type = typename pack_element<N - 1, Ts...>::type; };
template <typename T, typename... Ts>
struct pack_element<0, T, Ts...> { using type = T; };
/// Return the one and only type which matches the predicate, or Default if none match.
/// If more than one type matches the predicate, fail at compile-time.
template <template<typename> class Predicate, typename Default, typename... Ts>
struct exactly_one {
static constexpr auto found = constexpr_sum(Predicate<Ts>::value...);
static_assert(found <= 1, "Found more than one type matching the predicate");
static constexpr auto index = found ? constexpr_first<Predicate, Ts...>() : 0;
using type = conditional_t<found, typename pack_element<index, Ts...>::type, Default>;
};
template <template<typename> class P, typename Default>
struct exactly_one<P, Default> { using type = Default; };
template <template<typename> class Predicate, typename Default, typename... Ts>
using exactly_one_t = typename exactly_one<Predicate, Default, Ts...>::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;
/// Like is_base_of, but requires a strict base (i.e. `is_strict_base_of<T, T>::value == false`,
/// unlike `std::is_base_of`)
template <typename Base, typename Derived> using is_strict_base_of = bool_constant<
std::is_base_of<Base, Derived>::value && !std::is_same<Base, Derived>::value>;
/// Like is_base_of, but also requires that the base type is accessible (i.e. that a Derived pointer
/// can be converted to a Base pointer)
template <typename Base, typename Derived> using is_accessible_base_of = bool_constant<
std::is_base_of<Base, Derived>::value && std::is_convertible<Derived *, Base *>::value>;
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((intrinsic_t<T>*)nullptr));
#else // MSVC2015 has trouble with decltype in template aliases
struct is_template_base_of : decltype(is_template_base_of_impl<Base>::check((intrinsic_t<T>*)nullptr)) { };
#endif
/// Check if T is an instantiation of the template `Class`. For example:
/// `is_instantiation<shared_ptr, T>` is true if `T == shared_ptr<U>` where U can be anything.
template <template<typename...> class Class, typename T>
struct is_instantiation : std::false_type { };
template <template<typename...> class Class, typename... Us>
struct is_instantiation<Class, Class<Us...>> : std::true_type { };
/// Check if T is std::shared_ptr<U> where U can be anything
template <typename T> using is_shared_ptr = is_instantiation<std::shared_ptr, T>;
/// Check if T looks like an input iterator
template <typename T, typename = void> struct is_input_iterator : std::false_type {};
template <typename T>
struct is_input_iterator<T, void_t<decltype(*std::declval<T &>()), decltype(++std::declval<T &>())>>
: std::true_type {};
template <typename T> using is_function_pointer = bool_constant<
std::is_pointer<T>::value && std::is_function<typename std::remove_pointer<T>::type>::value>;
template <typename F> struct strip_function_object {
using type = typename remove_class<decltype(&F::operator())>::type;
};
// Extracts the function signature from a function, function pointer or lambda.
template <typename Function, typename F = remove_reference_t<Function>>
using function_signature_t = conditional_t<
std::is_function<F>::value,
F,
typename conditional_t<
std::is_pointer<F>::value || std::is_member_pointer<F>::value,
std::remove_pointer<F>,
strip_function_object<F>
>::type
>;
/// Returns true if the type looks like a lambda: that is, isn't a function, pointer or member
/// pointer. Note that this can catch all sorts of other things, too; this is intended to be used
/// in a place where passing a lambda makes sense.
template <typename T> using is_lambda = satisfies_none_of<remove_reference_t<T>,
std::is_function, std::is_pointer, std::is_member_pointer>;
/// Ignore that a variable is unused in compiler warnings
inline void ignore_unused(const int *) { }
/// Apply a function over each element of a parameter pack
#ifdef __cpp_fold_expressions
#define PYBIND11_EXPAND_SIDE_EFFECTS(PATTERN) (((PATTERN), void()), ...)
#else
using expand_side_effects = bool[];
#define PYBIND11_EXPAND_SIDE_EFFECTS(PATTERN) pybind11::detail::expand_side_effects{ ((PATTERN), void(), false)..., false }
#endif
NAMESPACE_END(detail)
/// C++ bindings of builtin Python exceptions
class builtin_exception : public std::runtime_error {
public:
using std::runtime_error::runtime_error;
/// Set the error using the Python C API
virtual void set_error() const = 0;
};
#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); }
template <typename T, typename SFINAE = void> struct format_descriptor { };
NAMESPACE_BEGIN(detail)
// Returns the index of the given type in the type char array below, and in the list in numpy.h
// The order here is: bool; 8 ints ((signed,unsigned)x(8,16,32,64)bits); float,double,long double;
// complex float,double,long double. Note that the long double types only participate when long
// double is actually longer than double (it isn't under MSVC).
// NB: not only the string below but also complex.h and numpy.h rely on this order.
template <typename T, typename SFINAE = void> struct is_fmt_numeric { static constexpr bool value = false; };
template <typename T> struct is_fmt_numeric<T, enable_if_t<std::is_arithmetic<T>::value>> {
static constexpr bool value = true;
static constexpr int index = std::is_same<T, bool>::value ? 0 : 1 + (
std::is_integral<T>::value ? detail::log2(sizeof(T))*2 + std::is_unsigned<T>::value : 8 + (
std::is_same<T, double>::value ? 1 : std::is_same<T, long double>::value ? 2 : 0));
};
NAMESPACE_END(detail)
template <typename T> struct format_descriptor<T, detail::enable_if_t<std::is_arithmetic<T>::value>> {
static constexpr const char c = "?bBhHiIqQfdg"[detail::is_fmt_numeric<T>::index];
static constexpr const char value[2] = { c, '\0' };
static std::string format() { return std::string(1, c); }
};
#if !defined(PYBIND11_CPP17)
template <typename T> constexpr const char format_descriptor<
T, detail::enable_if_t<std::is_arithmetic<T>::value>>::value[2];
#endif
/// 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); }
};
/// 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
#if defined(PYBIND11_CPP14)
#define PYBIND11_OVERLOAD_CAST 1
NAMESPACE_BEGIN(detail)
template <typename... Args>
struct overload_cast_impl {
constexpr overload_cast_impl() {} // MSVC 2015 needs this
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{};
#else // no overload_cast: providing something that static_assert-fails:
template <typename... Args> struct overload_cast {
static_assert(detail::deferred_t<std::false_type, Args...>::value,
"pybind11::overload_cast<...> requires compiling in C++14 mode");
};
#endif // overload_cast
NAMESPACE_BEGIN(detail)
// Adaptor for converting arbitrary container arguments into a vector; implicitly convertible from
// any standard container (or C-style array) supporting std::begin/std::end, any singleton
// arithmetic type (if T is arithmetic), or explicitly constructible from an iterator pair.
template <typename T>
class any_container {
std::vector<T> v;
public:
any_container() = default;
// Can construct from a pair of iterators
template <typename It, typename = enable_if_t<is_input_iterator<It>::value>>
any_container(It first, It last) : v(first, last) { }
// Implicit conversion constructor from any arbitrary container type with values convertible to T
template <typename Container, typename = enable_if_t<std::is_convertible<decltype(*std::begin(std::declval<const Container &>())), T>::value>>
any_container(const Container &c) : any_container(std::begin(c), std::end(c)) { }
// initializer_list's aren't deducible, so don't get matched by the above template; we need this
// to explicitly allow implicit conversion from one:
template <typename TIn, typename = enable_if_t<std::is_convertible<TIn, T>::value>>
any_container(const std::initializer_list<TIn> &c) : any_container(c.begin(), c.end()) { }
// Avoid copying if given an rvalue vector of the correct type.
any_container(std::vector<T> &&v) : v(std::move(v)) { }
// Moves the vector out of an rvalue any_container
operator std::vector<T> &&() && { return std::move(v); }
// Dereferencing obtains a reference to the underlying vector
std::vector<T> &operator*() { return v; }
const std::vector<T> &operator*() const { return v; }
// -> lets you call methods on the underlying vector
std::vector<T> *operator->() { return &v; }
const std::vector<T> *operator->() const { return &v; }
};
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/detail/descr.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/descr.h: Helper type for concatenating type signatures at compile time
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)
NAMESPACE_BEGIN(detail)
#if !defined(_MSC_VER)
# define PYBIND11_DESCR_CONSTEXPR static constexpr
#else
# define PYBIND11_DESCR_CONSTEXPR const
#endif
/* Concatenate type signatures at compile time */
template <size_t N, typename... Ts>
struct descr {
char text[N + 1];
constexpr descr() : text{'\0'} { }
constexpr descr(char const (&s)[N+1]) : descr(s, make_index_sequence<N>()) { }
template <size_t... Is>
constexpr descr(char const (&s)[N+1], index_sequence<Is...>) : text{s[Is]..., '\0'} { }
template <typename... Chars>
constexpr descr(char c, Chars... cs) : text{c, static_cast<char>(cs)..., '\0'} { }
static constexpr std::array<const std::type_info *, sizeof...(Ts) + 1> types() {
return {{&typeid(Ts)..., nullptr}};
}
};
template <size_t N1, size_t N2, typename... Ts1, typename... Ts2, size_t... Is1, size_t... Is2>
constexpr descr<N1 + N2, Ts1..., Ts2...> plus_impl(const descr<N1, Ts1...> &a, const descr<N2, Ts2...> &b,
index_sequence<Is1...>, index_sequence<Is2...>) {
return {a.text[Is1]..., b.text[Is2]...};
}
template <size_t N1, size_t N2, typename... Ts1, typename... Ts2>
constexpr descr<N1 + N2, Ts1..., Ts2...> operator+(const descr<N1, Ts1...> &a, const descr<N2, Ts2...> &b) {
return plus_impl(a, b, make_index_sequence<N1>(), make_index_sequence<N2>());
}
template <size_t N>
constexpr descr<N - 1> _(char const(&text)[N]) { return descr<N - 1>(text); }
constexpr descr<0> _(char const(&)[1]) { return {}; }
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' + Digits)...);
};
// Ternary description (like std::conditional)
template <bool B, size_t N1, size_t N2>
constexpr enable_if_t<B, descr<N1 - 1>> _(char const(&text1)[N1], char const(&)[N2]) {
return _(text1);
}
template <bool B, size_t N1, size_t N2>
constexpr enable_if_t<!B, descr<N2 - 1>> _(char const(&)[N1], char const(&text2)[N2]) {
return _(text2);
}
template <bool B, typename T1, typename T2>
constexpr enable_if_t<B, T1> _(const T1 &d, const T2 &) { return d; }
template <bool B, typename T1, typename T2>
constexpr enable_if_t<!B, T2> _(const T1 &, const T2 &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, Type> _() { return {'%'}; }
constexpr descr<0> concat() { return {}; }
template <size_t N, typename... Ts>
constexpr descr<N, Ts...> concat(const descr<N, Ts...> &descr) { return descr; }
template <size_t N, typename... Ts, typename... Args>
constexpr auto concat(const descr<N, Ts...> &d, const Args &...args)
-> decltype(std::declval<descr<N + 2, Ts...>>() + concat(args...)) {
return d + _(", ") + concat(args...);
}
template <size_t N, typename... Ts>
constexpr descr<N + 2, Ts...> type_descr(const descr<N, Ts...> &descr) {
return _("{") + descr + _("}");
}
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/detail/init.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/init.h: init factory function implementation and support code.
Copyright (c) 2017 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.
*/
#pragma once
#include "class.h"
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
NAMESPACE_BEGIN(detail)
template <>
class type_caster<value_and_holder> {
public:
bool load(handle h, bool) {
value = reinterpret_cast<value_and_holder *>(h.ptr());
return true;
}
template <typename> using cast_op_type = value_and_holder &;
operator value_and_holder &() { return *value; }
static constexpr auto name = _<value_and_holder>();
private:
value_and_holder *value = nullptr;
};
NAMESPACE_BEGIN(initimpl)
inline void no_nullptr(void *ptr) {
if (!ptr) throw type_error("pybind11::init(): factory function returned nullptr");
}
// Implementing functions for all forms of py::init<...> and py::init(...)
template <typename Class> using Cpp = typename Class::type;
template <typename Class> using Alias = typename Class::type_alias;
template <typename Class> using Holder = typename Class::holder_type;
template <typename Class> using is_alias_constructible = std::is_constructible<Alias<Class>, Cpp<Class> &&>;
// Takes a Cpp pointer and returns true if it actually is a polymorphic Alias instance.
template <typename Class, enable_if_t<Class::has_alias, int> = 0>
bool is_alias(Cpp<Class> *ptr) {
return dynamic_cast<Alias<Class> *>(ptr) != nullptr;
}
// Failing fallback version of the above for a no-alias class (always returns false)
template <typename /*Class*/>
constexpr bool is_alias(void *) { return false; }
// Attempts to constructs an alias using a `Alias(Cpp &&)` constructor. This allows types with
// an alias to provide only a single Cpp factory function as long as the Alias can be
// constructed from an rvalue reference of the base Cpp type. This means that Alias classes
// can, when appropriate, simply define a `Alias(Cpp &&)` constructor rather than needing to
// inherit all the base class constructors.
template <typename Class>
void construct_alias_from_cpp(std::true_type /*is_alias_constructible*/,
value_and_holder &v_h, Cpp<Class> &&base) {
v_h.value_ptr() = new Alias<Class>(std::move(base));
}
template <typename Class>
[[noreturn]] void construct_alias_from_cpp(std::false_type /*!is_alias_constructible*/,
value_and_holder &, Cpp<Class> &&) {
throw type_error("pybind11::init(): unable to convert returned instance to required "
"alias class: no `Alias<Class>(Class &&)` constructor available");
}
// Error-generating fallback for factories that don't match one of the below construction
// mechanisms.
template <typename Class>
void construct(...) {
static_assert(!std::is_same<Class, Class>::value /* always false */,
"pybind11::init(): init function must return a compatible pointer, "
"holder, or value");
}
// Pointer return v1: the factory function returns a class pointer for a registered class.
// If we don't need an alias (because this class doesn't have one, or because the final type is
// inherited on the Python side) we can simply take over ownership. Otherwise we need to try to
// construct an Alias from the returned base instance.
template <typename Class>
void construct(value_and_holder &v_h, Cpp<Class> *ptr, bool need_alias) {
no_nullptr(ptr);
if (Class::has_alias && need_alias && !is_alias<Class>(ptr)) {
// We're going to try to construct an alias by moving the cpp type. Whether or not
// that succeeds, we still need to destroy the original cpp pointer (either the
// moved away leftover, if the alias construction works, or the value itself if we
// throw an error), but we can't just call `delete ptr`: it might have a special
// deleter, or might be shared_from_this. So we construct a holder around it as if
// it was a normal instance, then steal the holder away into a local variable; thus
// the holder and destruction happens when we leave the C++ scope, and the holder
// class gets to handle the destruction however it likes.
v_h.value_ptr() = ptr;
v_h.set_instance_registered(true); // To prevent init_instance from registering it
v_h.type->init_instance(v_h.inst, nullptr); // Set up the holder
Holder<Class> temp_holder(std::move(v_h.holder<Holder<Class>>())); // Steal the holder
v_h.type->dealloc(v_h); // Destroys the moved-out holder remains, resets value ptr to null
v_h.set_instance_registered(false);
construct_alias_from_cpp<Class>(is_alias_constructible<Class>{}, v_h, std::move(*ptr));
} else {
// Otherwise the type isn't inherited, so we don't need an Alias
v_h.value_ptr() = ptr;
}
}
// Pointer return v2: a factory that always returns an alias instance ptr. We simply take over
// ownership of the pointer.
template <typename Class, enable_if_t<Class::has_alias, int> = 0>
void construct(value_and_holder &v_h, Alias<Class> *alias_ptr, bool) {
no_nullptr(alias_ptr);
v_h.value_ptr() = static_cast<Cpp<Class> *>(alias_ptr);
}
// Holder return: copy its pointer, and move or copy the returned holder into the new instance's
// holder. This also handles types like std::shared_ptr<T> and std::unique_ptr<T> where T is a
// derived type (through those holder's implicit conversion from derived class holder constructors).
template <typename Class>
void construct(value_and_holder &v_h, Holder<Class> holder, bool need_alias) {
auto *ptr = holder_helper<Holder<Class>>::get(holder);
// If we need an alias, check that the held pointer is actually an alias instance
if (Class::has_alias && need_alias && !is_alias<Class>(ptr))
throw type_error("pybind11::init(): construction failed: returned holder-wrapped instance "
"is not an alias instance");
v_h.value_ptr() = ptr;
v_h.type->init_instance(v_h.inst, &holder);
}
// return-by-value version 1: returning a cpp class by value. If the class has an alias and an
// alias is required the alias must have an `Alias(Cpp &&)` constructor so that we can construct
// the alias from the base when needed (i.e. because of Python-side inheritance). When we don't
// need it, we simply move-construct the cpp value into a new instance.
template <typename Class>
void construct(value_and_holder &v_h, Cpp<Class> &&result, bool need_alias) {
static_assert(std::is_move_constructible<Cpp<Class>>::value,
"pybind11::init() return-by-value factory function requires a movable class");
if (Class::has_alias && need_alias)
construct_alias_from_cpp<Class>(is_alias_constructible<Class>{}, v_h, std::move(result));
else
v_h.value_ptr() = new Cpp<Class>(std::move(result));
}
// return-by-value version 2: returning a value of the alias type itself. We move-construct an
// Alias instance (even if no the python-side inheritance is involved). The is intended for
// cases where Alias initialization is always desired.
template <typename Class>
void construct(value_and_holder &v_h, Alias<Class> &&result, bool) {
static_assert(std::is_move_constructible<Alias<Class>>::value,
"pybind11::init() return-by-alias-value factory function requires a movable alias class");
v_h.value_ptr() = new Alias<Class>(std::move(result));
}
// Implementing class for py::init<...>()
template <typename... Args>
struct constructor {
template <typename Class, typename... Extra, enable_if_t<!Class::has_alias, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
cl.def("__init__", [](value_and_holder &v_h, Args... args) {
v_h.value_ptr() = new Cpp<Class>{std::forward<Args>(args)...};
}, is_new_style_constructor(), extra...);
}
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias &&
std::is_constructible<Cpp<Class>, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
cl.def("__init__", [](value_and_holder &v_h, Args... args) {
if (Py_TYPE(v_h.inst) == v_h.type->type)
v_h.value_ptr() = new Cpp<Class>{std::forward<Args>(args)...};
else
v_h.value_ptr() = new Alias<Class>{std::forward<Args>(args)...};
}, is_new_style_constructor(), extra...);
}
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias &&
!std::is_constructible<Cpp<Class>, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
cl.def("__init__", [](value_and_holder &v_h, Args... args) {
v_h.value_ptr() = new Alias<Class>{std::forward<Args>(args)...};
}, is_new_style_constructor(), extra...);
}
};
// Implementing class for py::init_alias<...>()
template <typename... Args> struct alias_constructor {
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias && std::is_constructible<Alias<Class>, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
cl.def("__init__", [](value_and_holder &v_h, Args... args) {
v_h.value_ptr() = new Alias<Class>{std::forward<Args>(args)...};
}, is_new_style_constructor(), extra...);
}
};
// Implementation class for py::init(Func) and py::init(Func, AliasFunc)
template <typename CFunc, typename AFunc = void_type (*)(),
typename = function_signature_t<CFunc>, typename = function_signature_t<AFunc>>
struct factory;
// Specialization for py::init(Func)
template <typename Func, typename Return, typename... Args>
struct factory<Func, void_type (*)(), Return(Args...)> {
remove_reference_t<Func> class_factory;
factory(Func &&f) : class_factory(std::forward<Func>(f)) { }
// The given class either has no alias or has no separate alias factory;
// this always constructs the class itself. If the class is registered with an alias
// type and an alias instance is needed (i.e. because the final type is a Python class
// inheriting from the C++ type) the returned value needs to either already be an alias
// instance, or the alias needs to be constructible from a `Class &&` argument.
template <typename Class, typename... Extra>
void execute(Class &cl, const Extra &...extra) && {
#if defined(PYBIND11_CPP14)
cl.def("__init__", [func = std::move(class_factory)]
#else
auto &func = class_factory;
cl.def("__init__", [func]
#endif
(value_and_holder &v_h, Args... args) {
construct<Class>(v_h, func(std::forward<Args>(args)...),
Py_TYPE(v_h.inst) != v_h.type->type);
}, is_new_style_constructor(), extra...);
}
};
// Specialization for py::init(Func, AliasFunc)
template <typename CFunc, typename AFunc,
typename CReturn, typename... CArgs, typename AReturn, typename... AArgs>
struct factory<CFunc, AFunc, CReturn(CArgs...), AReturn(AArgs...)> {
static_assert(sizeof...(CArgs) == sizeof...(AArgs),
"pybind11::init(class_factory, alias_factory): class and alias factories "
"must have identical argument signatures");
static_assert(all_of<std::is_same<CArgs, AArgs>...>::value,
"pybind11::init(class_factory, alias_factory): class and alias factories "
"must have identical argument signatures");
remove_reference_t<CFunc> class_factory;
remove_reference_t<AFunc> alias_factory;
factory(CFunc &&c, AFunc &&a)
: class_factory(std::forward<CFunc>(c)), alias_factory(std::forward<AFunc>(a)) { }
// The class factory is called when the `self` type passed to `__init__` is the direct
// class (i.e. not inherited), the alias factory when `self` is a Python-side subtype.
template <typename Class, typename... Extra>
void execute(Class &cl, const Extra&... extra) && {
static_assert(Class::has_alias, "The two-argument version of `py::init()` can "
"only be used if the class has an alias");
#if defined(PYBIND11_CPP14)
cl.def("__init__", [class_func = std::move(class_factory), alias_func = std::move(alias_factory)]
#else
auto &class_func = class_factory;
auto &alias_func = alias_factory;
cl.def("__init__", [class_func, alias_func]
#endif
(value_and_holder &v_h, CArgs... args) {
if (Py_TYPE(v_h.inst) == v_h.type->type)
// If the instance type equals the registered type we don't have inheritance, so
// don't need the alias and can construct using the class function:
construct<Class>(v_h, class_func(std::forward<CArgs>(args)...), false);
else
construct<Class>(v_h, alias_func(std::forward<CArgs>(args)...), true);
}, is_new_style_constructor(), extra...);
}
};
/// Set just the C++ state. Same as `__init__`.
template <typename Class, typename T>
void setstate(value_and_holder &v_h, T &&result, bool need_alias) {
construct<Class>(v_h, std::forward<T>(result), need_alias);
}
/// Set both the C++ and Python states
template <typename Class, typename T, typename O,
enable_if_t<std::is_convertible<O, handle>::value, int> = 0>
void setstate(value_and_holder &v_h, std::pair<T, O> &&result, bool need_alias) {
construct<Class>(v_h, std::move(result.first), need_alias);
setattr((PyObject *) v_h.inst, "__dict__", result.second);
}
/// Implementation for py::pickle(GetState, SetState)
template <typename Get, typename Set,
typename = function_signature_t<Get>, typename = function_signature_t<Set>>
struct pickle_factory;
template <typename Get, typename Set,
typename RetState, typename Self, typename NewInstance, typename ArgState>
struct pickle_factory<Get, Set, RetState(Self), NewInstance(ArgState)> {
static_assert(std::is_same<intrinsic_t<RetState>, intrinsic_t<ArgState>>::value,
"The type returned by `__getstate__` must be the same "
"as the argument accepted by `__setstate__`");
remove_reference_t<Get> get;
remove_reference_t<Set> set;
pickle_factory(Get get, Set set)
: get(std::forward<Get>(get)), set(std::forward<Set>(set)) { }
template <typename Class, typename... Extra>
void execute(Class &cl, const Extra &...extra) && {
cl.def("__getstate__", std::move(get));
#if defined(PYBIND11_CPP14)
cl.def("__setstate__", [func = std::move(set)]
#else
auto &func = set;
cl.def("__setstate__", [func]
#endif
(value_and_holder &v_h, ArgState state) {
setstate<Class>(v_h, func(std::forward<ArgState>(state)),
Py_TYPE(v_h.inst) != v_h.type->type);
}, is_new_style_constructor(), extra...);
}
};
NAMESPACE_END(initimpl)
NAMESPACE_END(detail)
NAMESPACE_END(pybind11)
dlib/external/pybind11/include/pybind11/detail/internals.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/internals.h: Internal data structure and related functions
Copyright (c) 2017 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"
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
NAMESPACE_BEGIN(detail)
// Forward declarations
inline PyTypeObject *make_static_property_type();
inline PyTypeObject *make_default_metaclass();
inline PyObject *make_object_base_type(PyTypeObject *metaclass);
// Python loads modules by default with dlopen with the RTLD_LOCAL flag; under libc++ and possibly
// other STLs, this means `typeid(A)` from one module won't equal `typeid(A)` from another module
// even when `A` is the same, non-hidden-visibility type (e.g. from a common include). Under
// libstdc++, this doesn't happen: equality and the type_index hash are based on the type name,
// which works. If not under a known-good stl, provide our own name-based hash and equality
// functions that use the type name.
#if defined(__GLIBCXX__)
inline bool same_type(const std::type_info &lhs, const std::type_info &rhs) { return lhs == rhs; }
using type_hash = std::hash<std::type_index>;
using type_equal_to = std::equal_to<std::type_index>;
#else
inline bool same_type(const std::type_info &lhs, const std::type_info &rhs) {
return lhs.name() == rhs.name() || std::strcmp(lhs.name(), rhs.name()) == 0;
}
struct type_hash {
size_t operator()(const std::type_index &t) const {
size_t hash = 5381;
const char *ptr = t.name();
while (auto c = static_cast<unsigned char>(*ptr++))
hash = (hash * 33) ^ c;
return hash;
}
};
struct type_equal_to {
bool operator()(const std::type_index &lhs, const std::type_index &rhs) const {
return lhs.name() == rhs.name() || std::strcmp(lhs.name(), rhs.name()) == 0;
}
};
#endif
template <typename value_type>
using type_map = std::unordered_map<std::type_index, value_type, type_hash, type_equal_to>;
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 structure used to track registered instances and types.
/// Whenever binary incompatible changes are made to this structure,
/// `PYBIND11_INTERNALS_VERSION` must be incremented.
struct internals {
type_map<type_info *> registered_types_cpp; // std::type_index -> pybind11's type information
std::unordered_map<PyTypeObject *, std::vector<type_info *>> registered_types_py; // PyTypeObject* -> base type_info(s)
std::unordered_multimap<const void *, instance*> registered_instances; // void * -> instance*
std::unordered_set<std::pair<const PyObject *, const char *>, overload_hash> inactive_overload_cache;
type_map<std::vector<bool (*)(PyObject *, void *&)>> direct_conversions;
std::unordered_map<const PyObject *, std::vector<PyObject *>> patients;
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
std::vector<PyObject *> loader_patient_stack; // Used by `loader_life_support`
std::forward_list<std::string> static_strings; // Stores the std::strings backing detail::c_str()
PyTypeObject *static_property_type;
PyTypeObject *default_metaclass;
PyObject *instance_base;
#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
};
/// Additional type information which does not fit into the PyTypeObject.
/// Changes to this struct also require bumping `PYBIND11_INTERNALS_VERSION`.
struct type_info {
PyTypeObject *type;
const std::type_info *cpptype;
size_t type_size, holder_size_in_ptrs;
void *(*operator_new)(size_t);
void (*init_instance)(instance *, const void *);
void (*dealloc)(value_and_holder &v_h);
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;
void *(*module_local_load)(PyObject *, const type_info *) = nullptr;
/* A simple type never occurs as a (direct or indirect) parent
* of a class that makes use of multiple inheritance */
bool simple_type : 1;
/* True if there is no multiple inheritance in this type's inheritance tree */
bool simple_ancestors : 1;
/* for base vs derived holder_type checks */
bool default_holder : 1;
/* true if this is a type registered with py::module_local */
bool module_local : 1;
};
/// Tracks the `internals` and `type_info` ABI version independent of the main library version
#define PYBIND11_INTERNALS_VERSION 1
#if defined(WITH_THREAD)
# define PYBIND11_INTERNALS_KIND ""
#else
# define PYBIND11_INTERNALS_KIND "_without_thread"
#endif
#define PYBIND11_INTERNALS_ID "__pybind11_internals_v" \
PYBIND11_TOSTRING(PYBIND11_INTERNALS_VERSION) PYBIND11_INTERNALS_KIND "__"
#define PYBIND11_MODULE_LOCAL_ID "__pybind11_module_local_v" \
PYBIND11_TOSTRING(PYBIND11_INTERNALS_VERSION) PYBIND11_INTERNALS_KIND "__"
/// Each module locally stores a pointer to the `internals` data. The data
/// itself is shared among modules with the same `PYBIND11_INTERNALS_ID`.
inline internals *&get_internals_ptr() {
static internals *internals_ptr = nullptr;
return internals_ptr;
}
/// Return a reference to the current `internals` data
PYBIND11_NOINLINE inline internals &get_internals() {
auto *&internals_ptr = get_internals_ptr();
if (internals_ptr)
return *internals_ptr;
constexpr auto *id = PYBIND11_INTERNALS_ID;
auto builtins = handle(PyEval_GetBuiltins());
if (builtins.contains(id) && isinstance<capsule>(builtins[id])) {
internals_ptr = *static_cast<internals **>(capsule(builtins[id]));
// We loaded builtins through python's builtins, which means that our `error_already_set`
// and `builtin_exception` may be different local classes than the ones set up in the
// initial exception translator, below, so add another for our local exception classes.
//
// libstdc++ doesn't require this (types there are identified only by name)
#if !defined(__GLIBCXX__)
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;
}
}
);
#endif
} 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;
}
}
);
internals_ptr->static_property_type = make_static_property_type();
internals_ptr->default_metaclass = make_default_metaclass();
internals_ptr->instance_base = make_object_base_type(internals_ptr->default_metaclass);
}
return *internals_ptr;
}
/// Works like `internals.registered_types_cpp`, but for module-local registered types:
inline type_map<type_info *> &registered_local_types_cpp() {
static type_map<type_info *> locals{};
return locals;
}
/// Constructs a std::string with the given arguments, stores it in `internals`, and returns its
/// `c_str()`. Such strings objects have a long storage duration -- the internal strings are only
/// cleared when the program exits or after interpreter shutdown (when embedding), and so are
/// suitable for c-style strings needed by Python internals (such as PyTypeObject's tp_name).
template <typename... Args>
const char *c_str(Args &&...args) {
auto &strings = get_internals().static_strings;
strings.emplace_front(std::forward<Args>(args)...);
return strings.front().c_str();
}
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;
}
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/detail/typeid.h 0 → 100644
View file @ 077a3b60
/*
pybind11/detail/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)
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_NAMESPACE)
dlib/external/pybind11/include/pybind11/eigen.h 0 → 100644
View file @ 077a3b60
/*
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"
# ifdef __clang__
// Eigen generates a bunch of implicit-copy-constructor-is-deprecated warnings with -Wdeprecated
// under Clang, so disable that warning here:
# pragma GCC diagnostic ignored "-Wdeprecated"
# endif
# if __GNUC__ >= 7
# pragma GCC diagnostic ignored "-Wint-in-bool-context"
# endif
#endif
#include <Eigen/Core>
#include <Eigen/SparseCore>
#if defined(_MSC_VER)
# pragma warning(push)
# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#endif
// Eigen prior to 3.2.7 doesn't have proper move constructors--but worse, some classes get implicit
// move constructors that break things. We could detect this an explicitly copy, but an extra copy
// of matrices seems highly undesirable.
static_assert(EIGEN_VERSION_AT_LEAST(3,2,7), "Eigen support in pybind11 requires Eigen >= 3.2.7");
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
// Provide a convenience alias for easier pass-by-ref usage with fully dynamic strides:
using EigenDStride = Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic>;
template <typename MatrixType> using EigenDRef = Eigen::Ref<MatrixType, 0, EigenDStride>;
template <typename MatrixType> using EigenDMap = Eigen::Map<MatrixType, 0, EigenDStride>;
NAMESPACE_BEGIN(detail)
#if EIGEN_VERSION_AT_LEAST(3,3,0)
using EigenIndex = Eigen::Index;
#else
using EigenIndex = EIGEN_DEFAULT_DENSE_INDEX_TYPE;
#endif
// Matches Eigen::Map, Eigen::Ref, blocks, etc:
template <typename T> using is_eigen_dense_map = all_of<is_template_base_of<Eigen::DenseBase, T>, std::is_base_of<Eigen::MapBase<T, Eigen::ReadOnlyAccessors>, T>>;
template <typename T> using is_eigen_mutable_map = std::is_base_of<Eigen::MapBase<T, Eigen::WriteAccessors>, T>;
template <typename T> using is_eigen_dense_plain = all_of<negation<is_eigen_dense_map<T>>, is_template_base_of<Eigen::PlainObjectBase, T>>;
template <typename T> using is_eigen_sparse = is_template_base_of<Eigen::SparseMatrixBase, 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_other = all_of<
is_template_base_of<Eigen::EigenBase, T>,
negation<any_of<is_eigen_dense_map<T>, is_eigen_dense_plain<T>, is_eigen_sparse<T>>>
>;
// Captures numpy/eigen conformability status (returned by EigenProps::conformable()):
template <bool EigenRowMajor> struct EigenConformable {
bool conformable = false;
EigenIndex rows = 0, cols = 0;
EigenDStride stride{0, 0}; // Only valid if negativestrides is false!
bool negativestrides = false; // If true, do not use stride!
EigenConformable(bool fits = false) : conformable{fits} {}
// Matrix type:
EigenConformable(EigenIndex r, EigenIndex c,
EigenIndex rstride, EigenIndex cstride) :
conformable{true}, rows{r}, cols{c} {
// TODO: when Eigen bug #747 is fixed, remove the tests for non-negativity. http://eigen.tuxfamily.org/bz/show_bug.cgi?id=747
if (rstride < 0 || cstride < 0) {
negativestrides = true;
} else {
stride = {EigenRowMajor ? rstride : cstride /* outer stride */,
EigenRowMajor ? cstride : rstride /* inner stride */ };
}
}
// Vector type:
EigenConformable(EigenIndex r, EigenIndex c, EigenIndex stride)
: EigenConformable(r, c, r == 1 ? c*stride : stride, c == 1 ? r : r*stride) {}
template <typename props> bool stride_compatible() const {
// To have compatible strides, we need (on both dimensions) one of fully dynamic strides,
// matching strides, or a dimension size of 1 (in which case the stride value is irrelevant)
return
!negativestrides &&
(props::inner_stride == Eigen::Dynamic || props::inner_stride == stride.inner() ||
(EigenRowMajor ? cols : rows) == 1) &&
(props::outer_stride == Eigen::Dynamic || props::outer_stride == stride.outer() ||
(EigenRowMajor ? rows : cols) == 1);
}
operator bool() const { return conformable; }
};
template <typename Type> struct eigen_extract_stride { using type = Type; };
template <typename PlainObjectType, int MapOptions, typename StrideType>
struct eigen_extract_stride<Eigen::Map<PlainObjectType, MapOptions, StrideType>> { using type = StrideType; };
template <typename PlainObjectType, int Options, typename StrideType>
struct eigen_extract_stride<Eigen::Ref<PlainObjectType, Options, StrideType>> { using type = StrideType; };
// Helper struct for extracting information from an Eigen type
template <typename Type_> struct EigenProps {
using Type = Type_;
using Scalar = typename Type::Scalar;
using StrideType = typename eigen_extract_stride<Type>::type;
static constexpr EigenIndex
rows = Type::RowsAtCompileTime,
cols = Type::ColsAtCompileTime,
size = Type::SizeAtCompileTime;
static constexpr bool
row_major = Type::IsRowMajor,
vector = Type::IsVectorAtCompileTime, // At least one dimension has fixed size 1
fixed_rows = rows != Eigen::Dynamic,
fixed_cols = cols != Eigen::Dynamic,
fixed = size != Eigen::Dynamic, // Fully-fixed size
dynamic = !fixed_rows && !fixed_cols; // Fully-dynamic size
template <EigenIndex i, EigenIndex ifzero> using if_zero = std::integral_constant<EigenIndex, i == 0 ? ifzero : i>;
static constexpr EigenIndex inner_stride = if_zero<StrideType::InnerStrideAtCompileTime, 1>::value,
outer_stride = if_zero<StrideType::OuterStrideAtCompileTime,
vector ? size : row_major ? cols : rows>::value;
static constexpr bool dynamic_stride = inner_stride == Eigen::Dynamic && outer_stride == Eigen::Dynamic;
static constexpr bool requires_row_major = !dynamic_stride && !vector && (row_major ? inner_stride : outer_stride) == 1;
static constexpr bool requires_col_major = !dynamic_stride && !vector && (row_major ? outer_stride : inner_stride) == 1;
// Takes an input array and determines whether we can make it fit into the Eigen type. If
// the array is a vector, we attempt to fit it into either an Eigen 1xN or Nx1 vector
// (preferring the latter if it will fit in either, i.e. for a fully dynamic matrix type).
static EigenConformable<row_major> conformable(const array &a) {
const auto dims = a.ndim();
if (dims < 1 || dims > 2)
return false;
if (dims == 2) { // Matrix type: require exact match (or dynamic)
EigenIndex
np_rows = a.shape(0),
np_cols = a.shape(1),
np_rstride = a.strides(0) / static_cast<ssize_t>(sizeof(Scalar)),
np_cstride = a.strides(1) / static_cast<ssize_t>(sizeof(Scalar));
if ((fixed_rows && np_rows != rows) || (fixed_cols && np_cols != cols))
return false;
return {np_rows, np_cols, np_rstride, np_cstride};
}
// Otherwise we're storing an n-vector. Only one of the strides will be used, but whichever
// is used, we want the (single) numpy stride value.
const EigenIndex n = a.shape(0),
stride = a.strides(0) / static_cast<ssize_t>(sizeof(Scalar));
if (vector) { // Eigen type is a compile-time vector
if (fixed && size != n)
return false; // Vector size mismatch
return {rows == 1 ? 1 : n, cols == 1 ? 1 : n, stride};
}
else if (fixed) {
// The type has a fixed size, but is not a vector: abort
return false;
}
else if (fixed_cols) {
// Since this isn't a vector, cols must be != 1. We allow this only if it exactly
// equals the number of elements (rows is Dynamic, and so 1 row is allowed).
if (cols != n) return false;
return {1, n, stride};
}
else {
// Otherwise it's either fully dynamic, or column dynamic; both become a column vector
if (fixed_rows && rows != n) return false;
return {n, 1, stride};
}
}
static constexpr bool show_writeable = is_eigen_dense_map<Type>::value && is_eigen_mutable_map<Type>::value;
static constexpr bool show_order = is_eigen_dense_map<Type>::value;
static constexpr bool show_c_contiguous = show_order && requires_row_major;
static constexpr bool show_f_contiguous = !show_c_contiguous && show_order && requires_col_major;
static constexpr auto descriptor =
_("numpy.ndarray[") + npy_format_descriptor<Scalar>::name +
_("[") + _<fixed_rows>(_<(size_t) rows>(), _("m")) +
_(", ") + _<fixed_cols>(_<(size_t) cols>(), _("n")) +
_("]") +
// For a reference type (e.g. Ref<MatrixXd>) we have other constraints that might need to be
// satisfied: writeable=True (for a mutable reference), and, depending on the map's stride
// options, possibly f_contiguous or c_contiguous. We include them in the descriptor output
// to provide some hint as to why a TypeError is occurring (otherwise it can be confusing to
// see that a function accepts a 'numpy.ndarray[float64[3,2]]' and an error message that you
// *gave* a numpy.ndarray of the right type and dimensions.
_<show_writeable>(", flags.writeable", "") +
_<show_c_contiguous>(", flags.c_contiguous", "") +
_<show_f_contiguous>(", flags.f_contiguous", "") +
_("]");
};
// Casts an Eigen type to numpy array. If given a base, the numpy array references the src data,
// otherwise it'll make a copy. writeable lets you turn off the writeable flag for the array.
template <typename props> handle eigen_array_cast(typename props::Type const &src, handle base = handle(), bool writeable = true) {
constexpr ssize_t elem_size = sizeof(typename props::Scalar);
array a;
if (props::vector)
a = array({ src.size() }, { elem_size * src.innerStride() }, src.data(), base);
else
a = array({ src.rows(), src.cols() }, { elem_size * src.rowStride(), elem_size * src.colStride() },
src.data(), base);
if (!writeable)
array_proxy(a.ptr())->flags &= ~detail::npy_api::NPY_ARRAY_WRITEABLE_;
return a.release();
}
// Takes an lvalue ref to some Eigen type and a (python) base object, creating a numpy array that
// reference the Eigen object's data with `base` as the python-registered base class (if omitted,
// the base will be set to None, and lifetime management is up to the caller). The numpy array is
// non-writeable if the given type is const.
template <typename props, typename Type>
handle eigen_ref_array(Type &src, handle parent = none()) {
// none here is to get past array's should-we-copy detection, which currently always
// copies when there is no base. Setting the base to None should be harmless.
return eigen_array_cast<props>(src, parent, !std::is_const<Type>::value);
}
// Takes a pointer to some dense, plain Eigen type, builds a capsule around it, then returns a numpy
// array that references the encapsulated data with a python-side reference to the capsule to tie
// its destruction to that of any dependent python objects. Const-ness is determined by whether or
// not the Type of the pointer given is const.
template <typename props, typename Type, typename = enable_if_t<is_eigen_dense_plain<Type>::value>>
handle eigen_encapsulate(Type *src) {
capsule base(src, [](void *o) { delete static_cast<Type *>(o); });
return eigen_ref_array<props>(*src, base);
}
// Type caster for regular, dense matrix types (e.g. MatrixXd), but not maps/refs/etc. of dense
// types.
template<typename Type>
struct type_caster<Type, enable_if_t<is_eigen_dense_plain<Type>::value>> {
using Scalar = typename Type::Scalar;
using props = EigenProps<Type>;
bool load(handle src, bool convert) {
// If we're in no-convert mode, only load if given an array of the correct type
if (!convert && !isinstance<array_t<Scalar>>(src))
return false;
// Coerce into an array, but don't do type conversion yet; the copy below handles it.
auto buf = array::ensure(src);
if (!buf)
return false;
auto dims = buf.ndim();
if (dims < 1 || dims > 2)
return false;
auto fits = props::conformable(buf);
if (!fits)
return false;
// Allocate the new type, then build a numpy reference into it
value = Type(fits.rows, fits.cols);
auto ref = reinterpret_steal<array>(eigen_ref_array<props>(value));
if (dims == 1) ref = ref.squeeze();
else if (ref.ndim() == 1) buf = buf.squeeze();
int result = detail::npy_api::get().PyArray_CopyInto_(ref.ptr(), buf.ptr());
if (result < 0) { // Copy failed!
PyErr_Clear();
return false;
}
return true;
}
private:
// Cast implementation
template <typename CType>
static handle cast_impl(CType *src, return_value_policy policy, handle parent) {
switch (policy) {
case return_value_policy::take_ownership:
case return_value_policy::automatic:
return eigen_encapsulate<props>(src);
case return_value_policy::move:
return eigen_encapsulate<props>(new CType(std::move(*src)));
case return_value_policy::copy:
return eigen_array_cast<props>(*src);
case return_value_policy::reference:
case return_value_policy::automatic_reference:
return eigen_ref_array<props>(*src);
case return_value_policy::reference_internal:
return eigen_ref_array<props>(*src, parent);
default:
throw cast_error("unhandled return_value_policy: should not happen!");
};
}
public:
// Normal returned non-reference, non-const value:
static handle cast(Type &&src, return_value_policy /* policy */, handle parent) {
return cast_impl(&src, return_value_policy::move, parent);
}
// If you return a non-reference const, we mark the numpy array readonly:
static handle cast(const Type &&src, return_value_policy /* policy */, handle parent) {
return cast_impl(&src, return_value_policy::move, parent);
}
// lvalue reference return; default (automatic) becomes copy
static handle cast(Type &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_impl(&src, policy, parent);
}
// const lvalue reference return; default (automatic) becomes copy
static handle cast(const Type &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);
}
// non-const pointer return
static handle cast(Type *src, return_value_policy policy, handle parent) {
return cast_impl(src, policy, parent);
}
// const pointer return
static handle cast(const Type *src, return_value_policy policy, handle parent) {
return cast_impl(src, policy, parent);
}
static constexpr auto name = props::descriptor;
operator Type*() { return &value; }
operator Type&() { return value; }
operator Type&&() && { return std::move(value); }
template <typename T> using cast_op_type = movable_cast_op_type<T>;
private:
Type value;
};
// Eigen Ref/Map classes have slightly different policy requirements, meaning we don't want to force
// `move` when a Ref/Map rvalue is returned; we treat Ref<> sort of like a pointer (we care about
// the underlying data, not the outer shell).
template <typename Return>
struct return_value_policy_override<Return, enable_if_t<is_eigen_dense_map<Return>::value>> {
static return_value_policy policy(return_value_policy p) { return p; }
};
// Base class for casting reference/map/block/etc. objects back to python.
template <typename MapType> struct eigen_map_caster {
private:
using props = EigenProps<MapType>;
public:
// Directly referencing a ref/map's data is a bit dangerous (whatever the map/ref points to has
// to stay around), but we'll allow it under the assumption that you know what you're doing (and
// have an appropriate keep_alive in place). We return a numpy array pointing directly at the
// ref's data (The numpy array ends up read-only if the ref was to a const matrix type.) Note
// that this means you need to ensure you don't destroy the object in some other way (e.g. with
// an appropriate keep_alive, or with a reference to a statically allocated matrix).
static handle cast(const MapType &src, return_value_policy policy, handle parent) {
switch (policy) {
case return_value_policy::copy:
return eigen_array_cast<props>(src);
case return_value_policy::reference_internal:
return eigen_array_cast<props>(src, parent, is_eigen_mutable_map<MapType>::value);
case return_value_policy::reference:
case return_value_policy::automatic:
case return_value_policy::automatic_reference:
return eigen_array_cast<props>(src, none(), is_eigen_mutable_map<MapType>::value);
default:
// move, take_ownership don't make any sense for a ref/map:
pybind11_fail("Invalid return_value_policy for Eigen Map/Ref/Block type");
}
}
static constexpr auto name = props::descriptor;
// Explicitly delete these: support python -> C++ conversion on these (i.e. these can be return
// types but not bound arguments). We still provide them (with an explicitly delete) so that
// you end up here if you try anyway.
bool load(handle, bool) = delete;
operator MapType() = delete;
template <typename> using cast_op_type = MapType;
};
// We can return any map-like object (but can only load Refs, specialized next):
template <typename Type> struct type_caster<Type, enable_if_t<is_eigen_dense_map<Type>::value>>
: eigen_map_caster<Type> {};
// Loader for Ref<...> arguments. See the documentation for info on how to make this work without
// copying (it requires some extra effort in many cases).
template <typename PlainObjectType, typename StrideType>
struct type_caster<
Eigen::Ref<PlainObjectType, 0, StrideType>,
enable_if_t<is_eigen_dense_map<Eigen::Ref<PlainObjectType, 0, StrideType>>::value>
> : public eigen_map_caster<Eigen::Ref<PlainObjectType, 0, StrideType>> {
private:
using Type = Eigen::Ref<PlainObjectType, 0, StrideType>;
using props = EigenProps<Type>;
using Scalar = typename props::Scalar;
using MapType = Eigen::Map<PlainObjectType, 0, StrideType>;
using Array = array_t<Scalar, array::forcecast |
((props::row_major ? props::inner_stride : props::outer_stride) == 1 ? array::c_style :
(props::row_major ? props::outer_stride : props::inner_stride) == 1 ? array::f_style : 0)>;
static constexpr bool need_writeable = is_eigen_mutable_map<Type>::value;
// Delay construction (these have no default constructor)
std::unique_ptr<MapType> map;
std::unique_ptr<Type> ref;
// Our array. When possible, this is just a numpy array pointing to the source data, but
// sometimes we can't avoid copying (e.g. input is not a numpy array at all, has an incompatible
// layout, or is an array of a type that needs to be converted). Using a numpy temporary
// (rather than an Eigen temporary) saves an extra copy when we need both type conversion and
// storage order conversion. (Note that we refuse to use this temporary copy when loading an
// argument for a Ref<M> with M non-const, i.e. a read-write reference).
Array copy_or_ref;
public:
bool load(handle src, bool convert) {
// First check whether what we have is already an array of the right type. If not, we can't
// avoid a copy (because the copy is also going to do type conversion).
bool need_copy = !isinstance<Array>(src);
EigenConformable<props::row_major> fits;
if (!need_copy) {
// We don't need a converting copy, but we also need to check whether the strides are
// compatible with the Ref's stride requirements
Array aref = reinterpret_borrow<Array>(src);
if (aref && (!need_writeable || aref.writeable())) {
fits = props::conformable(aref);
if (!fits) return false; // Incompatible dimensions
if (!fits.template stride_compatible<props>())
need_copy = true;
else
copy_or_ref = std::move(aref);
}
else {
need_copy = true;
}
}
if (need_copy) {
// We need to copy: If we need a mutable reference, or we're not supposed to convert
// (either because we're in the no-convert overload pass, or because we're explicitly
// instructed not to copy (via `py::arg().noconvert()`) we have to fail loading.
if (!convert || need_writeable) return false;
Array copy = Array::ensure(src);
if (!copy) return false;
fits = props::conformable(copy);
if (!fits || !fits.template stride_compatible<props>())
return false;
copy_or_ref = std::move(copy);
loader_life_support::add_patient(copy_or_ref);
}
ref.reset();
map.reset(new MapType(data(copy_or_ref), fits.rows, fits.cols, make_stride(fits.stride.outer(), fits.stride.inner())));
ref.reset(new Type(*map));
return true;
}
operator Type*() { return ref.get(); }
operator Type&() { return *ref; }
template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
private:
template <typename T = Type, enable_if_t<is_eigen_mutable_map<T>::value, int> = 0>
Scalar *data(Array &a) { return a.mutable_data(); }
template <typename T = Type, enable_if_t<!is_eigen_mutable_map<T>::value, int> = 0>
const Scalar *data(Array &a) { return a.data(); }
// Attempt to figure out a constructor of `Stride` that will work.
// If both strides are fixed, use a default constructor:
template <typename S> using stride_ctor_default = bool_constant<
S::InnerStrideAtCompileTime != Eigen::Dynamic && S::OuterStrideAtCompileTime != Eigen::Dynamic &&
std::is_default_constructible<S>::value>;
// Otherwise, if there is a two-index constructor, assume it is (outer,inner) like
// Eigen::Stride, and use it:
template <typename S> using stride_ctor_dual = bool_constant<
!stride_ctor_default<S>::value && std::is_constructible<S, EigenIndex, EigenIndex>::value>;
// Otherwise, if there is a one-index constructor, and just one of the strides is dynamic, use
// it (passing whichever stride is dynamic).
template <typename S> using stride_ctor_outer = bool_constant<
!any_of<stride_ctor_default<S>, stride_ctor_dual<S>>::value &&
S::OuterStrideAtCompileTime == Eigen::Dynamic && S::InnerStrideAtCompileTime != Eigen::Dynamic &&
std::is_constructible<S, EigenIndex>::value>;
template <typename S> using stride_ctor_inner = bool_constant<
!any_of<stride_ctor_default<S>, stride_ctor_dual<S>>::value &&
S::InnerStrideAtCompileTime == Eigen::Dynamic && S::OuterStrideAtCompileTime != Eigen::Dynamic &&
std::is_constructible<S, EigenIndex>::value>;
template <typename S = StrideType, enable_if_t<stride_ctor_default<S>::value, int> = 0>
static S make_stride(EigenIndex, EigenIndex) { return S(); }
template <typename S = StrideType, enable_if_t<stride_ctor_dual<S>::value, int> = 0>
static S make_stride(EigenIndex outer, EigenIndex inner) { return S(outer, inner); }
template <typename S = StrideType, enable_if_t<stride_ctor_outer<S>::value, int> = 0>
static S make_stride(EigenIndex outer, EigenIndex) { return S(outer); }
template <typename S = StrideType, enable_if_t<stride_ctor_inner<S>::value, int> = 0>
static S make_stride(EigenIndex, EigenIndex inner) { return S(inner); }
};
// type_caster for special matrix types (e.g. DiagonalMatrix), which are EigenBase, but not
// EigenDense (i.e. they don't have a data(), at least not with the usual matrix layout).
// 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_other<Type>::value>> {
protected:
using Matrix = Eigen::Matrix<typename Type::Scalar, Type::RowsAtCompileTime, Type::ColsAtCompileTime>;
using props = EigenProps<Matrix>;
public:
static handle cast(const Type &src, return_value_policy /* policy */, handle /* parent */) {
handle h = eigen_encapsulate<props>(new Matrix(src));
return h;
}
static handle cast(const Type *src, return_value_policy policy, handle parent) { return cast(*src, policy, parent); }
static constexpr auto name = props::descriptor;
// Explicitly delete these: support python -> C++ conversion on these (i.e. these can be return
// types but not bound arguments). We still provide them (with an explicitly delete) so that
// you end up here if you try anyway.
bool load(handle, bool) = delete;
operator Type() = delete;
template <typename> using cast_op_type = Type;
};
template<typename Type>
struct type_caster<Type, enable_if_t<is_eigen_sparse<Type>::value>> {
typedef typename Type::Scalar Scalar;
typedef remove_reference_t<decltype(*std::declval<Type>().outerIndexPtr())> StorageIndex;
typedef typename Type::Index Index;
static constexpr bool rowMajor = Type::IsRowMajor;
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().is(matrix_type)) {
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(src.nonZeros(), src.valuePtr());
array outerIndices((rowMajor ? src.rows() : src.cols()) + 1, src.outerIndexPtr());
array innerIndices(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::IsRowMajor) != 0>("scipy.sparse.csr_matrix[", "scipy.sparse.csc_matrix[")
+ npy_format_descriptor<Scalar>::name + _("]"));
};
NAMESPACE_END(detail)
NAMESPACE_END(PYBIND11_NAMESPACE)
#if defined(__GNUG__) || defined(__clang__)
# pragma GCC diagnostic pop
#elif defined(_MSC_VER)
# pragma warning(pop)
#endif
dlib/external/pybind11/include/pybind11/embed.h 0 → 100644
View file @ 077a3b60
/*
pybind11/embed.h: Support for embedding the interpreter
Copyright (c) 2017 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 "eval.h"
#if defined(PYPY_VERSION)
# error Embedding the interpreter is not supported with PyPy
#endif
#if PY_MAJOR_VERSION >= 3
# define PYBIND11_EMBEDDED_MODULE_IMPL(name) \
extern "C" PyObject *pybind11_init_impl_##name() { \
return pybind11_init_wrapper_##name(); \
}
#else
# define PYBIND11_EMBEDDED_MODULE_IMPL(name) \
extern "C" void pybind11_init_impl_##name() { \
pybind11_init_wrapper_##name(); \
}
#endif
/** \rst
Add a new module to the table of builtins for the interpreter. Must be
defined in global scope. The first macro parameter is the name of the
module (without quotes). The second parameter is the variable which will
be used as the interface to add functions and classes to the module.
.. code-block:: cpp
PYBIND11_EMBEDDED_MODULE(example, m) {
// ... initialize functions and classes here
m.def("foo", []() {
return "Hello, World!";
});
}
\endrst */
#define PYBIND11_EMBEDDED_MODULE(name, variable) \
static void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &); \
static PyObject PYBIND11_CONCAT(*pybind11_init_wrapper_, name)() { \
auto m = pybind11::module(PYBIND11_TOSTRING(name)); \
try { \
PYBIND11_CONCAT(pybind11_init_, name)(m); \
return m.ptr(); \
} catch (pybind11::error_already_set &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} catch (const std::exception &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} \
} \
PYBIND11_EMBEDDED_MODULE_IMPL(name) \
pybind11::detail::embedded_module name(PYBIND11_TOSTRING(name), \
PYBIND11_CONCAT(pybind11_init_impl_, name)); \
void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &variable)
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
NAMESPACE_BEGIN(detail)
/// Python 2.7/3.x compatible version of `PyImport_AppendInittab` and error checks.
struct embedded_module {
#if PY_MAJOR_VERSION >= 3
using init_t = PyObject *(*)();
#else
using init_t = void (*)();
#endif
embedded_module(const char *name, init_t init) {
if (Py_IsInitialized())
pybind11_fail("Can't add new modules after the interpreter has been initialized");
auto result = PyImport_AppendInittab(name, init);
if (result == -1)
pybind11_fail("Insufficient memory to add a new module");
}
};
NAMESPACE_END(detail)
/** \rst
Initialize the Python interpreter. No other pybind11 or CPython API functions can be
called before this is done; with the exception of `PYBIND11_EMBEDDED_MODULE`. The
optional parameter can be used to skip the registration of signal handlers (see the
Python documentation for details). Calling this function again after the interpreter
has already been initialized is a fatal error.
\endrst */
inline void initialize_interpreter(bool init_signal_handlers = true) {
if (Py_IsInitialized())
pybind11_fail("The interpreter is already running");
Py_InitializeEx(init_signal_handlers ? 1 : 0);
// Make .py files in the working directory available by default
module::import("sys").attr("path").cast<list>().append(".");
}
/** \rst
Shut down the Python interpreter. No pybind11 or CPython API functions can be called
after this. In addition, pybind11 objects must not outlive the interpreter:
.. code-block:: cpp
{ // BAD
py::initialize_interpreter();
auto hello = py::str("Hello, World!");
py::finalize_interpreter();
} // <-- BOOM, hello's destructor is called after interpreter shutdown
{ // GOOD
py::initialize_interpreter();
{ // scoped
auto hello = py::str("Hello, World!");
} // <-- OK, hello is cleaned up properly
py::finalize_interpreter();
}
{ // BETTER
py::scoped_interpreter guard{};
auto hello = py::str("Hello, World!");
}
.. warning::
The interpreter can be restarted by calling `initialize_interpreter` again.
Modules created using pybind11 can be safely re-initialized. However, Python
itself cannot completely unload binary extension modules and there are several
caveats with regard to interpreter restarting. All the details can be found
in the CPython documentation. In short, not all interpreter memory may be
freed, either due to reference cycles or user-created global data.
\endrst */
inline void finalize_interpreter() {
handle builtins(PyEval_GetBuiltins());
const char *id = PYBIND11_INTERNALS_ID;
// Get the internals pointer (without creating it if it doesn't exist). It's possible for the
// internals to be created during Py_Finalize() (e.g. if a py::capsule calls `get_internals()`
// during destruction), so we get the pointer-pointer here and check it after Py_Finalize().
detail::internals **internals_ptr_ptr = &detail::get_internals_ptr();
// It could also be stashed in builtins, so look there too:
if (builtins.contains(id) && isinstance<capsule>(builtins[id]))
internals_ptr_ptr = capsule(builtins[id]);
Py_Finalize();
if (internals_ptr_ptr) {
delete *internals_ptr_ptr;
*internals_ptr_ptr = nullptr;
}
}
/** \rst
Scope guard version of `initialize_interpreter` and `finalize_interpreter`.
This a move-only guard and only a single instance can exist.
.. code-block:: cpp
#include <pybind11/embed.h>
int main() {
py::scoped_interpreter guard{};
py::print(Hello, World!);
} // <-- interpreter shutdown
\endrst */
class scoped_interpreter {
public:
scoped_interpreter(bool init_signal_handlers = true) {
initialize_interpreter(init_signal_handlers);
}
scoped_interpreter(const scoped_interpreter &) = delete;
scoped_interpreter(scoped_interpreter &&other) noexcept { other.is_valid = false; }
scoped_interpreter &operator=(const scoped_interpreter &) = delete;
scoped_interpreter &operator=(scoped_interpreter &&) = delete;
~scoped_interpreter() {
if (is_valid)
finalize_interpreter();
}
private:
bool is_valid = true;
};
NAMESPACE_END(PYBIND11_NAMESPACE)
dlib/external/pybind11/include/pybind11/eval.h 0 → 100644
View file @ 077a3b60
/*
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
#include "pybind11.h"
NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
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 = globals(), object local = object()) {
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_expr, size_t N>
object eval(const char (&s)[N], object global = globals(), object local = object()) {
/* Support raw string literals by removing common leading whitespace */
auto expr = (s[0] == '\n') ? str(module::import("textwrap").attr("dedent")(s))
: str(s);
return eval<mode>(expr, global, local);
}
inline void exec(str expr, object global = globals(), object local = object()) {
eval<eval_statements>(expr, global, local);
}
template <size_t N>
void exec(const char (&s)[N], object global = globals(), object local = object()) {
eval<eval_statements>(s, global, local);
}
template <eval_mode mode = eval_statements>
object eval_file(str fname, object global = globals(), object local = object()) {
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!");
}
#if PY_VERSION_HEX < 0x03000000 && defined(PYPY_VERSION)
PyObject *result = PyRun_File(f, fname_str.c_str(), start, global.ptr(),
local.ptr());
(void) closeFile;
#else
PyObject *result = PyRun_FileEx(f, fname_str.c_str(), start, global.ptr(),
local.ptr(), closeFile);
#endif
if (!result)
throw error_already_set();
return reinterpret_steal<object>(result);
}
NAMESPACE_END(PYBIND11_NAMESPACE)
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